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Lookup NU author(s): Dr Andrei IgoshevORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Initial distributions of pulsar periods and magnetic fields are essential components of multiple modern astrophysical models. Not enough work has been done to properly constrain these distributions using direct measurements. Here, we aim to fill this gap by rigorously analysing the properties of young neutron stars (NSs) associated to supernova remnants (SNRs). In order to perform this task, we compile a catalogue of 56 NSs uniquely paired to SNRs with known age estimate. Further, we analyse this catalogue using multiple statistical techniques. We found that distribution of magnetic fields and periods for radio pulsars are both well described using the lognormal distribution. The mean magnetic field is log10[B/G] = 12.44 and standard deviation is σB = 0.44. Magnetars and central compact objects do not follow the same distribution. The mean initial period is log10P0[P/s]=−1.04+0.15−0.2 and standard deviation is σp=0.53+0.12−0.08. We show that the normal distribution does not describe the initial periods of NSs sufficiently well. Parameters of the initial period distribution are not sensitive to the exact value of the braking index.
Author(s): Igoshev AP, Frantsuzova A, Gourgouliatos KN, Tsichli S, Konstantinou L, Popov SB
Publication type: Article
Publication status: Published
Journal: Monthly Notices of the Royal Astronomical Society
Year: 2022
Volume: 514
Issue: 3
Pages: 4606-4619
Print publication date: 01/08/2022
Online publication date: 15/06/2022
Acceptance date: 30/05/2022
Date deposited: 22/01/2025
ISSN (print): 0035-8711
ISSN (electronic): 1365-2966
Publisher: Oxford University Press
URL: https://doi.org/10.1093/mnras/stac1648
DOI: 10.1093/mnras/stac1648
Data Access Statement: All data files and scripts in form of jupyter-notebook files are available at github: https://github.com/ignotur/PSR_in_SNR.
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