Loading requirements.txt +2 −1 Original line number Original line Diff line number Diff line Loading @@ -11,3 +11,4 @@ Cython==3.0.6 numba==0.59.1 numba==0.59.1 psutil==5.9.8 psutil==5.9.8 toml==0.10.2 toml==0.10.2 lmfit==1.2.2 No newline at end of file setup.py +1 −1 Original line number Original line Diff line number Diff line Loading @@ -98,7 +98,7 @@ setup(name='CSSTSim', 'ObservationSim.Instrument.data.sls_conf': ['*.conf', '*.fits'], 'ObservationSim.Instrument.data.sls_conf': ['*.conf', '*.fits'], 'ObservationSim.Instrument.data.flatCube': ['*.fits'], 'ObservationSim.Instrument.data.flatCube': ['*.fits'], 'Catalog.data': ['*.fits','*.so'], 'Catalog.data': ['*.fits','*.so'], 'ObservationSim.Config.Header':['*.header','*.lst'], 'ObservationSim.Config.Header':['*.fits','*.lst'], 'ObservationSim.Straylight.data': ['*.dat'], 'ObservationSim.Straylight.data': ['*.dat'], 'ObservationSim.Straylight.data.sky': ['*.dat'], 'ObservationSim.Straylight.data.sky': ['*.dat'], 'ObservationSim.Straylight.lib': ['*'], 'ObservationSim.Straylight.lib': ['*'], Loading tests/det_effect_unit_test.py +9 −9 Original line number Original line Diff line number Diff line Loading @@ -138,15 +138,15 @@ class DetTest(unittest.TestCase): newimg.write(os.path.join(self.outDataFn,'test_badlines.fits')) newimg.write(os.path.join(self.outDataFn,'test_badlines.fits')) del newimg,img del newimg,img def test_cte(self): # def test_cte(self): img = galsim.Image(200,200,init_value=1000) # img = galsim.Image(200,200,init_value=1000) img.array[50,80] = 1e4 # img.array[50,80] = 1e4 img.array[150,150] = 3e4 # img.array[150,150] = 3e4 newimgcol = Effects.CTE_Effect(copy.deepcopy(img),direction='column') # newimgcol = Effects.CTE_Effect(copy.deepcopy(img),direction='column') newimgrow = Effects.CTE_Effect(copy.deepcopy(img),direction='row') # newimgrow = Effects.CTE_Effect(copy.deepcopy(img),direction='row') newimgcol.write(os.path.join(self.outDataFn,'test_ctecol.fits')) # newimgcol.write(os.path.join(self.outDataFn,'test_ctecol.fits')) newimgrow.write(os.path.join(self.outDataFn,'test_cterow.fits')) # newimgrow.write(os.path.join(self.outDataFn,'test_cterow.fits')) del img,newimgcol,newimgrow # del img,newimgcol,newimgrow def test_readnoise(self): def test_readnoise(self): img = galsim.Image(200,200,init_value=1000) img = galsim.Image(200,200,init_value=1000) Loading tests/test_SpecDisperse.py +20 −20 Original line number Original line Diff line number Diff line Loading @@ -231,16 +231,16 @@ class TestSpecDisperse(unittest.TestCase): ids1 = wave_pix[ids] > 6500 ids1 = wave_pix[ids] > 6500 print('Spec disperse flux test') 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) 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.figure() plt.plot(wave_pix, wave_flux) # plt.plot(wave_pix, wave_flux) plt.plot(sed['WAVELENGTH'], sed['FLUX']) # plt.plot(sed['WAVELENGTH'], sed['FLUX']) plt.xlim(6200, 10000) # plt.xlim(6200, 10000) plt.ylim(1, 3) # plt.ylim(1, 3) plt.yscale('log') # plt.yscale('log') plt.xlabel('$\lambda$') # plt.xlabel('$\lambda$') plt.ylabel('$F\lambda$') # plt.ylabel('$F\lambda$') plt.legend(['extracted', 'input']) # plt.legend(['extracted', 'input']) plt.show() # plt.show() def test_Specdistperse2(self): def test_Specdistperse2(self): Loading Loading @@ -303,16 +303,16 @@ class TestSpecDisperse(unittest.TestCase): self.assertTrue(fwhmx/deltLamda_pix*pix_scale - psf_fwhm < np.abs(0.02)) 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]))) # 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) # 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.figure() plt.plot(wave_pix, wave_flux) # plt.plot(wave_pix, wave_flux) plt.plot(sed['WAVELENGTH'], sed['FLUX']) # plt.plot(sed['WAVELENGTH'], sed['FLUX']) plt.xlim(6200, 10000) # plt.xlim(6200, 10000) plt.ylim(1, 75) # plt.ylim(1, 75) plt.yscale('log') # plt.yscale('log') plt.xlabel('$\lambda$') # plt.xlabel('$\lambda$') plt.ylabel('$F\lambda$') # plt.ylabel('$F\lambda$') plt.legend(['extracted', 'input']) # plt.legend(['extracted', 'input']) plt.show() # plt.show() def test_Specdistperse3(self): def test_Specdistperse3(self): Loading Loading
