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20172026
most citedNon-parametric inference of the population of compact binaries from gravitational wave observations using binned Gaussian processes

53 citations · 188 across the 29 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

gr-qc2023★ 4 cited

Measuring Gravitational Wave Speed and Lorentz Violation with the First Three Gravitational-Wave Catalogs

Anarya Ray, Pinchen Fan, Vincent F. He +4

The speed of gravitational waves can be measured with the time delay between gravitational-wave detectors. Our study provides a more precise measurement of using gravit…

gr-qc2023

When to Point Your Telescopes: Gravitational Wave Trigger Classification for Real-Time Multi-Messenger Followup Observations

Anarya Ray, Wanting Niu, Shio Sakon +36

We develop a robust and self-consistent framework to extract and classify gravitational wave candidates from noisy data, for the purpose of assisting in real-time multi-messenger f…

astro-ph.IM2023★ 53 cited

Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences

Leo Tsukada, Prathamesh Joshi, Shomik Adhicary +37

Starting from May 2023, the LIGO Scientific, Virgo and KAGRA Collaboration is planning to conduct the fourth observing run with improved detector sensitivities and an expanded dete…

gr-qc2023★ 3 cited

Performance of the low-latency GstLAL inspiral search towards LIGO, Virgo, and KAGRA's fourth observing run

Becca Ewing, Rachael Huxford, Divya Singh +40

GstLAL is a stream-based matched-filtering search pipeline aiming at the prompt discovery of gravitational waves from compact binary coalescences such as the mergers of black holes…

gr-qc2023★ 53 cited

Non-parametric inference of the population of compact binaries from gravitational wave observations using binned Gaussian processes

Anarya Ray, Ignacio Magaña Hernandez, Siddharth Mohite +2

The observation of gravitational waves from multiple compact binary coalescences by the LIGO-Virgo-KAGRA detector networks has enabled us to infer the underlying distribution of co…