Chandra X-ray Observations of the redshift 1.53, radio-loud quasar: 3C 270.1
Belinda J. Wilkes, Dharam V. Lal, D.M.Worrall, Mark Birkinshaw, Martin, Haas, S.P. Willner, Robert Antonucci, M.L.N. Ashby, Mark Avara, Peter, Barthel, Rolf Chini, G.G Fazio, Martin Hardcastle, Charles Lawrence,, Christian Leipski, Patrick Ogle, Bernhard Schulz

TL;DR
This study presents Chandra X-ray observations of the high-redshift radio-loud quasar 3C 270.1, revealing nuclear properties, extended emission associated with radio features, and potential evidence of a high-redshift galaxy cluster.
Contribution
First detailed X-ray analysis of 3C 270.1 at z=1.532, including modeling of extended emission and insights into inverse-Compton processes and cluster environment.
Findings
Nucleus has a typical radio-loud quasar spectrum with Gamma=1.66.
Extended X-ray emission aligns with radio structures and hotspots.
Evidence suggests possible high-redshift galaxy cluster with luminosity consistent with lower-redshift relations.
Abstract
Chandra X-ray observations of the high redshift (z =1.532) radio-loud quasar 3C270.1 in 2008 February show the nucleus to have a power-law spectrum, Gamma = 1.66 +/- 0.08, typical of a radio-loud quasar, and a marginally-detected Fe Kalpha emission line. The data also reveal extended X-ray emission, about half of which is associated with the radio emission from this source. The southern emission is co-spatial with the radio lobe and peaks at the position of the double radio hotspot. Modeling this hotspot including Spitzer upper limits rules out synchrotron emission from a single power-law population of electrons, favoring inverse-Compton emission with a field of ~11nT, roughly a third of the equipartition value. The northern emission is concentrated close to the location of a 40 deg. bend where the radio jet is presumed to encounter external material. It can be explained by inverse…
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.
