Information on resource 'First BIGB'

This catalog presents the 1-100 GeV spectral energy distribution (SED) for a population of 148 high-synchrotron-peaked blazars (HSPs) recently detected with Fermi-LAT as part of the First Brazil-ICRANet Gamma-ray Blazar catalogue (1BIGB). A series of two works describe details on the broadband analysis https://arxiv.org/abs/1609.08501 (paper 1), and the calculation of the gamma-ray SEDs https://arxiv.org/abs/1804.08801 (paper 2). Most of the 1BIGB sources do not appear in previous Fermi-LAT catalogues and their gamma-ray spectral properties are presented here for the first time, representing a significant new extension of the gamma-ray blazar population. Since the 1BIGB sample was originally selected from an excess signal in the 0.3-500 GeV band, the sources stand out as promising TeV blazar candidates, potentially in reach of the forthcoming very-high-energy (VHE) gamma-ray observatory, CTA. The flux estimates presented here are derived considering PASS8 data, integrating over more than 9 years of Fermi-LAT observations. The full broadband fit between 0.3-500 GeV presented in paper 1 for all sources was reevaluated in paper 2, updating the power-law parameters with currently available Fermi-LAT dataset. The importance of these sources in the context of VHE population studies with both current instruments and the future CTA is evaluated in paper 2. To do so, a subsample of 1BIGB sources was selected and had their gamma-ray SEDs extrapolated to the highest energies, properly accounting for absorption due to the extragalactic background light. Those extrapolations were compared to the published CTA sensitivity curves and their detectability by CTA was estimated. Two notable sources from our sample, namely 1BIGB J224910.6-130002 and 1BIGB J194356.2+211821, are discussed in greater detail in paper 2. All gamma-ray SEDs, which are shown here for the first time, are made publicly available via the Brazilian Science Data Center (BSDC) service, maintained at CBPF, in Rio de Janeiro.

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