def sim_ints(self, factors):
"""
simulate the ints
"""
for n, f in enumerate(factors):
int_scene = self.make_int_scene(f)
int_sim = SimConfig.makeSim(name="LRS Simulation", rel_obsdate=0.0, scene="scene.ini",
POP='IMA', ConfigPath='LRS_SLITLESS', Dither=False, StartInd=0, NDither=2,
DitherPat="lrs_recommended_dither.dat", filter="P750L", readDetect='FULL',
ima_mode='FAST', ima_exposures=1, ima_integrations=1, ima_frames=20,
disperser='SHORT', detector='SW', mrs_mode='SLOW', mrs_exposures=5,
mrs_integrations=4, mrs_frames=10)
lrs_sim = MiriSimulation(sim_config=int_sim, scene_config=int_scene,
simulator_config=self.simulator_config, loglevel='DEBUG')
lrs_sim.run()
new_dir = "int%d" % n
if os.path.isdir(new_dir):
shutil.rmtree(new_dir)
os.rename(lrs_sim.path_out, new_dir)
def run(self):
"""
run the simulation and rename output dir
"""
# simulate the ints
factors1 = np.arange(10)
factors2 = np.flipud(factors1)
factors = np.concatenate((factors1, factors2))
self.sim_ints(factors)
# simulate with len(factors) ints
self.lrs_scene_config = SceneConfig.from_default()
self.lrs_sim = MiriSimulation(sim_config=self.lrs_slitless_sim_config,scene_config=self.lrs_scene_config,
simulator_config=self.simulator_config,loglevel= 'DEBUG')
self.lrs_sim.run()
new_dir = "LRS-SLITLESS"
if os.path.isdir(new_dir):
shutil.rmtree(new_dir)
os.rename(self.lrs_sim.path_out , new_dir)
# get the names of the int directors
int_dirs = sorted(glob.glob('int*'))
# replace the
self.replace_ints(new_dir, int_dirs)
class MRSDemoData():
"""
Class to create MRS demo data
"""
def __init__(self):
"""
setup the MIRISim config objects
"""
self.mrs_sim_config = SimConfig.makeSim(name="MRS Simulation",rel_obsdate=0.0,scene="scene.ini",
POP='MRS',ConfigPath='MRS_1SHORT',Dither=True,StartInd=1,NDither=4,
DitherPat="mrs_recommended_dither.dat",filter="F1130W",readDetect= 'FULL',
ima_mode= 'FAST',ima_exposures=1,ima_integrations=1,ima_frames=20,
disperser= 'SHORT',detector= 'SW',mrs_mode= 'FAST',mrs_exposures=1,
mrs_integrations=2,mrs_frames=50)
self.simulator_config = SimulatorConfig.makeSimulator(max_fsm=0.050,max_dither=20.0,mrs_ref_channel=1,
mrs_ref_band="SHORT",tau_telescope=0.88,tau_eol=0.8,
telescope_area=25.032,telescope_pupil_diam=6.6052,
take_webbPsf=False,include_refpix=True,include_poisson=False,
include_readnoise=True,include_badpix=True,include_dark=True,
include_flat=True,include_gain=True,include_nonlinearity=True,
include_drifts=True,include_latency=True, cosmic_ray_mode='NONE')
# set background
background = Background(level= 'low',gradient=5.,pa=15.0,centreFOV=(0., 0.))
# set PL SED
SED1 = PLSed(alpha=0.0, wref=10., flux=1.e4)
Point1 = Point(Cen=(0., 0.), vel=0.0)
Point1.set_SED(SED1)
Point2 = Point(Cen=(0., 0.), vel=0.0)
SED2 = LinesSed(wavels=[5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25],
fluxes=[5e+03, 4e+03, 3e+03, 2e+03, 2e+03, 1e+03, 1e+03, 9e+02, 8e+02, 7e+02, 6e+02, 5e+02,
4e+02, 3e+02, 3e+02, 3e+02, 3e+02, 2e+02, 2e+02, 2e+02, 2e+02],
fwhms=[0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05,
0.05, 0.05, 0.05, 0.05, 0.05, 0.05, ])
Point2.set_SED(SED2)
# load point to targets list
targets = [Point1,Point2]
# create the object
self.mrs_scene_config = SceneConfig.makeScene(loglevel=0,background=background,targets=targets)
def run(self):
"""
run the simulation and rename output dir
"""
self.mrs_sim = MiriSimulation(sim_config=self.mrs_sim_config,scene_config=self.mrs_scene_config,
simulator_config=self.simulator_config,loglevel= 'DEBUG')
self.mrs_sim.run()
new_dir = "MRS"
if os.path.isdir(new_dir):
shutil.rmtree(new_dir)
os.rename(self.mrs_sim.path_out , new_dir)
def run(self):
"""
run the simulation and rename output dir
"""
self.lrs_sim = MiriSimulation(sim_config=self.lrs_slit_sim_config,scene_config=self.lrs_scene_config,
simulator_config=self.simulator_config,loglevel= 'DEBUG')
self.lrs_sim.run()
new_dir = "LRS-SLIT"
if os.path.isdir(new_dir):
