Commit f06d91d2 authored by Yan Zhaojun's avatar Yan Zhaojun
Browse files

update

parent 41940f8c
Pipeline #6971 failed with stage
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......@@ -238,21 +238,21 @@ class CDM03bidir():
#################################################################################
###modify
#sys.path.append('../so')
from .ifs_so import cdm03bidir
#from .ifs_so import cdm03bidir
try:
from ifs_so import cdm03bidir
from ifs_so import cdm03bidir
except:
from .ifs_so import cdm03bidir
from .ifs_so import cdm03bidir
# from ifs_so.cdm03.cpython-38-x86_64-linux-gnu import cdm03bidir
# import cdm03bidir
CTIed = cdm03bidir.cdm03(np.asfortranarray(data),
jflip, iflip,
self.values['dob'], self.values['rdose'],
self.nt_p, self.sigma_p, self.taur_p,
self.nt_s, self.sigma_s, self.taur_s,
params,
[data.shape[0], data.shape[1], len(self.nt_p), len(self.nt_s), len(self.params)])
jflip, iflip,
self.values['dob'], self.values['rdose'],
self.nt_p, self.sigma_p, self.taur_p,
self.nt_s, self.sigma_s, self.taur_s,
params,
[data.shape[0], data.shape[1], len(self.nt_p), len(self.nt_s), len(self.params)])
return np.asanyarray(CTIed)
......@@ -535,6 +535,14 @@ class cosmicrays():
:return: None
"""
if coveringFraction>1 or coveringFraction<0.1:
self.log.error(
'coveringFraction error, it shoub be in [0.1, 1]!')
raise ValueError(
'coveringFraction error, it shoub be in [0.1, 1]!')
self.cosmicrayMap = np.zeros((self.ysize, self.xsize))
#how many events to draw at once, too large number leads to exceeding the covering fraction
......@@ -2377,6 +2385,57 @@ class IFSsimulator():
"""
self.log.info('Added dark current to bule and red channel')
if self.information['dark1_b']>0.001 or self.information['dark1_b']>0.001:
self.log.error(
'dark1_b value error, it shoub be in [0.0001, 0.001]!')
raise ValueError(
'dark1_b value error, it shoub be in [0.0001, 0.001]!')
if self.information['dark2_b']>0.001 or self.information['dark2_b']>0.001:
self.log.error(
'dark2_b value error, it shoub be in [0.0001, 0.001]!')
raise ValueError(
'dark2_b value error, it shoub be in [0.0001, 0.001]!')
if self.information['dark3_b']>0.001 or self.information['dark3_b']>0.001:
self.log.error(
'dark3_b value error, it shoub be in [0.0001, 0.001]!')
raise ValueError(
'dark3_b value error, it shoub be in [0.0001, 0.001]!')
if self.information['dark4_b']>0.001 or self.information['dark4_b']>0.001:
self.log.error(
'dark4_b value error, it shoub be in [0.0001, 0.001]!')
raise ValueError(
'dark4_b value error, it shoub be in [0.0001, 0.001]!')
####################################################################
if self.information['dark1_r']>0.001 or self.information['dark1_r']>0.001:
self.log.error(
'dark1_r value error, it shoub be in [0.0001, 0.001]!')
raise ValueError(
'dark1_r value error, it shoub be in [0.0001, 0.001]!')
if self.information['dark2_r']>0.001 or self.information['dark2_r']>0.001:
self.log.error(
'dark2_r value error, it shoub be in [0.0001, 0.001]!')
raise ValueError(
'dark2_r value error, it shoub be in [0.0001, 0.001]!')
if self.information['dark3_r']>0.001 or self.information['dark3_r']>0.001:
self.log.error(
'dark3_r value error, it shoub be in [0.0001, 0.001]!')
raise ValueError(
'dark3_r value error, it shoub be in [0.0001, 0.001]!')
if self.information['dark4_r']>0.001 or self.information['dark4_r']>0.001:
self.log.error(
'dark4_r value error, it shoub be in [0.0001, 0.001]!')
raise ValueError(
'dark4_r value error, it shoub be in [0.0001, 0.001]!')
###########################################################################
# blue zone 4
self.image_b[0:1024, 0:2048] += self.information['exptime'] * \
......@@ -2597,6 +2656,59 @@ class IFSsimulator():
average=0.0 and std=readout noise.
"""
self.log.info('readnoise added in blue channel')
if self.information['rn1_b']>10 or self.information['rn1_b']<3:
self.log.error(
'rn1_b value error, it shoub be in [3, 10]!')
raise ValueError(
'rn1_b value error, it shoub be in [3, 10]!')
if self.information['rn2_b']>10 or self.information['rn2_b']<3:
self.log.error(
'rn2_b value error, it shoub be in [3, 10]!')
raise ValueError(
'rn2_b value error, it shoub be in [3, 10]!')
if self.information['rn3_b']>10 or self.information['rn3_b']<3:
self.log.error(
'rn3_b value error, it shoub be in [3, 10]!')
raise ValueError(
'rn3_b value error, it shoub be in [3, 10]!')
if self.information['rn4_b']>10 or self.information['rn4_b']<3:
self.log.error(
'rn4_b value error, it shoub be in [3, 10]!')
raise ValueError(
'rn4_b value error, it shoub be in [3, 10]!')
