diff --git a/CHANGELOG b/CHANGELOG
index 5ca2fa7fb3e23d3e6e53488e646dc1368c397622..63729b9cdf6abb78a759d0fa1f4c88dea21a5e4b 100644
--- a/CHANGELOG
+++ b/CHANGELOG
@@ -1,5 +1,5 @@
 *****************************************************************
-* ARIEL FGS HFS Repository, ARIEL-UVIE-PL-ML-001 0.2, CHANGELOG *
+* ARIEL FGS HFS Repository, ARIEL-UVIE-PL-ML-001 1.2, CHANGELOG *
 *****************************************************************
 
 ################################################################################
@@ -124,7 +124,7 @@ V1.0:
     - No change to close neighbour confusion, a correction will be provided in 
       a future update
 ################################################################################
-V1.0:
+V1.1:
 31.January, 2024 Gerald Mösenlechner   <gerald.moesenlechner@univie.ac.at>
 
    Fixed Issues:
@@ -147,11 +147,43 @@ V1.0:
 
     - Added testplan and report
 
-    - fixed CoG position update in Trackign algorithm
-
-    - Added alternative PSFs to model other WFE
+    - fixed CoG position update in Tracking algorithm
 
   Open Issues:
     - State Preservation: still discrepency on the first centroid.
 
+################################################################################
+V1.2:
+03.May, 2024 Gerald Mösenlechner   <gerald.moesenlechner@univie.ac.at>
+
+   Fixed Issues:
+
+    - Fixed saving of state
+
+    - added circular FoV
+
+    - added separate delays for mode and channel transitions
+
+    - updated noise model to NDR
+
+    - updated Hot Pixel implementation
+
+    - Fixed shift intruduced by smeaing kernel
+
+    - fixed issues in Target aquisition 
+
+    - fixed error in Centroid validation
+
+    - added check for saturated images
+
+    - added compliance to test report
+
+    - added output files for tests
+
+    - updated Star validation table
+
+    - updated gain modeling
+
+    - switched HFS to 80 Hz
+
 ################################################################################
\ No newline at end of file
diff --git a/Calibration_FGS1.txt b/Calibration_FGS1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0e4faf96a13996daa212126421da2c2a8e7da9b8
--- /dev/null
+++ b/Calibration_FGS1.txt
@@ -0,0 +1,40000 @@
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diff --git a/Calibration_FGS2.txt b/Calibration_FGS2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..efbaf4c34145e285c3843d6ebc1a72f2e1d7f02d
--- /dev/null
+++ b/Calibration_FGS2.txt
@@ -0,0 +1,40000 @@
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diff --git a/Documents/ARIEL-UVIE-PL-PL-005_1r1.pdf b/Documents/ARIEL-UVIE-PL-PL-005_1r1.pdf
new file mode 100644
index 0000000000000000000000000000000000000000..03aa58b7c86c653e92601ebecee59fc8ac15d3aa
Binary files /dev/null and b/Documents/ARIEL-UVIE-PL-PL-005_1r1.pdf differ
diff --git a/JUSTIFICATION b/JUSTIFICATION
index 697b06212fa47de33730910a80fec612845a58aa..639142c883658fc4d54a850abc83d96d09e618b9 100644
--- a/JUSTIFICATION
+++ b/JUSTIFICATION
@@ -1,12 +1,12 @@
 ************************************************************
-* ARIEL FGS HFS, , ARIEL-UVIE-PL-ML-001 1.1, JUSTIFICATION *
+* ARIEL FGS HFS, , ARIEL-UVIE-PL-ML-001 1.2, JUSTIFICATION *
 ************************************************************
 
 This note describes the justification of the parameters and values
 used in the HFS.
 
-All detector parameters are based on the Ariel Performance
-Parameters Database Version 3.0.0. The Psf's provided are
+All detector parameters are based on the Ariel Mission Parameter 
+Database (MPDB), release 3. The Psf's provided are
 the current best estimate available from optical simulations.
 Updates of these parameters will be provided with future versions
 of the Performance Parameters Database.
@@ -17,20 +17,18 @@ latest analyses provided in ARIEL-UVIE-PL-TN-001 Iss 1.3.
 ##################################################################
 
 Limitations of the Simulations:
-
 The current HFS version does not include the simulation of high
 frequency jitter. Based on analyses provided in 
 ARIEL-UVIE-PL-TN-001 Iss 1.2m these features hardly impact the 
 performance of the algorithms and is replaced in te HFS by a 
 configurable normal distribution that can be added to the centroid.
 
-The simulator also does not cover glitches caused by Cosmic-ray
+The simulator also does not model glitches caused by Cosmic-ray
 impacts. Most notably, the phenomenon called "Spaceballs" which
 generates extended bright regions that saturate the detector are
 not included in the current version. These features can have an
 impact on the centroid and can lead to the loss of measurements.
 The entire effect of these features is still under investigation
-and the possibility to simulate them will be provided in future
-versions. It is possible to model this behavior outside of the 
-HFS by setting the measurement to invalid for a given amount of
-time. The current values are given in ARIEL-UVIE-PL-TN-002 Iss 1.2
+and the possibility. It is possible to model this behavior outside 
+of the HFS by setting the measurement to invalid for a given amount 
+of time. The current values are given in ARIEL-UVIE-PL-TN-002 Iss 1.2
diff --git a/MANUAL b/MANUAL
index 110a2745f7fa50a75bf7c1e53afa08a6d7c1aec6..ed7951e44f858b95bc8816a17200052bcb10d4d9 100644
--- a/MANUAL
+++ b/MANUAL
@@ -1,5 +1,5 @@
 *****************************************************
-* ARIEL FGS HFS, ARIEL-UVIE-PL-ML-001 1.1, MANUAL *
+* ARIEL FGS HFS, ARIEL-UVIE-PL-ML-001 1.2, MANUAL *
 *****************************************************
 
 The FGS HFS is based on the c++ object "FGS" defined in HFS_API.hpp. The
@@ -92,9 +92,10 @@ cnetroid packet struct with following attributes:
                             102: no star inside the image
                             103: star is not distinct feature
                             104: signal is below the given threshold
-                            105: signal sigma is below the given threshold
                             106: Validity index is below the given threshold
                             107: No star matched the defined signal
+                            108: The identified star is partially cut off (Acquistion only)
+                            109: The image is saturated
 
     - unsigned int magnitude: magnitude of the star in ADU
 
diff --git a/Quaternion_Calculator.py b/Quaternion_Calculator.py
index a5865c1b85b4901cc64f22fc08ce2bd21ed100ab..1987b5b2483aa99112f8070413264e8399405aa0 100644
--- a/Quaternion_Calculator.py
+++ b/Quaternion_Calculator.py
@@ -92,10 +92,8 @@ if __name__ == "__main__":
 
     star = star_cat.loc[star_cat['Name'] == id]
     print("Quaternion for Star:", id)
-    star.dec = star.dec
-    star.ra = star.ra
 
-    star_vec = np.array((np.cos(star.dec*(np.pi/180))*np.cos(star.ra*(np.pi/180)), np.cos(star.dec*(np.pi/180))*np.sin(star.ra*(np.pi/180)), np.sin(star.dec*(np.pi/180))))
+    star_vec = np.array((np.cos(star["dec"]*(np.pi/180))*np.cos(star["ra"]*(np.pi/180)), np.cos(star["dec"]*(np.pi/180))*np.sin(star["ra"]*(np.pi/180)), np.sin(star["dec"]*(np.pi/180))))
 
     sc_vec = np.array((0, 0, 1)) #target sc-vector
 
diff --git a/README b/README
index d106371af3b7510f770fd5058d592a407052d975..dbaa0da8426012db28ba98f2e49b5da24606469d 100644
--- a/README
+++ b/README
@@ -1,5 +1,5 @@
 ******************************************************
-* ARIEL FGS HFS Repository, ARIEL-UVIE-PL-ML-001 1.1 *
+* ARIEL FGS HFS Repository, ARIEL-UVIE-PL-ML-001 1.2 *
 ******************************************************
 
 This repository contains the HFS, the simulator SW used to simulate the
@@ -19,9 +19,10 @@ Files:
     matlab_model/Example_model.slx .. Simulink example showing the bus usage
     test/HFSTest .................... Unit tests for the HFS library (.cpp/.hpp)
     test/example.cpp ................ Example script showing the function of the library
-    Quaternion_Calulator.pxy ........ Python command-line tool for quaternion determination
+    Quaternion_Calulator.py ........ Python command-line tool for quaternion determination
     Star_Validation_Signals.xlsx .... Table containing target signals and validation values for stars
     matlab_model/Test_Cases/ ........ Simulink Test Benches used in functional verification
+    create_hot_pixels.py ............ Python script to create hot pixels and the corresponding calibration file
     CHANGELOG
     README
     MANUAL
@@ -35,6 +36,7 @@ Dependencies:
   - fftw3-devel (3.3.3)
   - openmpi-devel (1.10.7)
   - cppunit (optional, needed by unit tests)
+  - clang (optional, needed for static checks)
   - doxygen (optional, needed by documenation)
   - plantuml (optional, needed by documentation)
   - python numpy (optional, needed by Quaternion_Calulator)
@@ -55,7 +57,17 @@ Build S-Function block example:
 Run Quaternion_Calulator:
   > python3 Quaternion_Calulator.py TARGET_STAR_ID
 
+Run unit tests:
+  > make scan -f Makefile_Centos
+
+Run test cases:
+  Build the HFS function block
+  set the time solver of the block to Fixed-step with 0.125s step size
+  Run the desired test case
+
+  Note that the cases use the config file in the matlab model folder
+
 The software provided here is ©University of Vienna.
 
 
-GM 30th January, 2024
+GM 03rd May, 2024
diff --git a/Star_Validation_Signals.xlsx b/Star_Validation_Signals.xlsx
index adc250914a47de1e7bb35962b8f4bc396907002a..a5d5a51dfc303525c55c03fa5dd807544148cfc3 100644
Binary files a/Star_Validation_Signals.xlsx and b/Star_Validation_Signals.xlsx differ
diff --git a/create_hot_pixels.py b/create_hot_pixels.py
new file mode 100644
index 0000000000000000000000000000000000000000..2be287486d2d55f1578c04cef203f339549a4fca
--- /dev/null
+++ b/create_hot_pixels.py
@@ -0,0 +1,18 @@
+import numpy as np
+
+def createDefectPixels(xDim, yDim, n, max, min, value, bias):
+    hp = np.ones((xDim, yDim))
+    ref = np.full_like(hp, bias)
+    for i in range(n):
+        x = np.random.randint(0, xDim)
+        y = np.random.randint(0, yDim)
+        hp[x, y] = np.random.uniform(min, max)
+        ref[x, y] = value
+
+    return hp, ref
+
+if __name__ == "__main__":
+    hotPixels, Calibration = createDefectPixels(200, 200, 37, 100, 0, 0xFFFF, 1310)
+
+    np.savetxt('hotPixels_FGS1.txt', hotPixels.ravel(), fmt='%f')
+    np.savetxt('Calibration_FGS1.txt', Calibration.ravel(), fmt='%i')
diff --git a/hotPixels_FGS1.txt b/hotPixels_FGS1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e9ead95a49463420d8e9ba9253fdcc05610bbd46
--- /dev/null
+++ b/hotPixels_FGS1.txt
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diff --git a/hotPixels_FGS2.txt b/hotPixels_FGS2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..79132dcb2f9079098f6d4be990fc8f826424ceab
--- /dev/null
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diff --git a/matlab_model/Acquisition_Target_Switch.mat b/matlab_model/Acquisition_Target_Switch.mat
new file mode 100644
index 0000000000000000000000000000000000000000..1390f3eb27ad3f7fc864be2fca291ea524e3c763
Binary files /dev/null and b/matlab_model/Acquisition_Target_Switch.mat differ
diff --git a/matlab_model/Dynamic_Performance.mat b/matlab_model/Dynamic_Performance.mat
new file mode 100644
index 0000000000000000000000000000000000000000..91adb30d40f9df437ed89b4f45f1c802c7ef9a79
Binary files /dev/null and b/matlab_model/Dynamic_Performance.mat differ
diff --git a/matlab_model/FoV_Test.mat b/matlab_model/FoV_Test.mat
new file mode 100644
index 0000000000000000000000000000000000000000..2e75bc1c68a7ef89f1c8dc293ae3b0148ca7c211
Binary files /dev/null and b/matlab_model/FoV_Test.mat differ
diff --git a/matlab_model/HFS_config.xml b/matlab_model/HFS_config.xml
index 971893fb94e4be3d4ff9ca24a7b1e5dcdcbe47dc..eaac5a19e5762674941546ec3bf37accd9ded9fd 100644
--- a/matlab_model/HFS_config.xml
+++ b/matlab_model/HFS_config.xml
@@ -1,8 +1,9 @@
 <HFS_MetaInfo>
+  <simulation_time>0.0</simulation_time>
 
   <!--  Global timestep of the matlab simulink model.
-        Default: 0.015625 (64Hz)-->
-  <timestep>0.015625</timestep>
+        Default: 0.0125 (680Hz)-->
+  <timestep>0.0125</timestep>
 
   <!-- 	Random seed used in the noise generation -->
   <random_seed>135412</random_seed>
@@ -33,13 +34,11 @@
   <!--  The mean dark current in a pixel in electrons per
         second. Deefault: 1 -->
   <dark_average>1</dark_average>
-
-  <!--  The fraction of hotpixels of all sensor pixels. These
-        are randomly selected during the simulation. Al-
-        lowed value range: 0.0-1.0. -->
-  <hotpixel_amount>0</hotpixel_amount>
-
-  <!--  The full well capacity of the detector in ADU  -->
+  
+  <!--  The gain of the the detectors. Default: 0.655 -->
+  <gain>0.655</gain>
+  
+  <!--  The full well capacity of the detector in e-. Default: 100000  -->
   <full_well_capacity>100000</full_well_capacity>
 
   <!--  The difference threshold in ADU at which the median filter will replace
@@ -63,15 +62,15 @@
   <!--  relative path of the Psf input files. The psfs are given as 40x40px
         arrays that are stored in the C array format -->
 
-  <FGS1_Psf>./FGS1_270nm.txt</FGS1_Psf>
+  <FGS1_Psf>../FGS1_270nm.txt</FGS1_Psf>
 
-  <FGS2_Psf>./FGS2_270nm.txt</FGS2_Psf>
+  <FGS2_Psf>../FGS2_270nm.txt</FGS2_Psf>
 
-  <!-- Plate scale of FGS1 in mas/px, Default: 175 -->
-  <FGS1_PS>175.0</FGS1_PS>
+  <!-- Plate scale of FGS1 in mas/px, Default: 173 -->
+  <FGS1_PS>173.0</FGS1_PS>
 
   <!-- Plate scale of FGS2 in mas/px, Default: 136 -->
-  <FGS2_PS>137.0</FGS2_PS>
+  <FGS2_PS>136.0</FGS2_PS>
   
   <!-- Focal length of FGS1 in m, Default: 21.21 -->
   <FGS1_FL>21.21</FGS1_FL>
@@ -110,11 +109,13 @@
   <FWHM_FGS2_x>6</FWHM_FGS2_x>
   <FWHM_FGS2_y>6</FWHM_FGS2_y>
 
-  <!-- Time delay causes by the mode switch in s. -->
-  <transition_delay>0.5</transition_delay>
+  <!-- Time delay causes by the channel switch in s. -->
+  <transition_delay_channel>0.5</transition_delay_channel>
 
-  <!--  End time of an ongoing transition. Used for State saving. 0 denotes no transition. Default: 0 
-  -->
+  <!-- Time delay causes by the mode switch in s. Worst Case: 2s -->
+  <transition_delay_mode>0.5</transition_delay_mode>
+
+  <!--  End time of an ongoing transition. Used for State saving. 0 denotes no transition. Default: 0 -->
   <transition_end>0</transition_end>
 
   <!--  Target signal in ADU per second used for validation -->
@@ -123,9 +124,6 @@
   <!--  lower signal limit ("There is a signal" check) for centroid validation in % of target signal. defalt 1%-->
   <lower_signal_limit>1</lower_signal_limit>
 
-  <!--  Sigma threshold in ADU used in the validation procedure -->
-  <validation_sigma>10</validation_sigma>
-
   <!--  Threshold for the Pearson correlation used as the validity index.
         Index can range from -1 to 1. A value of 0.5 to 0.6 serves as a
         decent cutoff for invalid measurements-->
@@ -134,6 +132,38 @@
   <!-- default failed status of the HFS -->
   <failed_status>0</failed_status>
 
+  <!--  Ramp length in samples. Default: 100 -->
+  <ramp_length>100</ramp_length>
+
+  <!-- current position in the ramp. Default: 0 -->
+  <ramp_counter>0</ramp_counter>
+  
+  <!-- Maximum ramp length. Default: 150 -->
+  <max_ramp>150</max_ramp>
+  
+  <!-- Limit for staturated pixels in an image. At this limit, the centroid will be set invalid. 
+  Used for the Snowball detection. Default: 5 -->
+  <saturation_limit>5</saturation_limit>
+
+  <!-- Calibration and hot pixel map that replaces the first sample of a ramp for FGS1 -->
+  <reset_calibration_FGS1>../Calibration_FGS1.txt</reset_calibration_FGS1>
+
+  <!-- Calibration and hot pixel map that replaces the first sample of a ramp for FGS2 -->
+  <reset_calibration_FGS2>../Calibration_FGS2.txt</reset_calibration_FGS2>
+  
+  <!--  Name of the Hot and Dead Pixel input map to be used by the HFS for FGS2 -->
+  <hp_map_FGS1>../hotPixels_FGS1.txt</hp_map_FGS1>
+
+  <!--  Name of the Hot and Dead Pixel input map to be used by the HFS for FGS2 --> 
+  <hp_map_FGS2>../hotPixels_FGS2.txt</hp_map_FGS2>
+
+  <!-- Noise of the reset anomaly -->
+  <reset_noise>10</reset_noise>
+
+  <!--  The radius of the circular field of view in arcsec. set to zero for full FoV. 
+   Default: 22 -->
+  <circular_fov_radius>22</circular_fov_radius>
+
   <!--  Configuration of the Tracking procedure -->
   <Tracking>
     <!--  Iterations of the algorithm. Standard is 5 -->
@@ -143,7 +173,7 @@
     <!--  Toogle thresholding -->
     <thresholding>2</thresholding>
     <!--  Delay of the centroid packet in seconds.
-          Note: must be lower than the integration time (0.125 s) -->
+          Note: must be lower than the integration time (0.1 s) Worst case: 20 ms -->
     <delay>0.02</delay>
     <!-- Exposure time for mode Tracking in s, default: 0.1 -->
     <exposure_time>0.1</exposure_time>
@@ -162,37 +192,46 @@
     <!--  Toogle thresholding -->
     <thresholding>2</thresholding>
     <!--  Delay of the centroid packet in seconds.
-          Note: must be lower than the integration time (0.5 s) -->
+          Note: must be lower than the integration time (0.5 s) Worst case: 150  ms -->
     <delay>0.1</delay>
     <!-- Exposure time for mode Acquisition in s, default: 0.5 -->
     <exposure_time>0.5</exposure_time>
     <!--  Brightness tolerance for target identification default is 30% -->
     <tolerance>30</tolerance>
-    <!-- Dimensiton of the Acquisition window for FGS1, default: 128px -->
+    <!-- Dimensiton of the Acquisition window for FGS1, default: 177px -->
     <FGS1_dim>128</FGS1_dim>
-    <!-- Dimensiton of the Acquisition window for FGS2, default: 161px -->
-    <FGS2_dim>161</FGS2_dim>
+    <!-- Dimensiton of the Acquisition window for FGS2, default: 177px -->
+    <FGS2_dim>162</FGS2_dim>
     <!-- Limit of brightest sources to be considered in the source extraction. Default: 25-->
     <target_limit>25</target_limit>
-    <!-- Signal Sigma Limit for Source extent check. Default: 1000. Possible cause for 107 error if set too high-->
-    <extension_sigma>1000</extension_sigma>
+    <!-- Signal Sigma Limit for Source extent check. Default: 500. Possible cause for 107 error if set too high-->
+    <extension_sigma>500</extension_sigma>
   </Acquisition>
 
   <!--  Relative path to the star catalogue -->
-  <Star_catalogue>./src/Star_catalogue.csv</Star_catalogue>
+  <Star_catalogue>../src/Star_catalogue.csv</Star_catalogue>
 
   <!-- 	Flag indicating if images features shall be generated from existing files. 
   	Only applicable for saved states-->
   <use_saved_files>0</use_saved_files>
 
-  <hp_map>./HP_map.txt</hp_map>
-
   <flat>./flat_field.txt</flat>
 
   <smear>./smear_kernel.txt</smear>
 
+  <ramp>./ramp_input.txt</ramp>
+
+  <previous_image>./previous_image.txt</previous_image>
+
   <smear_x>0.0</smear_x>
   <smear_y>0.0</smear_y>
-
+  
+  <centroid_x>0</centroid_x>
+  <centroid_y>0</centroid_y>
+  <centroid_time>0</centroid_time>
+  <centroid_valid>0</centroid_valid>
+  <centroid_index>0</centroid_index>
+  <centroid_mag>0</centroid_mag>
+  <centroid_send>0</centroid_send>
 
