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Commit 166b2769 authored by Yan Zhaojun's avatar Yan Zhaojun
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csst_mci_sim/support/cosmicrays.py
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......@@ -42,7 +42,6 @@ class cosmicrays():
:param information: cosmic ray track information (file containing track length and energy information) and
exposure time.
"""
#setup logger
self.exptime=exptime
......@@ -52,31 +51,13 @@ class cosmicrays():
self.image = image.copy()
self.ysize, self.xsize = self.image.shape
#set up the information dictionary, first with defaults and then overwrite with inputs if given
# self.information = (dict(cosmicraylengths='/home/yan/csst-master/data/cdf_cr_length.dat',
# cosmicraydistance='/home/yan/csst-master/data/cdf_cr_total.dat',
# exptime=565))
# if information is not None:
# self.information.update(information)
if crInfo is not None:
self.cr = crInfo
else:
self._readCosmicrayInformation()
# def _readCosmicrayInformation(self):
# self.log.info('Reading in cosmic ray information from %s and %s' % (self.information['cosmicraylengths'],
# self.information['cosmicraydistance']))
# #read in the information from the files
# crLengths = np.loadtxt(self.information['cosmicraylengths'])
# crDists = np.loadtxt(self.information['cosmicraydistance'])
# #set up the cosmic ray information dictionary
# self.cr = dict(cr_u=crLengths[:, 0], cr_cdf=crLengths[:, 1], cr_cdfn=np.shape(crLengths)[0],
# cr_v=crDists[:, 0], cr_cde=crDists[:, 1], cr_cden=np.shape(crDists)[0])
# return self.cr
##################################################
def _cosmicRayIntercepts(self, lum, x0, y0, l, phi):
......@@ -198,113 +179,7 @@ class cosmicrays():
