Pregled bibliografske jedinice broj: 578859
Constrained Genetic Disentangling of Close Binary Spectra
Constrained Genetic Disentangling of Close Binary Spectra // From Interacting Binaries to Exoplanets: Essential Modeling Tools, Proceedings IAU Symposium 282 / Richards, Mercedes T. ; Hubeny, Ivan (ur.).
Cambridge: Cambridge University Press, 2012. str. 405-406 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 578859 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Constrained Genetic Disentangling of Close Binary Spectra
Autori
Kolbas, Vladimir ; Pavlovski, Krešimir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
From Interacting Binaries to Exoplanets: Essential Modeling Tools, Proceedings IAU Symposium 282
/ Richards, Mercedes T. ; Hubeny, Ivan - Cambridge : Cambridge University Press, 2012, 405-406
Skup
International Astronomical Union Symposium 282
Mjesto i datum
Vysoké Tatry, Slovačka, 18.07.2011. - 22.07.2011
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
genetic algorithm; spectral disentangling; binary stars
Sažetak
The spectral disentangling technique makes possible separation of individual component spectra in binary or multiple systems, and determination of the orbital elements in a self-consistent way. Since its introduction, a number of variants of their basic idea have been implemented. We present yet another ‘direct’ approach using optimization by genetic algorithm. Starting with an initial random flux distribution representing individual spectra, genetic optimization returns both individual component spectra and an optimal set of orbital parameters only constrained by time-series of the observed composite spectra of the binary system. Benchmark tests on V453 Cyg, which is an eclipsing binary with total eclipse, as well as tests on the artificial time-series spectra, have proven that ‘constrained genetic disentangling’ is performing correctly and efficiently, albeit with high demand on CPU time. Since genetic optimization can be easily parallelized, we expect our second release to run on cluster in a less time-consuming way.
Izvorni jezik
Engleski
Znanstvena područja
Fizika
POVEZANOST RADA
Projekti:
119-0000000-3135 - Struktura i evolucija zvijezda (Pavlovski, Krešimir, MZOS ) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb