Rekonstrukce fyzikálních parametrů planetek z velkých přehlídek oblohy

• Název práce v češtině: Rekonstrukce fyzikálních parametrů planetek z velkých přehlídek oblohy
• Název v anglickém jazyce: Reconstruction of asteroid physical properties from large sky surveys
• Akademický rok vypsání: 2021/2022
• Typ práce: disertační práce
• Jazyk práce: čeština
• Ústav: Astronomický ústav UK (32-AUUK)
• Vedoucí / školitel: doc. Mgr. Josef Ďurech, Ph.D.
• Řešitel: skrytý - zadáno a potvrzeno stud. odd.
• Datum přihlášení: 06.10.2021
• Datum zadání: 06.10.2021
• Datum potvrzení stud. oddělením: 06.10.2021

Zásady pro vypracování

Time-resolved photometry of asteroids is a rich source of information from which basic physical properties of asteroids (their shape, rotation period, and spin axis direction) can be reconstructed with the lightcurve inversion technique. This way, thousands of asteroid models were derived and we start to map the distribution of asteroid spins and shapes in the main belt. Another large source of information about asteroids, namely their sizes, is the database of thermal infrared observations obtained with the WISE satellite. Optical and thermal infrared data can be used together to reconstruct all relevant physical parameters of an asteroid model.

The aim of this project is to combine current and future large data sets of available asteroid photometry (mainly from all-sky surveys) to reconstruct shape and spin parameters of asteroids. Combination with thermal infrared data from WISE will be used to scale the shape models to the correct size and also to constrain thermal properties of asteroid surface by thermophysical modeling. Such joint inversion of both optical and infrared measurements has been done only for a small sample of asteroids and applying it to tens of thousands of asteroids with sufficient data will lead to a dramatic increase of the number of asteroid with known (thermo)physical parameters. As part of the thesis, it will be necessary to develop robust algorithms for distinguishing false positive solutions of the inverse problem from the real reliable models. This will be done by applying machine-learning techniques to periodograms and shape models.
Developing a fully automated decision process that would work without the need to check the results visually is inevitable for efficient automated processing of the Large Synoptic Survey Telescope data.

Seznam odborné literatury

Ďurech, J.; et al. (2015a). Asteroid models from multiple data sources. In Michel, P.; et al., editors, Asteroids IV, pages 183–202. University of Arizona Press, Tucson.
Ďurech, J.; et al. (2015b). Asteroids@home – A BOINC distributed computing project for asteroid shape reconstruction. Astronomy and Computing, 13, 80–84.
Ďurech, J.; et al. (2010). DAMIT: a database of asteroid models. Astron. Astrophys., 513, A46.
Kaasalainen, M.; et al. (2002). Asteroid models from disk-integrated data. In Bottke, W. F.; et al., editors, Asteroids III, pages 139–150. University of Arizona Press, Tucson.
Kaasalainen, M.; et al. (2001). Optimization methods for asteroid lightcurve inversion. II. The complete inverse problem. Icarus, 153, 37–51.
LSST Science Collaboration; et al. (2009). LSST Science Book, Version 2.0. arXiv e-prints, page arXiv:0912.0201.