shutil.rmtree(new_dir)
os.rename(self.lrs_sim.path_out , new_dir)
# background
self.lrs_bkg_sim = MiriSimulation(sim_config=self.lrs_slit_bkg_sim_config,scene_config=self.lrs_bkg_scene_config,
simulator_config=self.simulator_config,loglevel= 'DEBUG')
self.lrs_bkg_sim.run()
new_dir = "LRS-SLIT_BKG"
if os.path.isdir(new_dir):
shutil.rmtree(new_dir)
os.rename(self.lrs_bkg_sim.path_out, new_dir)
def run_sim(self, simcfg, scenecfg, simulatorcfg):
"""
Take the scene, simulation, and simulator config objects and run
simulation
"""
mysim = MiriSimulation(simcfg, scenecfg, simulatorcfg)
mysim.run()
def run(self):
"""
run the simulation and rename output dir
"""
self.ima_sim = MiriSimulation(sim_config=self.ima_sim_config,scene_config=self.ima_scene_config,
simulator_config=self.simulator_config,loglevel= 'DEBUG')
self.ima_sim.run()
new_dir = "IMA"
if os.path.isdir(new_dir):
shutil.rmtree(new_dir)
os.rename(self.ima_sim.path_out , new_dir)
class IMADemoData():
"""
Class to create IMA demo data
"""
def __init__(self):
"""
setup the MIRISim config objects
"""
self.ima_sim_config = SimConfig.makeSim(name="IMA Simulation",rel_obsdate=0.0,scene="scene.ini",
POP='IMA',ConfigPath='IMA_FULL',Dither=True,StartInd=1,
NDither=4,DitherPat="ima_recommended_dither.dat",filter="F1130W",
readDetect= 'FULL',ima_mode= 'FAST',ima_exposures=1,ima_integrations=2,
ima_frames=50,disperser= 'SHORT',detector= 'SW',mrs_mode= 'SLOW',
mrs_exposures=5,mrs_integrations=4,mrs_frames=10)
self.simulator_config = SimulatorConfig.makeSimulator(max_fsm=0.050,max_dither=20.0,mrs_ref_channel=1,
mrs_ref_band="SHORT",tau_telescope=0.88,tau_eol=0.8,
telescope_area=25.032,telescope_pupil_diam=6.6052,
take_webbPsf=False,include_refpix=True,include_poisson=True,
include_readnoise=True,include_badpix=True,include_dark=True,
include_flat=True,include_gain=True,include_nonlinearity=True,
include_drifts=True,include_latency=False,
cosmic_ray_mode='SOLAR_MIN')
self.ima_scene_config = make_simple_cat_scene_obj(target_coords=[1.0,1.0],random=True, source_num=500,
centre_coords=[1.0,1.0])
def run(self):
"""
run the simulation and rename output dir
"""
self.ima_sim = MiriSimulation(sim_config=self.ima_sim_config,scene_config=self.ima_scene_config,
simulator_config=self.simulator_config,loglevel= 'DEBUG')
self.ima_sim.run()
new_dir = "IMA"
if os.path.isdir(new_dir):
shutil.rmtree(new_dir)
os.rename(self.ima_sim.path_out , new_dir)
class LRSSlitDemoData():
"""
Class to create LRS Slit demo data
"""
def __init__(self):
"""
setup the MIRISim config objects
"""
self.lrs_slit_sim_config = SimConfig.makeSim(name="LRS Simulation",rel_obsdate=0.0,scene="scene.ini",
POP='IMA',ConfigPath='LRS_SLIT',Dither=True, StartInd=1,
NDither=2,DitherPat="lrs_recommended_dither.dat",filter="P750L",
readDetect= 'FULL',ima_mode= 'FAST',ima_exposures=1,ima_integrations=2,
ima_frames=50,disperser= 'SHORT',detector= 'SW',mrs_mode= 'SLOW',
mrs_exposures=5,mrs_integrations=4,mrs_frames=10)
self.lrs_slit_bkg_sim_config = SimConfig.makeSim(name="LRS Simulation", rel_obsdate=0.0, scene="scene.ini",
POP='IMA', ConfigPath='LRS_SLIT', Dither=False, StartInd=2,
NDither=2, DitherPat="lrs_recommended_dither.dat", filter="P750L",
readDetect='FULL', ima_mode='FAST', ima_exposures=1,
ima_integrations=2,
ima_frames=50, disperser='SHORT', detector='SW', mrs_mode='SLOW',
mrs_exposures=5, mrs_integrations=4, mrs_frames=10)
self.simulator_config = SimulatorConfig.makeSimulator(max_fsm=0.050,max_dither=20.0,mrs_ref_channel=1,
mrs_ref_band="SHORT",tau_telescope=0.88,tau_eol=0.8,
telescope_area=25.032,telescope_pupil_diam=6.6052,
take_webbPsf=False,include_refpix=True,include_poisson=True,
include_readnoise=True,include_badpix=True,include_dark=True,
include_flat=True,include_gain=True,include_nonlinearity=True,
include_drifts=True,include_latency=False,
cosmic_ray_mode='SOLAR_MIN')
# set background
background = Background(level='low',gradient=5.,pa=15.0,centreFOV=(0., 0.))
