Delete MCIinstrumentModel.py

"""

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()