 </HFS_MetaInfo>
diff --git a/matlab_model/Mode_and_Channel_Switch.mat b/matlab_model/Mode_and_Channel_Switch.mat
new file mode 100644
index 0000000000000000000000000000000000000000..4f8faefa7cde6c8049b5d049e45f162d01c673e5
Binary files /dev/null and b/matlab_model/Mode_and_Channel_Switch.mat differ
diff --git a/matlab_model/Reset_and_Save.mat b/matlab_model/Reset_and_Save.mat
new file mode 100644
index 0000000000000000000000000000000000000000..629caa59ffcf5a101392ba423822e43caedaef3b
Binary files /dev/null and b/matlab_model/Reset_and_Save.mat differ
diff --git a/matlab_model/Reset_and_Save_post_save.mat b/matlab_model/Reset_and_Save_post_save.mat
new file mode 100644
index 0000000000000000000000000000000000000000..d1b64101cd8622bea93d01d9927d1e912f69f5a4
Binary files /dev/null and b/matlab_model/Reset_and_Save_post_save.mat differ
diff --git a/matlab_model/Shift_Test.mat b/matlab_model/Shift_Test.mat
new file mode 100644
index 0000000000000000000000000000000000000000..558b1e9ab1bedcaab739b84f2f5a88ad591fad93
Binary files /dev/null and b/matlab_model/Shift_Test.mat differ
diff --git a/matlab_model/Test_cases/Acquisition_Target_Switch.slx b/matlab_model/Test_cases/Acquisition_Target_Switch.slx
index 5806590e63cb04c7bf5c100ccd3c6800f7d37d6e..217a43ed759cd93f28e82833cbf9032bc5427611 100644
Binary files a/matlab_model/Test_cases/Acquisition_Target_Switch.slx and b/matlab_model/Test_cases/Acquisition_Target_Switch.slx differ
diff --git a/matlab_model/Test_cases/Dynamic_Performance.slx b/matlab_model/Test_cases/Dynamic_Performance.slx
index e7048b9b0cff1be1ed75ef7b6547a5ebc2b9c68d..80e30d38e2e84f6733391b66895c277a0df030e3 100644
Binary files a/matlab_model/Test_cases/Dynamic_Performance.slx and b/matlab_model/Test_cases/Dynamic_Performance.slx differ
diff --git a/matlab_model/Test_cases/FoV_Test.slx b/matlab_model/Test_cases/FoV_Test.slx
index 729ea5b2212dc33b26abb7a94990e576193068a6..9f02389de0edac79072b2af42541fce083e65205 100644
Binary files a/matlab_model/Test_cases/FoV_Test.slx and b/matlab_model/Test_cases/FoV_Test.slx differ
diff --git a/matlab_model/Test_cases/Mode_Channel_Switch.slx b/matlab_model/Test_cases/Mode_Channel_Switch.slx
index 6357c9bfda682d16043d0add4495d69f80098ec3..af7f53d528fd6a382af5f1aa08b3b4e63fd46030 100644
Binary files a/matlab_model/Test_cases/Mode_Channel_Switch.slx and b/matlab_model/Test_cases/Mode_Channel_Switch.slx differ
diff --git a/matlab_model/Test_cases/Reset_and_Save.slx b/matlab_model/Test_cases/Reset_and_Save.slx
index 60f4cfcd6ec77007d28e5319439da7e3b0731b10..fa6211521c13fef574c14d044fa7149e509fbce4 100644
Binary files a/matlab_model/Test_cases/Reset_and_Save.slx and b/matlab_model/Test_cases/Reset_and_Save.slx differ
diff --git a/matlab_model/Test_cases/Shift_Test.slx b/matlab_model/Test_cases/Shift_Test.slx
index 973319d5e8785c421f8928f9dbedfee68069e348..fac97338c3a9d2b62652c04d83aaa81ae9f164eb 100644
Binary files a/matlab_model/Test_cases/Shift_Test.slx and b/matlab_model/Test_cases/Shift_Test.slx differ
diff --git a/matlab_model/Test_cases/Validation_Tests.slx b/matlab_model/Test_cases/Validation_Tests.slx
index 54198148284f4c3b846aa51400e4a0385455c598..b02c764767460823a5c8b36e6e804a33599baa0d 100644
Binary files a/matlab_model/Test_cases/Validation_Tests.slx and b/matlab_model/Test_cases/Validation_Tests.slx differ
diff --git a/matlab_model/Validity_Test.mat b/matlab_model/Validity_Test.mat
new file mode 100644
index 0000000000000000000000000000000000000000..f0065e7bbb3be2d68f1ce7ba81b6906b791d1b84
Binary files /dev/null and b/matlab_model/Validity_Test.mat differ
diff --git a/src/HFS_API.cpp b/src/HFS_API.cpp
index 39b918650fac5a18a2f20cdb9dcae76c7fa2d785..9ca6fba5e25a9c415b1455cd8a8a963b9e381363 100644
--- a/src/HFS_API.cpp
+++ b/src/HFS_API.cpp
@@ -1,8 +1,8 @@
 /**
 * @file     HFS_API.cpp
 * @author   Gerald Mösenlechner (gerald.moesenlechner@univie.ac.at)
-* @date     January, 2024
-* @version  1.1
+* @date     May, 2024
+* @version  1.2
 *
 * @copyright
 * This program is free software; you can redistribute it and/or modify it
@@ -41,14 +41,24 @@ double dark[XDIM*YDIM];
 double flat[XDIM*YDIM];
 double bkgr[XDIM*YDIM];
 double shot[XDIM*YDIM];
+double hot_pixel_master_FGS1[XDIM*YDIM];
+double hot_pixel_master_FGS2[XDIM*YDIM];
 double hot_pixels[XDIM*YDIM];
 double FGS1_Psf[XDIM_PSF*YDIM_PSF];
 double FGS2_Psf[XDIM_PSF*YDIM_PSF];
 double starmask[XDIM*YDIM];
 double smeared_mask[XDIM*YDIM];
 double starimage[XDIM*YDIM];
+double fov_mask_FGS1[XDIM*YDIM];
+double fov_mask_FGS2[XDIM*YDIM];
 unsigned int image[XDIM*YDIM];
+unsigned int image_ramp[XDIM*YDIM];
+unsigned int previous_image[XDIM*YDIM];
+unsigned int tmp_image[XDIM*YDIM];
 unsigned int filtered_image[XDIM*YDIM];
+unsigned short reference_cal_master_FGS1[XDIM*YDIM];
+unsigned short reference_cal_master_FGS2[XDIM*YDIM];
+unsigned short reference_cal[XDIM*YDIM];
 
 
 /**
@@ -67,19 +77,23 @@ unsigned int filtered_image[XDIM*YDIM];
 int FGS :: reset_fgs(const char* config_file, int hard_reset)
 {
     unsigned int i;
-    std::ifstream psf1_if, psf2_if, hp_if, flat_if, smear_if;
+    std::ifstream psf1_if, psf2_if, hp_if, flat_if, smear_if, ramp_if, img_if, reference_if;
     tinyxml2::XMLDocument config;
     config.LoadFile(config_file);
     tinyxml2::XMLElement *cRootElement = config.RootElement();
     unsigned int use_save;
-    const char* hp_buffer;
+    const char* hp_buffer1;
+    const char* hp_buffer2;
     const char* flat_buffer;
     const char* smear_buffer;
+    const char* ramp_buffer;
+    const char* img_buffer;
     const char* psf1_buffer;
     const char* psf2_buffer;
     const char* catalogue_buffer;
     const char* modeInput;
-
+    const char* reference_buffer1;
+    const char* reference_buffer2;
     targets -> number = 0;
     /* Initialise smearing points and counters*/
     x_smear_0 = 0.;
@@ -87,10 +101,14 @@ int FGS :: reset_fgs(const char* config_file, int hard_reset)
     sync_ctr = 0;
     send_cent = 0;
     sim_time = 0.;
+    trf_x = 0;
+    trf_y = 0;
+    sat_counter = 0;
   
     /*parse xml file*/
     if (NULL != cRootElement){
         if(hard_reset == 1){
+            cRootElement -> FirstChildElement("simulation_time") -> QueryDoubleText(&sim_time);
             cRootElement -> FirstChildElement("timestep") -> QueryDoubleText(&timestep);
             cRootElement -> FirstChildElement("random_seed") -> QueryUnsignedText(&rand_seed);
             cRootElement -> FirstChildElement("integration_start") -> QueryDoubleText(&start_exposure);
@@ -104,7 +122,7 @@ int FGS :: reset_fgs(const char* config_file, int hard_reset)
         cRootElement -> FirstChildElement("bkgr_noise") -> QueryDoubleText(&bkgr_noise);
         cRootElement -> FirstChildElement("readout_noise") -> QueryDoubleText(&read_noise);
         cRootElement -> FirstChildElement("dark_average") -> QueryDoubleText(&dark_mean);
-        cRootElement -> FirstChildElement("hotpixel_amount") -> QueryDoubleText(&hp_amount);
+        cRootElement -> FirstChildElement("gain") -> QueryDoubleText(&gain);
         cRootElement -> FirstChildElement("full_well_capacity") -> QueryUnsignedText(&full_well_cap);
         cRootElement -> FirstChildElement("median_filter_threshold") -> QueryUnsignedText(&med_threshold);
         cRootElement -> FirstChildElement("jitter_error_std") -> QueryDoubleText(&jitter_error);
@@ -113,13 +131,17 @@ int FGS :: reset_fgs(const char* config_file, int hard_reset)
         cRootElement -> FirstChildElement("reset_end") -> QueryDoubleText(&reset_end);
         cRootElement -> FirstChildElement("timing_tolerance") -> QueryDoubleText(&timing_tolerance);
         /*Set random seed*/
-        srandom(rand_seed);
+        srand(rand_seed);
 
         psf1_buffer = cRootElement -> FirstChildElement("FGS1_Psf") -> GetText();
         psf_fgs1.assign(psf1_buffer);     
         /*check if Psf inputs exist*/
         psf1_if.open(psf1_buffer, std::ifstream::in);
         if (psf1_if.is_open()){
+            if(is_empty(psf1_if)){
+                std::cerr << "The PSF file for FGS1 is empty!" << std::endl;
+                return -1;
+            }
             for (i = 0; i < XDIM_PSF*YDIM_PSF; i++){
                 psf1_if >> FGS1_Psf[i];
             }
@@ -134,6 +156,10 @@ int FGS :: reset_fgs(const char* config_file, int hard_reset)
 
         psf2_if.open(psf2_buffer, std::ifstream::in);
         if (psf2_if.is_open()){
+            if(is_empty(psf2_if)){
+                std::cerr << "The PSF file for FGS2 is empty!" << std::endl;
+                return -1;
+            }
             for (i = 0; i < XDIM_PSF*YDIM_PSF; i++){
                 psf2_if >> FGS2_Psf[i];
             }
@@ -169,14 +195,110 @@ int FGS :: reset_fgs(const char* config_file, int hard_reset)
         cRootElement -> FirstChildElement("FWHM_FGS1_y") -> QueryUnsignedText(&fwhm1_y);
         cRootElement -> FirstChildElement("FWHM_FGS2_x") -> QueryUnsignedText(&fwhm2_x);
         cRootElement -> FirstChildElement("FWHM_FGS2_y") -> QueryUnsignedText(&fwhm2_y);
+        cRootElement -> FirstChildElement("transition_delay_channel") -> QueryDoubleText(&transition_delay_channel);
+        cRootElement -> FirstChildElement("transition_delay_mode") -> QueryDoubleText(&transition_delay_mode);
 
-        cRootElement -> FirstChildElement("transition_delay") -> QueryDoubleText(&transition_delay);
         cRootElement -> FirstChildElement("transition_end") -> QueryDoubleText(&transition_end);
         cRootElement -> FirstChildElement("target_signal") -> QueryUnsignedText(&target_signal);
         cRootElement -> FirstChildElement("lower_signal_limit") -> QueryDoubleText(&lower_sig_lim);
-        cRootElement -> FirstChildElement("validation_sigma") -> QueryUnsignedText(&val_sigma);
         cRootElement -> FirstChildElement("validation_pearson_limit") -> QueryDoubleText(&pearson_limit);
         cRootElement -> FirstChildElement("failed_status") -> QueryUnsignedText(&failed);
+        cRootElement -> FirstChildElement("ramp_length") -> QueryUnsignedText(&ramp_length);
+        cRootElement -> FirstChildElement("ramp_counter") -> QueryUnsignedText(&ramp_counter);
+        cRootElement -> FirstChildElement("max_ramp") -> QueryUnsignedText(&max_ramp);
+        cRootElement -> FirstChildElement("saturation_limit") -> QueryUnsignedText(&sat_limit);
+
+        reference_buffer1 = cRootElement -> FirstChildElement("reset_calibration_FGS1") -> GetText();
+        reference_data_fgs1.assign(reference_buffer1);     
+        reference_if.open(reference_buffer1, std::ifstream::in);
+
+        if (reference_if.is_open()){
+            if(is_empty(reference_if)){
+                std::cerr << "The calibration file for FGS1 is empty!" << std::endl;
+                return -1;
+            }
+            for (i = 0; i < XDIM*YDIM; i++){
+                reference_if >> reference_cal_master_FGS1[i];
+            }
+            reference_if.close();  
+        }
+        else {
+            std::cerr << "Can't find input file " << reference_data_fgs1 << std::endl;
+            return -1;
+        }
+
+        reference_buffer2 = cRootElement -> FirstChildElement("reset_calibration_FGS2") -> GetText();
+        reference_data_fgs2.assign(reference_buffer2);     
+        reference_if.open(reference_buffer2, std::ifstream::in);
+
+        if (reference_if.is_open()){
+            if(is_empty(reference_if)){
+                std::cerr << "The calibration file for FGS2 is empty!" << std::endl;
+                return -1;
+            }
+            for (i = 0; i < XDIM*YDIM; i++){
+                reference_if >> reference_cal_master_FGS2[i];
+            }
+            reference_if.close();  
+        }
+        else {
+            std::cerr << "Can't find input file " << reference_data_fgs2 << std::endl;
+            return -1;
+        }
+
+        hp_buffer1 = cRootElement -> FirstChildElement("hp_map_FGS1") -> GetText();
+        hp_map_fgs1.assign(hp_buffer1);
+	    hp_if.open(hp_buffer1, std::ifstream::in);
+
+	    if (hp_if.is_open()){
+            if(is_empty(hp_if)){
+                std::cerr << "The hot pixel map for FGS1 is empty!" << std::endl;
+                return -1;
+            }
+            for (i = 0; i < XDIM*YDIM; i++){
+                hp_if >> hot_pixel_master_FGS1[i];
+            }
+            hp_if.close();
+
+        }
+	    else {
+            std::cerr << "Can't find input file " << hp_buffer1 << std::endl;
+            return -1;
+        }
+
+        hp_buffer2 = cRootElement -> FirstChildElement("hp_map_FGS2") -> GetText();
+        hp_map_fgs2.assign(hp_buffer2);
+	    hp_if.open(hp_buffer2, std::ifstream::in);
+
+	    if (hp_if.is_open()){
+            if(is_empty(hp_if)){
+                std::cerr << "The hot pixel map for FGS2 is empty!" << std::endl;
+                return -1;
+            }
+            for (i = 0; i < XDIM*YDIM; i++){
+                hp_if >> hot_pixel_master_FGS2[i];
+            }
+            hp_if.close();
+
+        }
+	    else {
+            std::cerr << "Can't find input file " << hp_buffer2 << std::endl;
+            return -1;
+        }
+
+        cRootElement -> FirstChildElement("reset_noise") -> QueryDoubleText(&reset_noise);
+        cRootElement -> FirstChildElement("circular_fov_radius") -> QueryDoubleText(&fov_radius);
+
+        if(fov_radius > 0){
+            generate_fov_mask(fov_mask_FGS1, fov_radius, ps_fgs1/1000, XDIM, YDIM);
+            generate_fov_mask(fov_mask_FGS2, fov_radius, ps_fgs2/1000, XDIM, YDIM);
+        }
+        else{
+            for(i = 0; i < XDIM*YDIM; i++){
+                fov_mask_FGS1[i] = 1;
+                fov_mask_FGS2[i] = 1;
+            }
+        }
 
         tinyxml2::XMLElement *cTracking = cRootElement -> FirstChildElement("Tracking");
         cTracking -> FirstChildElement("iterations") -> QueryUnsignedText(&iter_track);
@@ -205,11 +327,19 @@ int FGS :: reset_fgs(const char* config_file, int hard_reset)
         search_star_id(targets, catalogue_buffer);
 
         cRootElement -> FirstChildElement("use_saved_files") -> QueryUnsignedText(&use_save);
-        hp_buffer = cRootElement -> FirstChildElement("hp_map") -> GetText();
         flat_buffer = cRootElement -> FirstChildElement("flat") -> GetText();
         smear_buffer = cRootElement -> FirstChildElement("smear") -> GetText();
+        ramp_buffer = cRootElement -> FirstChildElement("ramp") -> GetText();
+        img_buffer = cRootElement -> FirstChildElement("previous_image") -> GetText();
         cRootElement -> FirstChildElement("smear_x") -> QueryDoubleText(&x_smear_0);
         cRootElement -> FirstChildElement("smear_y") -> QueryDoubleText(&y_smear_0);
+        cRootElement -> FirstChildElement("centroid_x") -> QueryFloatText(&centroid.x);
+        cRootElement -> FirstChildElement("centroid_y") -> QueryFloatText(&centroid.y);
+        cRootElement -> FirstChildElement("centroid_time") -> QueryFloatText(&centroid.time);
+        cRootElement -> FirstChildElement("centroid_valid") -> QueryIntText(&centroid.validity.flag);
+        cRootElement -> FirstChildElement("centroid_index") -> QueryFloatText(&centroid.validity.index);
+        cRootElement -> FirstChildElement("centroid_mag") -> QueryUnsignedText(&centroid.validity.magnitude);
+        cRootElement -> FirstChildElement("centroid_send") -> QueryUnsignedText(&send_cent);
         /*reset all image buffers*/
         if(hard_reset){
             reset_arrays(1);
@@ -217,19 +347,9 @@ int FGS :: reset_fgs(const char* config_file, int hard_reset)
         else{
             transition_end = 0.0;
         }
-        hp_upper = 100000.;
-        hp_lower = 0.; 
-
-        centroid.x = 0.;
-        centroid.y = 0.;
-        centroid.time = 0.;
-        centroid.validity.flag = 0.;
-        centroid.validity.index = 100;
-        centroid.validity.magnitude = 0;
-
+            
         error.xErr = 0.;
         error.yErr = 0.;
-
        
         /*Set starting conditions for dim, qe, delay and exposure*/
         if(channel == 1){
@@ -278,31 +398,29 @@ int FGS :: reset_fgs(const char* config_file, int hard_reset)
             dim_x = track_dim;
             dim_y = track_dim;
         }
-
+        if(channel == 1){
+            get_hp(hot_pixels, hot_pixel_master_FGS1, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+            get_calibration(reference_cal, reference_cal_master_FGS1, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+        }
+        else{ 
+            get_hp(hot_pixels, hot_pixel_master_FGS2, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+            get_calibration(reference_cal, reference_cal_master_FGS2, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+        }
         /*Create static attributes of the image*/
         if(hard_reset == 0){
             return 0;
         }
         else if(use_save == 0){
       	    generate_flat(flat, flat_mean, flat_sigma, XDIM, YDIM);
-      	    generate_hotpixels(hot_pixels, hp_amount, hp_lower, hp_upper, XDIM, YDIM);
+            reset_ramp();
         }
         else{
-	        hp_if.open(hp_buffer, std::ifstream::in);
-	        if (hp_if.is_open()){
-                for (i = 0; i < XDIM*YDIM; i++){
-                    hp_if >> hot_pixels[i];
-                }
-	        }
-	        else {
-                std::cerr << "Can't find input file " << hp_buffer << std::endl;
-                return -1;
-            }
-
-            hp_if.close();
-
 	        flat_if.open(flat_buffer, std::ifstream::in);
 	        if (flat_if.is_open()){
+                if(is_empty(flat_if)){
+                    std::cerr << "The flat file is empty!" << std::endl;
+                    return -1;
+                }
                 for (i = 0; i < XDIM*YDIM; i++){
                     flat_if >> flat[i];
                 }
@@ -316,6 +434,10 @@ int FGS :: reset_fgs(const char* config_file, int hard_reset)
         
 	        smear_if.open(smear_buffer, std::ifstream::in);
 	        if (smear_if.is_open()){
+                if(is_empty(smear_if)){
+                    std::cerr << "The smear file is empty!" << std::endl;
+                    return -1;
+                }
                 for (i = 0; i < XDIM_KERNEL*5*YDIM_KERNEL*5; i++){
                     smear_if >> smear_kernel_os[i];
                 }
@@ -326,6 +448,40 @@ int FGS :: reset_fgs(const char* config_file, int hard_reset)
             }
 
             smear_if.close();
+
+	        ramp_if.open(ramp_buffer, std::ifstream::in);
+	        if (ramp_if.is_open()){
+                if(is_empty(ramp_if)){
+                    std::cerr << "The ramp file is empty!" << std::endl;
+                    return -1;
+                }
+                for (i = 0; i < XDIM*YDIM; i++){
+                    ramp_if >> image_ramp[i];
+                }
+	        }
+	        else {
+                std::cerr << "Can't find input file " << ramp_buffer << std::endl;
+                return -1;
+            }
+
+            ramp_if.close();
+
+	        img_if.open(img_buffer, std::ifstream::in);
+	        if (img_if.is_open()){
+                if(is_empty(img_if)){
+                    std::cerr << "The previous image file is empty!" << std::endl;
+                    return -1;
+                }
+                for (i = 0; i < XDIM*YDIM; i++){
+                    img_if >> previous_image[i];
+                }
+	        }
+	        else {
+                std::cerr << "Can't find input file " << img_buffer << std::endl;
+                return -1;
+            }
+
+            img_if.close();
         }
     }
     else{
@@ -393,14 +549,15 @@ int FGS :: generate_smear(double (&angular_rate)[3], double dt)
 int FGS :: generate_image()
 {
     unsigned int i;
- 
+    sat_counter = 0;
+
     shift_smear(smear_kernel_os, x_smear_0*5, y_smear_0*5, XDIM_KERNEL*5);
  
     downsample_image(smear_kernel_os, smear_kernel, XDIM_KERNEL*5, YDIM_KERNEL*5, 5);
     
