near_redshift : float
The near (lowest) redshift for the light cone.
far_redshift : float
The far (highest) redshift for the light cone.
observer_redshift : float
The redshift of the observer.
Default: 0.0.
use_minimum_datasets : bool
If True, the minimum number of datasets is used to connect the initial
and final redshift. If false, the light cone solution will contain
as many entries as possible within the redshift interval.
Default: True.
deltaz_min : float
Specifies the minimum between consecutive datasets in
the returned list.
Default: 0.0.
minimum_coherent_box_fraction : float
Used with use_minimum_datasets set to False, this parameter specifies
the fraction of the total box size to be traversed before rerandomizing
the projection axis and center. This was invented to allow light cones
with thin slices to sample coherent large scale structure, but in
practice does not work so well. Try setting this parameter to 1 and
see what happens.
Default: 0.0.
time_data : bool
Whether or not to include time outputs when gathering
datasets for time series.
Default: True.
redshift_data : bool
Whether or not to include redshift outputs when gathering
datasets for time series.
Default: True.
find_outputs : bool
Whether or not to search for datasets in the current
directory.
Default: False.
set_parameters : dict
Dictionary of parameters to attach to ds.parameters.
Default: None.
output_dir : string
The directory in which images and data files will be written.
Default: “LC”.
output_prefix : string
The prefix of all images and data files.
Default: “LightCone”.
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