ADAM: a general method for using various data types in asteroid reconstruction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10315538" target="_blank" >RIV/00216208:11320/15:10315538 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1051/0004-6361/201425259" target="_blank" >http://dx.doi.org/10.1051/0004-6361/201425259</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/0004-6361/201425259" target="_blank" >10.1051/0004-6361/201425259</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ADAM: a general method for using various data types in asteroid reconstruction

Popis výsledku v původním jazyce

We introduce ADAM, the All-Data Asteroid Modelling algorithm. ADAM is simple and universal since it handles all disk-resolved data types (adaptive optics or other images, interferometry, and range-Doppler radar data) in a uniform manner via the 2D Fourier transform, enabling fast convergence in model optimization. The resolved data can be combined with disk-integrated data (photometry). In the reconstruction process, the difference between each data type is only a few code lines defining the particulargeneralized projection from 3D onto a 2D image plane. Occultation timings can be included as sparse silhouettes, and thermal infrared data are efficiently handled with an approximate algorithm that is sufficient in practice because of the dominance of the high-contrast (boundary) pixels over the low-contrast (interior) pixels. This is of particular importance to the raw ALMA data that can be directly handled by ADAM without having to construct the standard image. We study the reliability

Název v anglickém jazyce

ADAM: a general method for using various data types in asteroid reconstruction

Popis výsledku anglicky

We introduce ADAM, the All-Data Asteroid Modelling algorithm. ADAM is simple and universal since it handles all disk-resolved data types (adaptive optics or other images, interferometry, and range-Doppler radar data) in a uniform manner via the 2D Fourier transform, enabling fast convergence in model optimization. The resolved data can be combined with disk-integrated data (photometry). In the reconstruction process, the difference between each data type is only a few code lines defining the particulargeneralized projection from 3D onto a 2D image plane. Occultation timings can be included as sparse silhouettes, and thermal infrared data are efficiently handled with an approximate algorithm that is sufficient in practice because of the dominance of the high-contrast (boundary) pixels over the low-contrast (interior) pixels. This is of particular importance to the raw ALMA data that can be directly handled by ADAM without having to construct the standard image. We study the reliability

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BN - Astronomie a nebeská mechanika, astrofyzika

OECD FORD obor

—

Projekt

<a href="/cs/project/GAP209%2F10%2F0537" target="_blank" >GAP209/10/0537: Studium planetek inverzními metodami</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Astronomy and Astrophysics

ISSN

0004-6361

e-ISSN

—

Svazek periodika

576

Číslo periodika v rámci svazku

Neuveden

Stát vydavatele periodika

FR - Francouzská republika

Počet stran výsledku

11

Strana od-do

—

Kód UT WoS článku

000351877600008

EID výsledku v databázi Scopus

2-s2.0-84925251323