From 471e6c0b964af3942a43d2db6ebcdb48fe755a50 Mon Sep 17 00:00:00 2001
From: yan <zhaojunyan@shao.ac.cn>
Date: Mon, 23 Dec 2024 17:09:48 +0800
Subject: [PATCH] update

---
 .../__pycache__/csst_ifs_sim.cpython-311.pyc  | Bin 0 -> 219332 bytes
 csst_ifs_sim/csst_ifs_sim.py                  | 320 +++++-------------
 .../__pycache__/__init__.cpython-311.pyc      | Bin 0 -> 187 bytes
 3 files changed, 84 insertions(+), 236 deletions(-)
 create mode 100644 csst_ifs_sim/__pycache__/csst_ifs_sim.cpython-311.pyc
 create mode 100644 csst_ifs_sim/ifs_so/__pycache__/__init__.cpython-311.pyc

diff --git a/csst_ifs_sim/__pycache__/csst_ifs_sim.cpython-311.pyc b/csst_ifs_sim/__pycache__/csst_ifs_sim.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..91b212bc336160a41aafd2ec8a3ae7b80241f375
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F{SUZYI{N?s

literal 0
HcmV?d00001

diff --git a/csst_ifs_sim/csst_ifs_sim.py b/csst_ifs_sim/csst_ifs_sim.py
index a6842cb..3115c36 100644
--- a/csst_ifs_sim/csst_ifs_sim.py
+++ b/csst_ifs_sim/csst_ifs_sim.py
@@ -138,7 +138,7 @@ class CDM03bidir():
 
         # read in trap information
         trapdata = np.loadtxt(
-            self.values['dir_path']+self.values['paralleltrapfile'])
+            os.path.join(self.values['dir_path'],self.values['paralleltrapfile']))
         if trapdata.ndim > 1:
             self.nt_p = trapdata[:, 0]
             self.sigma_p = trapdata[:, 1]
@@ -150,7 +150,7 @@ class CDM03bidir():
             self.taur_p = [trapdata[2],]
 
         trapdata = np.loadtxt(
-            self.values['dir_path']+self.values['serialtrapfile'])
+            os.path.join(self.values['dir_path'],self.values['serialtrapfile']))
         if trapdata.ndim > 1:
             self.nt_s = trapdata[:, 0]
             self.sigma_s = trapdata[:, 1]
@@ -261,10 +261,7 @@ class CDM03bidir():
         return np.asanyarray(CTIed)
 
 #################################################################################################################
-
 #################################################################################################################
-
-
 """
 These functions can be used for logging information.
 
@@ -272,8 +269,6 @@ These functions can be used for logging information.
 
 :version: 0.3
 """
-
-
 def lg(log_filename, loggername='logger'):
     """
     Sets up a logger.
@@ -302,8 +297,6 @@ def lg(log_filename, loggername='logger'):
     logger.addHandler(handler)
 
     return logger
-
-
 ##############################################################################
 
 def IFSinformation():
@@ -658,7 +651,7 @@ def ill2flux(path, E):
     """
 
     # use template from sky_bkg (background_spec_hst.dat)
-    filename = path+'IFS_inputdata/refs/background_spec_hst.dat'
+    filename = os.path.join(path,'IFS_inputdata/refs/background_spec_hst.dat')
     cat_spec = pd.read_csv(filename, sep='\\s+', header=None, comment='#')
     wave0 = cat_spec[0].values       # A
     spec0 = cat_spec[2].values      # erg/s/cm^2/A/arcsec^2
@@ -752,7 +745,7 @@ class StrayLight(object):
         self.ecliptic = self.equator.transform_to('barycentrictrueecliptic')
         self.pointing = transRaDec2D(radec[0], radec[1])
         self.slcdll = ctypes.CDLL(
-            self.path+'IFS_inputdata/refs/libstraylight.so')  # dylib
+            os.path.join(self.path,'IFS_inputdata/refs/libstraylight.so'))  # dylib
 
