BAKALA, Pavel, Petr ČERMÁK, Zdeněk STUCHLÍK, Gabriel TÖRÖK and Martin URBANEC. Genetic selection of neutron star structure matching the X-ray observations. In WMSCI 2007: 11TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL II, PROCEEDINGS. USA: Int Inst Informat & System, 2007, 4 pp. ISBN 978-1-934272-16-9.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Genetic selection of neutron star structure matching the X-ray observations
Authors BAKALA, Pavel, Petr ČERMÁK, Zdeněk STUCHLÍK, Gabriel TÖRÖK and Martin URBANEC.
Edition USA, WMSCI 2007: 11TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL II, PROCEEDINGS, 4 pp. 2007.
Publisher Int Inst Informat & System
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10308 Astronomy
Confidentiality degree is not subject to a state or trade secret
Organization unit Faculty of Philosophy and Science in Opava
ISBN 978-1-934272-16-9
UT WoS 000254642700010
Keywords in English genetic algorithm, equation of state, neutron star, sexual reproduction
Tags , LC06014, MSM4781305903, sbornik
Tags International impact, Reviewed
Links LC06014, research and development project. MSM4781305903, plan (intention).
Changed by Changed by: Mgr. Pavlína Jalůvková, učo 25213. Changed: 10/12/2020 11:20.
Abstract
Assuming a resonant origin of the quasiperiodic oscillations observed in the X-ray neutron star binary systems, we apply a genetic algorithm method for selection of neutron star models. It was suggested that pairs of kilo-hertz peaks in the X-ray Fourierpower density spectra of some neutron stars reflect a non-linear resonance between two modes of accretion disk oscillations. We investigate this concept for a specific neutron star source. Each neutron star model is characterized by the equation of state (EOS), rotation frequency Q and mass M. The chosen genetic algorithm with sexual reproduction contains one chromosome with restricted lifetime, uniform crossing and genes of type 3/3/5.
PrintDisplayed: 28/4/2024 01:52