Detecting Relativistic X-ray Jets in High-Redshift Quasars
Kathryn McKeough, Aneta Siemiginowska, C. C. Cheung, Lukasz Stawarz,, Vinay L. Kashyap, Nathan Stein, Vasileios Stampoulis, David A. van Dyk, J. F., C. Wardle, N. P. Lee, D. E. Harris, D. A. Schwartz, Davide Donato, Laura, Maraschi, Fabrizio Tavecchio

TL;DR
This study uses Bayesian image reconstruction on Chandra X-ray data to detect and analyze X-ray jets in high-redshift quasars, revealing potential redshift-dependent emission mechanisms.
Contribution
It introduces a Bayesian multi-scale method for detecting X-ray jets and compares their properties across different redshifts, highlighting possible differences in emission processes.
Findings
12 jets detected unambiguously
X-ray to radio flux ratios vary with redshift
High-redshift jets may be dominated by IC/CMB emission
Abstract
We analyze Chandra X-ray images of a sample of 11 quasars that are known to contain kiloparsec scale radio jets. The sample consists of five high-redshift (z >= 3.6) flat-spectrum radio quasars, and six intermediate redshift (2.1 < z < 2.9) quasars. The dataset includes four sources with integrated steep radio spectra and seven with flat radio spectra. A total of 25 radio jet features are present in this sample. We apply a Bayesian multi-scale image reconstruction method to detect and measure the X-ray emission from the jets. We compute deviations from a baseline model that does not include the jet, and compare observed X-ray images with those computed with simulated images where no jet features exist. This allows us to compute p-value upper bounds on the significance that an X- ray jet is detected in a pre-determined region of interest. We detected 12 of the features unambiguously, and…
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