         self.slcdll.Calculate.argtypes = [ctypes.c_double, ctypes.POINTER(ctypes.c_double),
                                           ctypes.POINTER(ctypes.c_double), ctypes.POINTER(
@@ -775,11 +768,11 @@ class StrayLight(object):
                                          ctypes.POINTER(ctypes.c_double)]
         self.slcdll.Init.argtypes = [
             ctypes.c_char_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.c_char_p]
-        self.deFn = self.path+"IFS_inputdata/refs/DE405"
-        self.PSTFn = self.path+"IFS_inputdata/refs/PST"
-        self.RFn = self.path + "IFS_inputdata/refs/R"
-        self.ZolFn = self.path+"IFS_inputdata/refs/Zodiacal"
-        self.brightStarTabFn = self.path+"IFS_inputdata/refs/BrightGaia_with_csst_mag"
+        self.deFn  = os.path.join(self.path,"IFS_inputdata/refs/DE405")
+        self.PSTFn = os.path.join(self.path,"IFS_inputdata/refs/PST")
+        self.RFn   = os.path.join(self.path,"IFS_inputdata/refs/R")
+        self.ZolFn = os.path.join(self.path,"IFS_inputdata/refs/Zodiacal")
+        self.brightStarTabFn = os.path.join(self.path,"IFS_inputdata/refs/BrightGaia_with_csst_mag")
 
         self.slcdll.Init(str.encode(self.deFn), str.encode(
             self.PSTFn), str.encode(self.RFn), str.encode(self.ZolFn))
@@ -1865,9 +1858,6 @@ class IFSsimulator():
         # get solar position
         dt = datetime.fromisoformat(time)
         jd = time2jd(dt)
-#
-#
-#
         # # jd = julian.to_jd(dt, fmt='jd')
 
         t = Time(jd, format='jd', scale='utc')
@@ -1888,7 +1878,7 @@ class IFSsimulator():
 
         # interpolated zodical surface brightness at 0.5 um
         zodi = pd.read_csv(
-            self.information['dir_path']+'IFS_inputdata/refs/zodi_map.dat', sep='\\s+', header=None, comment='#')
+            os.path.join(self.information['dir_path'],'IFS_inputdata/refs/zodi_map.dat'), sep='\\s+', header=None, comment='#')
         beta_angle = np.array([0, 5, 10, 15, 20, 25, 30, 45, 60, 75])
         lamda_angle = np.array([0, 5, 10, 15, 20, 25, 30, 35, 40, 45,
                                 60, 75, 90, 105, 120, 135, 150, 165, 180])
@@ -1902,7 +1892,7 @@ class IFSsimulator():
 
         # read the zodical spectrum in the ecliptic
         cat_spec = pd.read_csv(
-            self.information['dir_path']+'IFS_inputdata/refs/solar_spec.dat', sep='\\s+', header=None, comment='#')
+            os.path.join(self.information['dir_path'],'IFS_inputdata/refs/solar_spec.dat'), sep='\\s+', header=None, comment='#')
         wave = cat_spec[0].values       # A
         spec0 = cat_spec[1].values      #
         zodi_norm = 252                 #
@@ -1922,42 +1912,6 @@ class IFSsimulator():
 
         return wave_A, spec_erg2
     ##########################################################################
-
-    # def smoothingWithChargeDiffusion(self, image, sigma=(0.32, 0.32)):
-    #     """
-
-    #     Parameters
-    #     ----------
-    #     image : TYPE
-    #         DESCRIPTION.
-    #     sigma : TYPE, optional
-    #         DESCRIPTION. The default is (0.32, 0.32).
-
-    #     Returns
-    #     -------
-    #     TYPE
-    #         DESCRIPTION.
-
-    #     """
-    #     """
-    #     Smooths a given image with a gaussian kernel with widths given as sigmas.
-    #     This smoothing can be used to mimic charge diffusion within the CCD.
-
-    #     The default values are from Table 8-2 of CCD_273_Euclid_secification_1.0.130812.pdf converted
-    #     to sigmas (FWHM / (2sqrt(2ln2)) and rounded up to the second decimal.
-
-    #     .. Note:: This method should not be called for the full image if the charge spreading
-    #               has already been taken into account in the system PSF to avoid double counting.
-
-    #     :param image: image array which is smoothed with the kernel
-    #     :type image: ndarray
-    #     :param sigma: widths of the gaussian kernel that approximates the charge diffusion [0.32, 0.32].
-    #     :param sigma: tuple
-
-    #     :return: smoothed image array
-    #     :rtype: ndarray
-    #     """
-    #     return ndimage.filters.gaussian_filter(image, sigma)
 ###############################################################################
 
     def readCosmicRayInformation(self):
@@ -1979,9 +1933,9 @@ class IFSsimulator():
         # print(self.information)
 
         crLengths = np.loadtxt(
-            self.information['dir_path']+self.information['cosmicraylengths'])
+            os.path.join(self.information['dir_path'],self.information['cosmicraylengths']))
         crDists = np.loadtxt(
-            self.information['dir_path']+self.information['cosmicraydistance'])
+            os.path.join(self.information['dir_path'],self.information['cosmicraydistance']))
 
         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])
@@ -2038,31 +1992,21 @@ class IFSsimulator():
         else:
             ss = '_'
 
