ligo.skymap¶
LIGO’s stellar cartography department.
The ligo.skymap package provides tools for reading, writing, generating, and
visualizing gravitational-wave probability maps from LIGO and Virgo. It
provides several tools that used to live in LALSuite and elsewhere, but in the form of a
tiny Python package that is easier to install. Some of the key features of this
package are:
- Offline Localization (bayestar-localize-coincs): BAYESTAR, providing rapid, coherent, Bayesian, 3D position reconstruction for compact binary coalescence events
- Posterior Samples to FITS Files (ligo-skymap-from-samples): Create 3D sky maps from posterior sample chains using kernel density estimation
- 2D All-Sky Plots (ligo-skymap-plot): An everyday tool for plotting HEALPix maps
- Module
ligo.skymap.plot: Astronomical mapmaking tools for perfectionists and figure connoisseurs
Quick Start, Tutorials¶
API Documentation¶
- BAYESTAR Rapid Localization (
ligo.skymap.bayestar) - Fire-and-Forget MCMC Sampling (
ligo.skymap.bayestar.ez_emcee) - Coordinate Frames (
ligo.skymap.coordinates) - Posterior Distance Distributions (
ligo.skymap.distance) - HEALPix Trees (
ligo.skymap.healpix_tree) - I/O and Data Format Support (
ligo.skymap.io) - Kernel Density Estimation (
ligo.skymap.kde) - Multi-Order HEALPix Maps (
ligo.skymap.moc) - Plotting and Visualization (
ligo.skymap.plot) - Sky Map Postprocessing (
ligo.skymap.postprocess) - Command Line Interface Support (
ligo.skymap.tool) - Miscellaneous Utilities (
ligo.skymap.util)
Command Line Tools¶
BAYESTAR Rapid Sky Localization¶
Sky Map Visualization¶
Postprocessing¶
- Joint Sky Localization (
ligo-skymap-combine) - Posterior Samples to FITS Files (
ligo-skymap-from-samples) - Plot Summary Statistics (
ligo-skymap-plot-stats) - Gather Summary Statistics (
ligo-skymap-stats) - Flatten Multi-Resolution Sky Maps (
ligo-skymap-flatten) - Unflatten Multi-Resolution Sky Maps (
ligo-skymap-unflatten)