Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. PSR J0952−0607: The Fastest and Heaviest Known Galactic Neutron Star

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2022

PSR J0952−0607: The Fastest and Heaviest Known Galactic Neutron Star

0 Datasets

0 Files

en
2022
Vol 934 (2)
Vol. 934
DOI: 10.3847/2041-8213/ac8007

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Alexei V Filippenko
Alexei V Filippenko

University of California, Berkeley

Verified
Roger W. Romani
D. Kandel
Alexei V Filippenko
+2 more

Abstract

Abstract We describe Keck-telescope spectrophotometry and imaging of the companion of the “black widow” pulsar PSR J0952−0607, the fastest known spinning neutron star (NS) in the disk of the Milky Way. The companion is very faint at minimum brightness, presenting observational challenges, but we have measured multicolor light curves and obtained radial velocities over the illuminated “day” half of the orbit. The model fits indicate system inclination i = 59.°8 ± 1.°9 and a pulsar mass M NS = 2.35 ± 0.17 M ⊙ , the largest well-measured mass found to date. Modeling uncertainties are small, since the heating is not extreme; the companion lies well within its Roche lobe and a simple direct-heating model provides the best fit. If the NS started at a typical pulsar birth mass, nearly 1 M ⊙ has been accreted; this may be connected with the especially low intrinsic dipole surface field, estimated at 6 × 10 7 G. Joined with reanalysis of other black widow and redback pulsars, we find that the minimum value for the maximum NS mass is M max > 2.19 M ⊙ (2.09 M ⊙ ) at 1 σ (3 σ ) confidence. This is ∼ 0.15 M ⊙ heavier than the lower limit on M max implied by the white dwarf–pulsar binaries measured via radio Shapiro-delay techniques.

How to cite this publication

Roger W. Romani, D. Kandel, Alexei V Filippenko, Thomas G. Brink, WeiKang Zheng (2022). PSR J0952−0607: The Fastest and Heaviest Known Galactic Neutron Star. , 934(2), DOI: https://doi.org/10.3847/2041-8213/ac8007.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2022

Authors

5

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3847/2041-8213/ac8007

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access