Spatial models of r-process remnants and their gamma-ray detectability

Fuente: arXiv
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Autori principali: Amend, Benjamin, Fryer, Christopher L., Mumpower, Matthew R., Korobkin, Oleg
Natura: Preprint
Pubblicazione: 2024
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author Amend, Benjamin
Fryer, Christopher L.
Mumpower, Matthew R.
Korobkin, Oleg
author_facet Amend, Benjamin
Fryer, Christopher L.
Mumpower, Matthew R.
Korobkin, Oleg
contents We investigate the detectability of gamma-ray emission from long-lived radioactive isotopes in r-process-enriched remnants, focusing on how assumptions about their spatial distribution introduce uncertainty into detection prospects. Using a suite of physically motivated models for the Galactic distribution of kilonova and supernova remnants, we simulate synthetic remnant populations and compute their time-evolving gamma-ray spectra. We then compare these flux predictions to the sensitivity limits of next-generation instruments such as COSI and HEX-P. We find that even under optimistic assumptions, detection probabilities with COSI are extremely low ($\ll 1\%$), and that marginal improvements are only possible with instruments like HEX-P if prior localization is available. The choice of spatial distribution model can lead to more than an order-of-magnitude variation in expected line fluxes at low instrument sensitivities, underscoring the role of spatial modeling as a dominant source of uncertainty. Nevertheless, instrumental capability remains the fundamental bottleneck, and a hybrid mission combining COSI-like sky coverage with HEX-P-level line sensitivity would be required to make detection more probable than not.
format Preprint
id arxiv_https___arxiv_org_abs_2412_05424
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Spatial models of r-process remnants and their gamma-ray detectability
Amend, Benjamin
Fryer, Christopher L.
Mumpower, Matthew R.
Korobkin, Oleg
High Energy Astrophysical Phenomena
We investigate the detectability of gamma-ray emission from long-lived radioactive isotopes in r-process-enriched remnants, focusing on how assumptions about their spatial distribution introduce uncertainty into detection prospects. Using a suite of physically motivated models for the Galactic distribution of kilonova and supernova remnants, we simulate synthetic remnant populations and compute their time-evolving gamma-ray spectra. We then compare these flux predictions to the sensitivity limits of next-generation instruments such as COSI and HEX-P. We find that even under optimistic assumptions, detection probabilities with COSI are extremely low ($\ll 1\%$), and that marginal improvements are only possible with instruments like HEX-P if prior localization is available. The choice of spatial distribution model can lead to more than an order-of-magnitude variation in expected line fluxes at low instrument sensitivities, underscoring the role of spatial modeling as a dominant source of uncertainty. Nevertheless, instrumental capability remains the fundamental bottleneck, and a hybrid mission combining COSI-like sky coverage with HEX-P-level line sensitivity would be required to make detection more probable than not.
title Spatial models of r-process remnants and their gamma-ray detectability
topic High Energy Astrophysical Phenomena
url https://arxiv.org/abs/2412.05424