update darknoise module

ObservationSim/Instrument/Chip/ChipUtils.py

@@ -171,22 +171,40 @@ def get_poisson(seed=0, sky_level=0.):
     poisson_noise = galsim.PoissonNoise(rng_poisson, sky_level=sky_level)
     return rng_poisson, poisson_noise
 
-def get_base_img(img, read_noise, readout_time, dark_noise, exptime=150.):
-    # base_level = read_noise**2 + dark_noise*(exptime+0.5*readout_time)
-    base_level = dark_noise*(exptime+0.5*readout_time)
-    base_img = base_level * np.ones_like(img.array)
-    return base_img
-
-def add_poisson(img, chip, exptime=150., seed=0, sky_level=0., poisson_noise=None, dark_noise=None):
+def get_base_img(img, chip, read_noise, readout_time, dark_noise, exptime=150., InputDark=None):
+    if InputDark == None:
+        # base_level = read_noise**2 + dark_noise*(exptime+0.5*readout_time)
+        ## base_level = dark_noise*(exptime+0.5*readout_time)
+        base_level = dark_noise*(exptime)
+        base_img1 = base_level * np.ones_like(img.array)
+    else:
+        base_img1 = np.zeros_like(img.array)
+
+    ny = int(chip.npix_y/2)
+    nx = chip.npix_x
+    arr = np.arange(ny).reshape(ny, 1)
+    arr = np.broadcast_to(arr, (ny, nx))
+    base_img2 = np.zeros_like(img.array)
+    base_img2[:ny, :] = arr
+    base_img2[ny:, :] = arr[::-1,:]
+    base_img2[:,:]    = base_img2[:,:]*(readout_time/ny)*dark_noise
+    return base_img1+base_img2
+
+def add_poisson(img, chip, exptime=150., seed=0, sky_level=0., poisson_noise=None, dark_noise=None, InputDark=None):
     if poisson_noise is None:
         _, poisson_noise = get_poisson(seed=seed, sky_level=sky_level)
     read_noise = chip.read_noise
     if dark_noise is None:
         dark_noise = chip.dark_noise
-    base_img = get_base_img(img=img, read_noise=read_noise, readout_time=chip.readout_time, dark_noise=dark_noise, exptime=exptime)
+    base_img = get_base_img(img=img, chip, read_noise=read_noise, readout_time=chip.readout_time, dark_noise=dark_noise, exptime=exptime, InputDark=None)
     img += base_img
     img.addNoise(poisson_noise)
     # img -= read_noise**2
+
+    if InputDark != None:
+        hdu = fits.open(InputDark)  ##"Instrument/data/dark/dark_1000s_example_0.fits"
+        img += hdu[0].data/hdu[0].header['exptime']*exptime
+        hdu.close()
     return img, base_img
 
 def add_brighter_fatter(img):
@@ -215,7 +233,7 @@ def add_brighter_fatter(img):
     img.array[:, :] = np.reshape(arr_imc, [nx, ny])
     del arr_ima, arr_imc
     return img
-
+"""
 def add_inputdark(img, chip, exptime):
     fname = "/share/home/weichengliang/CSST_git/test_new_sim/csst-simulation/ObservationSim/Instrument/data/dark/dark_1000s_example_0.fits"
     hdu = fits.open(fname)
@@ -225,7 +243,7 @@ def add_inputdark(img, chip, exptime):
     hdu.close()
     del inputdark
     return img
-
+"""
 def AddPreScan(GSImage, pre1=27, pre2=4, over1=71, over2=80, nsecy = 2, nsecx=8):
     img= GSImage.array
     ny, nx = img.shape

ObservationSim/sim_steps/add_pattern_noise.py

@@ -10,8 +10,6 @@ def apply_PRNU(self, chip, filt, tel, pointing, catalog, obs_param):
 
 def add_poisson_and_dark(self, chip, filt, tel, pointing, catalog, obs_param):
     # Add dark current & Poisson noise
-    InputDark = False
-    
     # Get exposure time
     if (obs_param) and ("exptime" in obs_param) and (obs_param["exptime"] is not None):
         exptime = obs_param["exptime"]
@@ -19,15 +17,11 @@ def add_poisson_and_dark(self, chip, filt, tel, pointing, catalog, obs_param):
         exptime = pointing.exp_time
     
     if obs_param["add_dark"] == True:
-        if InputDark:
-            chip.img = chip_utils.add_inputdark(img=chip.img, 
-                                               chip=chip, 
-                                               exptime=exptime)
-        else:
-            chip.img, _ = chip_utils.add_poisson(img=chip.img, 
-                                                chip=chip, 
-                                                exptime=exptime, 
-                                                poisson_noise=chip.poisson_noise)
+        chip.img, _ = chip_utils.add_poisson(img=chip.img,
+                                            chip=chip,
+                                            exptime=pointing.exp_time,
+                                            poisson_noise=chip.poisson_noise,
+                                            InputDark=None)
     else:
         chip.img, _ = chip_utils.add_poisson(img=chip.img, 
                                             chip=self, 
@@ -78,4 +72,4 @@ def add_bias(self, chip, filt, tel, pointing, catalog, obs_param):
                                               seed=self.overall_config["random_seeds"]["seed_biasNonUniform"]+chip.chipID)
     elif obs_param["bias_16channel"] == False:
         chip.img += self.bias_level
-    return chip, filt, tel, pointing
\ No newline at end of file
+    return chip, filt, tel, pointing

ObservationSim/sim_steps/readout_output.py

@@ -12,6 +12,11 @@ def add_prescan_overscan(self, chip, filt, tel, pointing, catalog, obs_param):
                                     pre2=chip.prescan_y,
                                     over1=chip.overscan_x,
                                     over2=chip.overscan_y)
+
+    if obs_param["add_dark"] == True:
+        ny = int(chip.npix_y/2)
+        base_dark = (ny-1)*(chip.readout_time/ny)*chip.dark_noise
+        chip.img.array[(chip.prescan_y+ny):-(chip.prescan_y+ny),:] = bese_dark
     return chip, filt, tel, pointing
 
 def add_readout_noise(self, chip, filt, tel, pointing, catalog, obs_param):