Pith. sign in

REVIEW 1 cited by

BlackHoleCam -- Testing general relativity with pulsars orbiting Sagittarius A*

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2306.01496 v1 pith:M47D7QZH submitted 2023-06-02 astro-ph.HE

BlackHoleCam -- Testing general relativity with pulsars orbiting Sagittarius A*

Ralph P. Eatough , Gregory Desvignes , Kuo Liu , Robert S. Wharton , Aristedis Noutsos , Pablo Torne , Ramesh Karuppusamy , Lijing Shao
show 3 more authors
Michael Kramer Heino Falcke Luciano Rezzolla
This is my paper
classification astro-ph.HE
keywords blackholecamgeneralpulsarscentregalacticorbitingrelativitysagittarius
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

BlackHoleCam is a project funded by a European Research Council Synergy Grant to build a complete astrophysical description of nearby supermassive black holes by using a combination of radio imaging, pulsar observations, stellar astrometry and general relativistic magneto-hydrodynamic models. BlackHoleCam scientists are active partners of the Event Horizon Telescope Consortium. In this talk I will discuss the use of pulsars orbiting Sagittarius A* for tests of General Relativity, the current difficulties in detecting such sources, recent results from the Galactic Centre magnetar PSR J1745-2900 and how BlackHoleCam aims to search for undiscovered pulsars in the Galactic Centre.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. 4D Neural Voxel Splatting: Dynamic Scene Rendering with Voxelized Guassian Splatting

    cs.CV 2025-11 unverdicted novelty 5.0

    4D Neural Voxel Splatting uses a compact neural voxel set with deformation fields instead of per-timestamp Gaussians to cut memory and speed training for dynamic scene rendering while keeping image quality.