-        # if self.information['dir_path'] == '/nfsdata/share/simulation-unittest/ifs_sim/':
-        #     self.result_path = self.information['dir_path'] + \
-        #         self.information['result_path']+'/'+self.source+ss+result_day
-        # else:
-
-        #     home_path = os.environ['HOME']
 
-        #     if home_path == '/home/yan':
-
-        #         self.result_path = '../IFS_simData/'+self.source+ss+result_day
-        #     else:
-        #         self.result_path = '/data/ifspip/CCD_ima/'+self.source+ss+result_day
-
-        self.result_path = self.information['result_path'] + \
-            '/'+self.source+ss+result_day
-        print(self.information['result_path'])
+        ### create result father path;
+        if os.path.isdir(self.information['result_path']) is False:
+            os.mkdir(self.information['result_path'])
+        self.result_path=os.path.join(self.information['result_path'], self.source+ss+result_day)
+        print(self.result_path)
 
         if os.path.isdir(self.result_path) is False:
             os.mkdir(self.result_path)
-            os.mkdir(self.result_path+'/calibration_Data')
-            os.mkdir(self.result_path+'/log_file')
-            os.mkdir(self.result_path+'/original_Calibration')
-            os.mkdir(self.result_path+'/original_sky')
-            os.mkdir(self.result_path+'/shift_rot_sky')
-            os.mkdir(self.result_path+'/sky_Data')
+            os.mkdir(os.path.join(self.result_path,'calibration_Data'))
+            os.mkdir(os.path.join(self.result_path,'log_file'))
+            os.mkdir(os.path.join(self.result_path,'original_Calibration'))
+            os.mkdir(os.path.join(self.result_path,'original_sky'))
+            os.mkdir(os.path.join(self.result_path,'shift_rot_sky'))
+            os.mkdir(os.path.join(self.result_path,'sky_Data'))
 
         ##############################################################################
         now = datetime.utcnow()
@@ -2070,8 +2014,8 @@ class IFSsimulator():
         data_time = now.strftime("%Y-%m-%d-%H-%M-%S")
         ############################################################
 
-        self.log = lg(self.result_path+'/log_file/IFS_' +
-                      self.source+'_'+data_time+'_Num_'+str(simnumber)+'.log')
+        self.log = lg(os.path.join(self.result_path,'log_file/IFS_' +
+                      self.source+'_'+data_time+'_Num_'+str(simnumber)+'.log'))
 
         self.log.info('STARTING A NEW SIMULATION')
 
@@ -2092,7 +2036,7 @@ class IFSsimulator():
         self.HgArsigma = self.light_FWHM/2.35  # sigma value of the light source
 
         # load system optical and CCD efficiency data
-        matfn0 = self.information['dir_path']+'IFS_inputdata/TotalQ200923.mat'
+        matfn0 = os.path.join(self.information['dir_path'],'IFS_inputdata/TotalQ200923.mat')
         self.log.info('Optical optical efficiency file path is: %s' % (matfn0))
         da0 = sio.loadmat(matfn0)
         # optical efficiency of blue channel
@@ -2103,7 +2047,7 @@ class IFSsimulator():
 
         # load all useful data;
         # load wavefront data;
-        matfn2 = self.information['dir_path']+'IFS_inputdata/opd/opd_638nm.mat'
+        matfn2 = os.path.join(self.information['dir_path'],'IFS_inputdata/opd/opd_638nm.mat')
         self.log.info('OPD0 file path is: %s' % (matfn2))
         da2 = sio.loadmat(matfn2)
         opd0 = da2['opd']  # opd unit is in meter
@@ -2111,17 +2055,17 @@ class IFSsimulator():
         self.pupil = abs(opd0) > 0.0
 
         ####################
-        matfn2 = self.information['dir_path']+'IFS_inputdata/opd/opd1.fits'
+        matfn2 = os.path.join(self.information['dir_path'],'IFS_inputdata/opd/opd1.fits')
         da = fits.open(matfn2)
         self.opd1 = da[0].data
         self.log.info('OPD1 file path is: %s' % (matfn2))
 
-        matfn2 = self.information['dir_path']+'IFS_inputdata/opd/opd2.fits'
+        matfn2 = os.path.join(self.information['dir_path'],'IFS_inputdata/opd/opd2.fits')
         self.log.info('OPD2 file path is: %s' % (matfn2))
         da = fits.open(matfn2)
         self.opd2 = da[0].data
 
