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相关论文: Population synthesis of double neutron stars

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Double neutron stars (DNSs) have been observed as Galactic radio pulsars, and the recent discovery of gravitational waves from the DNS merger GW170817 adds to the known DNS population. We perform rapid population synthesis of massive binary…

Galactic binary neutron stars (BNSs) are a unique laboratory to probe the evolution of BNSs and their progenitors. Here, we use a new version of the population synthesis code SEVN to evolve the population of Galactic BNSs, by modeling the…

Aims. The mass discrepancy between the observed population of double neutron star binaries by radio pulsar observations and gravitational-wave observation requires an explanation. Methods. Binary population synthesis calculations are…

太阳与恒星天体物理 · 物理学 2020-07-22 Matthias U. Kruckow

This thesis work represents the first efforts to combine population synthesis studies of the Galactic isolated neutron stars with deep-learning techniques with the aim of better understanding neutron-star birth properties and evolution. In…

高能天体物理现象 · 物理学 2024-04-25 Michele Ronchi

Using the StarTrack binary population synthesis code we investigate the properties of population of compact object binaries. Taking into account the selection effects we calculate the expected properties of the observed binaries.We analyze…

天体物理学 · 物理学 2009-11-10 T. Bulik , K. Belczynski

We report here on two complementary population synthesis studies which relate directly to the formation and evolution of neutron star binaries in globular clusters. In the first, we compute the probability of retaining neutron stars in…

天体物理学 · 物理学 2007-05-23 Saul Rappaport , Eric Pfahl , Fred Rasio , Philipp Podsiadlowski

We produce synthetic populations of pulsars within our Galaxy and calculate the resulting scale heights as well as the radial and space velocity distributions of the pulsars. Results are presented for isolated pulsars, binary pulsars and…

星系天体物理 · 物理学 2009-11-13 Paul Kiel , Jarrod Hurley

We estimate the observed distribution of chirp masses of compact object binaries for the gravitational wave detectors. The stellar binary evolution is modeled using the {\em StarTrack} population synthesis code. The distribution of the…

天体物理学 · 物理学 2009-11-07 T. Bulik , K. Belczynski

We present a comprehensive description of the population synthesis code StarTrack. The original code has been significantly modified and updated. Special emphasis is placed here on processes leading to the formation and further evolution of…

天体物理学 · 物理学 2009-11-11 K. Belczynski , V. Kalogera , F. A. Rasio , R. E. Taam , A. Zezas , T. Bulik , T. J. Maccarone , N. Ivanova

In this paper we present a brief overview of population synthesis methods with a discussion of their main advantages and disadvantages. In the second part, we present some recent results from synthesis models of close binary compact objects…

天体物理学 · 物理学 2015-05-20 V. Kalogera , K. Belczynski

The work presented here examines populations of double compact binary systems and tidally enhanced collapsars. We make use of BINPOP and BINKIN, two components of a recently developed population synthesis package. Results focus on…

星系天体物理 · 物理学 2015-05-18 Paul Kiel , Jarrod Hurley , Matthew Bailes

Using the StarTrack population synthesis code we compute the distribution of masses of merging compact object (black hole or neutron star) binaries. The shape of the mass distribution is sensitive to some of the parameters governing the…

天体物理学 · 物理学 2009-11-07 T. Bulik , K. Belczynski , V. Kalogera

The detection of gravitational wave events has stimulated theoretical modeling of the formation and evolution of double compact objects (DCOs). However, even for the most studied isolated binary evolution channel, there exist large…

高能天体物理现象 · 物理学 2024-02-08 Zhu-Ling Deng , Xiang-Dong Li , Yong Shao , Kun Xu

Binary population synthesis is the method by which predictions of varied observables of stellar populations can be made from theoretical models of binary stellar evolution. Binary stars have many more possible evolutionary outcomes compared…

太阳与恒星天体物理 · 物理学 2020-06-15 J. J. Eldridge

We have implemented prescriptions for modelling pulsars in the rapid binary population synthesis code COMPAS. We perform a detailed analysis of the double neutron star (DNS) population, accounting for radio survey selection effects. The…

高能天体物理现象 · 物理学 2020-04-22 Debatri Chattopadhyay , Simon Stevenson , Jarrod R. Hurley , Luca J. Rossi , Chris Flynn

We use the StarTrack stellar population synthesis code to analyze properties of double compact object binaries as sources of gravitational waves. Since the distribution of lifetimes of these objects extends up to the Hubble time we conclude…

天体物理学 · 物理学 2009-11-10 T. Bulik , K. Belczynski , B. Rudak

We use the well tested StarTrack binary population synthesis code to examine the properties of the population of compact object binaries. We calculate the distribution of masses and mass ratios taking into account weights introduced by…

天体物理学 · 物理学 2009-11-10 T. Bulik , D. Gondek-Rosinska , K. Belczynski

We employ population synthesis method to model the double neutron star (DNS) population and test various possibilities on natal kick velocities gained by neutron stars after their formation. We first choose natal kicks after standard core…

太阳与恒星天体物理 · 物理学 2018-10-24 Martyna Chruslinska , Krzysztof Belczynski , Tomasz Bulik , Wojciech Gladysz

The observed sample of double neutron-star (NS-NS) binaries presents a challenge to population-synthesis models of compact object formation: the parameters entering into these models must be carefully chosen so as to match (i) the observed…

天体物理学 · 物理学 2009-04-03 R. O'Shaughnessy , C. Kim , T. Frakgos , V. Kalogera , K. Belczynski

Pulsars are rapidly rotating neutron stars that emit radiation across the electromagnetic spectrum, from radio to gamma-rays. We use the rapid binary population synthesis suite COMPAS to model the Galactic population of canonical pulsars.…

高能天体物理现象 · 物理学 2025-10-15 Yuzhe Song , Simon Stevenson , Debatri Chattopadhyay , Joshua Tan , Timothy A. D. Paglione
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