SED1 = PLSed(alpha=0.0, wref=10., flux=1.e4)
Point1 = Point(Cen=(0., 0.))
Point1.set_SED(SED1)
Point2 = Point(Cen=(0., 0.))
SED2 = LinesSed(wavels=[6, 7, 8, 9, 10, 11, 12],
fluxes=[5e+03, 4e+03, 3e+03, 3e+03, 3e+03, 3e+03, 3e+03],
fwhms=[0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05])
Point2.set_SED(SED2)
# set a background SED and object
SED3 = BBSed(Temp=300., wref=10., flux=1.e-1)
Gal1 = Galaxy(Cen=(0.,0.), n=2., re=50, q=0.9, pa=0.1)
Gal1.set_SED(SED3)
# load point to targets list
targets = [Point1, Point2, Gal1]
bkg_targets = [Gal1]
# create the object
self.lrs_scene_config = SceneConfig.makeScene(loglevel=0, background=background, targets=targets)
self.lrs_bkg_scene_config = SceneConfig.makeScene(loglevel=0, background=background, targets=bkg_targets)
def run(self):
"""
run the simulation and rename output dir
"""
self.lrs_sim = MiriSimulation(sim_config=self.lrs_slit_sim_config,scene_config=self.lrs_scene_config,
simulator_config=self.simulator_config,loglevel= 'DEBUG')
self.lrs_sim.run()
new_dir = "LRS-SLIT"
if os.path.isdir(new_dir):
shutil.rmtree(new_dir)
os.rename(self.lrs_sim.path_out , new_dir)
# background
self.lrs_bkg_sim = MiriSimulation(sim_config=self.lrs_slit_bkg_sim_config,scene_config=self.lrs_bkg_scene_config,
simulator_config=self.simulator_config,loglevel= 'DEBUG')
self.lrs_bkg_sim.run()
new_dir = "LRS-SLIT_BKG"
if os.path.isdir(new_dir):
shutil.rmtree(new_dir)
os.rename(self.lrs_bkg_sim.path_out, new_dir)
class LRSSlitlessDemoData():
"""
Class to create LRS Slitless demo data. Need to simulate n integrations where there is variation
in an absorption line and combine these into a combined 4d array
"""
def __init__(self):
"""
setup the MIRISim config objects
"""
self.lrs_slitless_sim_config = SimConfig.makeSim(name="LRS Simulation",rel_obsdate=0.0,scene="scene.ini",
POP='IMA',ConfigPath='LRS_SLITLESS',Dither=False,StartInd=0,NDither=2,
DitherPat="lrs_recommended_dither.dat",filter="P750L",readDetect= 'FULL',
ima_mode= 'FAST',ima_exposures=3,ima_integrations=20,ima_frames=20,
disperser= 'SHORT',detector= 'SW',mrs_mode= 'SLOW',mrs_exposures=5,
mrs_integrations=4,mrs_frames=10)
self.simulator_config = SimulatorConfig.makeSimulator(max_fsm=0.050,max_dither=20.0,mrs_ref_channel=1,
mrs_ref_band="SHORT",tau_telescope=0.88,tau_eol=0.8,
telescope_area=25.032,telescope_pupil_diam=6.6052,
take_webbPsf=False,include_refpix=True,include_poisson=True,
include_readnoise=True,include_badpix=True,include_dark=True,
include_flat=True,include_gain=True,include_nonlinearity=True,
include_drifts=True,include_latency=False,
cosmic_ray_mode='SOLAR_MIN')
def make_int_scene(self, factor):
"""
return a scene config where the strength of an absorption line varies according to factor.
"""
# set background
background = Background(level= 'low',gradient=5.,pa=15.0,centreFOV=(0., 0.))
# set SED
Point1 = Point(Cen=(0., 0.))
Point2 = Point(Cen=(0., 0.))
Point3 = Point(Cen=(0., 0.))
