In: Contributions of the Astronomical Observatory Skalnaté Pleso, vol. 50, no. 2
A. Kochoska - K. Conroy - K. Hambleton - A. Prša
Detaily:
Rok, strany: 2020, 539 - 545
Jazyk: eng
Kľúčové slová:
binaries: eclipsing, methods: numerical, methods: statistical
URL originálneho zdroja: http://www.astro.sk/caosp/Eedition/Abstracts/2020/Vol_50/No_2/pp539-545_abstract.html
O článku:
The parameter space of binary star light curve models is highly complex and degenerate, thus basic fitting approaches often fail to yield a good (and correct) estimate of the parameter values and their uncertainties. On the other hand, we have an increasingly large number of fitting and sampling algorithms available that can be relatively easily interfaced with open-source eclipsing binary packages, like PHOEBE 2. We showcase several fitting methods, including local and global minimizers, nested sampling and machine learning methods, and evaluate their performance on fitting a light curve model with PHOEBE 2.
Ako citovať:
ISO 690:
Kochoska, A., Conroy, K., Hambleton, K., Prša, A. 2020. Beyond DC and MCMC: alternative algorithms and approaches to fitting light curves. In Contributions of the Astronomical Observatory Skalnaté Pleso, vol. 50, no.2, pp. 539-545. 1335-1842. DOI: https://doi.org/10.31577/caosp.2020.50.2.539
APA:
Kochoska, A., Conroy, K., Hambleton, K., Prša, A. (2020). Beyond DC and MCMC: alternative algorithms and approaches to fitting light curves. Contributions of the Astronomical Observatory Skalnaté Pleso, 50(2), 539-545. 1335-1842. DOI: https://doi.org/10.31577/caosp.2020.50.2.539
O vydaní:
Vydavateľ: Astronomical Institute, Slovak Academy of Sciences
Publikované: 1. 3. 2020
Verejná licencia:
