neutron-star

Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.

a python package for gravitational wave analysis with the F-statistic

This will be the first official public release of the VItamin code base. VItamin is a python package for producing fast gravitational wave posterior samples.

Localization of gravitational-wave transients. Mirror of https://git.ligo.org/lscsoft/ligo.skymap

Python package for solving TOV equation and calculating tidal properties

A library for the Physics of Neutron Stars

A python package for Bayesian inference of gravitational-wave data

First Open Gravitational-wave Catalog of Compact Binary Mergers from Advanced LIGO's first observing run.

Mitigation of periodic as well as narrow-band and spiky/bursty RFI from time-domain filterbank data.

Second Open Gravitational-wave Catalog of Compact Binary Mergers. Parameter estimates for O1 and O2 mergers. Sub-threshold BNS/NSBH/BBH candidates.

Third Open Gravitational-wave Catalog of Compact Binary Mergers. Using the data from LIGO and Virgo from 2015-2019, a comprehensive catalog including 57 detected mergers (55 BBH, 2 BNS) and sub-threshold candidates throughout O1, O2, and O3a.

Predictions for LISA detectable BH and NS binaries - Wagg et al. (2022)

Supplementary materials for our GW-GRB search of the first observing run of advanced LIGO.

Constructing neutron star models in the context of Damour-Esposito-Farese (DEF) scalar tensor theory and R^2 gravity model.

Candidates from the O1 + O2 search for eccentric binary neutron star mergers

How heavy are Neutron Stars in binary systems within our Galaxy? A demonstration of how bayesian inference and nested sampling allows us to explore the mass distributions of Galactic Double Neutron Star systems.

A program that automates the data retrieval and data reduction of observational data gathered by NASA's NICER x-ray mission

Pulsar classification app using supervised learning