Pith. sign in

REVIEW 1 cited by

Noise reduction algorithm for Glueball correlators

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 1403.2936 v2 pith:OCVEZHXR submitted 2014-03-12 hep-lat

Pushan Majumdar , Nilmani Mathur , Sourav Mondal This is my paper · ORCID
classification hep-lat
keywords correlatorsglueballmethodlatticereductionalgorithmcarlochannels
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We present an error reduction method for obtaining glueball correlators from monte carlo simulations of SU(3) lattice gauge theory. We explore the scalar and tensor channels at three different lattice spacings. Using this method we can follow glueball correlators to temporal separations even up to 1 fermi. We estimate the improvement over the naive method and compare our results with existing computations.

Discussion (0). Continue with ORCID 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. Test of a two-level algorithm for the glueball spectrum in $SU(N_c)$ Yang-Mills theory

    hep-lat 2025-01 conditional novelty 4.0 of 10

    A new implementation of the two-level algorithm for SU(N_c) gauge theory produces glueball masses consistent with established lattice values and shows improved error scaling at large time separations.

Pith tools