Commit 7446de7f authored by Yan Zhaojun's avatar Yan Zhaojun
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"""
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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