Pith. sign in

REVIEW 1 cited by

The first six months of the Advanced LIGO's and Advanced Virgo's third observing run with GRANDMA

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 1910.11261 v2 pith:4A5DVYIJ submitted 2019-10-24 astro-ph.HE astro-ph.IM

S. Antier , S. Agayeva , V. Aivazyan , S. Alishov , E. Arbouch , A. Baransky , K. Barynova , J. M. Bai
show 69 more authors
S. Basa S. Beradze E. Bertin J. Berthier M. Blazek M. Boer O. Burkhonov A. Burrell A. Cailleau B. Chabert J. C. Chen N. Christensen A. Coleiro B. Cordier D. Corre M. W. Coughlin D. Coward H. Crisp C. Delattre T. Dietrich J. -G. Ducoin P. -A. Duverne G. Marchal-Duva B. Gendre L. Eymar P. Fock-Hang X. Han P. Hello E. J. Howell R. Inasaridze N. Ismailov D. A. Kann G. Kapanadze A. Klotz N. Kochiashvili C. Lachaud N. Leroy A. Le Van Su W. L. Lin W. X. Li P. Lognone R. Marron J. Mo J. Moore R. Natsvlishvili K. Noysena S. Perrigault A. Peyrot D. Samadov T. Sadibekova A. Simon C. Stachie J. P. Teng P. Thierry C. C. Thone Y. Tillayev D. Turpin A. de Ugarte Postigo F. Vachier M. Vardosanidze V. Vasylenko Z. Vidadi X. F. Wang C. J. Wang J. Wei S. Y. Yan J. C. Zhang J. J. Zhang X. H. Zhang
This is my paper · ORCID
classification astro-ph.HEastro-ph.IM
keywords advancedfollow-upgrandmanetworkligoobservationsvirgoalerts
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

We present the Global Rapid Advanced Network Devoted to the Multi-messenger Addicts (GRANDMA). The network consists of 21 telescopes with both photometric and spectroscopic facilities. They are connected together thanks to a dedicated infrastructure. The network aims at coordinating the observations of large sky position estimates of transient events to enhance their follow-up and reduce the delay between the initial detection and the optical confirmation. The GRANDMA program mainly focuses on follow-up of gravitational-wave alerts to find and characterise the electromagnetic counterpart during the third observational campaign of the Advanced LIGO and Advanced Virgo detectors. But it allows for any follow-up of transient alerts involving neutrinos or gamma-ray bursts, even with poor spatial localisation. We present the different facilities, tools, and methods we developed for this network, and show its efficiency using observations of LIGO/Virgo S190425z, a binary neutron star merger candidate. We furthermore report on all GRANDMA follow-up observations performed during the first six months of the LIGO-Virgo observational campaign, and we derive constraints on the kilonova properties assuming that the events' locations were imaged by our telescopes.

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. STDWeb: Simple Transient Detection pipeline for the Web

    astro-ph.IM 2024-11 conditional novelty 6.0 of 10

    The paper introduces STDWeb, an open-source web application that performs astrometric and photometric calibration, image subtraction, and transient detection on arbitrary FITS images.

Pith tools