bb = BBSed(Temp=300., wref=10., flux=1.e4)
lines = LinesSed(wavels=[6, 7, 8, 9, 10, 11, 12],
fluxes=[5e+03, 4e+03, 3e+03, 3e+03, 3e+03, 3e+03, 3e+03],
fwhms=[0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05])
abs_line = LinesSed(wavels=[9.0], fluxes=[-1e4 * factor], fwhms=[1.0])
Point1.set_SED(bb)
Point2.set_SED(lines)
Point3.set_SED(abs_line)
# load point to targets list
targets = [Point1, Point2, Point3]
# return the scene object
return SceneConfig.makeScene(loglevel=0, background=background, targets=targets)
def sim_ints(self, factors):
"""
simulate the ints
"""
for n, f in enumerate(factors):
int_scene = self.make_int_scene(f)
int_sim = SimConfig.makeSim(name="LRS Simulation", rel_obsdate=0.0, scene="scene.ini",
POP='IMA', ConfigPath='LRS_SLITLESS', Dither=False, StartInd=0, NDither=2,
DitherPat="lrs_recommended_dither.dat", filter="P750L", readDetect='FULL',
ima_mode='FAST', ima_exposures=1, ima_integrations=1, ima_frames=20,
disperser='SHORT', detector='SW', mrs_mode='SLOW', mrs_exposures=5,
mrs_integrations=4, mrs_frames=10)
lrs_sim = MiriSimulation(sim_config=int_sim, scene_config=int_scene,
simulator_config=self.simulator_config, loglevel='DEBUG')
lrs_sim.run()
new_dir = "int%d" % n
if os.path.isdir(new_dir):
shutil.rmtree(new_dir)
os.rename(lrs_sim.path_out, new_dir)
def replace_ints(self, dir, int_dirs):
"""
replace the integrations in the full array with the int arrays
"""
my_output_files = glob.glob(os.path.join(dir, 'det_images', '*.fits'))
for f in my_output_files:
out_dm = datamodels.open(f)
for n, i in enumerate(int_dirs):
my_int_file = glob.glob(os.path.join(i, 'det_images', '*.fits'))[0]
int_dm = datamodels.open(my_int_file)
out_dm.data[n] = int_dm.data
out_dm.save(f)
def run(self):
"""
run the simulation and rename output dir
"""
# simulate the ints
factors1 = np.arange(10)
factors2 = np.flipud(factors1)
factors = np.concatenate((factors1, factors2))
self.sim_ints(factors)
# simulate with len(factors) ints
self.lrs_scene_config = SceneConfig.from_default()
self.lrs_sim = MiriSimulation(sim_config=self.lrs_slitless_sim_config,scene_config=self.lrs_scene_config,
simulator_config=self.simulator_config,loglevel= 'DEBUG')
self.lrs_sim.run()
new_dir = "LRS-SLITLESS"
if os.path.isdir(new_dir):
shutil.rmtree(new_dir)
os.rename(self.lrs_sim.path_out , new_dir)
# get the names of the int directors
int_dirs = sorted(glob.glob('int*'))
# replace the
self.replace_ints(new_dir, int_dirs)
def simulate_test_data(self):
"""
Run the MIRISim simulations
"""
# simulation config
if self.instrument == 'IMA':
sim_config = SimConfig.makeSim(
name="IMA Simulation",
rel_obsdate=0.0,
scene="scene.ini",
POP='IMA',
ConfigPath='IMA_FULL',
Dither=False,
StartInd=1,
NDither=4,
DitherPat="ima_recommended_dither.dat",
filter="F1130W",
readDetect='FULL',
ima_mode='FAST',
ima_exposures=1,
ima_integrations=1,
ima_frames=50,
disperser='SHORT',
detector='SW',
mrs_mode='SLOW',
mrs_exposures=5,
mrs_integrations=4,
mrs_frames=10)
# scene config
background = Background(level='low',
gradient=5.,
pa=15.0,
centreFOV=(0., 0.))
SED1 = BBSed(Temp=300., wref=10., flux=1.e8)
Gal1 = Galaxy(Cen=(0., 0.), n=1., re=200, q=0.99, pa=0.1)
Gal1.set_SED(SED1)
targets = [Gal1]
scene_config = SceneConfig.makeScene(loglevel=0,
background=background,
targets=targets)
elif self.instrument == 'MRS':
sim_config = SimConfig.makeSim(
name="MRS Simulation",
rel_obsdate=0.0,
scene="scene.ini",
POP='MRS',
ConfigPath='MRS_1SHORT',
Dither=False,
StartInd=1,
NDither=4,
DitherPat="mrs_recommended_dither.dat",
filter="F1130W",
readDetect='FULL',
ima_mode='FAST',
ima_exposures=1,
ima_integrations=1,
ima_frames=20,
disperser='SHORT',
detector='SW',
mrs_mode='FAST',
mrs_exposures=1,
mrs_integrations=1,
mrs_frames=50)
# scene config
background = Background(level='low',
gradient=5.,
pa=15.0,
centreFOV=(0., 0.))
SED1 = BBSed(Temp=300., wref=10., flux=5.e6)
Gal1 = Galaxy(Cen=(0., 0.), n=1., re=2, q=0.99, pa=0.1)
Gal1.set_SED(SED1)
targets = [Gal1]
scene_config = SceneConfig.makeScene(loglevel=0,
background=background,
targets=targets)
# simulator config
if self.noise:
simulator_config = SimulatorConfig.makeSimulator(
max_fsm=0.050,
max_dither=20.0,
mrs_ref_channel=1,
mrs_ref_band="SHORT",
tau_telescope=0.88,
tau_eol=0.8,
telescope_area=25.032,
telescope_pupil_diam=6.6052,
take_webbPsf=False,
include_refpix=True,
include_poisson=True,
include_readnoise=True,
include_badpix=True,
include_dark=True,
include_flat=False,
include_gain=True,
include_nonlinearity=self.linearity,
include_drifts=True,
include_latency=False,
cosmic_ray_mode='NONE')
else:
simulator_config = SimulatorConfig.makeSimulator(
max_fsm=0.050,
max_dither=20.0,
mrs_ref_channel=1,
mrs_ref_band="SHORT",
tau_telescope=0.88,
tau_eol=0.8,
telescope_area=25.032,
telescope_pupil_diam=6.6052,
take_webbPsf=False,
include_refpix=True,
include_poisson=False,
include_readnoise=False,
include_badpix=True,
include_dark=True,
include_flat=False,
include_gain=True,
include_nonlinearity=self.linearity,
include_drifts=True,
include_latency=False,
cosmic_ray_mode='NONE')
# run the simulation
simulation = MiriSimulation(sim_config=sim_config,
scene_config=scene_config,
simulator_config=simulator_config,
loglevel='DEBUG')
simulation.run()
# we only need the sim file so move it to output_dir and remove everthing else
det_image_file = glob.glob(
os.path.join(simulation.path_out, 'det_images', '*.fits'))[0]
self.ramp_file = os.path.join(self.output_dir,
os.path.basename(det_image_file))
shutil.move(det_image_file, self.ramp_file)
shutil.rmtree(simulation.path_out)
# After the simulation has run, the code renames the output directory to include the simulation settings to the directory.