return crImage
# def _drawCosmicRays(self, limit=None):
# """
# Add cosmic rays to the arrays based on a power-law intensity distribution for tracks.
# Cosmic ray properties (such as location and angle) are chosen from random Uniform distribution.
# """
# #estimate the number of cosmics
# cr_n = self.xsize * self.ysize * 0.014 / 43.263316 * 2.
# #scale with exposure time, the above numbers are for the nominal 565s exposure
# cr_n *= (self.information['exptime'] / 565.0)
# #assume a power-law intensity distribution for tracks
# fit = dict(cr_lo=1.0e3, cr_hi=1.0e5, cr_q=2.0e0)
# fit['q1'] = 1.0e0 - fit['cr_q']
# fit['en1'] = fit['cr_lo'] ** fit['q1']
# fit['en2'] = fit['cr_hi'] ** fit['q1']
# #pseudo-random numbers taken from a uniform distribution between 0 and 1
# np.random.seed()
# luck = np.random.rand(int(np.floor(cr_n)))
# #draw the length of the tracks
# if self.cr['cr_cdfn'] > 1:
# ius = InterpolatedUnivariateSpline(self.cr['cr_cdf'], self.cr['cr_u'])
# self.cr['cr_l'] = ius(luck)
# else:
# self.cr['cr_l'] = np.sqrt(1.0 - luck ** 2) / luck
# #draw the energy of the tracks
# if self.cr['cr_cden'] > 1:
# ius = InterpolatedUnivariateSpline(self.cr['cr_cde'], self.cr['cr_v'])
# self.cr['cr_e'] = ius(luck)
# else:
# np.random.seed()
# self.cr['cr_e'] = (fit['en1'] + (fit['en2'] - fit['en1']) *
# np.random.rand(int(np.floor(cr_n)))) ** (1.0 / fit['q1'])
# #Choose the properties such as positions and an angle from a random Uniform dist
# np.random.seed()
# cr_x = self.xsize * np.random.rand(int(np.floor(cr_n)))
# np.random.seed()
# cr_y = self.ysize * np.random.rand(int(np.floor(cr_n)))
# np.random.seed()
# cr_phi = np.pi * np.random.rand(int(np.floor(cr_n)))
# #find the intercepts
# if limit is None:
# self.cosmicrayMap = self._cosmicRayIntercepts(self.cr['cr_e'], cr_x, cr_y, self.cr['cr_l'], cr_phi)
# print ('Number of cosmic ray events:', len(self.cr['cr_e']))
# else:
# #limit to electron levels < limit
# msk = self.cr['cr_e'] < limit
# print ('Number of cosmic ray events: %i / %i' % (len(self.cr['cr_e'][msk]), int(np.floor(cr_n))))
# self.cosmicrayMap = self._cosmicRayIntercepts(self.cr['cr_e'][msk], cr_x[msk], cr_y[msk],
# self.cr['cr_l'][msk], cr_phi[msk])
# #count the covering factor
# area_cr = np.count_nonzero(self.cosmicrayMap)
# text = 'The cosmic ray covering factor is %i pixels i.e. %.3f per cent' \
# % (area_cr, 100.*area_cr / (self.xsize*self.ysize))
# self.log.info(text)
# print (text)
# def _drawSingleEvent(self, limit=1000, cr_n=1):
# """
# Generate a single cosmic ray event and include it to a cosmic ray map (self.cosmicrayMap).
# :param limit: limiting energy for the cosmic ray event
# :type limit: float
# :param cr_n: number of cosmic ray events to include
# :type cr_n: int
# :return: None
# """
# #pseudo-random numbers taken from a uniform distribution between 0 and 1
# np.random.seed()
# luck = np.random.rand(cr_n)
# #draw the length of the tracks
# ius = InterpolatedUnivariateSpline(self.cr['cr_cdf'], self.cr['cr_u'])
# self.cr['cr_l'] = ius(luck)
# #set the energy directly to the limit
# self.cr['cr_e'] = np.asarray([limit, ]*cr_n)
# #Choose the properties such as positions and an angle from a random Uniform dist
# np.random.seed()
# cr_x = self.xsize * np.random.rand(int(np.floor(cr_n)))
# np.random.seed()
# cr_y = self.ysize * np.random.rand(int(np.floor(cr_n)))
# np.random.seed()
# cr_phi = np.pi * np.random.rand(int(np.floor(cr_n)))
# #find the intercepts
# self.cosmicrayMap = self._cosmicRayIntercepts(self.cr['cr_e'], cr_x, cr_y, self.cr['cr_l'], cr_phi)
# #count the covering factor
# area_cr = np.count_nonzero(self.cosmicrayMap)
# text = 'The cosmic ray covering factor is %i pixels i.e. %.3f per cent' \
# % (area_cr, 100.*area_cr / (self.xsize*self.ysize))
# self.log.info(text)
# print( text)
############################################################################
def _drawEventsToCoveringFactor(self, coveringFraction=3.0, limit=1000, verbose=False):
......@@ -361,42 +236,10 @@ class cosmicrays():
area_cr = np.count_nonzero(self.cosmicrayMap)
covering = 100.*area_cr / (self.xsize*self.ysize)
text = 'The cosmic ray covering factor is %i pixels i.e. %.3f per cent' % (area_cr, covering)
self.log.info(text)
# if verbose:
# print( text)
# def addCosmicRays(self, limit=None):
# """
# Include cosmic rays to the image given.
# :return: image with cosmic rays
# :rtype: ndarray
# """
# self._drawCosmicRays(limit=limit)
# #paste cosmic rays
# self.image += self.cosmicrayMap
# return self.image
# def addSingleEvent(self, limit=None):
# """
# Include a single cosmic ray event to the image given.
# :return: image with cosmic rays
# :rtype: ndarray
# """
# self._drawSingleEvent(limit=limit)
# #paste cosmic rays
# self.image += self.cosmicrayMap
# return self.image
# text = 'The cosmic ray covering factor is %i pixels i.e. %.3f per cent' % (area_cr, covering)
# self.log.info(text)
###################################################33
def addUpToFraction(self, coveringFraction, limit=None, verbose=False):
"""
......@@ -420,8 +263,5 @@ class cosmicrays():
return self.image
# if __name__ == "__main__":
# print()
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