-    generate_bias(bias, bias_sample, bias_value, 128, dim_x, dim_y);
+    generate_bias(bias, bias_sample, 0, 128, dim_x, dim_y);
 
-    generate_dark(dark, dark_mean, exposure_time, hot_pixels, dim_x, dim_y);
+    generate_dark(dark, dark_mean, exposure_time, dim_x, dim_y);
 
     generate_background(bkgr, bkgr_noise, qe, exposure_time, dim_x, dim_y);
 
@@ -422,13 +579,35 @@ int FGS :: generate_image()
     {   
         starimage[i] = starimage[i] + bkgr[i]; 
     }
-    
     generate_shot(starimage, shot, dim_x, dim_y);
 
+    if(strcmp(mode, MODE_ACQU) == 0){
+       trf_x = 0;
+       trf_y = 0;
+    }
+
+    if(channel == 1){
+        apply_fov_mask(shot, fov_mask_FGS1, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+    }
+    else if(channel == 2){
+        apply_fov_mask(shot, fov_mask_FGS2, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+    }
+
     for(i = 0; i < dim_x*dim_y; i++){
-        image[i] = (unsigned int) (shot[i] * flat[i] + bias[i] + dark[i]);
-        if (image[i] > full_well_cap)
-            image[i] = full_well_cap;
+        image_ramp[i] = image_ramp[i] + (unsigned int) ((shot[i] * flat[i] * hot_pixels[i] + dark[i]) * gain);
+        tmp_image[i] = image_ramp[i] + bias[i] * gain;
+        if (tmp_image[i] > 65535){
+            tmp_image[i] = 65535;
+            sat_counter = sat_counter + 1;
+        }
+        if(previous_image[i] > tmp_image[i]){
+            image[i] = 0;
+            previous_image[i] = tmp_image[i];
+        }
+        else{
+            image[i] = tmp_image[i] - previous_image[i];
+            previous_image[i] = tmp_image[i];
+        }
     }
     return 0;
 }
@@ -451,6 +630,8 @@ int FGS :: perform_algorithm()
     output.x = 0.;
     output.y = 0.;
 
+    hotPixelCorrection(image, reference_cal, dim_x, dim_y, 0xFFFF);
+
     if(strcmp(mode, MODE_ACQU) == 0){
         if (threshold_acq == 1){
             min = GetMin(image, dim_x*dim_y);
@@ -463,10 +644,10 @@ int FGS :: perform_algorithm()
         }
         if (med_acq == 1){
             MedFilter3x3(image, dim_x, dim_y, med_threshold, filtered_image);
-            output = SourceDetection(filtered_image, dim_x, dim_y, channel, max_targets, target_signal*exposure_time, tolerance_acq, extension_sigma, iter_acq, fwhm_x, fwhm_y, target_signal*(lower_sig_lim/100)*exposure_time, val_sigma*(lower_sig_lim/100)*exposure_time, pearson_limit);
+            output = SourceDetection(filtered_image, dim_x, dim_y, channel, max_targets, target_signal*exposure_time, tolerance_acq, extension_sigma, iter_acq, fwhm_x, fwhm_y, target_signal*(lower_sig_lim/100)*exposure_time, pearson_limit);
         }
         else{
-            output = SourceDetection(image, dim_x, dim_y, channel, max_targets, target_signal*exposure_time, tolerance_acq, extension_sigma, iter_acq, fwhm_x, fwhm_y, target_signal*(lower_sig_lim/100)*exposure_time, val_sigma*(lower_sig_lim/100)*exposure_time, pearson_limit);
+            output = SourceDetection(image, dim_x, dim_y, channel, max_targets, target_signal*exposure_time, tolerance_acq, extension_sigma, iter_acq, fwhm_x, fwhm_y, target_signal*(lower_sig_lim/100)*exposure_time, pearson_limit);
         }
     }
     else if (strcmp(mode, MODE_TRAC) == 0){
@@ -479,12 +660,13 @@ int FGS :: perform_algorithm()
         else if(threshold_track == 2){
             std_threshold(image, dim_x, dim_y);
         }  
+
         if(med_track == 1){
             MedFilter3x3(image, dim_x, dim_y, med_threshold, filtered_image);
-            output = ArielCoG(filtered_image, dim_x, dim_y, iter_track, fwhm_x, fwhm_y, channel, target_signal*(lower_sig_lim/100)*exposure_time, val_sigma*(lower_sig_lim/100)*exposure_time, pearson_limit, tolerance_track, target_signal*exposure_time);
+            output = ArielCoG(filtered_image, dim_x, dim_y, iter_track, fwhm_x, fwhm_y, channel, target_signal*(lower_sig_lim/100)*exposure_time, pearson_limit, tolerance_track, target_signal*exposure_time);
         }
         else{
-            output = ArielCoG(image, dim_x, dim_y, iter_track, fwhm_x, fwhm_y, channel, target_signal*(lower_sig_lim/100)*exposure_time, val_sigma*(lower_sig_lim/100)*exposure_time, pearson_limit, tolerance_track, target_signal*exposure_time);
+            output = ArielCoG(image, dim_x, dim_y, iter_track, fwhm_x, fwhm_y, channel, target_signal*(lower_sig_lim/100)*exposure_time, pearson_limit, tolerance_track, target_signal*exposure_time);
         }
     }
 
@@ -536,6 +718,16 @@ int FGS :: set_channel(unsigned int new_channel)
             dim_y = acq_dim_fgs2;
         }
     }
+    reset_ramp();
+    calculate_ramp_length();
+    if(channel == 1){
+        get_hp(hot_pixels, hot_pixel_master_FGS1, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+        get_calibration(reference_cal, reference_cal_master_FGS1, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+    }
+    else{
+        get_hp(hot_pixels, hot_pixel_master_FGS2, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+        get_calibration(reference_cal, reference_cal_master_FGS2, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+    }
     return 0;
 }
 
@@ -570,6 +762,16 @@ int FGS :: set_mode(const char* new_mode)
         dim_x = track_dim;
         dim_y = track_dim;
     }
+    reset_ramp();
+    calculate_ramp_length();
+    if(channel == 1){
+        get_hp(hot_pixels, hot_pixel_master_FGS1, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+        get_calibration(reference_cal, reference_cal_master_FGS1, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+    }
+    else{
+        get_hp(hot_pixels, hot_pixel_master_FGS2, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+        get_calibration(reference_cal, reference_cal_master_FGS2, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+    }
     return 0;
 }
 
@@ -580,7 +782,7 @@ int FGS :: set_mode(const char* new_mode)
 int FGS :: reset_arrays(int reset_all)
 {
     unsigned int i;
-    random_normal_trm(bias_sample, 0, read_noise, 128);
+    //random_normal_trm(bias_sample, 0, read_noise, 128);
     //#pragma omp parallel for
     for(i = 0; i < XDIM_KERNEL*5*YDIM_KERNEL*5; i++){
         smear_kernel_os[i] = 0.;
@@ -597,6 +799,7 @@ int FGS :: reset_arrays(int reset_all)
             if(reset_all != 0){
                 flat[i] = 0.;
                 hot_pixels[i] = 0.;
+                reference_cal[i] = 0;
             }
         }
         if(i < XDIM_KERNEL*YDIM_KERNEL){
@@ -606,9 +809,10 @@ int FGS :: reset_arrays(int reset_all)
     return 0;
 }
 
-char hp_save[128];
 char flat_save[128];
 char smear_save[128];
+char ramp_save[128];
+char img_save[128];
 
 /**
  * @brief Creates an xml file based on the current HFS state
@@ -624,7 +828,7 @@ char smear_save[128];
 int FGS :: generate_config(const char* output_file)
 {
 
-    std::ofstream hp_of, flat_of, smear_of;
+    std::ofstream flat_of, smear_of, ramp_of, img_of;
     unsigned int i;
 
      
@@ -633,6 +837,10 @@ int FGS :: generate_config(const char* output_file)
     tinyxml2::XMLElement* cRoot = config.NewElement("HFS_MetaInfo");
     config.InsertFirstChild(cRoot);
 
+    tinyxml2::XMLElement* cTime = config.NewElement("simulation_time");
+    cTime->SetText(sim_time);
+    cRoot->InsertEndChild(cTime);
+
     tinyxml2::XMLElement* cTimeStep = config.NewElement("timestep");
     cTimeStep->SetText(timestep);
     cRoot->InsertEndChild(cTimeStep);
@@ -669,9 +877,9 @@ int FGS :: generate_config(const char* output_file)
     cDark->SetText(dark_mean);
     cRoot->InsertEndChild(cDark);
 
-    tinyxml2::XMLElement* cHPAmount = config.NewElement("hotpixel_amount");
-    cHPAmount->SetText(hp_amount);
-    cRoot->InsertEndChild(cHPAmount);
+    tinyxml2::XMLElement* cGain = config.NewElement("gain");
+    cGain->SetText(gain);
+    cRoot->InsertEndChild(cGain);
 
     tinyxml2::XMLElement* cFWCap = config.NewElement("full_well_capacity");
     cFWCap->SetText(full_well_cap);
@@ -769,9 +977,13 @@ int FGS :: generate_config(const char* output_file)
     cFWHM2Y->SetText(fwhm2_y);
     cRoot->InsertEndChild(cFWHM2Y);
 
-    tinyxml2::XMLElement* cTransDelay = config.NewElement("transition_delay");
-    cTransDelay->SetText(transition_delay);
-    cRoot->InsertEndChild(cTransDelay);
+    tinyxml2::XMLElement* cTransDelayChan = config.NewElement("transition_delay_channel");
+    cTransDelayChan->SetText(transition_delay_channel);
+    cRoot->InsertEndChild(cTransDelayChan);
+
+    tinyxml2::XMLElement* cTransDelayMode = config.NewElement("transition_delay_mode");
+    cTransDelayMode->SetText(transition_delay_mode);
+    cRoot->InsertEndChild(cTransDelayMode);
 
     tinyxml2::XMLElement* cTransEnd = config.NewElement("transition_end");
     cTransEnd->SetText(transition_end);
@@ -785,10 +997,6 @@ int FGS :: generate_config(const char* output_file)
     cLowSigLim->SetText(lower_sig_lim);
     cRoot->InsertEndChild(cLowSigLim);
 
-    tinyxml2::XMLElement* cValSig = config.NewElement("validation_sigma");
-    cValSig->SetText(val_sigma);
-    cRoot->InsertEndChild(cValSig);
-
     tinyxml2::XMLElement* cPearson = config.NewElement("validation_pearson_limit");
     cPearson->SetText(pearson_limit);
     cRoot->InsertEndChild(cPearson);
@@ -797,6 +1005,46 @@ int FGS :: generate_config(const char* output_file)
     cFailed->SetText(failed);
     cRoot->InsertEndChild(cFailed);
 
+    tinyxml2::XMLElement* cRampLen = config.NewElement("ramp_length");
+    cRampLen->SetText(ramp_length);
+    cRoot->InsertEndChild(cRampLen);
+
+    tinyxml2::XMLElement* cRampCnt = config.NewElement("ramp_counter");
+    cRampCnt->SetText(ramp_counter);
+    cRoot->InsertEndChild(cRampCnt);
+
+    tinyxml2::XMLElement* cRampMax = config.NewElement("max_ramp");
+    cRampMax->SetText(max_ramp);
+    cRoot->InsertEndChild(cRampMax);
+
+    tinyxml2::XMLElement* cSatLim = config.NewElement("saturation_limit");
+    cSatLim->SetText(sat_limit);
+    cRoot->InsertEndChild(cSatLim);
+
+    tinyxml2::XMLElement* cResetCal1 = config.NewElement("reset_calibration_FGS1");
+    cResetCal1->SetText(reference_data_fgs1.c_str());
+    cRoot->InsertEndChild(cResetCal1);
+
+    tinyxml2::XMLElement* cResetCal2 = config.NewElement("reset_calibration_FGS2");
+    cResetCal2->SetText(reference_data_fgs2.c_str());
+    cRoot->InsertEndChild(cResetCal2);
+
+    tinyxml2::XMLElement* cHpMap1 = config.NewElement("hp_map_FGS1");
+    cHpMap1->SetText(hp_map_fgs1.c_str());
+    cRoot->InsertEndChild(cHpMap1);
+
+    tinyxml2::XMLElement* cHpMap2 = config.NewElement("hp_map_FGS2");
+    cHpMap2->SetText(hp_map_fgs2.c_str());
+    cRoot->InsertEndChild(cHpMap2);
+
+    tinyxml2::XMLElement* cResetNoise = config.NewElement("reset_noise");
+    cResetNoise->SetText(reset_noise);
+    cRoot->InsertEndChild(cResetNoise);
+
+    tinyxml2::XMLElement* cCircularFov = config.NewElement("circular_fov_radius");
+    cCircularFov->SetText(fov_radius);
+    cRoot->InsertEndChild(cCircularFov);
+
     tinyxml2::XMLElement* cTracking = config.NewElement("Tracking");
     cRoot->InsertEndChild(cTracking);
 
@@ -878,16 +1126,14 @@ int FGS :: generate_config(const char* output_file)
     tinyxml2::XMLElement* cSave = config.NewElement("use_saved_files");
     cSave->SetText(1);
     cRoot->InsertEndChild(cSave);
-
-    snprintf(hp_save, sizeof(hp_save), "./HP_map_%.0f.txt", sim_time);
-    
+ 
     snprintf(flat_save, sizeof(flat_save), "./Flat_%.0f.txt", sim_time); 
     
     snprintf(smear_save, sizeof(smear_save), "./Smear_%.0f.txt", sim_time);
 
-    tinyxml2::XMLElement* cHpMap = config.NewElement("hp_map");
-    cHpMap->SetText(hp_save);
-    cRoot->InsertEndChild(cHpMap);
+    snprintf(ramp_save, sizeof(ramp_save), "./Ramp_input_%.0f.txt", sim_time);
+
+    snprintf(img_save, sizeof(img_save), "./Previous_image_%.0f.txt", sim_time);
 
     tinyxml2::XMLElement* cFlat = config.NewElement("flat");
     cFlat->SetText(flat_save);
@@ -897,6 +1143,14 @@ int FGS :: generate_config(const char* output_file)
     cSmear->SetText(smear_save);
     cRoot->InsertEndChild(cSmear);
 
+    tinyxml2::XMLElement* cRamp = config.NewElement("ramp");
+    cRamp->SetText(ramp_save);
+    cRoot->InsertEndChild(cRamp);
+
+    tinyxml2::XMLElement* cImage = config.NewElement("previous_image");
+    cImage->SetText(img_save);
+    cRoot->InsertEndChild(cImage);
+
     tinyxml2::XMLElement* cSmearX = config.NewElement("smear_x");
     cSmearX->SetText(x_smear_0);
     cRoot->InsertEndChild(cSmearX);
@@ -905,28 +1159,62 @@ int FGS :: generate_config(const char* output_file)
     cSmearY->SetText(y_smear_0);
     cRoot->InsertEndChild(cSmearY);
 
+    tinyxml2::XMLElement* cCenX = config.NewElement("centroid_x");
+    cCenX->SetText(centroid.x);
+    cRoot->InsertEndChild(cCenX);
+
+    tinyxml2::XMLElement* cCenY = config.NewElement("centroid_y");
+    cCenY->SetText(centroid.y);
+    cRoot->InsertEndChild(cCenY);
+
+    tinyxml2::XMLElement* cCenT = config.NewElement("centroid_time");
+    cCenT->SetText(centroid.time);
+    cRoot->InsertEndChild(cCenT);
+
+    tinyxml2::XMLElement* cCenVal = config.NewElement("centroid_valid");
+    cCenVal->SetText(centroid.validity.flag);
+    cRoot->InsertEndChild(cCenVal);
+
+    tinyxml2::XMLElement* cCenInd = config.NewElement("centroid_index");
+    cCenInd->SetText(centroid.validity.index);
+    cRoot->InsertEndChild(cCenInd);
+
+    tinyxml2::XMLElement* cCenMag = config.NewElement("centroid_mag");
+    cCenMag->SetText(centroid.validity.magnitude);
+    cRoot->InsertEndChild(cCenMag);
+
+    tinyxml2::XMLElement* cCenSen = config.NewElement("centroid_send");
+    cCenSen->SetText(send_cent);
+    cRoot->InsertEndChild(cCenSen);
+
     config.SaveFile(output_file);
     /*Write output files*/
-
-    hp_of.open(hp_save, std::ofstream::out | std::ofstream::app);
-    for (i = 0; i < XDIM*YDIM; i++){
-        hp_of << hot_pixels[i] << "\n";
-    }
-    hp_of.close();
     
-    flat_of.open(flat_save, std::ofstream::out | std::ofstream::app);
+    flat_of.open(flat_save, std::ofstream::out);
     for (i = 0; i < XDIM*YDIM; i++){
         flat_of << std::setprecision(std::numeric_limits<double>::max_digits10) << flat[i] << "\n";
 
     }
     flat_of.close();
  
-    smear_of.open(smear_save, std::ofstream::out | std::ofstream::app);
+    smear_of.open(smear_save, std::ofstream::out);
     for (i = 0; i < XDIM_KERNEL*5*YDIM_KERNEL*5; i++){
         smear_of << std::setprecision(std::numeric_limits<double>::max_digits10) << smear_kernel_os[i] << "\n";
     }
     smear_of.close();
 
+    ramp_of.open(ramp_save, std::ofstream::out);
+    for (i = 0; i < XDIM*YDIM; i++){
+        ramp_of << std::setprecision(std::numeric_limits<double>::max_digits10) << image_ramp[i] << "\n";
+    }
+    ramp_of.close();
+
+    img_of.open(img_save, std::ofstream::out);
+    for (i = 0; i < XDIM*YDIM; i++){
+        img_of << std::setprecision(std::numeric_limits<double>::max_digits10) << previous_image[i] << "\n";
+    }
+    img_of.close();
+
     return 0;
 }
 
@@ -945,12 +1233,10 @@ struct hfs_state FGS :: get_hfs_state()
     output.read_noise = read_noise;
     output.dark_mean = dark_mean;
     output.bkgr_noise = bkgr_noise;
+    output.gain = gain;
     output.exposure_time = exposure_time;
     output.sim_time = sim_time;
     output.timestep = timestep;
-    output.hp_amount = hp_amount;
-    output.hp_upper = hp_upper;
-    output.hp_lower = hp_lower;
     output.flat_mean = flat_mean;
     output.flat_sigma = flat_sigma;
     output.plate_scale = plate_scale;
@@ -972,7 +1258,8 @@ struct hfs_state FGS :: get_hfs_state()
     output.jitter_error = jitter_error;
     output.delay_track = delay_track;
     output.delay_acq = delay_acq;
-    output.transition_delay = transition_delay;
+    output.transition_delay_channel = transition_delay_channel;
+    output.transition_delay_mode = transition_delay_mode;
     output.transition_end = transition_end;
     output.exp_track = exp_track;
     output.exp_acq = exp_acq;
@@ -988,14 +1275,23 @@ struct hfs_state FGS :: get_hfs_state()
     output.threshold_acq = threshold_acq;
     output.tolerance_track = tolerance_track;
     output.tolerance_acq = tolerance_acq;
-    output.mode = mode;
+    if(strcmp(mode, MODE_TRAC) == 0){
+        output.mode = 2;
+    }
+    else if(strcmp(mode, MODE_ACQU) == 0){
+        output.mode = 1;
+    }
+    else{
+        output.mode = 0;
+    }
     output.targets = targets;
+    output.target_pos_x = trf_x;
+    output.target_pos_y = trf_y;
     output.target_signal = target_signal;
     output.full_well_cap = full_well_cap;
     output.med_threshold = med_threshold;
     output.sync_ctr = sync_ctr;
     output.send_cent = send_cent;
-    output.val_sigma = val_sigma;
     output.track_dim = track_dim;
     output.acq_dim_fgs1 = acq_dim_fgs1;
     output.acq_dim_fgs2 = acq_dim_fgs2;
@@ -1008,6 +1304,10 @@ struct hfs_state FGS :: get_hfs_state()
     output.fwhm_y = fwhm_y;
     output.max_targets = max_targets;
     output.extension_sigma = extension_sigma;
+    output.ramp_length = ramp_length;
+    output.ramp_counter = ramp_counter;
+    output.sat_limit = sat_limit;
+    output.sat_counter = sat_counter;
     std::copy(offset_FGS1, offset_FGS1+2, output.offset_FGS1);
     std::copy(offset_FGS2, offset_FGS2+2, output.offset_FGS2);
     std::copy(offset, offset+2, output.offset);
@@ -1035,7 +1335,7 @@ struct hfs_state FGS :: get_hfs_state()
  * @return 0 on success, 1 if the result is outside of the FOV
  */
 
-int FGS :: transform_to_detector(double (&vec)[3], double (&velVec)[3], int trf_x, int trf_y, double* output)
+int FGS :: transform_to_detector(double (&vec)[3], double (&velVec)[3], double* output)
 {
     double x_pos, y_pos;
 