#
# In[10]:
cfg_files = glob.glob('*_simconfig.ini')
print(cfg_files)
# In[11]:
# configure the simulator engine - this requires no editing from the default
simulator_config = SimulatorConfig.from_default()
for f in cfg_files[:1]:
tmp = f.split('.')
fcomps = tmp[0].split('_')
sim = MiriSimulation.from_configfiles(f)
sim.run()
outdir = sorted(glob.glob('*_*_mirisim'), key=os.path.getmtime)[-1]
new_outdir = 'wasp103_imtso_{0}_{1}_{2}'.format(fcomps[1], fcomps[2],
outdir)
os.rename(outdir, new_outdir)
print(outdir, new_outdir)
# ### Step 3: Minor housekeeping to make the sim pipeline-ready
#
# To make the MIRISim data ready for the TSO-specific pipeline, we have to make a couple of small changes to the data:
#
# * add the TSOVISIT = TRUE to the primary header
# * make sure the
def break_mirisim_scene(imager=True, ima_filters=False, ima_subarrays=False, ima_readmodes=True,
dither=False, noise=True):
"""
"""
# set cwd
cwd = os.getcwd()
# set the output directory
out_dir = os.path.join(cwd,'mirisim_scene_functional_tests')
try: shutil.rmtree(out_dir)
except: pass
os.mkdir(out_dir)
# set the output figure directory
out_fig_dir = os.path.join(cwd,'mirisim_scene_functional_tests','simulation_plots')
try: shutil.rmtree(out_fig_dir)
except: pass
os.mkdir(out_fig_dir)
# move to out_dir
os.chdir(out_dir)
# set up logging
log_file = os.path.join(out_dir,'test_MIRISim_scene.log')
testing_logger = logging.getLogger(__name__)
testing_logger.setLevel(logging.DEBUG)
handler = logging.FileHandler(log_file)
handler.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
testing_logger.addHandler(handler)
# generate the default simultor config object
simulator_cfg = make_simulator_config(noise=noise)
# imager simulations
if imager == True:
testing_logger.info('Starting imager simulations')
if ima_subarrays == True:
modes = ['FULL','BRIGHTSKY', 'SUB256', 'SUB128', 'SUB64']
else: modes = ['FULL'] # set as default
if ima_filters == True:
im_filters = ['F560W', 'F770W', 'F1000W', 'F1130W', 'F1280W', 'F1500W',
'F1800W', 'F2100W', 'F2550W', 'F1065C', 'F1140C',
'F1550C', 'F2300C', 'F2550WR']
else: im_filters = ['F1130W'] # set as default
if ima_readmodes == True:
read_modes = ['FAST', 'SLOW']
else: read_modes = ['FAST'] # set as default
# set observation parameters (hardcoded for now)
ndither = 2
exposures=1
integrations=1
# sources with no vel distribution
src_types = ['point', 'galaxy', 'exp_disk', 'sersic_disk', 'pysynphot']
src_specs = ['bb', 'pl']
for mode in modes:
for im_filter in im_filters:
for read_mode in read_modes:
for src_type in src_types:
for src_spec in src_specs:
scene_cfg = make_scene_config(src_type=src_type, src_spec=src_spec)
# set the number of groups depending on the readout mode
if read_mode == 'FAST': groups=50
elif read_mode == 'SLOW': groups=10
sim_dir = 'IMA_' + mode + '_' + im_filter + '_' + read_mode + '_dithering-' + str(dither) + \
'_' + src_type + '_' + src_spec
sim_fig = sim_dir + '.pdf'
os.mkdir(sim_dir)
os.chdir(sim_dir)
sim_cfg = make_ima_sim_config(mode=mode, dither=dither, ndither=ndither,
filter=im_filter,readmode=read_mode,
exposures=exposures, integrations=integrations,
groups=groups)
print('Simulating %s' % sim_dir)
try:
mysim = MiriSimulation(sim_cfg, scene_cfg, simulator_cfg)
mysim.run()
# log pass
testing_logger.info('%s passed' % sim_dir)
if dither == False:
fig,axs = plt.subplots(1, 2)
fig.set_figwidth(12.0)
fig.set_figheight(6.0)
elif dither == True:
fig,axs = plt.subplots(2,2)
fig.set_figwidth(12.0)
fig.set_figheight(12.0)
#plt.tight_layout(pad=0.5)
axs = axs.ravel()
axs_index = -1
# plot output, illumination model and last frame of first integration (only one per exposure)
illum_file = get_output_product('illum')
illum_datamodel = miri_illumination_model.MiriIlluminationModel(illum_file)
axs_index += 1
axs[axs_index].imshow(illum_datamodel.intensity[0], cmap='jet', interpolation='nearest', norm=LogNorm(), origin='lower')
axs[axs_index].annotate(sim_dir, xy=(0.0,1.02), xycoords='axes fraction', fontsize=14, fontweight='bold', color='k')
