Using the Markov Chain Monte Carlo method to study the physical properties GeV-TeV BL Lac objects
Longhua Qin, Jiancheng Wang, Chuyuan Yang, Zunli Yuan, Shiju Kang and, Jirong Mao

TL;DR
This study uses MCMC to model the physical properties of 46 GeV-TeV BL Lac objects, revealing differences from FSRQs and supporting the blazar sequence scenario through spectral and jet power analysis.
Contribution
First application of MCMC to fit SEDs of GeV-TeV BL Lac objects, providing detailed jet parameters and insights into their physical properties.
Findings
BL Lac objects have weaker magnetic fields and larger Doppler factors than FSRQs.
Jet powers are a small fraction of the total jet energy, indicating low radiative efficiency.
Anti-correlations support the blazar sequence scenario.
Abstract
We fit the spectral energy distributions (SEDs) of 46 GeV - TeV BL Lac objects in the frame of leptonic one-zone synchrotron self-Compton (SSC) model and investigate the physical properties of these objects. We use the Markov Chain Monte Carlo (MCMC) method to obtain the basic parameters, such as magnetic field (B), the break energy of the relativistic electron distribution () and the electron energy spectral index. Based on the modeling results, we support the following scenarios on GeV-TeV BL Lac objects: (1) Some sources have large Doppler factors, implying other radiation mechanism should be considered. (2) Comparing with FSRQs, GeV-TeV BL Lac objects have weaker magnetic field and larger Doppler factor, which cause the ineffective cooling and shift the SEDs to higher bands. Their jet powers are around , comparing with…
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