-        matfn2 = self.information['dir_path']+'IFS_inputdata/opd/opd3.fits'
+        matfn2 = os.path.join(self.information['dir_path'],'IFS_inputdata/opd/opd3.fits')
         self.log.info('OPD3 file path is: %s' % (matfn2))
         da = fits.open(matfn2)
         self.opd3 = da[0].data
@@ -2424,50 +2368,50 @@ 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:
+        if self.information['dark1_b'] < 0.0001 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:
+        if self.information['dark2_b'] < 0.0001 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:
+        if self.information['dark3_b'] < 0.0001 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:
+        if self.information['dark4_b'] < 0.0001 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:
+        if self.information['dark1_r'] < 0.0001 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:
+        if self.information['dark2_r'] < 0.0001 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:
+        if self.information['dark3_r'] < 0.0001 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:
+        if self.information['dark4_r'] < 0.0001 or self.information['dark4_r'] > 0.001:
             self.log.error(
                 'dark4_r value error, it shoub be in [0.0001, 0.001]!')
             raise ValueError(
@@ -2558,7 +2502,7 @@ class IFSsimulator():
         Warning:: This method does not work if the input file has exactly one line.
         """
         cosmetics = np.loadtxt(
-            self.information['dir_path']+self.information['cosmeticsfile_b'])
+            os.path.join(self.information['dir_path'],self.information['cosmeticsfile_b']))
         self.log.info('cosmeticsfile_b path is: %s' %
                       (self.information['cosmeticsfile_b']))
 
@@ -2582,7 +2526,7 @@ class IFSsimulator():
 #############################################################################
 
         cosmetics = np.loadtxt(
-            self.information['dir_path']+self.information['cosmeticsfile_r'])
+            os.path.join(self.information['dir_path'],self.information['cosmeticsfile_r']))
 
         self.log.info('cosmeticsfile_r path is: %s' %
                       (self.information['cosmeticsfile_r']))
@@ -3257,48 +3201,7 @@ class IFSsimulator():
         self.log.info('Maximum and total values of the image are %i and %i, respectively' % (np.max(self.image_r),
                                                                                              np.sum(self.image_r)))
 # ############################################################################
-    # def applyImageShift(self):
-    #     """
-    #     Returns
-    #     -------
-    #     None.
-    #     """
-    #     np.random.seed(9*self.simnumber)
-    #     ud = np.random.random()   # Choose a random rotation
-    #     dx = 2 * (ud-0.5) * self.information['shiftmax']
-    #     np.random.seed(99*self.simnumber)
-    #     ud = np.random.random()   # Choose a random rotation
-    #     dy = 2 * (ud-0.5) * self.information['shiftmax']
-    #     self.image_b = ndimage.shift(self.image_b.copy(), [
-    #                                  dy+self.information['shift_b_y'], dx+self.information['shift_b_x']], order=0, mode='nearest')
-    #     self.image_r = ndimage.shift(self.image_r.copy(), [
-    #                                  dy+self.information['shift_r_y'], dx+self.information['shift_r_x']], order=0, mode='nearest')
-    #     self.log.info('Applied image shifting to g r i channels.')
-    #     self.information['ra'] = dx*self.information['pixel_size']
-    #     self.information['dec'] = dy*self.information['pixel_size']
-##############################################################################
-    # def applyImageRotate(self):
-    #     """
-    #     Returns
-    #     -------
-    #     None.
-    #     """
-    #     np.random.seed(10*self.simnumber)
-    #     ud = np.random.random()   # Choose a random rotation
-    #     angle = 2 * (ud-0.5) * self.information['tel_rotmax']
-    #     inputimg = self.image_b.copy()
-    #     # here we choose reshape=False, the rotated image will
-    #     rotimg = ndimage.rotate(
-    #         inputimg, angle+self.information['rotate_b'], order=1, reshape=False)
-    #     self.image_b = rotimg
-    #     inputimg = self.image_r.copy()
-    #     # here we choose reshape=False, the rotated image will
-    #     rotimg = ndimage.rotate(
-    #         inputimg, angle+self.information['rotate_r'], order=1, reshape=False)
-    #     self.image_r = rotimg
-    #     self.information['Tel_rot'] = angle
-    #     self.log.info(
-    #         'Applied telescope rotation with angle (in degree)= %f.', angle)
+
 ###############################################################################
 
     def CCDreadout(self):
@@ -3518,6 +3421,7 @@ class IFSsimulator():
 
             filename_b = 'CSST_IFS_B_'+self.source+'_'+exp_start_str + \
                 '_'+exp_end_str+'_'+str(obsid)+'_B_L0_V'+sim_ver
+                
             self.file_b = self.result_path+'/sky_Data/'+filename_b+'.fits'
 
