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Awakening the BALROG: BAyesian Location Reconstruction Of GRBs
KTH, School of Biotechnology (BIO), Centres, Albanova VinnExcellence Center for Protein Technology, ProNova. KTH, School of Engineering Sciences (SCI), Physics. Oskar Klein Ctr Cosmoparticle Phys, SE-10691 Stockholm, Sweden..
Max Planck Inst Extraterr Phys, D-85748 Garching, Germany..
Max Planck Inst Extraterr Phys, D-85748 Garching, Germany..
Imperial Coll London, Stat Sect, Dept Math, London SW7 2AZ, England.;Imperial Coll London, Blackett Lab, Astrophys Grp, Prince Consort Rd, London SW7 2AZ, England.;Stockholm Univ, Dept Astron, AlbaNova, SE-10691 Stockholm, Sweden..
2018 (English)In: Monthly notices of the Royal Astronomical Society, ISSN 0035-8711, E-ISSN 1365-2966, Vol. 476, no 2, p. 1427-1444Article in journal (Refereed) Published
Abstract [en]

The accurate spatial location of gamma-ray bursts (GRBs) is crucial for both accurately characterizing their spectra and follow-up observations by other instruments. The Fermi Gamma-ray Burst Monitor (GBM) has the largest field of view for detecting GRBs as it views the entire unocculted sky, but as a non-imaging instrument it relies on the relative count rates observed in each of its 14 detectors to localize transients. Improving its ability to accurately locate GRBs and other transients is vital to the paradigm of multimessenger astronomy, including the electromagnetic follow-up of gravitational wave signals. Here we present the BAyesian Location Reconstruction Of GRBs (BALROG) method for localizing and characterizing GBM transients. Our approach eliminates the systematics of previous approaches by simultaneously fitting for the location and spectrum of a source. It also correctly incorporates the uncertainties in the location of a transient into the spectral parameters and produces reliable positional uncertainties for both well-localized sources and those for which the GBM data cannot effectively constrain the position. While computationally expensive, BALROG can be implemented to enable quick follow-up of all GBM transient signals. Also, we identify possible response problems that require attention and caution when using standard, public GBM detector response matrices. Finally, we examine the effects of including the uncertainty in location on the spectral parameters of GRB080916C. We find that spectral parameters change and no extra components are required when these effects are included in contrast to when we use a fixed location. This finding has the potential to alter both the GRB spectral catalogues and the reported spectral composition of some well-known GRBs.

Place, publisher, year, edition, pages
OXFORD UNIV PRESS , 2018. Vol. 476, no 2, p. 1427-1444
Keywords [en]
methods: data analysis, methods: statistical, gamma-ray burst: general
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-227750DOI: 10.1093/mnras/stx2853ISI: 000430940900001OAI: oai:DiVA.org:kth-227750DiVA, id: diva2:1205711
Note

QC 20180515

Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-09-14Bibliographically approved

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