From 7446de7f1b1316c3a66802b604ce1fc255cc111b Mon Sep 17 00:00:00 2001
From: Yan Zhaojun <zhaojunyan@shao.ac.cn>
Date: Fri, 25 Oct 2024 06:21:55 +0000
Subject: [PATCH] Upload New File

---
 csst_mci_sim/support/MCIinstrumentModel.py | 68 ++++++++++++++++++++++
 1 file changed, 68 insertions(+)
 create mode 100644 csst_mci_sim/support/MCIinstrumentModel.py

diff --git a/csst_mci_sim/support/MCIinstrumentModel.py b/csst_mci_sim/support/MCIinstrumentModel.py
new file mode 100644
index 0000000..31b10f1
--- /dev/null
+++ b/csst_mci_sim/support/MCIinstrumentModel.py
@@ -0,0 +1,68 @@
+"""
+VIS Instrument Model
+====================
+
+The file provides a function that returns VIS related information such as pixel
+size, dark current, gain, zeropoint, and sky background.
+
+:requires: NumPy
+:requires: numexpr
+
+:version: 0.7
+"""
+# import matplotlib
+# import matplotlib.pyplot as plt
+# import datetime, math
+# import numpy as np
+# import numexpr as ne
+
+
+def MCIinformation():
+    """
+    Returns a dictionary describing MCI CCD. The following information is provided (id: value - reference)::
+
+
+         dob: 0 - CDM03 (Short et al. 2010)
+         fwc: 90000 - CCD spec EUCL-EST-RS-6-002 (for CDM03)      
+         rdose: 30000000000.0 - derived (above the PLM requirement)
+         sfwc: 730000.0 - CDM03 (Short et al. 2010), see also the CCD spec EUCL-EST-RS-6-002       
+         st: 5e-06 - CDM03 (Short et al. 2010)        
+         svg: 1e-10 - CDM03 (Short et al. 2010)
+         t: 0.01024 - CDM03 (Short et al. 2010)
+         trapfile: cdm_euclid.dat - CDM03 (derived, refitted to CCD204 data)
+         vg: 6e-11 - CDM03 (Short et al. 2010)
+         vth: 11680000.0 - CDM03 (Short et al. 2010)
+
+
+
+    :return: instrument model parameters
+    :rtype: dict
+    """
+
+    #########################################################################################################
+    out = dict()
+    out.update({'dob': 0, 'rdose': 8.0e9,
+                'parallelTrapfile': 'cdm_euclid_parallel.dat', 'serialTrapfile': 'cdm_euclid_serial.dat',
+                'beta_s': 0.6, 'beta_p': 0.6, 'fwc': 90000, 'vth': 1.168e7, 't': 20.48e-3, 'vg': 6.e-11,
+                'st': 5.0e-6, 'sfwc': 730000., 'svg': 1.0e-10})
+
+    return out
+
+
+# def CCDnonLinearityModel(data, beta=6e-7):
+#     """
+
+#     The non-linearity is modelled based on the results presented.
+#     :param data: data to which the non-linearity model is being applied to
+#     :type data: ndarray
+
+#     :return: input data after conversion with the non-linearity model
+#     :rtype: float or ndarray
+#     """
+#     out = data-beta*data**2
+
+#     return out
+###################################################################
+
+# if __name__ == '__main__':
+#     print()
-- 
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