Rotation Periods of Asteroids Determined With Bootstrap Convex Inversion From ATLAS Photometry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10453449" target="_blank" >RIV/00216208:11320/22:10453449 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=evMp2GN3RO" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=evMp2GN3RO</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fspas.2022.809771" target="_blank" >10.3389/fspas.2022.809771</a>
Alternative languages
Result language
angličtina
Original language name
Rotation Periods of Asteroids Determined With Bootstrap Convex Inversion From ATLAS Photometry
Original language description
The rotation period is one of the fundamental physical characteristics of asteroids. It can be determined from photometric measurements by standard methods of time-series period analysis or by creating a physical model of an asteroid with the rotation period being one of the fitted parameters. We used the latter approach to determine the sidereal rotation period for more than 5000 asteroids, out of which about 1600 are those for which their period was not known. We processed photometric measurements of about 100,000 asteroids from the ATLAS survey with the light curve inversion technique in the Asteroids@home project to search for the best-fit rotation period. This was repeated 25 times with randomly resampled-bootstrapped-data. For thousands of asteroids, their best-fit period was the same for most of the bootstrapped data sets; thus, their rotation period was determined with a high degree of reliability.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10308 - Astronomy (including astrophysics,space science)
Result continuities
Project
<a href="/en/project/GA20-08218S" target="_blank" >GA20-08218S: Machine learning algorithms applied to asteroid shape reconstruction in the era of big data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Astronomy and Space Sciences [online]
ISSN
2296-987X
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
únor
Country of publishing house
CH - SWITZERLAND
Number of pages
7
Pages from-to
809771
UT code for WoS article
000766339800001
EID of the result in the Scopus database
2-s2.0-85126039205