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DOE OSTI · 3427055

Mapping Gamma-Ray Bursts: Distinguishing Progenitor Systems Through Machine Learning

Espinoza, Sharleen Nicole [Los Alamos National Laboratory]·Ronning, Nicole Marie [Los Alamos National Laboratory] (ORCID:0000000317077998)·Negro, Michela [Louisiana State University]·Cheng, Roseanne Marie [Los Alamos National Laboratory] (ORCID:0000000248548636)·Cibrario, Nicolo [University of Torino]·Burns, Eric [Louisiana State University]
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79 ASTRONOMY AND ASTROPHYSICS

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Espinoza, Sharleen Nicole [Los Alamos National Laboratory], Ronning, Nicole Marie [Los Alamos National Laboratory] (ORCID:0000000317077998), Negro, Michela [Louisiana State University], Cheng, Roseanne Marie [Los Alamos National Laboratory] (ORCID:0000000248548636), Cibrario, Nicolo [University of Torino], Burns, Eric [Louisiana State University]. 2026-03-20. Mapping Gamma-Ray Bursts: Distinguishing Progenitor Systems Through Machine Learning. https://doi.org/10.3847/2515-5172%2Fae031c

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Unraveling TeV halos with the Cherenkov Telescope Array

Pulsars are observed to emit bright and spatially extended gamma-ray emission at multi-TeV energies. These so-called "TeV halos" are now understood to be a nearly universal feature of middle-aged pulsars. However, many of the key physical processes that govern these systems, particularly those affecting particle diffusion, remain poorly constrained. We aim to evaluate the ability of the Cherenkov Telescope Array (CTA) to probe the physical properties of TeV halos, with a focus on the nearby and well-studied case of the Geminga pulsar. We simulate gamma-ray emission from various TeV halo models, incorporating different assumptions for the injected electron spectrum, spin-down evolution, and energy-dependent diffusion. These models are then used to forecast CTA's sensitivity to spectral and spatial differences, based on realistic mock observations and instrument response simulations. We find that CTA will be able to distinguish between a wide range of TeV halo models that are currently consistent with existing data. In particular, CTA observations can constrain the normalization, energy dependence, and spatial extent of the diffusion coefficient surrounding Geminga, as well as the spectral shape of the injected electron population.

79 ASTRONOMY AND ASTROPHYSICS↗