/
link_variable_with_const_floats.py
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/
link_variable_with_const_floats.py
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import os
import shutil
from autolens import conf
from autolens.autofit import non_linear as nl
from autolens.lensing import galaxy
from autolens.lensing import galaxy_model as gm
from autolens.pipeline import phase as ph
from autolens.pipeline import pipeline as pl
from autolens.profiles import light_profiles as lp
from test.integration import tools
dirpath = os.path.dirname(os.path.realpath(__file__))
dirpath = os.path.dirname(dirpath)
output_path = '{}/integration_output'.format(dirpath)
try:
shutil.rmtree(output_path)
except FileNotFoundError:
pass
def pipeline():
pipeline_name = "link_variable_with_constants_to_floats"
data_name = '/link_variable_with_constants_to_floats'
tools.reset_paths(data_name, pipeline_name, output_path)
sersic = lp.EllipticalSersic(centre=(0.0, 0.0), axis_ratio=0.8, phi=90.0, intensity=1.0, effective_radius=1.3,
sersic_index=3.0)
lens_galaxy = galaxy.Galaxy(light_profile=sersic)
tools.simulate_integration_image(data_name=data_name, pixel_scale=0.5, lens_galaxies=[lens_galaxy],
source_galaxies=[], target_signal_to_noise=10.0)
image = tools.load_image(data_name=data_name, pixel_scale=0.5)
pipeline = make_pipeline(pipeline_name=pipeline_name)
results = pipeline.run(image=image)
for result in results:
print(result)
def make_pipeline(pipeline_name):
class MMPhase(ph.LensPlanePhase):
def pass_priors(self, previous_results):
self.lens_galaxies[0].sersic.axis_ratio = 0.2
self.lens_galaxies[0].sersic.phi = 90.0
phase1 = MMPhase(lens_galaxies=[gm.GalaxyModel(sersic=lp.EllipticalSersic)],
optimizer_class=nl.MultiNest, phase_name="{}/phase1".format(pipeline_name))
phase1.optimizer.n_live_points = 20
phase1.optimizer.sampling_efficiency = 0.8
class MMPhase2(ph.LensPlanePhase):
def pass_priors(self, previous_results):
self.lens_galaxies = previous_results[0].variable.lens_galaxies
phase2 = MMPhase2(lens_galaxies=[gm.GalaxyModel(sersic=lp.EllipticalSersic)],
optimizer_class=nl.MultiNest, phase_name="{}/phase2".format(pipeline_name))
phase2.optimizer.n_live_points = 20
phase2.optimizer.sampling_efficiency = 0.8
return pl.PipelineImaging(pipeline_name, phase1, phase2)
if __name__ == "__main__":
pipeline()