Neutron star mass estimates from gamma-ray eclipses in spider millisecond pulsar binaries.
Compact astrophysical objects
High-energy astrophysics
Journal
Nature astronomy
ISSN: 2397-3366
Titre abrégé: Nat Astron
Pays: England
ID NLM: 101738506
Informations de publication
Date de publication:
2023
2023
Historique:
received:
21
01
2022
accepted:
01
12
2022
medline:
25
4
2023
pubmed:
25
4
2023
entrez:
25
04
2023
Statut:
ppublish
Résumé
Reliable neutron star mass measurements are key to determining the equation of state of cold nuclear matter, but such measurements are rare. Black widows and redbacks are compact binaries consisting of millisecond pulsars and semi-degenerate companion stars. Spectroscopy of the optically bright companions can determine their radial velocities, providing inclination-dependent pulsar mass estimates. Although inclinations can be inferred from subtle features in optical light curves, such estimates may be systematically biased due to incomplete heating models and poorly understood variability. Using data from the Fermi Large Area Telescope, we have searched for gamma-ray eclipses from 49 spider systems, discovering significant eclipses in 7 systems, including the prototypical black widow PSR B1957+20. Gamma-ray eclipses require direct occultation of the pulsar by the companion, and so the detection, or significant exclusion, of a gamma-ray eclipse strictly limits the binary inclination angle, providing new robust, model-independent pulsar mass constraints. For PSR B1957+20, the eclipse implies a much lighter pulsar (1.81 ± 0.07 solar masses) than inferred from optical light curve modelling.
Identifiants
pubmed: 37096051
doi: 10.1038/s41550-022-01874-x
pii: 1874
pmc: PMC10119022
doi:
Types de publication
Journal Article
Langues
eng
Pagination
451-462Informations de copyright
© The Author(s) 2023.
Déclaration de conflit d'intérêts
Competing interestsThe authors declare no competing interests.
Références
Science. 2012 Dec 7;338(6112):1314-7
pubmed: 23112297
Astrophys J. 2017 Apr 20;839(No 2):
pubmed: 29651167
Nat Methods. 2020 Mar;17(3):261-272
pubmed: 32015543
Nature. 2020 Sep;585(7825):357-362
pubmed: 32939066