The redshift of the lens and source galaxies are also input (see `examples/model/customize/redshift.py`) for a
description of what inputting redshifts into **PyAutoLens** does.
"""
setup = al.SetupPipeline(
path_prefix=path.join("transdimensional", dataset_name),
redshift_lens=0.5,
redshift_source=1.0,
setup_mass=setup_mass,
setup_source=setup_source,
)
"""
__Pipeline Creation__
To create a pipeline we import it from the pipelines folder and run its `make_pipeline` function, inputting the
`Setup` and `SettingsPhase` above.
"""
from pipelines import mass_total__source_inversion
pipeline = mass_total__source_inversion.make_pipeline(
setup=setup, settings=settings, real_space_mask=real_space_mask)
"""
__Pipeline Run__
Running a pipeline is the same as running a phase, we simply pass it our lens dataset and mask to its run function.
"""
pipeline.run(dataset=interferometer, mask=visibilities_mask)
The redshift of the lens and source galaxies are also input (see `examples/model/customize/redshift.py`) for a
description of what inputting redshifts into **PyAutoLens** does.
"""
setup = al.SetupPipeline(
path_prefix=path.join("transdimensional", dataset_name),
redshift_lens=0.5,
redshift_source=1.0,
setup_mass=setup_mass,
setup_source=setup_source,
)
"""
__Pipeline Creation__
To create a pipeline we import it from the pipelines folder and run its `make_pipeline` function, inputting the
`Setup` and `SettingsPhase` above.
"""
from pipelines import mass_total__source_inversion
pipeline = mass_total__source_inversion.make_pipeline(setup=setup,
settings=settings)
"""
__Pipeline Run__
Running a pipeline is the same as running a phase, we simply pass it our lens dataset and mask to its run function.
"""
pipeline.run(dataset=imaging, mask=mask)