axs[axs_index].annotate('illum_model', xy=(0.7,0.95), xycoords='axes fraction', fontsize=10, fontweight='bold', color='w')
det_file = get_output_product('det_image')
det_datamodel = datamodels.open(det_file)
axs_index += 1
vmin = np.median(det_datamodel.data[0][-1]) * 0.9
vmax = np.median(det_datamodel.data[0][-1]) * 4
axs[axs_index].imshow(det_datamodel.data[0][-1], cmap='jet', interpolation='nearest', norm=LogNorm(vmin=vmin, vmax=vmax), origin='lower')
axs[axs_index].annotate('det_image', xy=(0.7,0.95), xycoords='axes fraction', fontsize=10, fontweight='bold', color='w')
if dither == True:
illum_file = get_output_product('illum', dither=True)
illum_datamodel = miri_illumination_model.MiriIlluminationModel(illum_file)
axs_index += 1
axs[axs_index].imshow(illum_datamodel.intensity[0], cmap='jet', interpolation='nearest', norm=LogNorm(), origin='lower')
axs[axs_index].annotate('dither position 2', xy=(0.0,1.02), xycoords='axes fraction', fontsize=12, fontweight='bold', color='k')
axs[axs_index].annotate('illum_model', xy=(0.7,0.95), xycoords='axes fraction', fontsize=10, fontweight='bold', color='w')
det_file = get_output_product('det_image', dither=True)
det_datamodel = datamodels.open(det_file)
axs_index += 1
axs[axs_index].imshow(det_datamodel.data[0][-1], cmap='jet', interpolation='nearest', norm=LogNorm(vmin=vmin, vmax=vmax), origin='lower')
axs[axs_index].annotate('det_image', xy=(0.7,0.95), xycoords='axes fraction', fontsize=10, fontweight='bold', color='w')
fig.savefig(os.path.join(out_fig_dir,sim_fig), dpi=200)
del fig
except Exception as e:
testing_logger.warning('%s failed' % sim_dir)
testing_logger.warning(' %s: %s' % (e.__class__.__name__, str(e)))
os.chdir(out_dir)
# pysnphot
for mode in modes:
for im_filter in im_filters:
for read_mode in read_modes:
scene_cfg = make_scene_config(src_type='pysynphot')
# set the number of groups depending on the readout mode
if read_mode == 'FAST':
groups = 50
elif read_mode == 'SLOW':
groups = 10
sim_dir = 'IMA_' + mode + '_' + im_filter + '_' + read_mode + '_dithering-' + str(dither) + \
'_pysynphot'
sim_fig = sim_dir + '.pdf'
os.mkdir(sim_dir)
os.chdir(sim_dir)
sim_cfg = make_ima_sim_config(mode=mode, dither=dither, ndither=ndither,
filter=im_filter, readmode=read_mode,
exposures=exposures,
integrations=integrations,
groups=groups)
print('Simulating %s' % sim_dir)
try:
mysim = MiriSimulation(sim_cfg, scene_cfg, simulator_cfg)
mysim.run()
# log pass
testing_logger.info('%s passed' % sim_dir)
if dither == False:
fig, axs = plt.subplots(1, 2)
fig.set_figwidth(12.0)
fig.set_figheight(6.0)
elif dither == True:
fig, axs = plt.subplots(2, 2)
fig.set_figwidth(12.0)
fig.set_figheight(12.0)
# plt.tight_layout(pad=0.5)
axs = axs.ravel()
axs_index = -1
# plot output, illumination model and last frame of first integration (only one per exposure)
illum_file = get_output_product('illum')
illum_datamodel = miri_illumination_model.MiriIlluminationModel(
illum_file)
axs_index += 1
axs[axs_index].imshow(illum_datamodel.intensity[0], cmap='jet',
interpolation='nearest', norm=LogNorm(),
origin='lower')
axs[axs_index].annotate(sim_dir, xy=(0.0, 1.02),
xycoords='axes fraction', fontsize=14,
fontweight='bold', color='k')
axs[axs_index].annotate('illum_model', xy=(0.7, 0.95),
xycoords='axes fraction', fontsize=10,
fontweight='bold', color='w')
det_file = get_output_product('det_image')
det_datamodel = datamodels.open(det_file)
axs_index += 1
vmin = np.median(det_datamodel.data[0][-1]) * 0.9
vmax = np.median(det_datamodel.data[0][-1]) * 4
axs[axs_index].imshow(det_datamodel.data[0][-1], cmap='jet',
interpolation='nearest',
norm=LogNorm(vmin=vmin, vmax=vmax),
origin='lower')
axs[axs_index].annotate('det_image', xy=(0.7, 0.95),
xycoords='axes fraction', fontsize=10,
fontweight='bold', color='w')
if dither == True:
illum_file = get_output_product('illum', dither=True)
illum_datamodel = miri_illumination_model.MiriIlluminationModel(
illum_file)
axs_index += 1
axs[axs_index].imshow(illum_datamodel.intensity[0], cmap='jet',
interpolation='nearest', norm=LogNorm(),
origin='lower')
axs[axs_index].annotate('dither position 2', xy=(0.0, 1.02),
