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Search for Lorentz Invariance breaking with a likelihood fit of the PKS 2155-304 flare data taken on MJD 53944
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2011 (Engelska)Ingår i: Astroparticle physics, ISSN 0927-6505, E-ISSN 1873-2852, Vol. 34, nr 9, s. 738-747Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Several models of Quantum Gravity predict Lorentz Symmetry breaking at energy scales approaching the Planck scale (similar to 10(19) GeV). With present photon data from the observations of distant astrophysical sources, it is possible to constrain the Lorentz Symmetry breaking linear term in the standard photon dispersion relations. Gamma Ray Bursts (GRB) and flaring Active Galactic Nuclei (AGN) are complementary to each other for this purpose, since they are observed at different distances in different energy ranges and with different levels of variability. Following a previous publication of the High Energy Stereoscopic System (H.E.S.S.) collaboration [1], a more sensitive event-by-event method consisting of a likelihood fit is applied to PKS 2155-304 flare data of MJD 53944 (July 28, 2006) as used in the previous publication. The previous limit on the linear term is improved by a factor of similar to 3 up to M(QG)(1), > 2.1 X 10(1B) GeV and is currently the best result obtained with blazars. The sensitivity to the quadratic term is lower and provides a limit of M(QG)(q) > 6.4 x 10(10) GeV, which is the best value obtained so far with an AGN and similar to the best limits obtained with GRB. (C) 2011 Elsevier B.V. All rights reserved.

Ort, förlag, år, upplaga, sidor
2011. Vol. 34, nr 9, s. 738-747
Nyckelord [en]
Active galaxies, PKS 2155-304, HESS, Quantum Gravity, Lorentz Invariance breaking
Nationell ämneskategori
Astronomi, astrofysik och kosmologi
Forskningsämne
Fysik, Astropartikelfysik
Identifikatorer
URN: urn:nbn:se:lnu:diva-30244DOI: 10.1016/j.astropartphys.2011.01.007ISI: 000289329100010OAI: oai:DiVA.org:lnu-30244DiVA, id: diva2:707248
Tillgänglig från: 2014-03-24 Skapad: 2013-11-08 Senast uppdaterad: 2017-12-05Bibliografiskt granskad

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