Merge branch 'develop' of https://csst-tb.bao.ac.cn/code/csst-sims/csst_msc_sim into develop

requirements.txt

@@ -10,4 +10,5 @@ h5py==3.11.0
 Cython==3.0.6
 numba==0.59.1
 psutil==5.9.8
-toml==0.10.2
+toml==0.10.2
\ No newline at end of file
+lmfit==1.2.2
\ No newline at end of file

setup.py

@@ -98,7 +98,7 @@ setup(name='CSSTSim',
         'ObservationSim.Instrument.data.sls_conf': ['*.conf', '*.fits'],
         'ObservationSim.Instrument.data.flatCube': ['*.fits'],
         'Catalog.data': ['*.fits','*.so'],
-        'ObservationSim.Config.Header':['*.header','*.lst'],
+        'ObservationSim.Config.Header':['*.fits','*.lst'],
         'ObservationSim.Straylight.data': ['*.dat'],
         'ObservationSim.Straylight.data.sky': ['*.dat'],
         'ObservationSim.Straylight.lib': ['*'],

tests/test_SpecDisperse.py

@@ -145,16 +145,22 @@ class TestSpecDisperse(unittest.TestCase):
     def __init__(self, methodName='runTest'):
         super(TestSpecDisperse,self).__init__(methodName)
 
-        self.filePath('csst_fz_gc0')
+        self.filePath('csst_msc_sim/test_sls_and_straylight')
         
         # self.conff = conff
         # self.throughputf = throughputf
 
+
     def filePath(self, file_name):
         fn = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), file_name)
         self.conff= os.path.join(fn, 'CSST_GI2.conf')
         self.throughputf= os.path.join(fn, 'GI.Throughput.1st.fits')
         self.testDir = fn
+        self.outDataFn = os.path.join(fn,'output')
+        if os.path.isdir(self.outDataFn):
+            pass
+        else:
+            os.mkdir(self.outDataFn)
 
     def test_rotate901(self):
         m = np.array([[1,2,3,4,5],[6,7,8,9,10],[11,12,13,14,15],[16,17,18,19,20],[21,22,23,24,25]])
@@ -231,16 +237,16 @@ class TestSpecDisperse(unittest.TestCase):
         ids1 = wave_pix[ids] > 6500
         print('Spec disperse flux test')
         self.assertTrue(np.mean((wave_flux[ids][ids1] - sed_i(wave_pix[ids][ids1]))/sed_i(wave_pix[ids][ids1]))<0.004)
-        plt.figure()
-        plt.plot(wave_pix, wave_flux)
-        plt.plot(sed['WAVELENGTH'], sed['FLUX'])
-        plt.xlim(6200, 10000)
-        plt.ylim(1, 3)
-        plt.yscale('log')
-        plt.xlabel('$\lambda$')
-        plt.ylabel('$F\lambda$')
-        plt.legend(['extracted', 'input'])
-        plt.show()
+        # plt.figure()
+        # plt.plot(wave_pix, wave_flux)
+        # plt.plot(sed['WAVELENGTH'], sed['FLUX'])
+        # plt.xlim(6200, 10000)
+        # plt.ylim(1, 3)
+        # plt.yscale('log')
+        # plt.xlabel('$\lambda$')
+        # plt.ylabel('$F\lambda$')
+        # plt.legend(['extracted', 'input'])
+        # plt.show()
 
     def test_Specdistperse2(self):
 
@@ -303,16 +309,16 @@ class TestSpecDisperse(unittest.TestCase):
         self.assertTrue(fwhmx/deltLamda_pix*pix_scale - psf_fwhm  < np.abs(0.02))
         # print('error is ',np.mean((wave_flux[ids][ids1] - sed_i(wave_pix[ids][ids1]))/sed_i(wave_pix[ids][ids1])))
         # self.assertTrue(np.mean((wave_flux[ids][ids1] - sed_i(wave_pix[ids][ids1]))/sed_i(wave_pix[ids][ids1]))<0.004)
-        plt.figure()
-        plt.plot(wave_pix, wave_flux)
-        plt.plot(sed['WAVELENGTH'], sed['FLUX'])
-        plt.xlim(6200, 10000)
-        plt.ylim(1, 75)
-        plt.yscale('log')
-        plt.xlabel('$\lambda$')
-        plt.ylabel('$F\lambda$')
-        plt.legend(['extracted', 'input'])
-        plt.show()
+        # plt.figure()
+        # plt.plot(wave_pix, wave_flux)
+        # plt.plot(sed['WAVELENGTH'], sed['FLUX'])
+        # plt.xlim(6200, 10000)
+        # plt.ylim(1, 75)
+        # plt.yscale('log')
+        # plt.xlabel('$\lambda$')
+        # plt.ylabel('$F\lambda$')
+        # plt.legend(['extracted', 'input'])
+        # plt.show()
 
     def test_Specdistperse3(self):
 
@@ -484,7 +490,7 @@ class TestSpecDisperse(unittest.TestCase):
 
         print('Spec double disperse test')
         from astropy.io import fits
-        fits.writeto('test.fits',chip.img.array, overwrite = True)
+        fits.writeto(os.path.join(self.outDataFn,'test_sls_doubleDisp.fits'),chip.img.array, overwrite = True)
 
         # plt.figure()
         # plt.imshow(chip.img.array)

tests/test_Straylight.py

@@ -74,7 +74,7 @@ class TestStraylight(unittest.TestCase):
         # print(file_name)
         # fn = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), file_name)
         # self.pointingData = np.loadtxt(os.path.join(fn, 'Straylight_test.dat'), dtype=np.double)
-        self.filePath('csst_fz_gc0')
+        self.filePath('csst_msc_sim/test_sls_and_straylight')
         self.filter = filter
         self.grating = grating
         

tests/det_effect_unit_test.py → tests/test_effect_unit.py

@@ -17,7 +17,7 @@ class DetTest(unittest.TestCase):
 
     def __init__(self, methodName='runTest'):
         super(DetTest,self).__init__(methodName)
-        self.filePath('csst_fz_gc0')
+        self.filePath('csst_msc_sim/test_sls_and_straylight')
 
     def filePath(self, file_name):
         self.datafn = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), file_name)
@@ -138,15 +138,15 @@ class DetTest(unittest.TestCase):
         newimg.write(os.path.join(self.outDataFn,'test_badlines.fits'))
         del newimg,img
 
-    def test_cte(self):
-        img = galsim.Image(200,200,init_value=1000)
-        img.array[50,80] = 1e4
-        img.array[150,150] = 3e4
-        newimgcol = Effects.CTE_Effect(copy.deepcopy(img),direction='column')
-        newimgrow = Effects.CTE_Effect(copy.deepcopy(img),direction='row')
-        newimgcol.write(os.path.join(self.outDataFn,'test_ctecol.fits'))
-        newimgrow.write(os.path.join(self.outDataFn,'test_cterow.fits'))
-        del img,newimgcol,newimgrow
+    # def test_cte(self):
+    #     img = galsim.Image(200,200,init_value=1000)
+    #     img.array[50,80] = 1e4
+    #     img.array[150,150] = 3e4
+    #     newimgcol = Effects.CTE_Effect(copy.deepcopy(img),direction='column')
+    #     newimgrow = Effects.CTE_Effect(copy.deepcopy(img),direction='row')
+    #     newimgcol.write(os.path.join(self.outDataFn,'test_ctecol.fits'))
+    #     newimgrow.write(os.path.join(self.outDataFn,'test_cterow.fits'))
+    #     del img,newimgcol,newimgrow
 
     def test_readnoise(self):
         img = galsim.Image(200,200,init_value=1000)