Observational Inference on the Delay Time Distribution of Short Gamma-ray Bursts
Michael Zevin, Anya E. Nugent, Susmita Adhikari, Wen-fai Fong, Daniel, E. Holz, Luke Zoltan Kelley

TL;DR
This study uses 68 short gamma-ray burst host galaxies to constrain the delay time distribution of neutron star mergers, revealing a steeper power-law slope and larger minimum delay time than previously assumed, informing binary evolution models.
Contribution
It provides novel observational constraints on the delay time distribution of neutron star mergers using gamma-ray burst host galaxies, improving understanding of merger rates and evolution.
Findings
Power-law slope of b1 -1.83 with credible interval
Minimum delay time of b1 184 Myr
Maximum delay time > 7.95 Gyr at 99% credibility
Abstract
The delay time distribution of neutron star mergers provides critical insights into binary evolution processes and the merger rate evolution of compact object binaries. However, current observational constraints on this delay time distribution rely on the small sample of Galactic double neutron stars (with uncertain selection effects), a single multimessenger gravitational wave event, and indirect evidence of neutron star mergers based on -process enrichment. We use a sample of 68 host galaxies of short gamma-ray bursts to place novel constraints on the delay time distribution and leverage this result to infer the merger rate evolution of compact object binaries containing neutron stars. We recover a power-law slope of (median and 90% credible interval) with at 99% credibility, a minimum delay time of $t_\mathrm{min} =…
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Taxonomy
TopicsGamma-ray bursts and supernovae
