4.6 Article

Discovery of VHE γ-rays from the high-frequency-peaked BL lacertae object RGB J0152+017

期刊

ASTRONOMY & ASTROPHYSICS
卷 481, 期 3, 页码 L103-L107

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EDP SCIENCES S A
DOI: 10.1051/0004-6361:200809603

关键词

galaxies : BL Lacertae objects : individual : RGB J0152+017; gamma rays : observations; galaxies : BL Lacertae objects : general galaxies : active

资金

  1. STFC [PP/E001319/1, ST/F002963/1] Funding Source: UKRI
  2. Science and Technology Facilities Council [PP/E001319/1, ST/F002963/1] Funding Source: researchfish

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Aims. The BL Lac object RGBJ0152+017 (z = 0.080) was predicted to be a very high-energy (VHE; > 100 GeV) gamma-ray source, due to its high X-ray and radio fluxes. Our aim is to understand the radiative processes by investigating the observed emission and its production mechanism using the High Energy Stereoscopic System (HESS) experiment. Methods. We report recent observations of the BL Lac source RGBJ0152+017 made in late October and November 2007 with the HESS array consisting of four imaging atmospheric Cherenkov telescopes. Contemporaneous observations were made in X-rays by the Swift and RXTE satellites, in the optical band with the ATOM telescope, and in the radio band with the Nancay Radio Telescope. Results. A signal of 173 gamma-ray photons corresponding to a statistical significance of 6.6 sigma was found in the data. The energy spectrum of the source can be described by a powerlaw with a spectral index of G = 2.95 +/- 0.36(stat) +/- 0.20(syst). The integral flux above 300GeV corresponds to similar to 2% of the flux of the Crab nebula. The source spectral energy distribution (SED) can be described using a two-component non-thermal synchrotron self-Compton (SSC) leptonic model, except in the optical band, which is dominated by a thermal host galaxy component. The parameters that are found are very close to those found in similar SSC studies in TeV blazars. Conclusions. RGBJ0152+017 is discovered as a source of VHE gamma-rays by HESS The location of its synchrotron peak, as derived from the SED in Swift data, allows clear classification as a high-frequency-peaked BL Lac (HBL).

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