####################################################################
if self.information['rn1_r']>10 or self.information['rn1_r']<3:
self.log.error(
'rn1_r value error, it shoub be in [3, 10]!')
raise ValueError(
'rn1_r value error, it shoub be in [3, 10]!')
if self.information['rn2_r']>10 or self.information['rn2_r']<3:
self.log.error(
'rn2_r value error, it shoub be in [3, 10]!')
raise ValueError(
'rn2_r value error, it shoub be in [3, 10]!')
if self.information['rn3_r']>10 or self.information['rn3_r']<3:
self.log.error(
'rn3_r value error, it shoub be in [3, 10]!')
raise ValueError(
'rn3_r value error, it shoub be in [3, 10]!')
if self.information['rn4_r']>10 or self.information['rn4_r']<3:
self.log.error(
'rn4_r value error, it shoub be in [3, 10]!')
raise ValueError(
'rn4_r value error, it shoub be in [3, 10]!')
########################################################33
# blue zone 1
np.random.seed()
prescan = 50
......@@ -2715,6 +2827,56 @@ class IFSsimulator():
"""
Convert from electrons to ADUs using the value read from the configuration file.
"""
if self.information['gain1_b']>2 or self.information['gain1_b']<1:
self.log.error(
'gain1_b value error, it shoub be in [1, 2]!')
raise ValueError(
'gain1_b value error, it shoub be in [1, 2]!')
if self.information['gain2_b']>2 or self.information['gain2_b']<1:
self.log.error(
'gain2_b value error, it shoub be in [1, 2]!')
raise ValueError(
'gain2_b value error, it shoub be in [1, 2]!')
if self.information['gain3_b']>2 or self.information['gain3_b']<1:
self.log.error(
'gain3_b value error, it shoub be in [1, 2]!')
raise ValueError(
'gain3_b value error, it shoub be in [1, 2]!')
if self.information['gain4_b']>2 or self.information['gain4_b']<1:
self.log.error(
'gain4_b value error, it shoub be in [1, 2]!')
raise ValueError(
'gain4_b value error, it shoub be in [1, 2]!')
####################################################################
if self.information['gain1_r']>2 or self.information['gain1_r']<1:
self.log.error(
'gain1_r value error, it shoub be in [1, 2]!')
raise ValueError(
'gain1_r value error, it shoub be in [1, 2]!')
if self.information['gain2_r']>2 or self.information['gain2_r']<1:
self.log.error(
'gain2_r value error, it shoub be in [1, 2]!')
raise ValueError(
'gain2_r value error, it shoub be in [1, 2]!')
if self.information['gain3_r']>2 or self.information['gain3_r']<1:
self.log.error(
'gain3_r value error, it shoub be in [1, 2]!')
raise ValueError(
'gain3_r value error, it shoub be in [1, 2]!')
if self.information['gain4_r']>2 or self.information['gain4_r']<1:
self.log.error(
'gain4_r value error, it shoub be in [1, 2]!')
raise ValueError('gain4_r value error, it shoub be in [1, 2]!')
####################################################################
self.log.info(
'Converting from electrons to ADUs using a factor of gain')
......@@ -2762,8 +2924,60 @@ class IFSsimulator():
The value of bias is read from the configure file and stored
in the information dictionary (key bias).
"""
if self.information['bias1_b']>2000 or self.information['bias1_b']<100:
self.log.error(
'bias1_b value error, it shoub be in [100, 2000]!')
raise ValueError(
'bias1_b value error, it shoub be in [100, 2000]!')
if self.information['bias2_b']>2000 or self.information['bias2_b']<100:
self.log.error(
'bias2_b value error, it shoub be in [100, 2000]!')
raise ValueError(
'bias2_b value error, it shoub be in [100, 2000]!')
if self.information['bias3_b']>2000 or self.information['bias3_b']<100:
self.log.error(
'bias3_b value error, it shoub be in [100, 2000]!')
raise ValueError(
'bias3_b value error, it shoub be in [100, 2000]!')
if self.information['bias4_b']>2000 or self.information['bias4_b']<100:
self.log.error(
'bias4_b value error, it shoub be in [100, 2000]!')
raise ValueError(
'bias4_b value error, it shoub be in [100, 2000]!')
####################################################################
if self.information['bias1_r']>2000 or self.information['bias1_r']<100:
self.log.error(
'bias1_r value error, it shoub be in [100, 2000]!')
raise ValueError(
'bias1_r value error, it shoub be in [100, 2000]!')
if self.information['bias2_r']>2000 or self.information['bias2_r']<100:
self.log.error(
'bias2_r value error, it shoub be in [100, 2000]!')
raise ValueError(
'bias2_r value error, it shoub be in [100, 2000]!')
if self.information['bias3_r']>2000 or self.information['bias3_r']<100:
self.log.error(
'bias3_r value error, it shoub be in [100, 2000]!')
raise ValueError(
'bias3_r value error, it shoub be in [100, 2000]!')
if self.information['bias4_r']>2000 or self.information['bias4_r']<100:
self.log.error(
'bias4_r value error, it shoub be in [100, 2000]!')
raise ValueError(
'bias4_r value error, it shoub be in [100, 2000]!')
########################################################################
# blue zone 4
self.image_b[0:1344, 0:2418] += self.information['bias4_b']
......@@ -5479,6 +5693,12 @@ class IFSsimulator():
self.debug = self.information['debug']
self.dt = datetime.utcnow()
if self.information['exptime']>2000 or self.information['exptime']<0:
self.log.error(
'exptime value error, it shoub be in [0, 2000]!')
exit(2)
if self.source == 'SCI' or self.source == 'COMP':
......@@ -5624,7 +5844,7 @@ class IFSsimulator():
else:
print('Souce is not correct and programe will return')
exit(1)
raise ValueError('Souce is not correct and programe will return')
###############################################################################
# save the original image firstly;
self.image_b_ori = self.image_b+10.0
......
......@@ -13,6 +13,8 @@ import unittest
import os
from csst_ifs_sim import csst_ifs_sim
sys.path.append('IFS_git/csst_ifs_sim/csst_ifs_sim')
import sys
class TestDemoFunction(unittest.TestCase):
......
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