xycoords='axes fraction', fontsize=12,
fontweight='bold', color='k')
axs[axs_index].annotate('illum_model', xy=(0.7, 0.95),
xycoords='axes fraction', fontsize=10,
fontweight='bold', color='w')
det_file = get_output_product('det_image', dither=True)
det_datamodel = datamodels.open(det_file)
axs_index += 1
axs[axs_index].imshow(det_datamodel.data[0][-1], cmap='jet',
interpolation='nearest',
norm=LogNorm(vmin=vmin, vmax=vmax),
origin='lower')
axs[axs_index].annotate('det_image', xy=(0.7, 0.95),
xycoords='axes fraction', fontsize=10,
fontweight='bold', color='w')
fig.savefig(os.path.join(out_fig_dir, sim_fig), dpi=200)
del fig
except Exception as e:
testing_logger.warning('%s failed' % sim_dir)
testing_logger.warning(' %s: %s' % (e.__class__.__name__, str(e)))
os.chdir(out_dir)
# galaxies with velomaps and LOSVD profiles
src_velomap = ['flatdisk', 'keplerdisk']
src_losvd = [True, False]
for mode in modes:
for im_filter in im_filters:
for read_mode in read_modes:
for src_vd in src_losvd:
for src_vm in src_velomap:
scene_cfg = make_scene_config(src_type='galaxy', src_spec='bb', losvd=src_vd, vel=src_vm)
# set the number of groups depending on the readout mode
if read_mode == 'FAST': groups=50
elif read_mode == 'SLOW': groups=10
sim_dir = 'IMA_' + mode + '_' + im_filter + '_' + read_mode + '_dithering-' + str(dither)\
+ '_losvd-' + str(src_vd) + '_velomap-' + str(src_vm)
sim_fig = sim_dir + '.pdf'
os.mkdir(sim_dir)
os.chdir(sim_dir)
sim_cfg = make_ima_sim_config(mode=mode, dither=dither, ndither=ndither,
filter=im_filter,readmode=read_mode,
exposures=exposures, integrations=integrations,
groups=groups)
print('Simulating %s' % sim_dir)
try:
mysim = MiriSimulation(sim_cfg, scene_cfg, simulator_cfg)
mysim.run()
# log pass
testing_logger.info('%s passed' % sim_dir)
if dither == False:
fig,axs = plt.subplots(1, 2)
fig.set_figwidth(12.0)
fig.set_figheight(6.0)
elif dither == True:
fig,axs = plt.subplots(2,2)
fig.set_figwidth(12.0)
fig.set_figheight(12.0)
#plt.tight_layout(pad=0.5)
axs = axs.ravel()
axs_index = -1
# plot output, illumination model and last frame of first integration (only one per exposure)
illum_file = get_output_product('illum')
illum_datamodel = miri_illumination_model.MiriIlluminationModel(illum_file)
axs_index += 1
axs[axs_index].imshow(illum_datamodel.intensity[0], cmap='jet', interpolation='nearest', norm=LogNorm(), origin='lower')
axs[axs_index].annotate(sim_dir, xy=(0.0,1.02), xycoords='axes fraction', fontsize=14, fontweight='bold', color='k')
axs[axs_index].annotate('illum_model', xy=(0.7,0.95), xycoords='axes fraction', fontsize=10, fontweight='bold', color='w')
det_file = get_output_product('det_image')
det_datamodel = datamodels.open(det_file)
axs_index += 1
vmin = np.median(det_datamodel.data[0][-1]) * 0.9
vmax = np.median(det_datamodel.data[0][-1]) * 4
axs[axs_index].imshow(det_datamodel.data[0][-1], cmap='jet',
interpolation='nearest', norm=LogNorm(vmin=vmin, vmax=vmax),
origin='lower')
axs[axs_index].annotate('det_image', xy=(0.7,0.95), xycoords='axes fraction', fontsize=10, fontweight='bold', color='w')
if dither == True:
illum_file = get_output_product('illum', dither=True)
illum_datamodel = miri_illumination_model.MiriIlluminationModel(illum_file)
axs_index += 1
axs[axs_index].imshow(illum_datamodel.intensity[0], cmap='jet', interpolation='nearest', norm=LogNorm(), origin='lower')
axs[axs_index].annotate('dither position 2', xy=(0.0,1.02), xycoords='axes fraction', fontsize=12, fontweight='bold', color='k')
axs[axs_index].annotate('illum_model', xy=(0.7,0.95), xycoords='axes fraction', fontsize=10, fontweight='bold', color='w')
det_file = get_output_product('det_image', dither=True)
det_datamodel = datamodels.open(det_file)
axs_index += 1
axs[axs_index].imshow(det_datamodel.data[0][-1], cmap='jet', interpolation='nearest', norm=LogNorm(vmin=vmin, vmax=vmax), origin='lower')
axs[axs_index].annotate('det_image', xy=(0.7,0.95), xycoords='axes fraction', fontsize=10, fontweight='bold', color='w')
fig.savefig(os.path.join(out_fig_dir,sim_fig), dpi=200)
del fig
