Constraining the redshifts of TeV BL Lac objects
Longhua Qin, Jiancheng Wang, Dahai Yan, Chuyuan Yang, Zunli Yuan, and, Ming Zhou

TL;DR
This paper develops a model-dependent method using multi-waveband spectral energy distributions and MCMC to estimate the redshifts of TeV BL Lac objects, considering different electron energy distributions and EBL uncertainties.
Contribution
It introduces a novel approach combining SSC modeling with MCMC to constrain BL Lac redshifts, accounting for EED types and EBL model uncertainties.
Findings
Redshift estimates for three BL Lacs within specific ranges.
The PLC EED does not fit the SEDs well.
Consistent redshift estimates for PKS1424+240 in different stages.
Abstract
We present a model-dependent method to estimate the redshifts of three TeV BL Lac objects (BL Lacs) through fltting their (quasi-) simultaneous multi-waveband spectral energy distributions (SEDs) by one-zone leptonic synchrotron self-Compton (SSC) model. Considering the impact of electron energy distributions (EEDs) on the results, we use three types of EEDs, such as the power-law EED with exponential cut-ofi (PLC), the log-parabola (PLLP) and the broken power-law (BPL) EEDs, to flt the SEDs. We also use a parameter fi to describe the uncertainties of the extragalactic background light (EBL) models, as in (Abdo et al. 2010b). We then use Markov Chain Monte Carlo (MCMC) method to explore multi-dimensional parameter space and obtain the uncertainties of the model parameters based on the observational data. We apply our method to obtain the redshifts of three TeV BL Lac objects in the…
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