X-ray and multiwavelength polarization of Mrk 501 from 2022 to 2023
Chien-Ting J. Chen (USRA/NASA MSFC), Ioannis Liodakis, Riccardo, Middei, Dawoon E. Kim, Laura Di Gesu, Alessandro Di Marco, Steven R. Ehlert,, Manel Errando, Michela Negro, Svetlana G. Jorstad, Alan P. Marscher, Kinwah, Wu, Iv\'an Agudo, Juri Poutanen, Tsunefumi Mizuno

TL;DR
This study presents multiwavelength polarization measurements of blazar Mrk 501 over 14 months, revealing stable polarization in X-ray, optical, and radio bands with a notable increase in X-ray polarization in the last observation, supporting an energy-stratified shock emission model.
Contribution
First multiwavelength polarization dataset of Mrk 501 spanning 14 months, highlighting energy-dependent polarization behavior and variability.
Findings
X-ray polarization remained stable in five observations, increased significantly in the sixth.
Optical and radio polarization showed no correlation with X-ray polarization.
X-ray polarization degree was higher than optical, which was higher than radio, consistent with energy-stratified shock scenario.
Abstract
We present multiwavelength polarization measurements of the luminous blazar Mrk~501 over a 14-month period. The 2--8 keV X-ray polarization was measured with the Imaging X-ray Polarimetry Explorer (IXPE) with six 100-ks observations spanning from 2022 March to 2023 April. Each IXPE observation was accompanied by simultaneous X-ray data from NuSTAR, Swift/XRT, and/or XMM-Newton. Complementary optical-infrared polarization measurements were also available in the B, V, R, I, and J bands, as were radio polarization measurements from 4.85 GHz to 225.5 GHz. Among the first five IXPE observations, we did not find significant variability in the X-ray polarization degree and angle with IXPE. However, the most recent sixth observation found an elevated polarization degree at above the average of the other five observations. The optical and radio measurements show no apparent…
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Radiomics and Machine Learning in Medical Imaging · Atomic and Subatomic Physics Research
