The XXL Survey III. Luminosity-temperature relation of the Bright Cluster Sample
P. A. Giles, B. J. Maughan, F. Pacaud, M. Lieu, N. Clerc, M. Pierre,, C. Adami, L. Chiappetti, J. D\'emocl\'es, S. Ettori, J. P. Le F\'evre, T., Ponman, T. Sadibekova, G. P. Smith, J. P. Willis, F. Ziparo

TL;DR
This study analyzes the luminosity-temperature relation of the brightest galaxy clusters in the XXL Survey, accounting for selection biases, and finds a steeper relation than self-similar models with evolution consistent with strong self-similar scaling.
Contribution
It provides the first detailed measurement of the LT relation for XXL bright clusters, incorporating selection bias corrections and exploring its evolution with redshift.
Findings
Measured LT slope of 3.08±0.15, steeper than self-similar expectation.
Found evolution factor consistent with strong self-similar scaling.
Highlighted the impact of baseline assumptions on evolution measurements.
Abstract
The XXL Survey is the largest homogeneous survey carried out with XMM-Newton. Covering an area of 50 deg, the survey contains several hundred galaxy clusters out to a redshift of 2 above an X-ray flux limit of 5 erg cm s. This paper belongs to the first series of XXL papers focusing on the bright cluster sample. We investigate the luminosity-temperature (LT) relation for the brightest clusters detected in the XXL Survey, taking fully into account the selection biases. We investigate the form of the LT relation, placing constraints on its evolution. We have classified the 100 brightest clusters in the XXL Survey based on their measured X-ray flux. These 100 clusters have been analysed to determine their luminosity and temperature to evaluate the LT relation. We used three methods to fit the LT relation, with two of these methods…
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.
