Volume uncertainty of (7) Iris shape models from disc-resolved images - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Monthly Notices of the Royal Astronomical Society Année : 2020

Volume uncertainty of (7) Iris shape models from disc-resolved images

M. Ferrais
L Jorda
P. Vernazza
B. Carry
M. Viikinkoski
M. Brož
C. Dumas
A Vigan
Olivier Witasse
B. Yang

Résumé

High angular resolution disc-resolved images of (7) Iris collected by VLT/SPHERE instrument are allowed for the detailed shape modelling of this large asteroid revealing its surface features. If (7) Iris did not suffer any events catastrophic enough to disrupt the body (which is very likely) by studying its topography, we might get insights into the early Solar system's collisional history. When it comes to internal structure and composition, thoroughly assessing the volume and density uncertainties is necessary. In this work, we propose a method of uncertainty calculation of asteroid shape models based on light curve and adaptive optics (AO) images. We apply this method on four models of (7) Iris produced from independent Shaping Asteroids using Genetic Evolution and All-Data Asteroid Modelling inversion techniques and multiresolution photoclinometry by deformation. Obtained diameter uncertainties stem from both the observations from which the models were scaled and the models themselves. We show that despite the availability of high-resolution AO images, the volume and density of (7) Iris have substantial error bars that were underestimated in the previous studies.
Fichier principal
Vignette du fichier
staa3153.pdf (10.9 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-02988321 , version 1 (29-03-2021)

Identifiants

Citer

G. Dudziński, E. Podlewska-Gaca, P. Bartczak, S. Benseguane, M. Ferrais, et al.. Volume uncertainty of (7) Iris shape models from disc-resolved images. Monthly Notices of the Royal Astronomical Society, 2020, 499 (3), pp.4545-4560. ⟨10.1093/mnras/staa3153⟩. ⟨hal-02988321⟩
229 Consultations
16 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More