sim_image, sim_image2 = simulate(catalog_in=catalog_in,
spectra_templates=spectra_templates,
dispersion_relation=dispersion_relation,
sensitivity_fct=sensitivity_fct,
exposure_time=exposure_time,
bkgr_value=bkgr_value)
spectra, spectra_props = extract_spectra(
image=sim_image,
catalog_in=catalog_in,
dispersion_relation=dispersion_relation,
sensitivity_fct=sensitivity_fct,
exposure_time=exposure_time)
redshifts, reliabilities = spectrum_redshift(
spectra=spectra,
galaxy_templates=galaxy_templates,
redshift_corr=redshift_corr)
catalog = redshift_catalog(redshifts=redshifts,
redshift_reliabilities=reliabilities)
return sim_image, sim_image2, spectra, spectra_props, catalog
if __name__ == '__main__':
from euclidwf.framework.graph_builder import build_graph
pydron_graph = build_graph(simulate_and_reduce_image)
print str(pydron_graph)
visualizer.visualize_graph(pydron_graph)
spectra_templates=spectra_templates,
dispersion_relation=dispersion_relation,
sensitivity_fct=sensitivity_fct,
exposure_time=exposure_time,
bkgr_value=bkgr_value)
spectra, spectra_props = extract_spectra(image=sim_image,
catalog_in=catalog_in,
dispersion_relation=dispersion_relation,
sensitivity_fct=sensitivity_fct,
exposure_time=exposure_time)
redshifts, reliabilities = spectrum_redshift(spectra=spectra,
galaxy_templates=galaxy_templates,
redshift_corr=redshift_corr)
catalog = redshift_catalog(redshifts=redshifts,
redshift_reliabilities=reliabilities)
return sim_image, sim_image2, spectra, spectra_props, catalog
if __name__ == '__main__':
from euclidwf.framework.graph_builder import build_graph
pydron_graph=build_graph(simulate_and_reduce_image)
print str(pydron_graph)
visualizer.visualize_graph(pydron_graph)
def visualize(result):
g = pipeline_exec.traverser.get_graph()
visualizer.visualize_graph(g)
return result
'''
Created on Mar 26, 2015
@author: martin.melchior
'''
from euclidwf.framework.workflow_dsl import pipeline
from euclidwf.utilities import visualizer
from vis import vis_correct_dark, vis_correct_flat
@pipeline(outputs=('quadrant_flat_corr', 'hot_pixels_map', 'dead_pixels_map'))
def vis_two_steps(quadrant, master_dark, master_flat, control_params):
quadrant_dark_corr, hot_pixels_map = vis_correct_dark(
quadrant=quadrant,
master_dark=master_dark,
control_params=control_params)
quadrant_flat_corr, dead_pixels_map = vis_correct_flat(
quadrant=quadrant_dark_corr,
master_flat=master_flat,
control_params=control_params)
return quadrant_flat_corr, hot_pixels_map, dead_pixels_map
if __name__ == '__main__':
from euclidwf.framework.graph_builder import build_graph
visualizer.visualize_graph(build_graph(vis_two_steps))
def visualize(result):
g = pipeline_exec.traverser.get_graph()
visualizer.visualize_graph(g)
return result
'''
Created on Mar 26, 2015
@author: martin.melchior
'''
from euclidwf.framework.workflow_dsl import pipeline
from euclidwf.utilities import visualizer
from vis import vis_correct_dark, vis_correct_flat
@pipeline(outputs=('quadrant_flat_corr', 'hot_pixels_map', 'dead_pixels_map'))
def vis_two_steps(quadrant, master_dark, master_flat, control_params):
quadrant_dark_corr, hot_pixels_map = vis_correct_dark(quadrant=quadrant,
master_dark=master_dark,
control_params=control_params)
quadrant_flat_corr, dead_pixels_map = vis_correct_flat(quadrant=quadrant_dark_corr,
master_flat=master_flat,
control_params=control_params)
return quadrant_flat_corr, hot_pixels_map, dead_pixels_map
if __name__ == '__main__':
from euclidwf.framework.graph_builder import build_graph
visualizer.visualize_graph(build_graph(vis_two_steps))