@@ -1043,22 +1343,14 @@ int FGS :: transform_to_detector(double (&vec)[3], double (&velVec)[3], int trf_
 
     if(strcmp(mode, MODE_TRAC) == 0){
         /*Check if tracking window is inside of Acq window*/
-        if(channel == 1){
-            if(abs(trf_x) > (acq_dim_fgs1/2 - dim_x/2)){
-                trf_x = acq_dim_fgs1/2 - dim_x/2;
-            }
-            if(abs(trf_y) > (acq_dim_fgs1/2 - dim_y/2)){
-                trf_y = acq_dim_fgs1/2 - dim_y/2;
-            }    
-        }
-        else{
-            if(abs(trf_x) > (acq_dim_fgs2/2 - dim_x/2)){
-                trf_x = acq_dim_fgs2/2 - dim_x/2;
-            }
-            if(abs(trf_y) > (acq_dim_fgs2/2 - dim_y/2)){
-                trf_y = acq_dim_fgs2/2 - dim_y/2;
-            }
+        /*
+        if(abs(trf_x) > (XDIM/2 - dim_x/2)){
+            trf_x = XDIM/2 - dim_x/2;
         }
+        if(abs(trf_y) > (YDIM/2 - dim_y/2)){
+            trf_y = YDIM/2 - dim_y/2;
+        }    
+        */
         x_pos = (vec[0]*(360/TWO_PI)*3600000 + offset[0])/plate_scale - trf_x;
         y_pos = (vec[1]*(360/TWO_PI)*3600000 + offset[1])/plate_scale - trf_y;
     }
@@ -1100,7 +1392,7 @@ double res[2];
  * @return 0 on success
  */
 
-int FGS :: transform_star_coordinates(double (&quaternion)[4], double (&velocity)[3], int trf_x, int trf_y)
+int FGS :: transform_star_coordinates(double (&quaternion)[4], double (&velocity)[3])
 {
     unsigned int i, flag;
     double quaternion_inv[4] = {quaternion[0], -quaternion[1], -quaternion[2], -quaternion[3]};
@@ -1121,7 +1413,7 @@ int FGS :: transform_star_coordinates(double (&quaternion)[4], double (&velocity
         sc_vec[1] = sc_quat[2];
         sc_vec[2] = sc_quat[3];
 
-        flag = transform_to_detector(sc_vec, velocity, trf_x, trf_y, res);
+        flag = transform_to_detector(sc_vec, velocity, res);
 
         if(flag == 0){
             targets -> x[i] = res[0] + dim_x/2;
@@ -1132,7 +1424,6 @@ int FGS :: transform_star_coordinates(double (&quaternion)[4], double (&velocity
             targets -> visible[i] = 0;
         }
     }
-
     return 0;
 }
 
@@ -1146,13 +1437,18 @@ int FGS :: transform_star_coordinates(double (&quaternion)[4], double (&velocity
 
 int FGS :: generate_centroid(hfs_parameters update)
 {
-
-    transform_star_coordinates(update.position_quat, update.scVelocity, update.target_pos_x, update.target_pos_y);
+    rand_seed = rand_seed * 1103515245 + 12345;
+    transform_star_coordinates(update.position_quat, update.scVelocity);
+    srand(rand_seed);
+    random_normal_trm(bias_sample, 0, read_noise, 128);
     generate_image();
+    ramp_counter = ramp_counter + 1;
     perform_algorithm();
     reset_arrays(0);
-    rand_seed = rand_seed * 1103515245 + 12345;
-    srand(rand_seed);
+    if(ramp_counter >= ramp_length){
+        reset_ramp();
+        ramp_counter = 0;
+    }
     x_smear_0 = 0.;
     y_smear_0 = 0.;
     centroid.time = sim_time + delay;
@@ -1164,17 +1460,36 @@ int FGS :: generate_centroid(hfs_parameters update)
     centroid.x = (centroid.x + random_normal_number(0, jitter_error) + ((double) update.add_shift_x)) * update.mult_shift_x;
     centroid.y = (centroid.y + random_normal_number(0, jitter_error) + ((double) update.add_shift_y)) * update.mult_shift_y;
 
-  
-
-    if(centroid.validity.flag == 0){
+    if(centroid.validity.index > 100 && centroid.validity.index < 106){
         centroid.x = 0;
         centroid.y = 0;
     }
+    if(sat_counter >= sat_limit){
+        centroid.validity.flag = 0;
+        centroid.validity.index = 109;
+    }
     send_cent = 1;
 
     return 0;
 }
 
+/**
+ * @brief Function for reseting the array. The previous image used for the CDS is replaced with the reference frame
+ * 
+ * @return 0 on success
+ */
+double tmp[XDIM*YDIM];
+int FGS :: reset_ramp()
+{
+    unsigned int i;
+    random_normal_trm(tmp, bias_value, reset_noise, XDIM*YDIM);
+    for(i = 0; i < XDIM*YDIM; i++){
+        previous_image[i] = reference_cal[i];
+        image_ramp[i] = (unsigned int) tmp[i];
+    }
+
+    return 0;
+}
 
 /**
  * @brief Function for updating the output centroid packet with the latest centroid measurement
@@ -1269,7 +1584,15 @@ char string_buffer[64];
 int FGS :: set_params(hfs_parameters update, outputHfs *outPacket)
 {
     const char* update_mode_char;
- 
+    std::ofstream file;
+
+    if(update.save == 1){
+        snprintf(string_buffer, sizeof(string_buffer), "HFS_config_%.0f.xml", sim_time);
+        generate_config(string_buffer);
+    } 
+    if(update.time < sim_time){
+        return 0;
+    }
     if(update.mode == 1)
         update_mode_char = MODE_ACQU;
     else if(update.mode == 2)
@@ -1278,7 +1601,25 @@ int FGS :: set_params(hfs_parameters update, outputHfs *outPacket)
         update_mode_char = MODE_STBY;
     
     sim_time = update.time;
-    target_signal = update.validation_signal;
+    if(update.validation_signal != target_signal){
+        target_signal = update.validation_signal;
+        calculate_ramp_length();
+        reset_ramp();
+    }
+
+    if(trf_x != update.target_pos_x || trf_y != update.target_pos_y){
+        trf_x = update.target_pos_x;
+        trf_y = update.target_pos_y;
+        if(channel == 1){
+            get_hp(hot_pixels, hot_pixel_master_FGS1, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+            get_calibration(reference_cal, reference_cal_master_FGS1, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+        }
+        else{
+            get_hp(hot_pixels, hot_pixel_master_FGS2, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+            get_calibration(reference_cal, reference_cal_master_FGS2, dim_x, dim_y, XDIM, YDIM, trf_x, trf_y);
+        }
+        reset_ramp();
+    }
 
     if(update.set_error == 111 && failed == 0){
         failed = 1;
@@ -1286,35 +1627,42 @@ int FGS :: set_params(hfs_parameters update, outputHfs *outPacket)
         return 0;
     }
 
-    /*Check if state shall be saved*/
-    if(update.save == 1){
-        snprintf(string_buffer, sizeof(string_buffer), "HFS_config_%.0f.xml", sim_time);
-        generate_config(string_buffer);
-    }
-
     /*Check if centroid shall be generated*/
     if((strcmp(mode, MODE_ACQU) == 0 || strcmp(mode, MODE_TRAC) == 0) && reset_end == 0){
         if((start_exposure + exposure_time - timing_tolerance) < sim_time && transition_end == 0){
             generate_smear(update.ang_rate, timestep);
             generate_centroid(update);
             start_exposure = sim_time;
-
-            if((strcmp(mode, update_mode_char) != 0) || channel != update.channel){
-                transition_end = sim_time + transition_delay;
-            }
         }
         else{
             generate_smear(update.ang_rate, timestep);
+
+        }
+        if(transition_end == 0){
+            if((strcmp(mode, update_mode_char) != 0) && (channel != update.channel)){
+                transition_end = sim_time + transition_delay_mode + transition_delay_channel;
+            }
+            else if(strcmp(mode, update_mode_char) != 0){
+                transition_end = sim_time + transition_delay_mode;
+            }
+            else if(channel != update.channel){
+                transition_end = sim_time + transition_delay_channel;
+            }
         }
     }
     else{
         if(transition_end == 0){
-            if((strcmp(mode, update_mode_char) != 0) || channel != update.channel){
-                transition_end = sim_time + transition_delay;
+            if((strcmp(mode, update_mode_char) != 0) && (channel != update.channel)){
+                transition_end = sim_time + transition_delay_mode + transition_delay_channel;
+            }
+            else if(strcmp(mode, update_mode_char) != 0){
+                transition_end = sim_time + transition_delay_mode;
+            }
+            else if(channel != update.channel){
+                transition_end = sim_time + transition_delay_channel;
             }
         }
     }
-
     /* Check if centroid shall be sent*/
     if((centroid.time - timing_tolerance) < sim_time && send_cent == 1 && reset_end == 0){
         send_centroid(update, outPacket);
@@ -1343,10 +1691,34 @@ int FGS :: set_params(hfs_parameters update, outputHfs *outPacket)
         reset_fgs(input_file, 0);
         failed = 0;
     }
+   
+    return 0;
+}
+/**
+ * @brief utility to calculate the length of the ramp based on the configured star verificaiton signal
+ * 
+ * The function calculates the length of the ramp based on the full well capacity, the target signal
+ * comming from the simulaiton environment, the quantum efficiency and the exposure time.
+ * The factor 0.1 is due to the PSF spreding the signal accross multiple pixels. The value is the brightest
+ * value inside the PSF.
+ * 
+ * @return 0 on success
+ 
+ */
 
+int FGS::calculate_ramp_length()
+{
+    ramp_length = (unsigned int) (full_well_cap * gain / (target_signal * 0.1 * qe * exposure_time));
+    if(ramp_length > max_ramp){
+        ramp_length = max_ramp;
+    }
+    if((ramp_length) == 0){
+        ramp_length = ramp_length + 1;
+    }
     return 0;
 }
 
+
 char line[1024];
 
 /**
@@ -1507,4 +1879,16 @@ void apply_aberration(double* starVec, double *vel)
         starVec[i] = -1.0 * (cosTheta * n_AX[i] + sinTheta * n_AY[i]);
     }
     return;
-}
\ No newline at end of file
+}
+
+/**
+ * @brief Check if files is empty
+ * 
+ * @param pFile: input file stream
+ * @return true if files is empty, false otherwise
+ */
+
+bool is_empty(std::ifstream& pFile)
+{
+    return pFile.peek() == std::ifstream::traits_type::eof();
+}
diff --git a/src/HFS_API.hpp b/src/HFS_API.hpp
index 5fbcdc2f3fc16df5d766c5327d5a2f85f2a1b91d..6793db8ff9bc115ce7e4e51bef3269fed6bf7702 100644
--- a/src/HFS_API.hpp
+++ b/src/HFS_API.hpp
@@ -1,8 +1,8 @@
 /**
 * @file     HFS_API.hpp
 * @author   Gerald Mösenlechner (gerald.moesenlechner@univie.ac.at)
-* @date     January, 2024
-* @version  1.1
+* @date     May, 2024
+* @version  1.2
 *
 * @copyright
 * This program is free software; you can redistribute it and/or modify it
@@ -46,8 +46,8 @@
 #define YDIM 200
 #define XDIM_PSF 40
 #define YDIM_PSF 40
-#define XDIM_KERNEL 50
-#define YDIM_KERNEL 50
+#define XDIM_KERNEL 51
+#define YDIM_KERNEL 51
 #define TWO_PI 6.28318531f
 #define CVEL 299792.458f //km/s
 
@@ -68,12 +68,10 @@ struct hfs_state
 	double read_noise;
     double dark_mean;
     double bkgr_noise;
+    double gain;
     double exposure_time;
     double sim_time;
-    double timestep;
-	double hp_amount;
-    double hp_lower;
-    double hp_upper;
+    double timestep;	
     double flat_mean;
     double flat_sigma;
     double plate_scale;
@@ -95,7 +93,8 @@ struct hfs_state
     double jitter_error;
     double delay_track;
     double delay_acq;
-    double transition_delay;
+    double transition_delay_channel;
+    double transition_delay_mode;
     double transition_end;
     double exp_track;
     double exp_acq;
@@ -116,7 +115,6 @@ struct hfs_state
     unsigned int med_threshold;
     unsigned int sync_ctr;
     unsigned int send_cent;
-    unsigned int val_sigma;
     unsigned int track_dim;
     unsigned int acq_dim_fgs1;
     unsigned int acq_dim_fgs2;
@@ -129,10 +127,16 @@ struct hfs_state
     unsigned int fwhm_y;
     unsigned int max_targets;
     unsigned int extension_sigma;
+    unsigned int ramp_length;
+    unsigned int ramp_counter;
+    unsigned int sat_counter;
+    unsigned int sat_limit;
 	double offset_FGS1[2];
     double offset_FGS2[2];
 	double offset[2];
-	const char* mode;
+	int mode;
+    int target_pos_x;
+    int target_pos_y;
 	std::string psf_fgs1;
 	std::string psf_fgs2;
 	const char* input_file;
@@ -257,12 +261,10 @@ class FGS{
 	double read_noise;
     double dark_mean;
     double bkgr_noise;
+    double gain;
     double exposure_time;
     double sim_time;
-    double timestep;
-	double hp_amount;
-    double hp_lower;
-    double hp_upper;
+    double timestep;	
     double flat_mean;
     double flat_sigma;
     double plate_scale;
@@ -284,13 +286,18 @@ class FGS{
     double jitter_error;
     double delay_track;
     double delay_acq;
-    double transition_delay;
+    double transition_delay_mode;
+    double transition_delay_channel;
     double transition_end;
     double exp_track;
     double exp_acq;
     double reset_duration;
     double reset_end;
     double timing_tolerance;
+    double reset_noise;
+    double fov_radius;
+    int trf_x;
+    int trf_y;
 	unsigned int channel;
     unsigned int iter_track;
     unsigned int iter_acq;
@@ -305,7 +312,6 @@ class FGS{
     unsigned int med_threshold;
     unsigned int sync_ctr;
     unsigned int send_cent;
-    unsigned int val_sigma;
     unsigned int track_dim;
     unsigned int acq_dim_fgs1;
     unsigned int acq_dim_fgs2;
@@ -319,6 +325,11 @@ class FGS{
     unsigned int max_targets;
     unsigned int extension_sigma;
     unsigned int failed;
+    unsigned int ramp_length;
+    unsigned int ramp_counter;
+    unsigned int max_ramp;
+    unsigned int sat_counter;
+    unsigned int sat_limit;
 	double offset_FGS1[2];
     double offset_FGS2[2];
 	double offset[2];
@@ -327,6 +338,10 @@ class FGS{
 	std::string psf_fgs2;
 	const char* input_file;
 	std::string catalogue;
+    std::string reference_data_fgs1;
+    std::string reference_data_fgs2;
+    std::string hp_map_fgs1;
+    std::string hp_map_fgs2;
 	struct stars* targets = new stars();
 	struct coord centroid;
     centroidError error;
@@ -360,15 +375,23 @@ public:
 
 	int reset_arrays(int);
 
-	int transform_to_detector(double (&)[3], double (&)[3],int, int, double *);
+	int transform_to_detector(double (&)[3], double (&)[3], double *);
 
-	int transform_star_coordinates(double (&)[4], double(&)[3], int, int);
+	int transform_star_coordinates(double (&)[4], double(&)[3]);
 
 	int generate_centroid(hfs_parameters);
 
 	int send_centroid(hfs_parameters, outputHfs *);
 
     int calc_error(double, double);
+
+    int reset_ramp();
+
+    int calculate_ramp_length();
+
+    ~FGS(){
+        delete targets;
+    };
 };
 
 extern FGS *fgsSim;
@@ -378,4 +401,6 @@ extern void createFGS(const char*);
 extern void deleteFGS();
 
 extern void updateFGS(hfs_parameters*, outputHfs*);
-#endif
+
+bool is_empty(std::ifstream&);
+#endif
\ No newline at end of file
diff --git a/src/HFS_config.xml b/src/HFS_config.xml
index 971893fb94e4be3d4ff9ca24a7b1e5dcdcbe47dc..6fc883e653d4360bd38dd73c0f7e87ec869b7fec 100644
--- a/src/HFS_config.xml
+++ b/src/HFS_config.xml
@@ -1,8 +1,9 @@
 <HFS_MetaInfo>
+  <simulation_time>0.0</simulation_time>
 
   <!--  Global timestep of the matlab simulink model.
-        Default: 0.015625 (64Hz)-->
-  <timestep>0.015625</timestep>
+        Default: 0.0125 (680Hz)-->
+  <timestep>0.0125</timestep>
 
   <!-- 	Random seed used in the noise generation -->
   <random_seed>135412</random_seed>
@@ -33,13 +34,11 @@
   <!--  The mean dark current in a pixel in electrons per
         second. Deefault: 1 -->
   <dark_average>1</dark_average>
-
-  <!--  The fraction of hotpixels of all sensor pixels. These
-        are randomly selected during the simulation. Al-
-        lowed value range: 0.0-1.0. -->
-  <hotpixel_amount>0</hotpixel_amount>
-
-  <!--  The full well capacity of the detector in ADU  -->
+  
+  <!--  The gain to the detectors. Default: 0.655 -->
+  <gain>0.655</gain>
+  
+  <!--  The full well capacity of the detector in e-. Default: 100000  -->
   <full_well_capacity>100000</full_well_capacity>
 
   <!--  The difference threshold in ADU at which the median filter will replace
@@ -50,8 +49,8 @@
         jitter during the integration period in mas. -->
   <jitter_error_std>5.0</jitter_error_std>
 
-  <!--  Duration of the simulated FCU reset in s -->
-  <reset_duration>0.5</reset_duration>
+  <!--  Duration of the simulated FCU reset in s, No value available, Default 5s -->
+  <reset_duration>5</reset_duration>
 
   <!--  State variable denoting end of ongoing reset, Default: 0-->
   <reset_end>0</reset_end>
@@ -67,11 +66,11 @@
 
   <FGS2_Psf>./FGS2_270nm.txt</FGS2_Psf>
 
-  <!-- Plate scale of FGS1 in mas/px, Default: 175 -->
-  <FGS1_PS>175.0</FGS1_PS>
+  <!-- Plate scale of FGS1 in mas/px, Default: 173 -->
+  <FGS1_PS>173.0</FGS1_PS>
 
   <!-- Plate scale of FGS2 in mas/px, Default: 136 -->
-  <FGS2_PS>137.0</FGS2_PS>
+  <FGS2_PS>136.0</FGS2_PS>
   
   <!-- Focal length of FGS1 in m, Default: 21.21 -->
   <FGS1_FL>21.21</FGS1_FL>
@@ -110,11 +109,13 @@
   <FWHM_FGS2_x>6</FWHM_FGS2_x>
   <FWHM_FGS2_y>6</FWHM_FGS2_y>
 
-  <!-- Time delay causes by the mode switch in s. -->
-  <transition_delay>0.5</transition_delay>
+  <!-- Time delay causes by the channel switch in s. Worst case unknown, assumed 1 s -->
+  <transition_delay_channel>1</transition_delay_channel>
 
-  <!--  End time of an ongoing transition. Used for State saving. 0 denotes no transition. Default: 0 
-  -->
+  <!-- Time delay causes by the mode switch in s. Worst Case: 2s -->
+  <transition_delay_mode>2</transition_delay_mode>
+
+  <!--  End time of an ongoing transition. Used for State saving. 0 denotes no transition. Default: 0 -->
   <transition_end>0</transition_end>
 
   <!--  Target signal in ADU per second used for validation -->
@@ -123,9 +124,6 @@
   <!--  lower signal limit ("There is a signal" check) for centroid validation in % of target signal. defalt 1%-->
   <lower_signal_limit>1</lower_signal_limit>
 
-  <!--  Sigma threshold in ADU used in the validation procedure -->
-  <validation_sigma>10</validation_sigma>
-
   <!--  Threshold for the Pearson correlation used as the validity index.
         Index can range from -1 to 1. A value of 0.5 to 0.6 serves as a
         decent cutoff for invalid measurements-->
@@ -134,6 +132,38 @@
   <!-- default failed status of the HFS -->
   <failed_status>0</failed_status>
 