             filename_r = 'CSST_IFS_R_'+self.source+'_'+exp_start_str + \
@@ -3537,11 +3441,11 @@ class IFSsimulator():
 
             filename_b = 'CSST_IFS_B_'+self.source+'_'+exp_start_str + \
                 '_'+exp_end_str+'_'+str(obsid)+'_B_L0_V'+sim_ver
-            self.file_b = self.result_path+'/calibration_Data/'+filename_b+'.fits'
+            self.file_b = os.path.join(self.result_path,'calibration_Data/'+filename_b+'.fits')
 
             filename_r = 'CSST_IFS_R_'+self.source+'_'+exp_start_str + \
                 '_'+exp_end_str+'_'+str(obsid)+'_R_L0_V'+sim_ver
-            self.file_r = self.result_path+'/calibration_Data/'+filename_r+'.fits'
+            self.file_r = os.path.join(self.result_path,'calibration_Data/'+filename_r+'.fits')
 
         # create a new FITS file, using HDUList instance
         # #### layer 0  ####
@@ -3566,7 +3470,7 @@ class IFSsimulator():
             'ICRS',   'coordinate system of the object')
         ofd_b.header['EQUINOX'] = (float(2000.0),   '')
         ofd_b.header['FITSSWV'] = (
-            'ifs_sim_0.8.03',   'FITS creating software version')
+            'csst_ifs_sim_3.0.0',   'FITS creating software version')
         # ########   Object information  #############
         if self.source == 'SCI' or self.source == 'COMP':
             ofd_b.header['OBJECT'] = (
@@ -3933,7 +3837,7 @@ class IFSsimulator():
 
         ofd_r.header['EQUINOX'] = (float(2000.0),   '')
         ofd_r.header['FITSSWV'] = (
-            'ifs_sim_0.8.03',   'FITS creating software version')
+            'csst_ifs_sim_3.0.0',   'FITS creating software version')
 
         # ########   Object information  #############
         if self.source == 'SCI' or self.source == 'COMP':
@@ -4377,19 +4281,19 @@ class IFSsimulator():
         """
 
         # read solar template
-        solar_template = pd.read_csv(self.information['dir_path']+'IFS_inputdata/refs/solar_spec.dat', sep='\\s+',
+        solar_template = pd.read_csv(os.path.join(self.information['dir_path'],'IFS_inputdata/refs/solar_spec.dat'), sep='\\s+',
                                      header=None, comment='#')
         template_wave = solar_template[0].values
         template_flux = solar_template[1].values
 
         # read earth shine surface brightness
-        earthshine_curve = pd.read_csv(self.information['dir_path']+'IFS_inputdata/refs/earthshine.dat',
+        earthshine_curve = pd.read_csv(os.path.join(self.information['dir_path'],'IFS_inputdata/refs/earthshine.dat'),
                                        header=None, comment='#')
         angle = earthshine_curve[0].values
         surface_brightness = earthshine_curve[1].values
 
         # read V-band throughtput
-        cat_filter_V = pd.read_csv(self.information['dir_path']+'IFS_inputdata/refs/filter_Bessell_V.dat', sep='\\s+',
+        cat_filter_V = pd.read_csv(os.path.join(self.information['dir_path'],'IFS_inputdata/refs/filter_Bessell_V.dat'), sep='\\s+',
                                    header=None, comment='#')
         filter_wave = cat_filter_V[0].values
         filter_response = cat_filter_V[1].values
@@ -4507,23 +4411,21 @@ class IFSsimulator():
         ################################################################
         # ########
         # #### load slicer_Qe1K.fits  ####
-        slicerfile = self.information['dir_path'] + \
-            'IFS_inputdata/Flatfield/slicer_QE_1K_230625.fits'
+        slicerfile = os.path.join(self.information['dir_path'],'IFS_inputdata/Flatfield/slicer_QE_1K_230625.fits')
         da = fits.open(slicerfile)
         self.log.info('hole Sim and slicer 1K QE file:%s' % (slicerfile))
         slicer_Qe = da[0].data
 
         # #### load hole mask ######
         # load hole mask matrix
-        file = self.information['dir_path'] + \
-            'IFS_inputdata/Hole/holemask_230612.fits'
+        file = os.path.join(self.information['dir_path'], 'IFS_inputdata/Hole/holemask_230612.fits')
         self.log.info('hole mask file is %s' % (file))
         da = fits.open(file)
         HoleMask = da[self.simnumber].data
 
