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Título

Ground-based observability of Dimorphos DART impact ejecta: photometric predictions

AutorMoreno, Fernando CSIC ORCID; Campo Bagatin, Adriano; Tancredi, Gonzalo; Liu, Po-Yen; Domínguez, Bruno
Palabras claveMethods: numerical
Asteroids: general
Fecha de publicaciónsep-2022
EditorOxford University Press
CitaciónMonthly Notices of the Royal Astronomical Society 515(2): 2178-2187 (2022)
ResumenThe Double Asteroid Redirection Test (DART) is a NASA mission intended to crash a projectile on Dimorphos, the secondary component of the binary (65803) Didymos system, to study its orbit deflection. As a consequence of the impact, a dust cloud will be be ejected from the body, potentially forming a transient coma- or comet-like tail on the hours or days following the impact, which might be observed using ground-based instrumentation. Based on the mass and speed of the impactor, and using known scaling laws, the total mass ejected can be roughly estimated. Then, with the aim to provide approximate expected brightness levels of the coma and tail extent and morphology, we have propagated the orbits of the particles ejected by integrating their equation of motion, and have used a Monte Carlo approach to study the evolution of the coma and tail brightness. For typical power-law particle size distribution of index –3.5, with radii rrmin = 1 μm and rmax = 1 cm, and ejection speeds near 10 times the escape velocity of Dimorphos, we predict an increase of brightness of ∼3 magnitudes right after the impact, and a decay to pre-impact levels some 10 d after. That would be the case if the prevailing ejection mechanism comes from the impact-induced seismic wave. However, if most of the ejecta is released at speeds of the order of ≳100 m s−1, the observability of the event would reduce to a very short time span, of the order of 1 d or shorter. © The Author(s) 2022. Published by Oxford University Press on behalf of Royal Astronomical Society.
DescripciónThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Versión del editorhttp://dx.doi.org/10.1093/mnras/stac1849
URIhttp://hdl.handle.net/10261/286247
DOI10.1093/mnras/stac1849
ISSN0035-8711
E-ISSN1365-2966
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