+  <!--  Ramp length in samples. Default: 100 -->
+  <ramp_length>100</ramp_length>
+
+  <!-- current position in the ramp. Default: 0 -->
+  <ramp_counter>0</ramp_counter>
+  
+  <!-- Maximum ramp length. Default: 150 -->
+  <max_ramp>150</max_ramp>
+
+  <!-- Limit for staturated pixels in an image. At this limit, the centroid will be set invalid. 
+  Used for the Snowball detection. Default: 5 -->
+  <saturation_limit>5</saturation_limit>
+  
+  <!-- Calibration and hot pixel map that replaces the first sample of a ramp for FGS1 -->
+  <reset_calibration_FGS1>./Calibration_FGS1.txt</reset_calibration_FGS1>
+
+  <!-- Calibration and hot pixel map that replaces the first sample of a ramp for FGS2 -->
+  <reset_calibration_FGS2>./Calibration_FGS2.txt</reset_calibration_FGS2>
+  
+  <!--  Name of the Hot and Dead Pixel input map to be used by the HFS for FGS2 -->
+  <hp_map_FGS1>./hotPixels_FGS1.txt</hp_map_FGS1>
+
+  <!--  Name of the Hot and Dead Pixel input map to be used by the HFS for FGS2 --> 
+  <hp_map_FGS2>./hotPixels_FGS2.txt</hp_map_FGS2>
+
+  <!-- Noise of the reset anomaly, Unknown, Default 20 e- -->
+  <reset_noise>20</reset_noise>
+
+  <!--  The radius of the circular field of view in arcsec. set to zero for full FoV. 
+   Default: 11 arcsec -->
+  <circular_fov_radius>11</circular_fov_radius>
+
   <!--  Configuration of the Tracking procedure -->
   <Tracking>
     <!--  Iterations of the algorithm. Standard is 5 -->
@@ -143,7 +173,7 @@
     <!--  Toogle thresholding -->
     <thresholding>2</thresholding>
     <!--  Delay of the centroid packet in seconds.
-          Note: must be lower than the integration time (0.125 s) -->
+          Note: must be lower than the integration time (0.125 s), worst case: 20ms -->
     <delay>0.02</delay>
     <!-- Exposure time for mode Tracking in s, default: 0.1 -->
     <exposure_time>0.1</exposure_time>
@@ -158,24 +188,24 @@
     <!--  Iterations of the algorithm. Standard is 3 -->
     <iterations>3</iterations>
     <!--  Toogle optional median filter -->
-    <median_filter>0</median_filter>
+    <median_filter>1</median_filter>
     <!--  Toogle thresholding -->
     <thresholding>2</thresholding>
     <!--  Delay of the centroid packet in seconds.
-          Note: must be lower than the integration time (0.5 s) -->
-    <delay>0.1</delay>
+          Note: must be lower than the integration time (0.5 s), worst case 150ms -->
+    <delay>0.15</delay>
     <!-- Exposure time for mode Acquisition in s, default: 0.5 -->
     <exposure_time>0.5</exposure_time>
     <!--  Brightness tolerance for target identification default is 30% -->
     <tolerance>30</tolerance>
-    <!-- Dimensiton of the Acquisition window for FGS1, default: 128px -->
-    <FGS1_dim>128</FGS1_dim>
-    <!-- Dimensiton of the Acquisition window for FGS2, default: 161px -->
-    <FGS2_dim>161</FGS2_dim>
+    <!-- Dimensiton of the Acquisition window for FGS1, default: 177px -->
+    <FGS1_dim>177</FGS1_dim>
+    <!-- Dimensiton of the Acquisition window for FGS2, default: 177px -->
+    <FGS2_dim>177</FGS2_dim>
     <!-- Limit of brightest sources to be considered in the source extraction. Default: 25-->
     <target_limit>25</target_limit>
-    <!-- Signal Sigma Limit for Source extent check. Default: 1000. Possible cause for 107 error if set too high-->
-    <extension_sigma>1000</extension_sigma>
+    <!-- Signal Sigma Limit for Source extent check. Default: 500. Possible cause for 107 error if set too high-->
+    <extension_sigma>500</extension_sigma>
   </Acquisition>
 
   <!--  Relative path to the star catalogue -->
@@ -185,14 +215,23 @@
   	Only applicable for saved states-->
   <use_saved_files>0</use_saved_files>
 
-  <hp_map>./HP_map.txt</hp_map>
-
   <flat>./flat_field.txt</flat>
 
   <smear>./smear_kernel.txt</smear>
 
+  <ramp>./ramp_input.txt</ramp>
+
+  <previous_image>./previous_image.txt</previous_image>
+
   <smear_x>0.0</smear_x>
   <smear_y>0.0</smear_y>
 
-
+  <centroid_x>0</centroid_x>
+  <centroid_y>0</centroid_y>
+  <centroid_time>0</centroid_time>
+  <centroid_valid>0</centroid_valid>
+  <centroid_index>0</centroid_index>
+  <centroid_mag>0</centroid_mag>
+  <centroid_send>0</centroid_send>
+  
 </HFS_MetaInfo>
diff --git a/src/Star_catalogue.csv b/src/Star_catalogue.csv
index 27da4fa502d3f0e5088ffb7e20763ebd34dd3ffb..dc959488bb29672e295494539240a871258ce41c 100644
--- a/src/Star_catalogue.csv
+++ b/src/Star_catalogue.csv
@@ -349,8 +349,7 @@ Name,FGS1,FGS2,ra,dec
 36982271,224507.657939489,328315.878909786,230.65461540215,-8.19534179928
 369906986,1187076.34245884,1662248.30192291,20.53632126696,56.45760706804
 370140658,271246.834971595,360421.551603728,73.66777110117,-75.32234202396
-371703596,87097.7291807928,1219\item set \verb{mult_shift_x{ to -1
-59.184087046,156.66075716491,76.51746436952
+371703596,87097.7291807928,121959.184087046,156.66075716491,76.51746436952
 372222012,77507.1676122845,109908.517392378,313.47281343894,-67.98924088907
 372420452,363083.043630608,482626.594700928,317.87284509936,-66.3093536007
 372442556,462566.480892961,696148.189977223,318.21089278901,-69.26836423059
diff --git a/src/detector_features.c b/src/detector_features.c
index 20ef70f9d4959262b6e3abaa1d56f676a6448d0e..ced012092e9b82a3e8d3bbfed305b82d47f3c549 100644
--- a/src/detector_features.c
+++ b/src/detector_features.c
@@ -1,8 +1,8 @@
 /**
 * @file    detector_features.c
 * @author  Gerald Mösenlechner (gerald.moesenlechner@univie.ac.at)
-* @date    January, 2024
-* @version 1.1
+* @date    May, 2024
+* @version 1.2
 *
 * @copyright
 * This program is free software; you can redistribute it and/or modify it
@@ -74,12 +74,11 @@ void generate_bias(double *bias, double *rn_sample, double bias_value, unsigned
  * @param[out] darkframe: output buffer of the dark current
  * @param dark_mean: mean value of the dark (e/s)
  * @param exp_time: exposure time in s
- * @param hot_pixels: array containing the hot pixels
  * @param width/height: size of the detector
  * @param os: oversampling of the final image
  *
  */
-void generate_dark(double *darkframe, double dark_mean, double exp_time, double *hot_pixels, unsigned int width, unsigned int height)
+void generate_dark(double *darkframe, double dark_mean, double exp_time, unsigned int width, unsigned int height)
 {
   	unsigned int i;
 
@@ -93,7 +92,7 @@ void generate_dark(double *darkframe, double dark_mean, double exp_time, double
   	}
 
   	for(i = 0; i < width*height; i++){
-    	darkframe[i] = darkframe[i] * hot_pixels[i];
+    	darkframe[i] = darkframe[i];
   	}
 }
 
@@ -181,10 +180,11 @@ void set_star_in_image(double *image, unsigned int width, unsigned int height, d
   	px_x_high =  (int) (x + 0.5);
   	px_y_high =  (int) (y + 0.5);
 
-	SET_PIXEL(image, height, px_x_low, px_y_low, (1.0-fabs((x_orig-px_x_low))) * (1.0-fabs((y_orig-px_y_low))) * signal);
-	SET_PIXEL(image, height, px_x_high, px_y_high, (1.0-fabs((x_orig-px_x_high))) * (1.0-fabs((y_orig-px_y_high))) * signal);
-	SET_PIXEL(image, height, px_x_low, px_y_high, (1.0-fabs((x_orig-px_x_low))) * (1.0-fabs((y_orig-px_y_high))) * signal);
-	SET_PIXEL(image, height, px_x_high, px_y_low, (1.0-fabs((x_orig-px_x_high))) * (1.0-fabs((y_orig-px_y_low))) * signal);
+
+	SET_PIXEL_SMEAR(image, height, px_x_low, px_y_low, (1.0-fabs((x_orig-px_x_low))) * (1.0-fabs((y_orig-px_y_low))) * signal);
+	SET_PIXEL_SMEAR(image, height, px_x_high, px_y_high, (1.0-fabs((x_orig-px_x_high))) * (1.0-fabs((y_orig-px_y_high))) * signal);
+	SET_PIXEL_SMEAR(image, height, px_x_low, px_y_high, (1.0-fabs((x_orig-px_x_low))) * (1.0-fabs((y_orig-px_y_high))) * signal);
+	SET_PIXEL_SMEAR(image, height, px_x_high, px_y_low, (1.0-fabs((x_orig-px_x_high))) * (1.0-fabs((y_orig-px_y_low))) * signal);
 
 }
 
@@ -203,6 +203,7 @@ void generate_starmask(double *mask, struct stars star_field, double exposure_ti
 {
   	unsigned int i;
   	double signal;
+	FILE *fptr;
 
   	for(i = 0; i<star_field.number; i++){
 	    if(star_field.visible[i] == 1){
@@ -216,6 +217,10 @@ void generate_starmask(double *mask, struct stars star_field, double exposure_ti
 				            else{
 				                signal = star_field.signalFGS2[i];
 				            }
+							fptr = fopen("signal.txt", "a");
+							fprintf(fptr, "%f\n", signal);
+							fclose(fptr);
+							//printf("Signal: %f\n", signal);
 				            set_star_in_image(mask, detector_width, detector_height, star_field.x[i], star_field.y[i], signal*exposure_time);
 			            }
 			        }
@@ -248,8 +253,8 @@ void convolve_starmask_fast(double *result, double *starmask, double *psf, int w
 				j_start = j - (height_psf - 1)/2;
 				for(k=0; k<width_psf; k++){
 					for(l=0; l<height_psf; l++){
-						if((i_start + k) > 0){
-                            if((j_start + l) > 0){
+						if((i_start + k) >= 0){
+                            if((j_start + l) >= 0){
                                 if((i_start + k) < width_star){
                                     if((j_start + l) < height_star){
 							            result[i_start + k + height_star * (j_start + l)] = result[i_start + k + height_star * (j_start + l)] + psf[k + height_psf*l] * starmask[i + height_star*j];
@@ -548,4 +553,155 @@ void shift_smear(double *smear, double x_smear, double y_smear, unsigned int dim
 			sum = sum + smear[i + dim*j];
 		}
 	}	
+}
+
+/**
+ * @brief Function for generating a field of view mask
+ *
+ * @param[out] fov_mask: buffer for the fov mask
+ * @param radius: radius of the fov in arcsec
+ * @param platescale: platescale of the instrument in arcsec/px
+ * @param width: width of the mask
+ * @param height: height of the mask
+ *
+ */
+
+void generate_fov_mask(double *fov_mask, double radius, double platescale, unsigned int width, unsigned int height)
+{
+	unsigned int i, j;
+	double x, y, x_center, y_center;
+
+	x_center = width/2;
+	y_center = height/2;
+
+	for(i = 0; i < width; i++){
+		for(j = 0; j < height; j++){
+
+			x = (i - x_center) * platescale;
+			y = (j - y_center) * platescale;
+
+			if(sqrt(x*x + y*y) < radius){
+				SET_PIXEL(fov_mask, width, i, j, 1);
+			}
+			else{
+				SET_PIXEL(fov_mask, width, i, j, 0);
+			}
+		}
+	}
+}
+
+/*
+ * @brief Function for applying the fov mask to an image
+ *
+ * @param[out] image: buffer for the image
+ * @param fov_mask: buffer for the fov mask
+ * @param width_img/height_img: dimension of the image
+ * @param width_fov/height_fov: dimension of the fov mask
+ * @param x_img/y_img: position of the image in the fov
+ * 
+*/
+
+void apply_fov_mask(double *image, double *fov_mask, unsigned int width_img, unsigned int height_img, unsigned int width_fov, unsigned int height_fov, int x_img, int y_img)
+{
+	unsigned int i, j;
+	int  x_start, y_start;
+	double tmp;
+	x_start = (int) width_fov/2 - ((int) width_img/2 - x_img);
+	y_start = (int) height_fov/2 - ((int) height_img/2 - y_img);
+	for(i = 0; i < width_img; i++){
+		for(j = 0; j < height_img; j++){
+			//printf("X: %d, Y: %d\n", x_start + i, y_start + j);
+			if((x_start + i) >= 0 && (x_start + i) < width_fov){
+				if((y_start + j) >= 0 && (y_start + j) < height_fov){
+					tmp = (GET_PIXEL(image, width_img, i, j)) * (GET_PIXEL(fov_mask, width_fov, (x_start + i), (y_start + j)));
+					SET_PIXEL(image, width_img, i, j, tmp);
+				}
+				else{
+					SET_PIXEL(image, width_img, i, j, 0.0);
+				}
+			}
+			else{
+				SET_PIXEL(image, width_img, i, j, 0.0);
+			}
+		}
+	}
+}
+
+/**
+ * @brief Get the hp array of the current line of sight
+ * 
+ * @param buffer: hot pixel buffer 
+ * @param hp_map: hot pixel master map
+ * @param width_buffer: width of the FoV
+ * @param height_buffer: height of the FoV
+ * @param width_hp: width of the master map
+ * @param height_hp: height of the master map
+ * @param x: x position of the FoV
+ * @param y: y position of the FoV
+ */
+
+void get_hp(double* buffer, double* hp_map, unsigned int width_buffer, unsigned int height_buffer, unsigned int width_hp, unsigned int height_hp, int x, int y)
+{
+	unsigned int i, j;
+	int x_start, y_start;
+	double tmp;
+
+	x_start = (int) width_hp/2 - ((int) width_buffer/2 - x);
+	y_start = (int) height_hp/2 - ((int) height_buffer/2 - y);
+	for(i = 0; i < width_buffer; i++){
+		for(j = 0; j < height_buffer; j++){
+			if((x_start + i) >= 0 && (x_start + i) < width_hp){
+				if((y_start + j) >= 0 && (y_start + j) < height_hp){
+					tmp = (GET_PIXEL(hp_map, width_hp, (x_start + i), (y_start + j)));
+					SET_PIXEL(buffer, width_buffer, i, j, tmp);
+				}
+				else{
+					SET_PIXEL(buffer, width_buffer, i, j, 0.0);
+				}
+			}
+			else{
+				SET_PIXEL(buffer, width_buffer, i, j, 0.0);
+			}
+		}
+	}
+}
+
+/**
+ * @brief Get the calibration array of the current line of sight
+ * 
+ * @param buffer: calibration buffer 
+ * @param hp_map: calibration master
+ * @param width_buffer: width of the FoV
+ * @param height_buffer: height of the FoV
+ * @param width_hp: width of the master
+ * @param height_hp: height of the master
+ * @param x: x position of the FoV
+ * @param y: y position of the FoV
+ */
+
+void get_calibration(unsigned short* buffer, unsigned short* cal, unsigned int width_buffer, unsigned int height_buffer, unsigned int width_cal, unsigned int height_cal, int x, int y)
+{
+	unsigned int i, j;
+	int x_start, y_start;
+	unsigned short tmp;
+
+	x_start = (int) width_cal/2 - ((int) width_buffer/2 - x);
+	y_start = (int) height_cal/2 - ((int) height_buffer/2 - y);
+	for(i = 0; i < width_buffer; i++){
+		for(j = 0; j < height_buffer; j++){
+			if((x_start + i) >= 0 && (x_start + i) < width_cal){
+				if((y_start + j) >= 0 && (y_start + j) < height_cal){
+					tmp = (GET_PIXEL(cal, width_cal, (x_start + i), (y_start + j)));
+
+					SET_PIXEL(buffer, width_buffer, i, j, tmp);
+				}
+				else{
+					SET_PIXEL(buffer, width_buffer, i, j, 0.0);
+				}
+			}
+			else{
+				SET_PIXEL(buffer, width_buffer, i, j, 0.0);
+			}
+		}
+	}
 }
\ No newline at end of file
diff --git a/src/detector_features.h b/src/detector_features.h
index 73c8dd8e1d8eb780a0d2a0f9ba460334c99c53f6..1d1ccd293d01cd2503779a0b3f3d04b06537ddf9 100644
--- a/src/detector_features.h
+++ b/src/detector_features.h
@@ -31,7 +31,7 @@ struct stars {
 
 void generate_bias(double *, double *, double, unsigned int, unsigned int, unsigned int);
 
-void generate_dark(double *, double, double, double *, unsigned int, unsigned int);
+void generate_dark(double *, double, double, unsigned int, unsigned int);
 
 void generate_hotpixels(double *, double, double, double, unsigned int, unsigned int);
 
@@ -51,6 +51,14 @@ void generate_shot(double *, double *, unsigned int, unsigned int);
 
 void shift_smear(double*, double, double, unsigned int);
 
+void generate_fov_mask(double*, double, double, unsigned int, unsigned int);
+
+void apply_fov_mask(double*, double*, unsigned int, unsigned int, unsigned int, unsigned int, int, int);
+
+void get_hp(double*, double*, unsigned int, unsigned int, unsigned int, unsigned int, int, int);
+
+void get_calibration(unsigned short*, unsigned short*, unsigned int, unsigned int, unsigned int, unsigned int, int, int);
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/src/fcu_algorithms.c b/src/fcu_algorithms.c
index 7209ab8a2c60668512a8568aff18795c06704482..9515905b6e8ecb9000ff740b285864c00e0c306b 100644
--- a/src/fcu_algorithms.c
+++ b/src/fcu_algorithms.c
@@ -1,8 +1,8 @@
 /**
 * @file    fcu_algorithms.c
 * @author  Gerald Mösenlechner (gerald.moesenlechner@univie.ac.at)
-* @date    January, 2024
-* @version 1.1
+* @date    May, 2024
+* @version 1.2
 *
 * @copyright
 * This program is free software; you can redistribute it and/or modify it
@@ -42,6 +42,7 @@
 #define ROISIZE 20
 #define ROISIZE_COG 100
 #define REFINEDROISIZE 21
+#define VALBINNING 4
 
 
 
@@ -100,6 +101,7 @@ void find_brightest_uint (unsigned int *buffer, unsigned int buflength, unsigned
         list[i] = 0;
 
     list[0] = buffer[0];
+    positions[0] = 0;
 
     for (ctr=1; ctr < buflength; ctr++){
         temp = buffer[ctr];
@@ -274,6 +276,7 @@ int identify_star (unsigned int *image, unsigned int *brightness, int *is_target
     for(i = 0; i < length; i++){
         brightness[i] = 0;
         is_target[i] = 1;
+        brightness_diff[i] = 0;
         pos_x = (positions[i] % x_dim);
         pos_y = (positions[i] / x_dim);
         for(j = 0; j < i; j++){
@@ -328,7 +331,7 @@ int identify_star (unsigned int *image, unsigned int *brightness, int *is_target
 
 
 /**
- * @brief Median determination based on sorting the array (destructive)
+ * @brief Median determination based on sorting the array (destructive) for n = 9
  *
  * @param data: input array
  *
@@ -395,7 +398,7 @@ void extract_RoI (unsigned int *image, unsigned int width, unsigned int height,
  * @param[out] sig: pointer to the stdev (float) to store the result
  * @note considers Bessel correction
  */
-int MeanSigma (int *data, int len, float *m, float *sig)
+int MeanSigma (unsigned int *data, int len, float *m, float *sig)
 {
     int i;
     double sum = 0.;
@@ -452,7 +455,7 @@ int MeanSigma (int *data, int len, float *m, float *sig)
  * @note for an even number of elements, it returns the smaller one
  * @note The Torben mehtod does not need a separate buffer and it does not mix the input
  */
-int Median (int *data, int len)
+int Median (unsigned int *data, int len)
 {
     int i, less, greater, equal;
     int min, max, guess, maxltguess, mingtguess;
@@ -712,7 +715,7 @@ void extract_strips(unsigned int *data, unsigned int *strip_x, unsigned int *str
     }
 }
 
-unsigned int binned_image[441];
+unsigned int binned_image[XDIM/VALBINNING*YDIM/VALBINNING];
 unsigned int x_strip[25];
 unsigned int y_strip[25];
 unsigned int ref_x[25];
@@ -756,80 +759,69 @@ unsigned int ref_y[25];
  * @returns struct containing the validity data of the centroid
  */
 
-struct valpack CheckRoiForStar (unsigned int *data, unsigned int x_dim, unsigned int y_dim, unsigned int CenSignalLimit, unsigned int CenSigmaLimit, float PearsonLimit, unsigned int fgs, double x_center, double y_center, unsigned int signalTolerance, unsigned int targetSignal)
+struct valpack CheckRoiForStar (unsigned int *data, unsigned int x_dim, unsigned int y_dim, unsigned int CenSignalLimit, float PearsonLimit, unsigned int fgs, double x_center, double y_center, unsigned int signalTolerance, unsigned int targetSignal)
 {
     unsigned int i;
     unsigned int median, minimum, maximum;
-    unsigned int binwidth, binheight, binx, biny, x, y, xstart, ystart, rad;
+    unsigned int binnedwidth, binnedheight, binx, biny, x, y, xstart, ystart, rad;
     float mean, sigma, xdist, ydist, pearson_x, pearson_y;
     unsigned int sum;
     int mag;
     struct valpack package;
 
-    if (x_dim == 0){
-        package.index = 111;
-        package.magnitude = 0;
-        return package;
-    }
 
-    if (y_dim == 0){
+    if ((x_dim > VALBINNING) && (y_dim > VALBINNING)){
+        binnedwidth = x_dim / VALBINNING;
+        binnedheight = y_dim / VALBINNING;
+    }
+    else{
         package.index = 111;
         package.magnitude = 0;
         return package;
     }
 
-    if (fgs == 1){
-      rad = 7;
-    }
-    else{
-      rad = 9;
-    }
-    sum = 0;
-
-    if ((x_dim >= 21) && (x_dim >= 21)){
-        binwidth = x_dim / 21;
-        binheight = y_dim / 21;
-    }
-    else{
+    if ((binnedwidth == 0) || (binnedheight == 0)){
         package.index = 111;
         package.magnitude = 0;
         return package;
     }
 
-    /* Note: For dimensions which are not divisible by 3, the remainder is ignored.
-       Example: in a 15 by 14 image each of the bins will sample 5 pixels in x * 4 pixels in y
-       and the rest is ignored */
-
-    /* clear the binned array first */
-    for (i=0; i < 441; i++){
+    for (i=0; i < (binnedwidth*binnedheight); i++){
         binned_image[i] = 0;
     }
 