         # load HgAr data;
 
-        matfn3 = self.information['dir_path']+'IFS_inputdata/HgAr.mat'
+        matfn3 = os.path.join(self.information['dir_path'],'IFS_inputdata/HgAr.mat')
         self.log.info('lamp flux file is : %s' % (matfn3))
         da3 = sio.loadmat(matfn3)
         HgArst = da3['HgArst']  # opd unit is in meter
@@ -4772,10 +4674,10 @@ class IFSsimulator():
         data_time = now.strftime("%Y-%m-%d")
         # write the actual file
 
-        bluefile = self.result_path+'/original_Calibration/IFS_'+self.source + \
-            '_'+data_time+'_'+str(self.simnumber)+'_B_original.fits'
-        redfile = self.result_path+'/original_Calibration/IFS_'+self.source + \
-            '_'+data_time+'_'+str(self.simnumber)+'_R_original.fits'
+        bluefile = os.path.join(self.result_path,'original_Calibration/IFS_'+self.source + \
+            '_'+data_time+'_'+str(self.simnumber)+'_B_original.fits')
+        redfile = os.path.join(self.result_path,'original_Calibration/IFS_'+self.source + \
+            '_'+data_time+'_'+str(self.simnumber)+'_R_original.fits')
 
         fits.writeto(bluefile, blue_img.array, overwrite=True)
         fits.writeto(redfile,  red_img.array,  overwrite=True)
@@ -4795,7 +4697,7 @@ class IFSsimulator():
 
         newd = fits.HDUList([hdu1, hdu2])
 
-        filename = self.result_path+'/calibration_Data/'+self.source+'_flux.fits'
+        filename = os.path.join(self.result_path,'calibration_Data/'+self.source+'_flux.fits')
 
         if self.simnumber == 1:
             newd.writeto(filename, overwrite=True)
@@ -4836,8 +4738,7 @@ class IFSsimulator():
 
         ############################################################################
         # consider the slice optical efficiency in different slicer channel
-        slicer_QE_file = self.information['dir_path'] + \
-            'IFS_inputdata/Flatfield/slicer_QE230625.fits'
+        slicer_QE_file = os.path.join(self.information['dir_path'],'IFS_inputdata/Flatfield/slicer_QE230625.fits')
         da = fits.open(slicer_QE_file)
         self.log.info('slicer_QE_file path is: %s' % (slicer_QE_file))
         slicer_Qe = da[0].data
@@ -5041,9 +4942,7 @@ class IFSsimulator():
             # orbit parameters are not in currenct txt file
             if self.orbit_pars[-1, 0] < t2jd:
                 self.orbit_file_num = self.orbit_file_num+1
-                fn = self.information['dir_path'] + \
-                    'IFS_inputdata/TianCe/orbit20160925/' + \
-                    str(self.orbit_file_num)+'.txt'
+                fn = os.path.join(self.information['dir_path'] , 'IFS_inputdata/TianCe/orbit20160925/'+str(self.orbit_file_num)+'.txt')
                 self.orbit_pars = np.loadtxt(fn)
                 self.orbit_exp_num = 0
 
@@ -5220,10 +5119,8 @@ class IFSsimulator():
                 # PSFfilename='/media/yan//IFSsim/IFSsim Data/rot_shift_Img.fits'
 
                 # fits.writeto('/media/yan//IFSsim/IFSsim Data/rot_shift_subImg.fits',image0.array[50-32:50+32,50-32:50+32],overwrite=True )
-                hdu1.writeto(self.result_path+'/shift_rot_sky/rot_shift_subImg_' +
-                             str(simnumber)+'.fits', overwrite=True)
-                fits.writeto(self.result_path+'/shift_rot_sky/original_Img_' +
-                             str(simnumber)+'.fits', Nimg, overwrite=True)
+                hdu1.writeto(os.path.join(self.result_path,'shift_rot_sky/rot_shift_subImg_'+str(simnumber)+'.fits'), overwrite=True)
+                fits.writeto(os.path.join(self.result_path,'shift_rot_sky/original_Img_'+str(simnumber)+'.fits'), Nimg, overwrite=True)
 
             #####################################################################
             # ## do convolve image0 with PSF0 from primay CSST  ###
@@ -5342,22 +5239,6 @@ class IFSsimulator():
                 energy = energy+sum(photons.flux[idx0])
                 p_num = len(idx0[0])
 
