2 citations · 3 across the 4 of their papers we have counts for
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Replacing Gaussian Processes with Neural Networks in Pulsar Timing Array Inference of the Gravitational-Wave Background
Shreyas Tiruvaskar, Chris Gordon
Bayesian inference of nanohertz gravitational-wave background models in pulsar timing array analyses often relies on Gaussian-process interpolators to avoid repeated, computational…
Bayesian leave-one-out cross-validation for astrophysical model comparison using gravitational-wave background data
Shreyas Tiruvaskar, Chris Gordon
Previous work showed that ultralight-dark-matter solitons can provide dynamical friction for supermassive black-hole binaries, suppressing low-frequency power in the pulsar-timing-…
Ultralight Dark Matter Constraints from NanoHertz Gravitational Waves
Shreyas Tiruvaskar, Russell Boey, Richard Easther +1
We investigate the impact of ultralight dark matter (ULDM) on the mergers of supermassive black holes (SMBH) and the resulting stochastic gravitational wave background. ULDM is bas…
Self-Interacting Dark-Matter Spikes and the Final-Parsec Problem: Bayesian constraints from the NANOGrav 15-Year Gravitational-Wave Background
Shreyas Tiruvaskar, Chris Gordon
A self-interacting dark-matter (SIDM) density spike around merging supermassive black holes (SMBHs) may be able to supply the dynamical friction needed to shrink binaries from $\si…