Estimating the distribution of rest-frame timescales for blazar jets: a statistical approach
I. Liodakis, D. Blinov, I. Papadakis, and V. Pavlidou

TL;DR
This paper develops a statistical method to infer the true distribution of timescales in blazar jets from observed data, accounting for redshift and relativistic effects, and applies it to optical polarization rotations.
Contribution
The authors introduce a formalism to recover the intrinsic timescale distribution of blazar jets from flux-limited samples, validated through simulations and applied to real observational data.
Findings
The method accurately recovers intrinsic timescales with 1% error when observation intervals are about 3% of the timescale.
The intrinsic timescale of the longest optical polarization rotation events is approximately normally distributed with a mean of 87 days.
The method's robustness decreases when observation intervals exceed 30% of the intrinsic timescale.
Abstract
In any flux-density limited sample of blazars, the distribution of the timescale modulation factor , which quantifies the change in observed timescales compared to the rest-frame ones due to redshift and relativistic compression follows an exponential distribution with a mean depending on the flux limit of the sample. In this work we produce the mathematical formalism that allows us to use this information in order to uncover the underlining rest-frame probability density function of measurable timescales of blazar jets. We extensively test our proposed methodology using a simulated FSRQ population with a 1.5 Jy flux-density limit in the simple case (where all blazars share the same intrinsic timescale), in order to identify limits of applicability and potential biases due to observational systematics and sample selection. We find that for monitoring with time…
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