-                ##############################################################
-                # ######### code for test slice is right or not ##############
-                ##############################################################
-                # photons_2=galsim.PhotonArray(N=p_num, x=photons.x[idx0], y=photons.y[idx0], flux = photons.flux[idx0], wavelength=lam)
-                # if k==0:
-                #     sliceimage = galsim.Image(100,100)
-                #     sliceimage.scale = pixelscale
-                #     sliceimage.setOrigin(0,0)
-                # #image.setCenter(int(np.mean(photons.x)), int(np.mean(photons.y)))
-
-                # rotphotons=galsim.PhotonArray(N=p_num,  x=photons_2.x/pixelscale, y=photons_2.y/pixelscale, flux = photons_2.flux)
-
-                # sensor = galsim.Sensor()
-                # sensor.accumulate(rotphotons, sliceimage)
-                # #########     finish testing   #############################
-                # #############################################################
                 # ####################################
                 # find photons for blue channel, and make the flux multiple the optical and CCD efficiency
 
@@ -5404,17 +5285,6 @@ class IFSsimulator():
 
                     ########################################################
 
-            # ##################### test code ################################
-            # ################################################################
-            # fits.writeto('originalImg.fits',Nimg,overwrite=True)
-            # fits.writeto('PSFedImg.fits',temp,overwrite=True)
-            # fits.writeto('rotedphotonsImg.fits',image.array,overwrite=True)
-            # fits.writeto('newsub_rotedphotonsImg.fits',newimage.array,overwrite=True)
-            # fits.writeto('slicephotonsImg.fits',sliceimage.array,overwrite=True)
-
-            # pause()
-            # #############################################################
-            # ############## finish test code   ###########################
 
         #####################################################################
         # stray light will cover 2% of input total light;
@@ -5430,10 +5300,10 @@ class IFSsimulator():
         self.image_r = red_img.array
 
         obsid = simnumber
-        bluefile = self.result_path+'/original_sky/IFS_' + \
-            self.source+'_'+str(obsid)+'_B.fits'
-        redfile = self.result_path+'/original_sky/IFS_' + \
-            self.source+'_'+str(obsid)+'_R.fits'
+        bluefile = os.path.join(self.result_path,'original_sky/IFS_' + \
+            self.source+'_'+str(obsid)+'_B.fits')
+        redfile = os.path.join(self.result_path,'original_sky/IFS_' + \
+            self.source+'_'+str(obsid)+'_R.fits')
 
         fits.writeto(bluefile, blue_img.array, overwrite=True)
         fits.writeto(redfile,  red_img.array,  overwrite=True)
@@ -5463,14 +5333,13 @@ class IFSsimulator():
 
         # load HgAr data;
         if self.source == 'LAMP':
-            matfn3 = self.information['dir_path']+'IFS_inputdata/HgAr.mat'
+            matfn3 = os.path.join(self.information['dir_path'],'IFS_inputdata/HgAr.mat')
             self.log.info('lamp flux file is : %s' % (matfn3))
             da3 = sio.loadmat(matfn3)
             HgArst = da3['HgArst']  # opd unit is in meter
         # load flat data
         if self.source == 'FLAT':
-            matfn3 = self.information['dir_path'] + \
-                'IFS_inputdata/flat_light.mat'
+            matfn3 = os.path.join(self.information['dir_path'],'IFS_inputdata/flat_light.mat')
             self.log.info('flat flux file is : %s' % (matfn3))
             da3 = sio.loadmat(matfn3)
             flat_light = da3['flat_light']  # opd unit is in meter
@@ -5639,7 +5508,7 @@ class IFSsimulator():
             # print('time=',(end-start))
             # consider the slice optical efficiency in different slicer channel
             da = fits.open(
-                self.information['dir_path']+'IFS_inputdata/Flatfield/slicer_QE230625.fits')
+                os.path.join(self.information['dir_path'],'IFS_inputdata/Flatfield/slicer_QE230625.fits'))
             slicer_Qe = da[0].data
             img0 = img0*slicer_Qe
             # #########   do the slice effect  ###################
@@ -5698,22 +5567,6 @@ class IFSsimulator():
                 p_num = len(idx0[0])
 
                 # #############################################################
-                # ##### code for test slice is right or not ##################
-                #########################################################
-                # photons_2=galsim.PhotonArray(N=p_num, x=photons.x[idx0], y=photons.y[idx0], flux = photons.flux[idx0], wavelength=lam)
-                # if k==0:
-                #     sliceimage = galsim.Image(100,100)
-                #     sliceimage.scale = pixelscale
-                #     sliceimage.setOrigin(0,0)
-                # #image.setCenter(int(np.mean(photons.x)), int(np.mean(photons.y)))
-
-                # rotphotons=galsim.PhotonArray(N=p_num,  x=photons_2.x/pixelscale, y=photons_2.y/pixelscale, flux = photons_2.flux)
-
-                # sensor = galsim.Sensor()
-                # sensor.accumulate(rotphotons, sliceimage)
-                # ########################     finish testing    #######################################################
-                # ######################################################################################################
-
                 #####################################
                 # find photons for blue channel, and make the flux multiple the optical and CCD efficiency
 