-    /* bin to 3x3 */
-    for (biny = 0; biny < 21; biny++){
-        for (y = 0; y < binheight; y++){
-            for (binx = 0; binx < 21; binx++){
-                for (x = 0; x < binwidth; x++){
-                    xstart = x + binx*binwidth;
-                    ystart = (y + biny*binheight) * x_dim;
-                    binned_image[binx + 21*biny] += data[xstart + ystart];
+    /* bin by 3x3 */
+    for (biny = 0; biny < binnedheight; biny++){
+        for (y = 0; y < VALBINNING; y++){
+            for (binx = 0; binx < binnedwidth; binx++){
+                for (x = 0; x < VALBINNING; x++){
+                    xstart = x + binx*VALBINNING;
+                    ystart = (y + biny*VALBINNING) * x_dim;
+                    binned_image[binx + binnedwidth*biny] = binned_image[binx + binnedwidth*biny] + data[xstart + ystart];
                 }
             }
         }
     }
+    
+    if (fgs == 1){
+      rad = 7;
+    }
+    else{
+      rad = 9;
+    }
+    sum = 0;
 
+    
     /* convert the sums to averages */
-    for (i=0; i < 441; i++){
-        binned_image[i] /= (binwidth * binheight);
+    for (i=0; i < binnedwidth*binnedheight; i++){
+        binned_image[i] = binned_image[i] / (VALBINNING * VALBINNING);
     }
 
-    MeanSigma ((int *)binned_image, 441, &mean, &sigma);
-
-    median = Median ((int *)binned_image, 441);
-
-    MinMaxU32 (binned_image, 441, &minimum, &maximum);
+    MeanSigma (binned_image, binnedwidth*binnedheight, &mean, &sigma);
+    
+    median = Median (binned_image, binnedwidth*binnedheight);
 
-    /* DEBUGP("CEN: Mean %f Sig: %f Med: %u Min: %u Max: %u\n", mean, sigma, median, minimum, maximum); */
+    MinMaxU32 (binned_image, binnedwidth*binnedheight, &minimum, &maximum);
 
     /* rule 1: the image must not be constant */
     if (minimum == maximum){
@@ -851,20 +843,14 @@ struct valpack CheckRoiForStar (unsigned int *data, unsigned int x_dim, unsigned
         package.magnitude = 0;
         return package;
     }
-
+    
     /* rule 4: there must be a signal */
     if ((maximum - minimum) < CenSignalLimit){
         package.index = 104;
         package.magnitude = 0;
         return package;
     }
-
-    /* rule 5: the sigma must be large */
-    if (sigma < CenSigmaLimit){
-        package.index = 105;
-        package.magnitude = 0;
-        return package;
-    }
+ 
     /*rule 6: the signal inside of a 5px radius circle around the estimated center must contain a certain percentage of the total signal*/
     for (y = 0; y < y_dim; y++){
         for (x = 0; x < x_dim; x++){
@@ -873,12 +859,11 @@ struct valpack CheckRoiForStar (unsigned int *data, unsigned int x_dim, unsigned
             ydist = abs(y - y_center);
 
             /* speed up */
-            if ((xdist <= rad) || (ydist <= rad)){
+            if ((xdist <= rad) && (ydist <= rad)){
                 sum += GET_PIXEL(data, x_dim, x, y);
             }
         }
     }
-
     extract_strips(data, x_strip, y_strip, x_dim, y_dim, 25, x_center, y_center);
 
     mag = sum;
@@ -1089,13 +1074,12 @@ unsigned int roi_cog[REFINEDROISIZE*REFINEDROISIZE];
  * @param fwhm_y:  FWHM of gaussian weighting function in y
  * @param fgs:  FGS channel for approximated weighting function
  * @param CenSignalLimit: Signal limit for centroid validation
- * @param CenSigmaLimit: Sigma limit for centriod validation
  * @param PearsonLimit: Pearson Coeff limit for centroid validation
  *
  * @returns Centroid packet in form of coord struct
  */
 
-struct coord ArielCoG (unsigned int *img, unsigned int rows, unsigned int cols, unsigned int iterations, float fwhm_x, float fwhm_y, int fgs, unsigned int CenSignalLimit, unsigned int CenSigmaLimit, float PearsonLimit, unsigned int signalTolerance, unsigned int targetSignal)
+struct coord ArielCoG (unsigned int *img, unsigned int rows, unsigned int cols, unsigned int iterations, float fwhm_x, float fwhm_y, int fgs, unsigned int CenSignalLimit, float PearsonLimit, unsigned int signalTolerance, unsigned int targetSignal)
 {
 
     float x_res, y_res;
@@ -1160,7 +1144,7 @@ struct coord ArielCoG (unsigned int *img, unsigned int rows, unsigned int cols,
     res.y = y_start + y_roi;
 
     
-    res.validity = CheckRoiForStar (img, rows, cols, CenSignalLimit, CenSigmaLimit, PearsonLimit,fgs , res.x, res.y, signalTolerance, targetSignal);
+    res.validity = CheckRoiForStar (img, rows, cols, CenSignalLimit, PearsonLimit,fgs , res.x, res.y, signalTolerance, targetSignal);
 
     if(res.validity.index > 99){
         res.validity.flag = 0;
@@ -1192,20 +1176,19 @@ unsigned int roi[BIN*BIN*ROISIZE*ROISIZE];
  * @param iter: iteration count of the CoG
  * @param fwhm_x/fwhm_y: size of the analyt. gaussian weighting func.
  * @param CenSignalLimit: Signal limit for centroid validation
- * @param CenSigmaLimit: Sigma limit for centriod validation
  * @param PearsonLimit: Pearson Coeff limit for centroid validation
  *
  * @returns  coordiates of the target star
  */
 
-struct coord SourceDetection(unsigned int *data, unsigned int xdim, unsigned int ydim, int fgs, unsigned int target_number, unsigned int target_brightness, unsigned int brightness_tolerance, unsigned int sigma, unsigned int iter, float fwhm_x, float fwhm_y, unsigned int CenSignalLimit, unsigned int CenSigmaLimit, float PearsonLimit)
+struct coord SourceDetection(unsigned int *data, unsigned int xdim, unsigned int ydim, int fgs, unsigned int target_number, unsigned int target_brightness, unsigned int brightness_tolerance, unsigned int sigma, unsigned int iter, float fwhm_x, float fwhm_y, unsigned int CenSignalLimit, float PearsonLimit)
 {
     unsigned int binnedwidth, binnedheight, binx, biny, x, y, xstart, ystart;
     unsigned int source_val[target_number];
     unsigned int source_pos[target_number];
     unsigned int source_br[target_number];
     int target[target_number];
-    int pos_x, pos_y, flag;
+    int pos_x = 0, pos_y = 0, flag;
     unsigned int tmp_br = 0, sum = 0, mean, i; /*tmp_br is a placeholder for the brightnes check*/
     struct coord result;
     unsigned int th = 0;
@@ -1232,12 +1215,11 @@ struct coord SourceDetection(unsigned int *data, unsigned int xdim, unsigned int
         return result;
     }
 
-
     for (i=0; i < (binnedwidth*binnedheight); i++){
         binned[i] = 0;
     }
 
-    /* bin to 3x3 */
+    /* bin by 3x3 */
     for (biny = 0; biny < binnedheight; biny++){
         for (y = 0; y < BIN; y++){
             for (binx = 0; binx < binnedwidth; binx++){
@@ -1249,18 +1231,18 @@ struct coord SourceDetection(unsigned int *data, unsigned int xdim, unsigned int
             }
         }
     }
-
+   
     /* calc mean */
-
     for (i=0; i < (binnedwidth * binnedheight); i++){
         sum = sum + binned[i];
     }
+
     mean = (unsigned int) sum / (binnedwidth * binnedheight);
 
     find_brightest_uint(binned, (binnedwidth * binnedheight), target_number, source_val, source_pos);
-
+    
     identify_star(binned, source_br, target, binnedwidth, binnedheight, source_pos, target_number, mean + sigma, target_brightness);
-
+    
     for(i=0; i<target_number;i++){
         if (target[i] == 1){
             if (source_br[i] > tmp_br && (abs(source_br[i]-target_brightness) < (int)(target_brightness*brightness_tolerance/100))){
@@ -1268,51 +1250,158 @@ struct coord SourceDetection(unsigned int *data, unsigned int xdim, unsigned int
                 pos_x = (source_pos[i] % binnedwidth);
                 pos_y = (source_pos[i] / binnedwidth);
                 flag = 1;
-            }
+            } 
         }
     }
+    if(flag == 1){
+        pos_x = pos_x - ROISIZE/2;
+        pos_y = pos_y - ROISIZE/2;
+
+        if (pos_x < 0){
+            pos_x = 0;
+        }
+        if (pos_y < 0){
+            pos_y = 0;
+        }
+        if (pos_x > (binnedwidth - ROISIZE)){
+            pos_x = binnedwidth - ROISIZE;
+        }
+        if (pos_y > (binnedheight - ROISIZE)){
+            pos_y = binnedheight - ROISIZE;
+        }
 
-    pos_x = pos_x - ROISIZE/2;
-    pos_y = pos_y - ROISIZE/2;
+        extract_RoI(data, xdim, ydim, pos_x, pos_y, roi);
 
-    if(flag == 0){
-        pos_x = 0;
-        pos_y = 0;
-    }
-    if (pos_x < 0){
-        pos_x = 0;
-    }
-    if (pos_y < 0){
-        pos_y = 0;
-    }
-    if (pos_x > (binnedwidth - ROISIZE)){
-        pos_x = binnedwidth - ROISIZE;
-    }
-    if (pos_y > (binnedheight - ROISIZE)){
-        pos_y = binnedheight - ROISIZE;
-    }
+        th = GetMin(roi, ROISIZE*BIN*ROISIZE*BIN);
 
-    extract_RoI(data, xdim, ydim, pos_x, pos_y, roi);
+        for (i=0; i < (ROISIZE*BIN*ROISIZE*BIN); i++){
+            roi[i] = roi[i] - th;
+        }
     
-    th = GetMin(roi, ROISIZE*BIN*ROISIZE*BIN);
-
-    for (i=0; i < (ROISIZE*BIN*ROISIZE*BIN); i++){
-        roi[i] = roi[i] - th;
+        result = ArielCoG(roi, ROISIZE*BIN, ROISIZE*BIN, iter, fwhm_x, fwhm_y, fgs, CenSignalLimit, PearsonLimit, brightness_tolerance, target_brightness);
+        result.x = result.x + (float) (pos_x*BIN);
+        result.y = result.y + (float) (pos_y*BIN);
+        
+        if(result.validity.index > 99){
+            result.validity.flag = 0;
+        }
+        else{
+            result.validity.flag = 1;
+        }
     }
-    
-    result = ArielCoG(roi, ROISIZE*BIN, ROISIZE*BIN, iter, fwhm_x, fwhm_y, fgs, CenSignalLimit, CenSigmaLimit, PearsonLimit, brightness_tolerance, target_brightness);
-    result.x = result.x + (float) (pos_x*BIN);
-    result.y = result.y + (float) (pos_y*BIN);
-    if(flag == 0){
-        result.validity.index = 107;
-        result.validity.magnitude = source_br[0];
-    }
-    if(result.validity.index > 99){
+    else{        
+        for(i=0; i < target_number; i++){
+            if(target[i] == 1){
+                pos_x = (source_pos[i] % binnedwidth);
+                pos_y = (source_pos[i] / binnedwidth);
+                result.validity.magnitude = source_br[i];
+
+                if(pos_x == 0 || pos_y == 0 || pos_x == (binnedheight - 1) || (pos_y == binnedheight - 1)){
+                    result.validity.index = 108;
+                    break;
+                }
+                else{
+                    result.validity.index = 107;
+                    break;
+                }
+            }
+            else{
+                result.validity.index = 104;
+                pos_x = 0;
+                pos_y = 0;
+                result.validity.magnitude = 0;
+            }
+        }
+        result.x = (float) pos_x * BIN;
+        result.y = (float) pos_y * BIN;
         result.validity.flag = 0;
     }
-    else{
-        result.validity.flag = 1;
-    }
     result.time = 0.;
     return result;
 }
+
+/**
+ * @brief Function for correcting the pixels marked in the hot pixel map
+ * 
+ * @param image: input image to be corrected
+ * @param map: Hot pixel map that shall be used
+ * @param width: width of the image
+ * @param height: height of the image
+ * @param value: value used for marking hot pixels in the map
+ * @return int: 0 on success
+ */
+int hotPixelCorrection (unsigned int *image, unsigned short *map, unsigned int width, unsigned int height, unsigned int value)
+{
+    unsigned int i, j, tmp;
+    unsigned int medwin[9];
+
+    for(i = 0; i < width; i++){
+        for(j = 0; j < height; j++){
+            if(map[i + width * j] == value){
+                if(j == 0){
+                    medwin[0] = 0;
+                    medwin[1] = 0;
+                    medwin[2] = 0;
+                }
+                else{
+                    if(i == 0){
+                        medwin[0] = 0;
+                    }
+                    else{
+                        medwin[0] = image[(i-1) + width * (j-1)];
+                    }
+                    
+                    medwin[1] = image[i + width * (j-1)];
+
+                    if((i + 1) == width){
+                        medwin[2] = 0;
+                    }
+                    else{
+                        medwin[2] = image[(i+1) + width * (j-1)];
+                    }
+                }
+
+                if((j + 1) == height){
+                    medwin[5] = 0;
+                    medwin[6] = 0;
+                    medwin[7] = 0;
+                }
+                else{
+                    if(i == 0){
+                        medwin[5] = 0;
+                    }
+                    else{
+                        medwin[5] = image[(i-1) + width * (j+1)];
+                    }
+                    
+                    medwin[6] = image[i + width * (j+1)];
+
+                    if((i + 1) == width){
+                        medwin[7] = 0;
+                    }
+                    else{
+                        medwin[7] = image[(i+1) + width * (j+1)];
+                    }
+                }
+                if(i == 0){
+                    medwin[3] = 0;
+                    medwin[4] = image[(i+1) + width * j];
+                }
+                else if ((i + 1) == width){
+                    medwin[3] = image[(i-1) + width * j];
+                    medwin[4] = 0;
+                }
+                else{
+                    medwin[3] = image[(i-1) + width * j];
+                    medwin[4] = image[(i+1) + width * j];
+                }
+
+                medwin[8] = image[i + width * j];
+
+                tmp = Med9USpoil(medwin);
+                image[i + width * j] = tmp;
+            }
+        }
+    }
+    return 0;
+}
\ No newline at end of file
diff --git a/src/fcu_algorithms.h b/src/fcu_algorithms.h
index 4a6cd3b287fccb7fd867f09b11615ff6b5cf41fb..ee5ae979d675442c98cdcf389bd545169785f0ac 100644
--- a/src/fcu_algorithms.h
+++ b/src/fcu_algorithms.h
@@ -30,11 +30,11 @@ void std_threshold(unsigned int *, unsigned int, unsigned int);
 
 int MedFilter3x3 (unsigned int *, unsigned int, unsigned int, unsigned int, unsigned int *);
 
-struct valpack CheckRoiForStar(unsigned int *, unsigned int, unsigned int, unsigned int, unsigned int, float, unsigned int, double, double, unsigned int, unsigned int);
+struct valpack CheckRoiForStar(unsigned int *, unsigned int, unsigned int, unsigned int, float, unsigned int, double, double, unsigned int, unsigned int);
 
-struct coord SourceDetection(unsigned int *, unsigned int , unsigned int, int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, float, float, unsigned int, unsigned int, float);
+struct coord SourceDetection(unsigned int *, unsigned int , unsigned int, int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, float, float, unsigned int, float);
 
-struct coord ArielCoG (unsigned int *, unsigned int, unsigned int, unsigned int, float, float, int, unsigned int, unsigned int, float, unsigned int, unsigned int);
+struct coord ArielCoG (unsigned int *, unsigned int, unsigned int, unsigned int, float, float, int, unsigned int, float, unsigned int, unsigned int);
 
 void CenterOfGravity2D(unsigned int *, unsigned int, unsigned int, float *, float *);
 
@@ -42,10 +42,12 @@ void WeightedCenterOfGravity2D(unsigned int *, float *, unsigned int, unsigned i
 
 void IntensityWeightedCenterOfGravity2D(unsigned int *, unsigned int, unsigned int, float *, float *);
 
-int MeanSigma (int *, int, float *, float *);
+int MeanSigma (unsigned int *, int, float *, float *);
 
 unsigned int GetMin(unsigned int*, unsigned int);
 
+int hotPixelCorrection(unsigned int *, unsigned short *, unsigned int, unsigned int, unsigned int);
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/src/utilities.c b/src/utilities.c
index e62c1e89fb32f80f39af19e18481c6e99b16581f..3e372bc6a8fe4286ad9bbc1bcc8a38278aeebf22 100644
--- a/src/utilities.c
+++ b/src/utilities.c
@@ -1,8 +1,8 @@
 /**
 * @file    utilities.c
 * @author  Gerald Mösenlechner (gerald.moesenlechner@univie.ac.at)
-* @date    January, 2024
-* @version 1.1
+* @date    May, 2024
+* @version 1.2
 *
 * @copyright
 * This program is free software; you can redistribute it and/or modify it
diff --git a/test/DetectorFeatureTest.cpp b/test/DetectorFeatureTest.cpp
index b6ae68cf6eda91f3c86578186937cc04b3170294..e116e388d15cf75ff9f0492f0c6b41bf6221554c 100644
--- a/test/DetectorFeatureTest.cpp
+++ b/test/DetectorFeatureTest.cpp
@@ -53,15 +53,11 @@ void DetectorFeaturesTest::testDark()
     unsigned int i;
     double mean, std;
 
-    for(i = 0; i < 200*200; i++){
-        hp[i] = 1.0;
-    }
-
-    hp[100] = 100.;
+    
 
     mean = 0.;
     std = 0.;
-    generate_dark(dark, 10., 1., hp, 200, 200);
+    generate_dark(dark, 10., 1., 200, 200);
     std::cout << "Check if dark values are not 0\n";
     for(i = 0; i < 200*200; i++)
     {
@@ -76,13 +72,9 @@ void DetectorFeaturesTest::testDark()
     }
     std = sqrt(std/(200*200));
 
-    std::cout << "Check if single hot pixel is a statistical outlier.\n";
-
-    CPPUNIT_ASSERT(dark[100] > (mean + std));
-
     std::cout << "Check dark mean = 0\n";
 
-    generate_dark(dark, 0, 1, hp, 200, 200);
+    generate_dark(dark, 0, 1, 200, 200);
 
     mean = 0;
     for(i = 0; i < 200*200; i++)
diff --git a/test/FCUTest.cpp b/test/FCUTest.cpp
index 0aadf3b8f83420bac28a9b46c6110073bfb0331e..a3b35bce3f5ed5b15839909307c176bfe3d75b24 100644
--- a/test/FCUTest.cpp
+++ b/test/FCUTest.cpp
@@ -67,7 +67,7 @@ void FCUTest::tearDown()
 void FCUTest::testMinMean()
 {
     unsigned int testSet[10] = {3, 6, 0, 4, 9, 7, 5, 2, 8, 1};
-    int testSetMean[3] = {3, 6, 0};
+    unsigned int testSetMean[3] = {3, 6, 0};
     unsigned int res;
     int resMean;
     float mean, sig;
@@ -120,69 +120,62 @@ void FCUTest::testValidation()
         
          
     std::cout << "Check Dimension check.\n";
-    package = CheckRoiForStar(noSignal, 0, 64, 100, 100, 0.6, 1, 32., 32., 20, sum_star);
+    package = CheckRoiForStar(noSignal, 0, 64, 100, 0.6, 1, 32., 32., 20, sum_star);
     std::cout << package.index << "\n";
     CPPUNIT_ASSERT(package.index == 111);
 
     package.index = 0;
 
-    package = CheckRoiForStar(noSignal, 64, 0, 100, 100, 0.6, 1, 32., 32., 20, sum_star);
+    package = CheckRoiForStar(noSignal, 64, 0, 100, 0.6, 1, 32., 32., 20, sum_star);
     CPPUNIT_ASSERT(package.index == 111);
     std::cout << package.index << "\n";
     
     package.index = 0;
 
-    package = CheckRoiForStar(noSignal, 15, 15, 100, 100, 0.6, 1, 32., 32., 20, sum_star);
+    package = CheckRoiForStar(noSignal, 3, 3, 100, 0.6, 1, 32., 32., 20, sum_star);
     CPPUNIT_ASSERT(package.index == 111);
     std::cout << package.index << "\n";
 
     package.index = 0;
     std::cout << "Check constant image check.\n";
     
-    package = CheckRoiForStar(noSignal, 64, 64, 100, 100, 0.6, 1, 32., 32., 20, sum_star);
+    package = CheckRoiForStar(noSignal, 64, 64, 100, 0.6, 1, 32., 32., 20, sum_star);
     std::cout << package.index << "\n";
     CPPUNIT_ASSERT(package.index == 101);
 
     package.index = 0;
     std::cout << "Check no star check.\n";
     
-    package = CheckRoiForStar(noStar, 64, 64, 100, 20, 0.6, 1, 32., 32., 20, sum_star);
+    package = CheckRoiForStar(noStar, 64, 64, 100, 0.6, 1, 32., 32., 20, sum_star);
     std::cout << package.index << "\n";
     CPPUNIT_ASSERT(package.index == 102);
     
     package.index = 0;
     std::cout << "Check too low signal check.\n";
     
-    package = CheckRoiForStar(starImg, 64, 64, 10000, 20, 0.6, 1, 32., 32., 20, sum_star);
+    package = CheckRoiForStar(starImg, 64, 64, 10000, 0.6, 1, 32., 32., 20, sum_star);
     std::cout << package.index << "\n";
     CPPUNIT_ASSERT(package.index == 104);
     
