The Improved Ep-TL-Lp Diagram and a Robust Regression Method
Ryo Tsutsui, Takashi Nakamura, Daisuke Yonetoku, Toshio Murakami,, Yoshiyuki Morihara, Keitaro Takahashi

TL;DR
This paper improves the understanding of gamma-ray burst relations by correcting systematic errors and developing a robust regression method to identify outliers, resulting in a tighter Ep-TL-Lp relation around 3 seconds.
Contribution
It introduces a new method combining robust regression and outlier detection to refine the Ep-TL-Lp relation in GRBs.
Findings
Systematic errors in GRB observables are identified and corrected.
The Ep-TL-Lp relation is tightened around a 3-second time scale.
Six outliers are detected among 18 GRBs using the new method.
Abstract
The accuracy and reliability of gamma-ray bursts (GRBs) as distance indicators are strongly restricted by their systematic errors which are larger than statistical errors. These systematic errors might come from either intrinsic variations of GRBs, or systematic errors in observations. In this paper, we consider the possible origins of systematic errors in the following observables, (i) the spectral peak energies (Ep) estimated by Cut-off power law (CPL) function, (ii) the peak luminosities (Lp) estimated by 1 second in observer time. Removing or correcting them, we reveal the true intrinsic variation of the Ep-TL-Lp relation of GRBs. Here TL is the third parameter of GRBs defined as TL ~ Eiso / Lp. Not only the time resolution of Lp is converted from observer time to GRB rest frame time, the time resolution with the largest likelihood is sought for. After removing obvious origin of…
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