@@ -5769,10 +5622,11 @@ class IFSsimulator():
         data_time = now.strftime("%Y-%m-%d")
         # write the actual file
 
-        bluefile = self.result_path+'/original_Calibration/IFS_'+self.source + \
-            '_'+data_time+'_'+str(self.simnumber)+'_B_original.fits'
-        redfile = self.result_path+'/original_Calibration/IFS_'+self.source + \
-            '_'+data_time+'_'+str(self.simnumber)+'_R_original.fits'
+        bluefile = os.path.join(self.result_path,'original_Calibration/IFS_'+self.source + \
+            '_'+data_time+'_'+str(self.simnumber)+'_B_original.fits')
+            
+        redfile = os.path.join(self.result_path,'original_Calibration/IFS_'+self.source + \
+            '_'+data_time+'_'+str(self.simnumber)+'_R_original.fits')
 
         fits.writeto(bluefile, blue_img.array, overwrite=True)
         fits.writeto(redfile,  red_img.array,  overwrite=True)
@@ -5792,7 +5646,7 @@ class IFSsimulator():
 
         newd = fits.HDUList([hdu1, hdu2])
 
-        filename = self.result_path+'/calibration_Data/'+self.source+'_flux.fits'
+        filename = os.path.join(self.result_path,'calibration_Data/'+self.source+'_flux.fits')
 
         if self.simnumber == 1:
             newd.writeto(filename, overwrite=True)
@@ -5861,8 +5715,7 @@ class IFSsimulator():
             if simnumber <= 200 and simnumber > 150:
                 self.information['exptime'] = 1200
 
-            self.skyfilepath = self.information['dir_path'] + \
-                self.information['sky_fitsin']
+            self.skyfilepath = os.path.join(self.information['dir_path'],self.information['sky_fitsin'])
 
             print('self.skyfilepath = ', self.skyfilepath)
 
@@ -5879,7 +5732,7 @@ class IFSsimulator():
 
                 ##########################################
                 df = pd.read_csv(
-                    self.information['dir_path']+'IFS_inputdata/TianCe/'+starcat)
+                    os.path.join(self.information['dir_path'],'IFS_inputdata/TianCe/'+starcat))
 
                 ##############################################################
                 sn = self.simnumber-1
@@ -5905,8 +5758,8 @@ class IFSsimulator():
 
                     # fn=father_path+'/IFS_inputdata/TianCe/orbit20160925/'+str(k)+'.txt';
 
-                    fn = self.information['dir_path'] + \
-                        'IFS_inputdata/TianCe/orbit20160925/'+str(k)+'.txt'
+                    fn = os.path.join(self.information['dir_path'],
+                        'IFS_inputdata/TianCe/orbit20160925/'+str(k)+'.txt')
                     d = np.loadtxt(fn)
 
                     for kk in range(len(d[:, 0])):
@@ -5928,8 +5781,8 @@ class IFSsimulator():
 
                 else:
 
-                    fn = self.information['dir_path'] + \
-                        'IFS_inputdata/TianCe/orbit20160925/'+str(k+1)+'.txt'
+                    fn = os.path.join(self.information['dir_path'] ,
+                        'IFS_inputdata/TianCe/orbit20160925/'+str(k+1)+'.txt')
                     d = np.loadtxt(fn)
 
                     self.orbit_pars = d
@@ -6164,20 +6017,15 @@ def runIFSsim(sourcein, configfile, dir_path, result_path, iLoop, debug, applyho
     simulate[iLoop] = IFSsimulator(configfile)
 
     simulate[iLoop].configure(sourcein,  dir_path, result_path,
-                              iLoop, debug, applyhole)    # load the configfile;
+                              iLoop, debug, applyhole)
+    # load the configfile;
+    simulate[iLoop].information['result_path'] = result_path
 
     if applyhole == 'yes' and sourcein == 'LAMP':
         simulate[iLoop].information['holemask'] = 'yes'
     else:
         simulate[iLoop].information['holemask'] = 'no'
 
-    # ## dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'], 'ifs_sim/')
-    # simulate[iLoop].information['dir_path'] = dir_path
-
-    # simulate[iLoop].information['debug'] = debug
-
-    # simulate[iLoop].information['result_path'] = result_path
-
     simulate[iLoop].simulate(sourcein, iLoop)
 
     return 1
diff --git a/csst_ifs_sim/ifs_so/__pycache__/__init__.cpython-311.pyc b/csst_ifs_sim/ifs_so/__pycache__/__init__.cpython-311.pyc
new file mode 100644
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