-    package.index = 0;
-    std::cout << "Check too low sigma check.\n";
-    
-    package = CheckRoiForStar(starImg, 64, 64, 100, 200, 0.6, 1, 32., 32., 20, sum_star);
-    std::cout << package.index << "\n";
-    CPPUNIT_ASSERT(package.index == 105);
-
     package.index = 0;
     std::cout << "Check too low pearson check.\n";
 
     std_threshold(starImg, 64, 64);
-    package = CheckRoiForStar(starImg, 64, 64, 100, 20, 1.0, 1, 32., 32., 50, 18000);
+    package = CheckRoiForStar(starImg, 64, 64, 100, 1.0, 1, 32., 32., 50, 18000);
     std::cout << package.index << "\n";
     CPPUNIT_ASSERT(package.index == 106);
 
     package.index = 0;
-    std::cout << "Check valid output.\n";
+    std::cout << "Check valid output FGS1.\n";
     
-    package = CheckRoiForStar(starImg, 64, 64, 100, 20, 0.0, 1, 32., 32., 50, 18000);
+    package = CheckRoiForStar(starImg, 64, 64, 100, 0.0, 1, 32., 32., 50, 18000);
     std::cout << package.index << "\n";
     CPPUNIT_ASSERT(package.index < 1.0);
     
     package.index = 0;
-    std::cout << "Check valid output.\n";
+    std::cout << "Check valid output FGS2.\n";
     
-    package = CheckRoiForStar(starImg, 64, 64, 100, 20, 0.0, 2, 32., 32., 50, 18000);
+    package = CheckRoiForStar(starImg, 64, 64, 100, 0.0, 2, 32., 32., 50, 18000);
     std::cout << package.index << "\n";
     CPPUNIT_ASSERT(package.index < 1.0);
 }
@@ -193,22 +186,23 @@ void FCUTest::testAcquisition()
     
     std::cout << "Check valid output.\n";
     std_threshold(acqImg, 200, 200);
-    output = SourceDetection(acqImg, 200, 200, 1, 4, 22000, 50, 20, 3, 5., 5., 100, 50, 0.3);
+    output = SourceDetection(acqImg, 200, 200, 1, 4, 22000, 50, 20, 3, 5., 5., 100, 0.3);
     CPPUNIT_ASSERT(output.x < 100.0);
     CPPUNIT_ASSERT(output.x > 99.0);
     CPPUNIT_ASSERT(output.y < 100.0);
     CPPUNIT_ASSERT(output.y > 99.0);
+    std::cout << output.validity.index << "\n";
     CPPUNIT_ASSERT(output.validity.flag == 1);
     CPPUNIT_ASSERT(output.validity.index < 1.0);
 
     std::cout << "Check no valid target.\n";
 
-    output = SourceDetection(acqImg, 200, 200, 1, 4, 200000, 50, 20, 3, 5., 5., 100, 50, 0.3);
+    output = SourceDetection(acqImg, 200, 200, 1, 4, 200000, 50, 20, 3, 5., 5., 100, 0.3);
     CPPUNIT_ASSERT(output.validity.flag == 0); 
     
     std::cout << "Check dimension check.\n";
 
-    output = SourceDetection(acqImg, 2, 2, 1, 4, sum_acq, 50, 20, 3, 5., 5., 100, 50, 0.3);
+    output = SourceDetection(acqImg, 2, 2, 1, 4, sum_acq, 50, 20, 3, 5., 5., 100, 0.3);
     CPPUNIT_ASSERT(output.validity.flag == 0); 
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output.x, 0.0, 1e-7);    
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output.y, 0.0, 1e-7);
@@ -220,7 +214,7 @@ void FCUTest::testCentroid()
 
     std::cout << "Check valid output.\n";
     std_threshold(starImg, 64, 64);
-    output = ArielCoG(starImg, 64, 64, 5, 5., 5., 1, 100, 20, 0.3, 50, 18000);
+    output = ArielCoG(starImg, 64, 64, 5, 5., 5., 1, 100, 0.3, 50, 18000);
     CPPUNIT_ASSERT(output.x < 32.0);
     CPPUNIT_ASSERT(output.x > 31.0);
     CPPUNIT_ASSERT(output.y < 32.0);
@@ -230,7 +224,7 @@ void FCUTest::testCentroid()
 
     std::cout << "Check invalid output.\n";
 
-    output = ArielCoG(noStar, 64, 64, 5, 5., 5., 1, 100, 200, 0.3, 50, sum_star);
+    output = ArielCoG(noStar, 64, 64, 5, 5., 5., 1, 100, 0.3, 50, sum_star);
     CPPUNIT_ASSERT(output.validity.flag == 0); 
 
 }
diff --git a/test/HFSTest.cpp b/test/HFSTest.cpp
index e8e87866f116aff975bc1ca81058e731cffc58d2..55cf39c7b61fb6fb091e94fc5a364e771042b7ba 100644
--- a/test/HFSTest.cpp
+++ b/test/HFSTest.cpp
@@ -25,13 +25,15 @@ void HFSTest::testConstructor()
 {
     struct hfs_state state;
     char path[] = "./test/HFS_config_test.xml";
+    char path_alt[] = "./test/HFS_config_test_alt.xml";
     char* real_path = realpath(path, NULL);
-
+    char* real_path_alt = realpath(path_alt, NULL);
     FGS fgs(real_path);
+    FGS fgs_alt(real_path_alt);
 
     state = fgs.get_hfs_state();
 
-    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.timestep, 0.015625, 0.001);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.timestep, 0.0125, 0.001);
   
     CPPUNIT_ASSERT_EQUAL((int) state.rand_seed, 135412);
 
@@ -49,7 +51,7 @@ void HFSTest::testConstructor()
 
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.dark_mean, 1, 0.001);
 
-    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.hp_amount, 0, 0.0);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.gain, 1.0, 0.001);
 
     CPPUNIT_ASSERT_EQUAL((int) state.full_well_cap, 100000);
 
@@ -61,7 +63,7 @@ void HFSTest::testConstructor()
 
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.reset_end, 0.0, 0.001);
 
-    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.timing_tolerance, 0.0, 0.001);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.timing_tolerance, 0.005, 0.001);
 
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.ps_fgs1, 175.0, 0.001);
 
@@ -82,7 +84,7 @@ void HFSTest::testConstructor()
 
     CPPUNIT_ASSERT_EQUAL((int)state.channel, 1);
 
-    //CPPUNIT_ASSERT(strncmp(state.mode, "Tracking", 7) == 0);
+    CPPUNIT_ASSERT_EQUAL(state.mode, 2);
 
     CPPUNIT_ASSERT_EQUAL((int) state.fwhm1_x, 5);
     CPPUNIT_ASSERT_EQUAL((int) state.fwhm1_y, 5);
@@ -90,15 +92,15 @@ void HFSTest::testConstructor()
     CPPUNIT_ASSERT_EQUAL((int) state.fwhm2_x, 6);
     CPPUNIT_ASSERT_EQUAL((int) state.fwhm2_y, 6);
     
-    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.transition_delay, 0.5, 0.001);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.transition_delay_channel, 0.5, 0.001);
+
+    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.transition_delay_mode, 0.5, 0.001);
     
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.transition_end, 0.0, 0.001);
 
-    CPPUNIT_ASSERT_EQUAL((int) state.target_signal, 80000);
+    CPPUNIT_ASSERT_EQUAL((int) state.target_signal, 60000);
     
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.lower_sig_lim, 1.0, 0.001);
-
-    CPPUNIT_ASSERT_EQUAL((int) state.val_sigma, 10);
     
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.pearson_limit, 0.6, 0.001);
 
@@ -108,9 +110,9 @@ void HFSTest::testConstructor()
 
     CPPUNIT_ASSERT_EQUAL((int)state.med_track, 1);
 
-    CPPUNIT_ASSERT_EQUAL((int)state.tolerance_track, 20);
+    CPPUNIT_ASSERT_EQUAL((int)state.tolerance_track, 30);
 
-    CPPUNIT_ASSERT_EQUAL((int)state.threshold_track, 1);
+    CPPUNIT_ASSERT_EQUAL((int)state.threshold_track, 2);
 
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.delay_track, 0.02, 0.001);
 
@@ -120,28 +122,37 @@ void HFSTest::testConstructor()
 
     CPPUNIT_ASSERT_EQUAL((int)state.iter_acq, 3);
 
-    CPPUNIT_ASSERT_EQUAL((int)state.med_acq, 0);
+    CPPUNIT_ASSERT_EQUAL((int)state.med_acq, 1);
 
-    CPPUNIT_ASSERT_EQUAL((int)state.threshold_acq, 1);
+    CPPUNIT_ASSERT_EQUAL((int)state.threshold_acq, 2);
 
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.delay_acq, 0.1, 0.001);
 
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.exp_acq, 0.5, 0.001);
 
-    CPPUNIT_ASSERT_EQUAL((int) state.tolerance_acq, 20);
+    CPPUNIT_ASSERT_EQUAL((int) state.tolerance_acq, 30);
     
     CPPUNIT_ASSERT_EQUAL((int) state.acq_dim_fgs1, 128);
     
-    CPPUNIT_ASSERT_EQUAL((int) state.acq_dim_fgs2, 161);
+    CPPUNIT_ASSERT_EQUAL((int) state.acq_dim_fgs2, 162);
 
-    CPPUNIT_ASSERT_EQUAL((int) state.max_targets, 10);
+    CPPUNIT_ASSERT_EQUAL((int) state.max_targets, 25);
 
     CPPUNIT_ASSERT_EQUAL((int) state.extension_sigma, 1000);
 
+    CPPUNIT_ASSERT_EQUAL((int) state.ramp_length, 100);
+
+    CPPUNIT_ASSERT_EQUAL((int) state.ramp_counter, 0);
+
+    CPPUNIT_ASSERT_EQUAL((int) state.sat_limit, 5);
+
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.x_smear_0, 0.0, 0.001);
     
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.y_smear_0, 0.0, 0.001);
 
+    state = fgs_alt.get_hfs_state();
+
+    CPPUNIT_ASSERT_EQUAL((int)state.channel, 2);
 }
 
 void HFSTest::testChannelChange()
@@ -178,7 +189,7 @@ void HFSTest::testModeChange()
 
     state = fgs.get_hfs_state();
 
-    CPPUNIT_ASSERT(strcmp(state.mode, "Acquisition") == 0);
+    CPPUNIT_ASSERT_EQUAL(state.mode, 1);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.delay, 0.1, 0.001);
     CPPUNIT_ASSERT_EQUAL((int)state.dim_x, 128);
     CPPUNIT_ASSERT_EQUAL((int)state.dim_y, 128);
@@ -187,7 +198,7 @@ void HFSTest::testModeChange()
     fgs.set_mode("Tracking");
 
     state = fgs.get_hfs_state();
-    CPPUNIT_ASSERT(strcmp(state.mode, "Tracking") == 0);
+    CPPUNIT_ASSERT_EQUAL(state.mode, 2);
 }
 
 void HFSTest::testTransformation()
@@ -203,21 +214,21 @@ void HFSTest::testTransformation()
     double output[2];
     double velRes;
 
-    fgs.transform_to_detector(vecx, vecVel, 0, 0,  output);
+    fgs.transform_to_detector(vecx, vecVel, output);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[0], 1e-5*(360/TWO_PI)*3600000/175.00, 1e-5);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[1], 0, 1e-7);
 
-    fgs.transform_to_detector(vecy, vecVel, 0, 0, output);
+    fgs.transform_to_detector(vecy, vecVel, output);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[0], 0, 1e-7);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[1], 1e-5*(360/TWO_PI)*3600000/175.0, 1e-5);
 
-    fgs.transform_to_detector(vecz, vecVel, 0, 0, output);
+    fgs.transform_to_detector(vecz, vecVel, output);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[0], 0, 1e-5);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[1], 0, 1e-5);
 
     vecVel[0] = 5;
 
-    fgs.transform_to_detector(vecx, vecVel, 0, 0,  output);
+    fgs.transform_to_detector(vecx, vecVel, output);
 
     velRes = (1e-5 + 5/CVEL)*(360/TWO_PI)*3600000/175.0;
 
@@ -227,7 +238,7 @@ void HFSTest::testTransformation()
     vecVel[0] = 0;
     vecVel[1] = 5;
 
-    fgs.transform_to_detector(vecy, vecVel, 0, 0,  output);
+    fgs.transform_to_detector(vecy, vecVel, output);
     velRes = (1e-5 + 5/CVEL)*(360/TWO_PI)*3600000/175.0;
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[0], 0, 1e-5);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[1], velRes, 1e-5);
@@ -239,23 +250,23 @@ void HFSTest::testTransformation()
     vecx[0] = 1e-5;
     vecx[1] = 0;
     vecx[2] = 1;
-    fgs.transform_to_detector(vecx, vecVel, 0, 0,  output);
+    fgs.transform_to_detector(vecx, vecVel, output);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[0], 1e-5*(360/TWO_PI)*3600000/175.00, 1e-5);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[1], 0, 1e-7);
     vecy[0] = 0;
     vecy[1] = 1e-5;
     vecy[2] = 1;
-    fgs.transform_to_detector(vecy, vecVel, 0, 0, output);
+    fgs.transform_to_detector(vecy, vecVel, output);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[0], 0, 1e-7);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[1], 1e-5*(360/TWO_PI)*3600000/175.0, 1e-5);
 
-    fgs.transform_to_detector(vecz, vecVel, 0, 0, output);
+    fgs.transform_to_detector(vecz, vecVel, output);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[0], 0, 1e-5);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[1], 0, 1e-5);
 
     vecVel[0] = 5;
 
-    fgs.transform_to_detector(vecx, vecVel, 0, 0,  output);
+    fgs.transform_to_detector(vecx, vecVel, output);
     velRes = (1e-5 + 5/CVEL)*(360/TWO_PI)*3600000/175.0;
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[0], velRes, 1e-5);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[1], 0, 1e-5);
@@ -263,7 +274,7 @@ void HFSTest::testTransformation()
     vecVel[0] = 0;
     vecVel[1] = 5;
 
-    fgs.transform_to_detector(vecy, vecVel, 0, 0,  output);
+    fgs.transform_to_detector(vecy, vecVel, output);
     velRes = (1e-5 + 5/CVEL)*(360/TWO_PI)*3600000/175.0;
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[0], 0, 1e-5);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(output[1], velRes, 1e-5);
@@ -277,10 +288,10 @@ void HFSTest::testMainLoop()
     struct hfs_state state;
     hfs_parameters update;
     outputHfs outPacket;
-    double quat[4] = {0.8892834993148474, -0.0006038143244162956, 0.2873837014059442, -0.3557880006700909};
+    double quat[4] = {0.8689485897529942 , 0.36411458356110155 , -0.3351849018145181, 0.0};
     double vel[3] = {0.0, 0.0, 0.0};
     double time;
-    double dt = 0.015625;
+    double dt = 0.0125;
     unsigned int i;
 
     outPacket.time = 0.;
@@ -330,12 +341,19 @@ void HFSTest::testMainLoop()
     std::cout << "Check exposure start\n";
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.start_exposure, 0.0, 0.00001);
 
+    update.target_pos_x = 1;
+    update.target_pos_y = 2;
+
     update.time = update.time + dt;    
     fgs.set_params(update, &outPacket);
     state = fgs.get_hfs_state();
     std::cout << "Check time propagation\n";
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.sim_time, dt, 0.00001);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.start_exposure, 0.0, 0.00001);
+    CPPUNIT_ASSERT_EQUAL(state.target_pos_x, 1);
+    CPPUNIT_ASSERT_EQUAL(state.target_pos_y, 2);
+    update.target_pos_x = 0;
+    update.target_pos_y = 0;
     for(i = 0; i < 10; i++)
     {
         update.time = update.time + dt;    
@@ -344,10 +362,10 @@ void HFSTest::testMainLoop()
     state = fgs.get_hfs_state();
 
     std::cout << "Check new integration start\n";
-    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.start_exposure, 0.109375, 0.00001);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.start_exposure, 0.1, 0.00001);
 
     std::cout << "Check generated centroid packet\n";
-    CPPUNIT_ASSERT(outPacket.x < 1);
+    CPPUNIT_ASSERT(outPacket.x > 1);
     CPPUNIT_ASSERT_DOUBLES_EQUAL(outPacket.time, 0.12, 0.01);
 
     std::cout << "Check Channel transition\n";
@@ -355,12 +373,6 @@ void HFSTest::testMainLoop()
     update.channel = 2;
     update.time = update.time + dt;
     fgs.set_params(update, &outPacket);
-    update.time = update.time + dt;
-    fgs.set_params(update, &outPacket);
-    
-    /* Advance time to next centroid generation */
-    update.time = update.time + dt;    
-    fgs.set_params(update, &outPacket); 
 
     state = fgs.get_hfs_state();
     CPPUNIT_ASSERT_DOUBLES_EQUAL(state.transition_end, update.time + 0.5, 0.0001);
@@ -373,6 +385,36 @@ void HFSTest::testMainLoop()
     state = fgs.get_hfs_state();
     CPPUNIT_ASSERT_EQUAL((int )state.channel, 2);
 
+    std::cout << "Check Mode Transition\n";
+    update.mode = 1;
+    update.time = update.time + dt;
+    fgs.set_params(update, &outPacket);
+    update.target_pos_x = 1;
+    update.target_pos_y = 2;
+
+    state = fgs.get_hfs_state();
+    CPPUNIT_ASSERT_DOUBLES_EQUAL(state.transition_end, update.time + 0.5, 0.0001);
+    for(i = 0; i < 100; i++)
+    {
+        update.time = update.time + dt;    
+        fgs.set_params(update, &outPacket);
+    }
+    state = fgs.get_hfs_state();
+    CPPUNIT_ASSERT_EQUAL((int)state.mode, 1);
+
+    std::cout << "Check borders for Tracking\n";
+
+    update.mode = 2;
+    update.target_pos_x = 80;
+    update.target_pos_y = 80;
+
+    for(i = 0; i < 100; i++)
+    {
+        update.time = update.time + dt;    
+        fgs.set_params(update, &outPacket);
+    }
+    update.target_pos_x = 0;
+    update.target_pos_y = 0;
     std::cout << "Check Reset of FGS\n";
     update.reset = 1;
     update.time = update.time + dt;    
@@ -411,7 +453,7 @@ void HFSTest::testSave()
     double quat[4] = {0.8892834993148474, -0.0006038143244162956, 0.2873837014059442, -0.3557880006700909};
     double vel[3] = {0.0, 0.0, 0.0};
     double time;
-    double dt = 0.015625;
+    double dt = 0.0125;
     unsigned int i;
 
     outPacket.time = 0.;
diff --git a/test/HFS_config_test.xml b/test/HFS_config_test.xml
index c388fb08b340cb6858b95f380427a3ca69a7394c..7840f9a67eb69748e1645307ebd66b0385b651a4 100644
--- a/test/HFS_config_test.xml
+++ b/test/HFS_config_test.xml
@@ -1,8 +1,10 @@
 <HFS_MetaInfo>
 
+  <simulation_time>0.0</simulation_time>
+
   <!--  Global timestep of the matlab simulink model.
-        Default: 0.015625 (64Hz)-->
-  <timestep>0.015625</timestep>
+        Default: 0.0125 (80Hz)-->
+  <timestep>0.0125</timestep>
 
   <!-- 	Random seed used in the noise generation -->
   <random_seed>135412</random_seed>
@@ -21,24 +23,22 @@
         flat field is clipped at 1.0 per pixel.  -->
   <flat_sigma>0.03</flat_sigma>
 
-  <!-- Fixed bias value that is included in the final image. -->
+  <!-- Fixed bias value that is included in the final image. Default: 2000 -->
   <bias>2000.0</bias>
 
-  <!--  The mean read noise of a pixel in ADU. -->
+  <!--  The mean read noise of a pixel in ADU. Default: 20 -->
   <readout_noise>20.0</readout_noise>
 
   <!-- The mean bkgr noise in photons per second. -->
   <bkgr_noise>1.1</bkgr_noise>
 
   <!--  The mean dark current in a pixel in electrons per
-        second. -->
+        second. Deefault: 1 -->
   <dark_average>1</dark_average>
 
-  <!--  The fraction of hotpixels of all sensor pixels. These
-        are randomly selected during the simulation. Al-
-        lowed value range: 0.0-1.0. -->
-  <hotpixel_amount>0</hotpixel_amount>
-
+  <!--  The gain to the detectors. Default: 1 -->
+  <gain>1.0</gain>
+  
   <!--  The full well capacity of the detector in ADU  -->
   <full_well_capacity>100000</full_well_capacity>
 
@@ -56,9 +56,9 @@
   <!--  State variable denoting end of ongoing reset, Default: 0-->
   <reset_end>0</reset_end>
 
-  <!--  Tolerance for the timing related checks for centroid generation, rerset 
+  <!--  Tolerance for the timing related checks for centroid generation, reset 
         and transitions, Default: 0.005-->
-  <timing_tolerance>0.0</timing_tolerance>
+  <timing_tolerance>0.005</timing_tolerance>
 
   <!--  relative path of the Psf input files. The psfs are given as 40x40px
         arrays that are stored in the C array format -->
@@ -103,37 +103,68 @@
   <FGS_mode>Tracking</FGS_mode>
 
   <!-- FWHM of the gaussian used as a weighting function in the centroid calculation in px.
-      Default: FGS1: x = 16, y = 15; FGS2: x = 11, y = 14
+      Default: FGS1: x = 5, y = 5; FGS2: x = 6, y = 6
   -->
   <FWHM_FGS1_x>5</FWHM_FGS1_x>
   <FWHM_FGS1_y>5</FWHM_FGS1_y>
   <FWHM_FGS2_x>6</FWHM_FGS2_x>
   <FWHM_FGS2_y>6</FWHM_FGS2_y>
 