requirements.txt +2 −1 Original line number Original line Diff line number Diff line Loading @@ -11,3 +11,4 @@ Cython==3.0.6 numba==0.59.1 numba==0.59.1 psutil==5.9.8 psutil==5.9.8 toml==0.10.2 toml==0.10.2 lmfit==1.2.2 No newline at end of file
setup.py +1 −1 Original line number Original line Diff line number Diff line Loading @@ -98,7 +98,7 @@ setup(name='CSSTSim', 'ObservationSim.Instrument.data.sls_conf': ['*.conf', '*.fits'], 'ObservationSim.Instrument.data.sls_conf': ['*.conf', '*.fits'], 'ObservationSim.Instrument.data.flatCube': ['*.fits'], 'ObservationSim.Instrument.data.flatCube': ['*.fits'], 'Catalog.data': ['*.fits','*.so'], 'Catalog.data': ['*.fits','*.so'], 'ObservationSim.Config.Header':['*.header','*.lst'], 'ObservationSim.Config.Header':['*.fits','*.lst'], 'ObservationSim.Straylight.data': ['*.dat'], 'ObservationSim.Straylight.data': ['*.dat'], 'ObservationSim.Straylight.data.sky': ['*.dat'], 'ObservationSim.Straylight.data.sky': ['*.dat'], 'ObservationSim.Straylight.lib': ['*'], 'ObservationSim.Straylight.lib': ['*'], Loading
tests/det_effect_unit_test.py +9 −9 Original line number Original line Diff line number Diff line Loading @@ -138,15 +138,15 @@ class DetTest(unittest.TestCase): newimg.write(os.path.join(self.outDataFn,'test_badlines.fits')) newimg.write(os.path.join(self.outDataFn,'test_badlines.fits')) del newimg,img del newimg,img def test_cte(self): # def test_cte(self): img = galsim.Image(200,200,init_value=1000) # img = galsim.Image(200,200,init_value=1000) img.array[50,80] = 1e4 # img.array[50,80] = 1e4 img.array[150,150] = 3e4 # img.array[150,150] = 3e4 newimgcol = Effects.CTE_Effect(copy.deepcopy(img),direction='column') # newimgcol = Effects.CTE_Effect(copy.deepcopy(img),direction='column') newimgrow = Effects.CTE_Effect(copy.deepcopy(img),direction='row') # newimgrow = Effects.CTE_Effect(copy.deepcopy(img),direction='row') newimgcol.write(os.path.join(self.outDataFn,'test_ctecol.fits')) # newimgcol.write(os.path.join(self.outDataFn,'test_ctecol.fits')) newimgrow.write(os.path.join(self.outDataFn,'test_cterow.fits')) # newimgrow.write(os.path.join(self.outDataFn,'test_cterow.fits')) del img,newimgcol,newimgrow # del img,newimgcol,newimgrow def test_readnoise(self): def test_readnoise(self): img = galsim.Image(200,200,init_value=1000) img = galsim.Image(200,200,init_value=1000) Loading
tests/test_SpecDisperse.py +20 −20 Original line number Original line Diff line number Diff line Loading @@ -231,16 +231,16 @@ class TestSpecDisperse(unittest.TestCase): ids1 = wave_pix[ids] > 6500 ids1 = wave_pix[ids] > 6500 print('Spec disperse flux test') 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) 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.figure() plt.plot(wave_pix, wave_flux) # plt.plot(wave_pix, wave_flux) plt.plot(sed['WAVELENGTH'], sed['FLUX']) # plt.plot(sed['WAVELENGTH'], sed['FLUX']) plt.xlim(6200, 10000) # plt.xlim(6200, 10000) plt.ylim(1, 3) # plt.ylim(1, 3) plt.yscale('log') # plt.yscale('log') plt.xlabel('$\lambda$') # plt.xlabel('$\lambda$') plt.ylabel('$F\lambda$') # plt.ylabel('$F\lambda$') plt.legend(['extracted', 'input']) # plt.legend(['extracted', 'input']) plt.show() # plt.show() def test_Specdistperse2(self): def test_Specdistperse2(self): Loading Loading @@ -303,16 +303,16 @@ class TestSpecDisperse(unittest.TestCase): self.assertTrue(fwhmx/deltLamda_pix*pix_scale - psf_fwhm < np.abs(0.02)) 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]))) # 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) # 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.figure() plt.plot(wave_pix, wave_flux) # plt.plot(wave_pix, wave_flux) plt.plot(sed['WAVELENGTH'], sed['FLUX']) # plt.plot(sed['WAVELENGTH'], sed['FLUX']) plt.xlim(6200, 10000) # plt.xlim(6200, 10000) plt.ylim(1, 75) # plt.ylim(1, 75) plt.yscale('log') # plt.yscale('log') plt.xlabel('$\lambda$') # plt.xlabel('$\lambda$') plt.ylabel('$F\lambda$') # plt.ylabel('$F\lambda$') plt.legend(['extracted', 'input']) # plt.legend(['extracted', 'input']) plt.show() # plt.show() def test_Specdistperse3(self): def test_Specdistperse3(self): Loading