ExposureCatalog

class uvex_transients.simulation.exposure_catalog.ExposureCatalog(table: QTable, nside: int, order: str, time_bins: Time)

Per-(transient type, time bin) effective exposure, tagged by type and time bin.

Produced by compute_effective_exposure().

Methods

column(name)	Return a table column as a plain array, rather than an astropy.table.Column/Quantity view.
from_disk(path[, table_format])	Read an exposure catalog back from disk, as written by to_disk().
get_expected_events_between(t_start, t_end)	Compute the expected event count within [t_start, t_end), grouped by transient type.
get_exposure_between(t_start, t_end[, ...])	Effective exposure accrued within [t_start, t_end), grouped by transient type.
rebin(time_bins)	Rebin this catalog onto an arbitrary new time binning.
to_disk(path[, table_format, overwrite])	Write this catalog's table to disk as ECSV, with its provenance in the header.

Attributes

coverage_fraction	Each transient type's time- and sky-averaged coverage fraction.
duration	Each row's bin width.
effective_exposure	Each row's effective exposure (solid_angle * duration).
expected_events	Each row's expected event count (effective_exposure * integrated_rate).
n_pixels_visited	Each row's number of visited HEALPix pixels.
solid_angle	Each row's visited footprint solid angle.
t_end	Each row's bin end time.
t_start	Each row's bin start time.
time_bin	Each row's time-bin index.
total_duration	The full window time_bins spans (last edge minus first).
total_effective_exposure	Sum effective_exposure across every time bin, grouped by transient type.
total_expected_events	Sum expected_events across every time bin, grouped by transient type.
transient_type	Each row's transient-type name.
table	One row per (transient type, time bin).
nside	HEALPix resolution the visited footprint was queried at.
order	HEALPix pixel ordering scheme ("nested" or "ring").
time_bins	The n + 1 bin edges exposure was tabulated within.