Parameter Estimation Limits in Blazars
Agniva Roychowdhury

TL;DR
This paper applies Fisher Information analysis to quantify the fundamental limits of parameter estimation in blazar spectral models, revealing significant differences between SSC and EC models and emphasizing the importance of time-resolved data.
Contribution
It introduces a Fisher Information framework to assess the theoretical bounds of parameter inference in blazar SED models, highlighting the constraints on key parameters like the Doppler factor.
Findings
Fisher information in EC models is over 10,000 times less than in SSC models.
Doppler factor $$ carries 100-1000 times more Fisher information than other parameters.
Time-resolved SED modeling is crucial for constraining physical parameters in EC-dominated blazars.
Abstract
Parameter degeneracy in blazar spectral energy distributions (SEDs) is known but rarely quantified. This paper introduces a Fisher Information approach to determine theoretical limits to information extraction in the context of one-zone models. By evaluating the total Fisher Information by varying , , , and , we find that EC models encode Fisher information times less than that in SSC models, establishing differences in limits of physical information extraction even in the case of perfect sampling. Moreover, the Fisher information in both SSC and EC models exhibit strong fluctuations across the parameter space, but since the magnitudes are orders of magnitude lower in EC, limits of parameter inference are expected to be worse in FSRQ SEDs than BL Lacs. We also find that the Doppler factor carries at least…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Neutrino Physics Research · Noncommutative and Quantum Gravity Theories
