def get_turbulenceProfile_information(configuration,
air_mass,
tas,
pix_arc,
shwfs_centroids,
input_matrix=False):
conf = capt.turbulence_profiler(configuration)
results = conf.perform_turbulence_profiling(air_mass, tas, pix_arc,
shwfs_centroids)
generate_matrix = capt.turbulence_profiler.make_covariance_matrix(
conf,
air_mass,
tas,
conf.layer_alt,
results.r0,
results.L0,
results.tt_track,
results.lgs_track,
results.shwfs_shift,
results.shwfs_rot,
l3s1_transform=False,
target_array='Covariance Matrix',
tt_track_present=results.tt_track_present,
offset_present=results.offset_present)
return results, generate_matrix
def generate_covariance(configuration,
air_mass,
tas,
pix_arc,
shwfs_centroids,
input_matrix=False):
conf = capt.turbulence_profiler(configuration)
roi = capt.turbulence_profiler.make_covariance_roi(conf,
conf.pupil_mask,
air_mass,
tas,
conf.gs_alt,
conf.layer_alt,
conf.guess_r0,
conf.guess_L0,
conf.tt_track,
False,
conf.shwfs_shift,
conf.shwfs_rot,
l3s1_transform=False,
tt_track_present=False,
lgs_track_present=False,
offset_present=True)
mat = 0
# mat = capt.turbulence_profiler.make_covariance_matrix(
# conf, conf.pupil_mask, air_mass, tas, conf.gs_alt, conf.layer_alt, conf.guess_r0, conf.guess_L0, conf.tt_track,
# False, conf.shwfs_shift, conf.shwfs_rot, l3s1_transform=False, target_array='Covariance Map ROI',
# tt_track_present=False, lgs_track_present=False, offset_present=False)
return mat, roi
def get_turb_profile(turb_conf,
air_mass,
tas,
pix_arc,
shwfs_centroids,
input_matrix=False):
turb_conf = capt.turbulence_profiler(turb_conf)
turb_results = turb_conf.perform_turbulence_profiling(
air_mass, tas, pix_arc, shwfs_centroids)
return turb_results
def get_turbulenceProfile_information(configuration,
air_mass,
tas,
pix_arc,
shwfs_centroids,
input_matrix=False):
conf = capt.turbulence_profiler(configuration)
input_matrix = capt.turbulence_profiler.make_covariance_matrix(
conf, conf.pupil_mask, air_mass, tas, conf.gs_alt, numpy.array([0]),
numpy.array([0.8]), conf.guess_L0, conf.tt_track, None,
conf.shwfs_shift, conf.shwfs_rot)
conf = capt.turbulence_profiler(configuration)
results = conf.perform_turbulence_profiling(air_mass,
tas,
pix_arc,
shwfs_centroids,
cov_matrix=input_matrix)
return results
def generate_covariance(configuration,
air_mass,
tas,
pix_arc,
shwfs_centroids,
input_matrix=False):
conf = capt.turbulence_profiler(configuration)
st = time.time()
mat = capt.turbulence_profiler.make_covariance_matrix(
conf,
conf.pupil_mask,
air_mass,
tas,
conf.gs_alt,
conf.layer_alt,
conf.guess_r0,
conf.guess_L0,
conf.tt_track,
False,
conf.shwfs_shift,
conf.shwfs_rot,
l3s1_transform=False,
target_array='Covariance Matrix',
tt_track_present=False,
offset_present=False)
print(time.time() - st)
roi = numpy.nan
roi = capt.turbulence_profiler.make_covariance_roi(conf,
conf.pupil_mask,
air_mass,
tas,
conf.gs_alt,
conf.layer_alt,
conf.guess_r0,
conf.guess_L0,
conf.tt_track,
False,
conf.shwfs_shift,
conf.shwfs_rot,
l3s1_transform=False,
tt_track_present=True,
offset_present=False)
pyplot.figure()
pyplot.imshow(mat)
pyplot.figure()
pyplot.imshow(roi)
return mat, roi