+  <!-- Time delay causes by the channel switch in s. -->
+  <transition_delay_channel>0.5</transition_delay_channel>
+
   <!-- Time delay causes by the mode switch in s. -->
-  <transition_delay>0.5</transition_delay>
+  <transition_delay_mode>0.5</transition_delay_mode>
 
-  <!--  End time of an ongoing transition. Used for State saving. 0 denotes no transition. Default: 0 
-  -->
-  <transition_end>0</transition_end>
+  <!--  End time of an ongoing transition. Used for State saving. 0 denotes no transition. Default: 0 -->
+  <transition_end>0.0</transition_end>
 
   <!--  Target signal in ADU per second used for validation -->
-  <target_signal>80000</target_signal>
+  <target_signal>60000</target_signal>
 
   <!--  lower signal limit ("There is a signal" check) for centroid validation in % of target signal. defalt 1%-->
-  <lower_signal_limit>1.0</lower_signal_limit>
-
-  <!--  Sigma threshold in ADU used in the validation procedure -->
-  <validation_sigma>10</validation_sigma>
+  <lower_signal_limit>1</lower_signal_limit>
 
   <!--  Threshold for the Pearson correlation used as the validity index.
         Index can range from -1 to 1. A value of 0.5 to 0.6 serves as a
         decent cutoff for invalid measurements-->
   <validation_pearson_limit>0.6</validation_pearson_limit>
-  
+
   <!-- default failed status of the HFS -->
   <failed_status>0</failed_status>
 
+  <!--  Ramp length in samples. Default: 100 -->
+  <ramp_length>100</ramp_length>
+
+  <!-- current position in the ramp. Default: 0 -->
+  <ramp_counter>0</ramp_counter>
+
+  <!-- Maximum ramp length. Default: 150 -->
+  <max_ramp>150</max_ramp>
+  
+  <!-- Limit for staturated pixels in an image. At this limit, the centroid will be set invalid. 
+  Used for the Snowball detection. Default: 5 -->
+  <saturation_limit>5</saturation_limit>
+  
+  <!-- Calibration and hot pixel map that replaces the first sample of a ramp for FGS1 -->
+  <reset_calibration_FGS1>./Calibration_FGS1.txt</reset_calibration_FGS1>
+
+  <!-- Calibration and hot pixel map that replaces the first sample of a ramp for FGS2 -->
+  <reset_calibration_FGS2>./Calibration_FGS2.txt</reset_calibration_FGS2>
+  
+  <!--  Name of the Hot and Dead Pixel input map to be used by the HFS for FGS2 -->
+  <hp_map_FGS1>./hotPixels_FGS1.txt</hp_map_FGS1>
+
+  <!--  Name of the Hot and Dead Pixel input map to be used by the HFS for FGS2 --> 
+  <hp_map_FGS2>./hotPixels_FGS2.txt</hp_map_FGS2>
+
+  <!-- Noise of the reset anomaly -->
+  <reset_noise>10</reset_noise>
+
+  <!--  The radius of the circular field of view in arcsec. set to zero for full FoV. 
+   Default: 22 -->
+  <circular_fov_radius>22</circular_fov_radius>
+
   <!--  Configuration of the Tracking procedure -->
   <Tracking>
     <!--  Iterations of the algorithm. Standard is 5 -->
@@ -141,14 +172,14 @@
     <!--  Toogle optional median filter -->
     <median_filter>1</median_filter>
     <!--  Toogle thresholding -->
-    <thresholding>1</thresholding>
+    <thresholding>2</thresholding>
     <!--  Delay of the centroid packet in seconds.
           Note: must be lower than the integration time (0.125 s) -->
     <delay>0.02</delay>
     <!-- Exposure time for mode Tracking in s, default: 0.1 -->
     <exposure_time>0.1</exposure_time>
-    <!--  Brightness tolerance for Validation default is 20% -->
-    <tolerance>20</tolerance>
+    <!--  Brightness tolerance for Validation default is 30% -->
+    <tolerance>30</tolerance>
     <!-- Dimension of the Tracking window in px, default: 64 -->
     <dim>64</dim>
   </Tracking>
@@ -158,22 +189,22 @@
     <!--  Iterations of the algorithm. Standard is 3 -->
     <iterations>3</iterations>
     <!--  Toogle optional median filter -->
-    <median_filter>0</median_filter>
+    <median_filter>1</median_filter>
     <!--  Toogle thresholding -->
-    <thresholding>1</thresholding>
+    <thresholding>2</thresholding>
     <!--  Delay of the centroid packet in seconds.
           Note: must be lower than the integration time (0.5 s) -->
     <delay>0.1</delay>
     <!-- Exposure time for mode Acquisition in s, default: 0.5 -->
     <exposure_time>0.5</exposure_time>
-    <!--  Brightness tolerance for target identification default is 20% -->
-    <tolerance>20</tolerance>
+    <!--  Brightness tolerance for target identification default is 30% -->
+    <tolerance>30</tolerance>
     <!-- Dimensiton of the Acquisition window for FGS1, default: 128px -->
     <FGS1_dim>128</FGS1_dim>
-    <!-- Dimensiton of the Acquisition window for FGS2, default: 161px -->
-    <FGS2_dim>161</FGS2_dim>
-    <!-- Limit of brightest sources to be considered in the source extraction. Default: 10-->
-    <target_limit>10</target_limit>
+    <!-- Dimensiton of the Acquisition window for FGS2, default: 162px -->
+    <FGS2_dim>162</FGS2_dim>
+    <!-- Limit of brightest sources to be considered in the source extraction. Default: 25-->
+    <target_limit>25</target_limit>
     <!-- Signal Sigma Limit for Source extent check. Default: 1000. Possible cause for 107 error if set too high-->
     <extension_sigma>1000</extension_sigma>
   </Acquisition>
@@ -185,14 +216,23 @@
   	Only applicable for saved states-->
   <use_saved_files>0</use_saved_files>
 
-  <hp_map>./HP_map.txt</hp_map>
-
   <flat>./flat_field.txt</flat>
 
   <smear>./smear_kernel.txt</smear>
 
-  <smear_x>0.0</smear_x>
-  <smear_y>0.0</smear_y>
+  <ramp>./ramp_input.txt</ramp>
 
+  <previous_image>./previous_image.txt</previous_image>
 
+  <smear_x>0.0</smear_x>
+  <smear_y>0.0</smear_y>
+  
+  <centroid_x>0</centroid_x>
+  <centroid_y>0</centroid_y>
+  <centroid_time>0</centroid_time>
+  <centroid_valid>0</centroid_valid>
+  <centroid_index>0</centroid_index>
+  <centroid_mag>0</centroid_mag>
+  <centroid_send>0</centroid_send>
+  
 </HFS_MetaInfo>
diff --git a/test/HFS_config_test_alt.xml b/test/HFS_config_test_alt.xml
new file mode 100644
index 0000000000000000000000000000000000000000..3c192db7699eb4a33c66ec7b1dac6c44ed105ebb
--- /dev/null
+++ b/test/HFS_config_test_alt.xml
@@ -0,0 +1,237 @@
+<HFS_MetaInfo>
+
+  <simulation_time>0.0</simulation_time>
+
+  <!--  Global timestep of the matlab simulink model.
+        Default: 0.0125 (80Hz)-->
+  <timestep>0.0125</timestep>
+
+  <!-- 	Random seed used in the noise generation -->
+  <random_seed>135412</random_seed>
+
+  <!-- 	Starting time of last integration, used for saving the current
+      	simulator state. Default for new runs: 0 -->
+  <integration_start>0</integration_start>
+
+  <!--  The mean value for pixel sensitivities. Allowed
+        value range: 0.0-1.0. Note that the simulated flat
+        field is clipped at 1.0 per pixel. -->
+  <flat_mean>0.97</flat_mean>
+
+  <!--  The standard deviation of the pixel sensitivities. Al-
+        lowed value range: 0.0-1.0. Note that the simulated
+        flat field is clipped at 1.0 per pixel.  -->
+  <flat_sigma>0.03</flat_sigma>
+
+  <!-- Fixed bias value that is included in the final image. Default: 2000 -->
+  <bias>2000.0</bias>
+
+  <!--  The mean read noise of a pixel in ADU. Default: 20 -->
+  <readout_noise>20.0</readout_noise>
+
+  <!-- The mean bkgr noise in photons per second. -->
+  <bkgr_noise>1.1</bkgr_noise>
+
+  <!--  The mean dark current in a pixel in electrons per
+        second. Deefault: 1 -->
+  <dark_average>1</dark_average>
+  
+  <!--  The gain to the detectors. Default: 1 -->
+  <gain>1.0</gain>
+  <!--  The full well capacity of the detector in ADU  -->
+  <full_well_capacity>100000</full_well_capacity>
+
+  <!--  The difference threshold in ADU at which the median filter will replace
+        the image value with the local median -->
+  <median_filter_threshold>1000</median_filter_threshold>
+
+  <!--  Standard deviation of the centroid error induced by the spacecraft
+        jitter during the integration period in mas. -->
+  <jitter_error_std>5.0</jitter_error_std>
+
+  <!--  Duration of the simulated FCU reset in s -->
+  <reset_duration>0.5</reset_duration>
+
+  <!--  State variable denoting end of ongoing reset, Default: 0-->
+  <reset_end>0</reset_end>
+
+  <!-- Limit for staturated pixels in an image. At this limit, the centroid will be set invalid. 
+  Used for the Snowball detection. Default: 5 -->
+  <saturation_limit>5</saturation_limit>
+  
+  <!--  Tolerance for the timing related checks for centroid generation, reset 
+        and transitions, Default: 0.005-->
+  <timing_tolerance>0.005</timing_tolerance>
+
+  <!--  relative path of the Psf input files. The psfs are given as 40x40px
+        arrays that are stored in the C array format -->
+
+  <FGS1_Psf>./FGS1_270nm.txt</FGS1_Psf>
+
+  <FGS2_Psf>./FGS2_270nm.txt</FGS2_Psf>
+
+  <!-- Plate scale of FGS1 in mas/px, Default: 175 -->
+  <FGS1_PS>175.0</FGS1_PS>
+
+  <!-- Plate scale of FGS2 in mas/px, Default: 136 -->
+  <FGS2_PS>137.0</FGS2_PS>
+  
+  <!-- Focal length of FGS1 in m, Default: 21.21 -->
+  <FGS1_FL>21.21</FGS1_FL>
+
+  <!-- Focal length of FGS2 in m, Default: 27.08 -->
+  <FGS2_FL>27.08</FGS2_FL>
+
+  <!-- Quantum efficiency of FGS1, Default: 0.58 -->
+  <FGS1_QE>0.58</FGS1_QE>
+
+  <!-- Quantum efficiency of FGS2, Default: 0.70 -->
+  <FGS2_QE>0.70</FGS2_QE>
+
+  <!-- Angular missalignment of the FGS channels from the optical axis in the the detector plane in mas, No default values available -->
+  <FGS1_Offset_X>0</FGS1_Offset_X>
+  <FGS1_Offset_Y>0</FGS1_Offset_Y>
+
+  <FGS2_Offset_X>0</FGS2_Offset_X>
+  <FGS2_Offset_Y>0</FGS2_Offset_Y>
+
+  <!--  Starting channel of the Simulator: 1 or 2 -->
+  <FGS_channel>2</FGS_channel>
+
+  <!--  Starting operational mode of the Simulator. Possible entries are:
+        - Tracking
+        - Acquisition
+        - Standby
+  -->
+  <FGS_mode>Acquisition</FGS_mode>
+
+  <!-- FWHM of the gaussian used as a weighting function in the centroid calculation in px.
+      Default: FGS1: x = 5, y = 5; FGS2: x = 6, y = 6
+  -->
+  <FWHM_FGS1_x>5</FWHM_FGS1_x>
+  <FWHM_FGS1_y>5</FWHM_FGS1_y>
+  <FWHM_FGS2_x>6</FWHM_FGS2_x>
+  <FWHM_FGS2_y>6</FWHM_FGS2_y>
+
+  <!-- Time delay causes by the channel switch in s. -->
+  <transition_delay_channel>0.5</transition_delay_channel>
+
+  <!-- Time delay causes by the mode switch in s. -->
+  <transition_delay_mode>0.5</transition_delay_mode>
+
+  <!--  End time of an ongoing transition. Used for State saving. 0 denotes no transition. Default: 0 -->
+  <transition_end>0.0</transition_end>
+
+  <!--  Target signal in ADU per second used for validation -->
+  <target_signal>60000</target_signal>
+
+  <!--  lower signal limit ("There is a signal" check) for centroid validation in % of target signal. defalt 1%-->
+  <lower_signal_limit>1</lower_signal_limit>
+
+  <!--  Threshold for the Pearson correlation used as the validity index.
+        Index can range from -1 to 1. A value of 0.5 to 0.6 serves as a
+        decent cutoff for invalid measurements-->
+  <validation_pearson_limit>0.6</validation_pearson_limit>
+
+  <!-- default failed status of the HFS -->
+  <failed_status>0</failed_status>
+
+  <!--  Ramp length in samples. Default: 100 -->
+  <ramp_length>100</ramp_length>
+
+  <!-- current position in the ramp. Default: 0 -->
+  <ramp_counter>0</ramp_counter>
+  
+  <!-- Maximum ramp length. Default: 150 -->
+  <max_ramp>150</max_ramp>
+  
+  <!-- Calibration and hot pixel map that replaces the first sample of a ramp for FGS1 -->
+  <reset_calibration_FGS1>./Calibration_FGS1.txt</reset_calibration_FGS1>
+
+  <!-- Calibration and hot pixel map that replaces the first sample of a ramp for FGS2 -->
+  <reset_calibration_FGS2>./Calibration_FGS2.txt</reset_calibration_FGS2>
+  
+  <!--  Name of the Hot and Dead Pixel input map to be used by the HFS for FGS2 -->
+  <hp_map_FGS1>./hotPixels_FGS1.txt</hp_map_FGS1>
+
+  <!--  Name of the Hot and Dead Pixel input map to be used by the HFS for FGS2 --> 
+  <hp_map_FGS2>./hotPixels_FGS2.txt</hp_map_FGS2>
+
+  <!-- Noise of the reset anomaly -->
+  <reset_noise>10</reset_noise>
+
+  <!--  The radius of the circular field of view in arcsec. set to zero for full FoV. 
+   Default: 22 -->
+  <circular_fov_radius>0</circular_fov_radius>
+
+  <!--  Configuration of the Tracking procedure -->
+  <Tracking>
+    <!--  Iterations of the algorithm. Standard is 5 -->
+    <iterations>5</iterations>
+    <!--  Toogle optional median filter -->
+    <median_filter>1</median_filter>
+    <!--  Toogle thresholding -->
+    <thresholding>2</thresholding>
+    <!--  Delay of the centroid packet in seconds.
+          Note: must be lower than the integration time (0.125 s) -->
+    <delay>0.02</delay>
+    <!-- Exposure time for mode Tracking in s, default: 0.1 -->
+    <exposure_time>0.1</exposure_time>
+    <!--  Brightness tolerance for Validation default is 30% -->
+    <tolerance>30</tolerance>
+    <!-- Dimension of the Tracking window in px, default: 64 -->
+    <dim>64</dim>
+  </Tracking>
+
+  <!--  Configuration of the Acquisition procedure -->
+  <Acquisition>
+    <!--  Iterations of the algorithm. Standard is 3 -->
+    <iterations>3</iterations>
+    <!--  Toogle optional median filter -->
+    <median_filter>0</median_filter>
+    <!--  Toogle thresholding -->
+    <thresholding>2</thresholding>
+    <!--  Delay of the centroid packet in seconds.
+          Note: must be lower than the integration time (0.5 s) -->
+    <delay>0.1</delay>
+    <!-- Exposure time for mode Acquisition in s, default: 0.5 -->
+    <exposure_time>0.5</exposure_time>
+    <!--  Brightness tolerance for target identification default is 30% -->
+    <tolerance>30</tolerance>
+    <!-- Dimensiton of the Acquisition window for FGS1, default: 128px -->
+    <FGS1_dim>128</FGS1_dim>
+    <!-- Dimensiton of the Acquisition window for FGS2, default: 162px -->
+    <FGS2_dim>162</FGS2_dim>
+    <!-- Limit of brightest sources to be considered in the source extraction. Default: 25-->
+    <target_limit>25</target_limit>
+    <!-- Signal Sigma Limit for Source extent check. Default: 1000. Possible cause for 107 error if set too high-->
+    <extension_sigma>1000</extension_sigma>
+  </Acquisition>
+
+  <!--  Relative path to the star catalogue -->
+  <Star_catalogue>./src/Star_catalogue.csv</Star_catalogue>
+
+  <!-- 	Flag indicating if images features shall be generated from existing files. 
+  	Only applicable for saved states-->
+  <use_saved_files>0</use_saved_files>
+
+  <flat>./flat_field.txt</flat>
+
+  <smear>./smear_kernel.txt</smear>
+
+  <ramp>./ramp_input.txt</ramp>
+
+  <previous_image>./previous_image.txt</previous_image>
+
+  <smear_x>0.0</smear_x>
+  <smear_y>0.0</smear_y>
+  
+  <centroid_x>0</centroid_x>
+  <centroid_y>0</centroid_y>
+  <centroid_time>0</centroid_time>
+  <centroid_valid>0</centroid_valid>
+  <centroid_index>0</centroid_index>
+  <centroid_mag>0</centroid_mag>
+  <centroid_send>0</centroid_send>
+
+</HFS_MetaInfo>
diff --git a/test/example.cpp b/test/example.cpp
index 75f300fcc81d97604efa9dff652a5b73c3e86656..c5c0f67f6284f10100993f85e68ac93cefdb177d 100644
--- a/test/example.cpp
+++ b/test/example.cpp
@@ -20,10 +20,10 @@ int main()
   /*The resuling measurement of the */
   double quat[4] = {0.8689485897529942 , 0.36411458356110155 , -0.3351849018145181, 0.0};
   double vel[3] = {0.0, 0.0, 0.0};
-
+  
   /*Initialise FGS simulator by calling constructor*/
   FGS fgs(real_path);
-
+  free(real_path);
   sum_x_acq = 0.;
   sum_y_acq = 0.;
   sum_x_tra = 0.;
@@ -71,7 +71,7 @@ int main()
   update.target_pos_y = 0;
     
   /*Set signal for target identification in ADU/s*/
-  update.validation_signal = 80000;
+  update.validation_signal = (unsigned int) 80000*0.655;
 
   /*Unit quaternion of the current SC attitude in reference to J2000*/
   update.position_quat[0] = quat[0];
@@ -89,6 +89,7 @@ int main()
   update.ang_rate[2] = 1;
 
   auto t1 = high_resolution_clock::now();
+  
   for(i = 0; i < 1000; i++)
   {
     /*time step equivilant to 64Hz sampling*/
@@ -96,7 +97,7 @@ int main()
       updated once the measurement packet was sent*/
     fgs.set_params(update, &outPacket);
     /*Print measurement if it changed*/
-    update.time = update.time + 0.015625;
+    update.time = update.time + 0.0125;
     if(time != outPacket.time)
     {
       time = outPacket.time;
@@ -106,6 +107,7 @@ int main()
       ctr_tra++;
     }
   }
+ 
 
   /*change mode*/
   std::cout << "###################################\n";
@@ -117,10 +119,10 @@ int main()
   /*Unit quaternion of the current SC attitude in reference to J2000*/
   update.position_quat[0] = quat[0];
 
-  for(i = 0; i < 10000; i++)
+  for(i = 0; i < 1000; i++)
   {
     fgs.set_params(update, &outPacket);
-    update.time = update.time + 0.015625;
+    update.time = update.time + 0.0125;
 
     if(time != outPacket.time)
     {
@@ -131,7 +133,9 @@ int main()
       ctr_acq++;
     }
   }
+
   /*Another mode change and centroids are set to invalid*/
+
   std::cout << "###################################\n";
   std::cout << "Mode Change Acquisition -> Tracking\n";
   std::cout << "Centroids set to invalid\n";
@@ -143,7 +147,7 @@ int main()
   for(i = 0; i < 1000; i++)
   {
     fgs.set_params(update, &outPacket);
-    update.time = update.time + 0.015625;
+    update.time = update.time + 0.0125;
 
     if(time != outPacket.time)
 	{
@@ -160,10 +164,11 @@ int main()
   update.mode = 0;
   update.set_invalid = 0;
 
+
   for(i = 0; i < 1000; i++)
   {
     fgs.set_params(update, &outPacket);
-    update.time = update.time + 0.015625; 
+    update.time = update.time + 0.0125; 
     if(time != outPacket.time)
     {
       time = outPacket.time;
@@ -181,9 +186,9 @@ int main()
   std::cout << "Sim is " << outPacket.time / (ms_double.count()/1000) << " times faster than real time!\n";
 
   std::cout << "Mean Measurement for Tracking: \n x: " << sum_x_tra/ctr_tra << "\n y: " << sum_y_tra/ctr_tra << "\n\n";
-  std::cout << "Tracking Reference Values: \n x: 626.992mas\n y: 434.458mas\n\n";
+  std::cout << "Tracking Reference Values: \n x: 450.99mas\n y: 252.362mas\n\n";
 
   std::cout << "Mean Measurement for Acquisition: \n x: " << sum_x_acq/ctr_acq << "\n y: " << sum_y_acq/ctr_acq << "\n\n";
-  std::cout << "Acquisition Reference Values: \n x: 797.934mas\n y: 435.655mas\n\n";
+  std::cout << "Acquisition Reference Values: \n x: 675.908mas\n y: 253.698mas\n\n";
 
 }