def main():
sh.init(libwise.get_version(), USAGE)
preprocess = not sh.get_opt_bool('no-crop', 'n')
align = not sh.get_opt_bool('no-align', None)
show_mask = sh.get_opt_bool('show-mask', 'm')
region_files = sh.get_opt_value('reg-file', 'r', multiple=True)
regions = []
try:
regions = [imgutils.Region(file) for file in region_files]
except:
print "Error: failed to read a region file"
sh.usage(True)
args = sh.get_args(min_nargs=1)
config = actions.get_config(False)
ctx = wise.AnalysisContext(config)
actions.select_files(ctx, args)
wise.tasks.view_all(ctx,
preprocess=preprocess,
show_regions=regions,
show_mask=show_mask,
align=align)
def main():
sh.init(libwise.get_version(), USAGE)
pa = sh.get_opt_bool('pa', 'p')
fit = sh.get_opt_bool('fit', 'f')
num = sh.get_opt_bool('num', 'n')
min_link_size = sh.get_opt_value('min-link-size', 'm', default=2)
sh.check(min_link_size, nputils.is_str_number, "min-link-size must be an integer")
min_link_size = float(min_link_size)
args = sh.get_args(min_nargs=2)
name = args[0]
ctx = actions.load(name)
if ctx is None:
print "No results saved with name %s" % name
sh.usage(True)
scales = args[1]
try:
scales = nputils.str2floatlist(scales)
except:
print "Error: invalid scales. Available scales: %s" % ctx.result.get_scales()
sh.usage(True)
fit_fct = None
if fit:
fit_fct = nputils.LinearFct
fit_result = wise.tasks.plot_separation_from_core(ctx, scales=scales, num=num,
min_link_size=min_link_size, fit_fct=fit_fct, pa=pa)
if fit:
for link, fit_fct in fit_result.items():
print "Fit result for link %s: %.2f +- %.2f mas / year" % (link.get_id(), fit_fct.a, fit_fct.ea)
def main():
sh.init(libwise.get_version(), USAGE)
pa = sh.get_opt_bool('pa', 'p')
fit = sh.get_opt_bool('fit', 'f')
num = sh.get_opt_bool('num', 'n')
min_link_size = sh.get_opt_value('min-link-size', 'm', default=2)
sh.check(min_link_size, nputils.is_str_number,
"min-link-size must be an integer")
min_link_size = float(min_link_size)
args = sh.get_args(min_nargs=2)
name = args[0]
ctx = actions.load(name)
if ctx is None:
print "No results saved with name %s" % name
sh.usage(True)
scales = args[1]
try:
scales = nputils.str2floatlist(scales)
except:
print "Error: invalid scales. Available scales: %s" % ctx.result.get_scales(
)
sh.usage(True)
fit_fct = None
if fit:
fit_fct = nputils.LinearFct
fit_result = wise.tasks.plot_separation_from_core(
ctx,
scales=scales,
num=num,
min_link_size=min_link_size,
fit_fct=fit_fct,
pa=pa)
if fit:
for link, fit_fct in fit_result.items():
print "Fit result for link %s: %.2f +- %.2f mas / year" % (
link.get_id(), fit_fct.a, fit_fct.ea)
def main():
sh.init(libwise.get_version(), USAGE)
preprocess = not sh.get_opt_bool('no-crop', 'n')
align = not sh.get_opt_bool('no-align', None)
show_mask = sh.get_opt_bool('show-mask', 'm')
region_files = sh.get_opt_value('reg-file', 'r', multiple=True)
regions = []
try:
regions = [imgutils.Region(file) for file in region_files]
except:
print "Error: failed to read a region file"
sh.usage(True)
args = sh.get_args(min_nargs=1)
config = actions.get_config(False)
ctx = wise.AnalysisContext(config)
actions.select_files(ctx, args)
wise.tasks.view_all(ctx, preprocess=preprocess, show_regions=regions,
show_mask=show_mask, align=align)
def main():
sh.init(libwise.get_version(), USAGE)
velocity = sh.get_opt_bool('velocity', 'V')
args = sh.get_args(min_nargs=1)
config = actions.get_config(False)
ctx = wise.AnalysisContext(config)
actions.select_files(ctx, args)
if velocity:
wise.tasks.info_files_delta(ctx)
else:
wise.tasks.info_files(ctx)
def main():
sh.init(libwise.get_version(), USAGE)
velocity = sh.get_opt_bool('velocity', 'V')
args = sh.get_args(min_nargs=1)
config = actions.get_config(False)
ctx = wise.AnalysisContext(config)
actions.select_files(ctx, args)
if velocity:
wise.tasks.info_files_delta(ctx)
else:
wise.tasks.info_files(ctx)
def main():
sh.init(libwise.get_version(), USAGE)
nsigma = float(sh.get_opt_value('nsigma', 'n', default=0))
nsigma_connected = sh.get_opt_bool('nsigma_connected', 'c')
output_filename = sh.get_opt_value('output', 'o', default='stack_img.fits')
args = sh.get_args(min_nargs=1)
config = actions.get_config(False)
ctx = wise.AnalysisContext(config)
actions.select_files(ctx, args)
stack_img = ctx.build_stack_image(preprocess=False, nsigma=nsigma, nsigma_connected=nsigma_connected)
stack_img.save(output_filename)
print "Stacked images save to %s" % output_filename
def main():
sh.init(libwise.get_version(), USAGE)
pa = sh.get_opt_bool('pa', 'p')
args = sh.get_args(min_nargs=2)
name = args[0]
ctx = actions.load(name)
if ctx is None:
print "No results saved with name %s" % name
sh.usage(True)
scales = args[1]
try:
scales = nputils.str2floatlist(scales)
except:
print "Error: invalid scales. Available scales: %s" % ctx.result.get_scales()
sh.usage(True)
print "Plotting features from scales %s" % scales
wise.tasks.plot_all_features(ctx, scales, pa=pa)
