The Debiased Near-Earth Object Population from ATLAS Telescopes
Rogerio Deienno, Larry Denneau, David Nesvorn\'y, David, Vokrouhlick\'y, William F. Bottke, Robert Jedicke, Shantanu Naidu, Steven R., Chesley, Davide Farnocchia, and Paul W. Chodas

TL;DR
This study debiases the NEO population using ATLAS telescope data, revealing differences from CSS and estimating population completeness with implications for hazard detection.
Contribution
It applies debiasing methods to ATLAS data, providing new insights into NEO population estimates and the influence of survey characteristics.
Findings
ATLAS has larger sky coverage than CSS, detecting brighter NEOs.
Debiasing results show similar population estimates to CSS within error margins.
Main source of small NEOs is the ν6 secular resonance, larger NEOs are dominated by the 3:1 resonance.
Abstract
This work is dedicated to debias the Near-Earth Objects (NEO) population based on observations from the Asteroid Terrestrial-impact Last Alert System (ATLAS) telescopes. We have applied similar methods used to develop the recently released NEO model generator (NEOMOD), once debiasing the NEO population using data from Catalina Sky Survey (CSS) G96 telescope. ATLAS is composed of four different telescopes. We first analyzed observational data from each of all four telescopes separately and later combined them. Our results highlight main differences between CSS and ATLAS, e.g., sky coverage and survey power at debiasing the NEO population. ATLAS has a much larger sky coverage than CSS, allowing it to find bright NEOs that would be constantly "hiding" from CSS. Consequently, ATLAS is more powerful than CSS at debiasing the NEO population for H 19. With its intrinsically greater…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Gamma-ray bursts and supernovae · Astro and Planetary Science
