8 papers
Binary Neutron Stars from the Moon: Early Warnings and Precision Science for the Artemis Era
Anjali B. Yelikar, Karan Jani
Binary neutron star mergers are unique probes of matter at extreme density and standard candles of cosmic expansion. The only such event observed in both gravitational waves and el…
Black Hole Binary Detection Landscape for the Laser Interferometer Lunar Antenna (LILA): Signal-to-Noise Calculations & Science Cases
Tintin Nguyen, Anjali Yelikar, Ryan Nowicki +2
The Laser Interferometer Lunar Antenna (LILA) is a proposed gravitational-wave project aiming to take full advantage of the Moon's environment to access the deci-Hz band and detect…
Astrophysical assumptions and equation of state framework have larger impact on equation of state inference than individual neutron star observations
Atul Kedia, Richard O'Shaughnessy, Leslie Wade +1
The wide range of nuclear densities achieved in neutron stars makes them probes of dense nuclear behavior in the form of the nuclear equation of state (EoS). Studying neutron stars…
Massive Double White Dwarf Binary Mergers from the Moon: Extending the Reach of Multi-messenger Astrophysics
Manuel Pichardo Marcano, Anjali B. Yelikar, Karan Jani
We explore the potential of lunar-based gravitational-wave detectors to broaden the multi-messenger astrophysics landscape by detecting mergers of massive () do…
Laser Interferometer Lunar Antenna (LILA): Advancing the U.S. Priorities in Gravitational-wave and Lunar Science
Karan Jani, Matthew Abernathy, Emanuele Berti +30
The Laser Interferometer Lunar Antenna (LILA) is a next-generation gravitational-wave (GW) facility on the Moon. By harnessing the Moon's unique environment, LILA fills a critical…
Narrowing RIFT: Focused simulation-based-inference for interpreting exceptional GW sources
Katelyn J. Wagner, R. O'Shaughnessy, A. Yelikar +6
The Rapid Iterative FiTting (RIFT) parameter inference algorithm provides a simulation-based inference approach to efficient, highly-parallelized parameter inference for GW sources…