Pith. sign in

REVIEW 1 cited by

Cosmic String Loops Collapsing to Black Holes

Not yet reviewed by Pith; the record is open.

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 gr-qc/9902048 v2 pith:5IZJPTLC submitted 1999-02-17 gr-qc hep-th

classification gr-qchep-th
keywords obtainedpreviouslystringsblackcollapsecosmicdiscrepancyholes
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

We examine the question of collapse of Turok's two-parameter family of cosmic strings. We first perform a classification of the strings according to the specific time(s) at which the minimal string size is reached during one period. We then obtain an exact analytical expression for the probability of collapse to black holes for the Turok strings. Our result has the same general behavior as previously obtained in the literature but we find, in addition, a numerical prefactor that changes the result by three orders of magnitude. Finally we show that our careful computation of the prefactor helps to understand the discrepancy between previously obtained results and, in particular, that for "large" values of $G\mu$, there may not even be a discrepancy. We also give a simple physical argument that can immediately rule out some of the previously obtained results.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

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

  1. Constraints on Primordial Black Holes

    astro-ph.CO 2020-02 accept novelty 4.0 of 10

    Updated compilation shows PBHs are tightly constrained across 55 orders of magnitude in mass, ruling out dominant dark matter contributions except in narrow windows, with many limits carrying observational uncertainties.

Pith tools