except Exception as e:
testing_logger.warning('%s failed' % sim_dir)
testing_logger.warning(' %s: %s' % (e.__class__.__name__, str(e)))
os.chdir(out_dir)
os.chdir(cwd)
mrs_exposures = 10, # [NOT USED HERE]
mrs_integrations = 3, # [NOT USED HERE]
mrs_frames = 5, # [NOT USED HERE]
ima_exposures = 1, # number of exposures
ima_integrations = 1, # number of integrations
ima_frames = 15, # number of groups (for MIRI, # Groups = # Frames)
ima_mode = 'FAST', # Imager read mode (default is FAST ~ 2.3 s)
filter = 'P750L', # Imager Filter to use
readDetect = 'FULL' # Portion of detector to read out
)
sim_config_dither.write('LMC-81_simulation_slitdither.ini')
simulator_config = SimulatorConfig.makeSimulator(take_webbPsf=True)
lmc81_sim2 = MiriSimulation(sim_config_dither, scene_config, simulator_config)
lmc81_sim2.run()
# THIRD SIMULATION: SLITLESS
#sim_config_slitless = SimConfig.makeSim(
# name = 'LMC-81_lrsslitless', # name given to simulation
# scene = 'lmc_81_scene.ini', # name of scene file to input
# rel_obsdate = 1.0, # relative observation date (0 = launch, 1 = end of 5 yrs)
# POP = 'IMA', # Component on which to center (Imager or MRS)
# ConfigPath = 'LRS_SLITLESS', # Configure the Optical path (MRS sub-band)
# Dither = False, # Nod along the slit
# StartInd = 1, # start index for dither pattern [NOT USED HERE]
# NDither = 2, # number of dither positions [NOT USED HERE]
# DitherPat = 'lrs_recommended_dither.dat', # dither pattern to use [NOT USED HERE]
# disperser = 'SHORT', # [NOT USED HERE]
name = 'LRS_slit_point_nodither', # name given to simulation
scene = 'lrs_pointsource_scene.ini', # name of scene file to input
rel_obsdate = 1.0, # relative observation date (0 = launch, 1 = end of 5 yrs)
POP = 'IMA', # Component on which to center (Imager or MRS)
ConfigPath = 'LRS_SLIT', # Configure the Optical path (MRS sub-band)
Dither = False, # Don't Dither
StartInd = 1, # start index for dither pattern [NOT USED HERE]
NDither = 2, # number of dither positions [NOT USED HERE]
DitherPat = 'ima_recommended_dither.dat', # dither pattern to use [NOT USED HERE]
disperser = 'SHORT', # [NOT USED HERE]
detector = 'SW', # [NOT USED HERE]
mrs_mode = 'SLOW', # [NOT USED HERE]
mrs_exposures = 10, # [NOT USED HERE]
mrs_integrations = 3, # [NOT USED HERE]
mrs_frames = 5, # [NOT USED HERE]
ima_exposures = 1, # number of exposures
ima_integrations = 3, # number of integrations
ima_frames = 15, # number of groups (for MIRI, # Groups = # Frames)
ima_mode = 'FAST', # Imager read mode (default is FAST ~ 2.3 s)
filter = 'P750L', # Imager Filter to use
readDetect = 'FULL' # Portion of detector to read out
)
sim_config_nodither.write('LRS_slit_point_nodither_simconfig.ini')
simulator_config = SimulatorConfig.from_default()
simsim = MiriSimulation(sim_config_nodither, scene_config, simulator_config)
simsim.run()
sim_config = SimConfig.makeSim(
name='lrsslit_nops7', # name given to simulation
scene='lrsslit_nops7_scene.ini', # name of scene file to input
rel_obsdate=0.5, # relative observation date (0 = launch, 1 = end of 5 yrs)
POP='IMA', # Component on which to center (Imager or MRS)
ConfigPath='LRS_SLIT', # Configure the Optical path (MRS sub-band)
Dither=True, # Don't Dither
StartInd=1, # start index for dither pattern [NOT USED HERE]
NDither=2, # number of dither positions [NOT USED HERE]
DitherPat=
'lrs_recommended_dither.dat', # dither pattern to use [NOT USED HERE]
disperser='SHORT', # [NOT USED HERE]
detector='SW', # [NOT USED HERE]
mrs_mode='SLOW', # [NOT USED HERE]
mrs_exposures=10, # [NOT USED HERE]
mrs_integrations=3, # [NOT USED HERE]
mrs_frames=5, # [NOT USED HERE]
ima_exposures=1, # number of exposures
ima_integrations=3, # number of integrations
ima_frames=100, # number of groups (for MIRI, # Groups = # Frames)
ima_mode='FAST', # Imager read mode (default is FAST ~ 2.3 s)
filter='P750L', # Imager Filter to use
readDetect='FULL' # Portion of detector to read out
)
sim_config.write('lrsslit_nops7_sim.ini')
simulator_config = SimulatorConfig.from_default()
sim = MiriSimulation(sim_config, scene_config, simulator_config)
sim.run()
