Ruminations Upon the Modeling of X-Ray Foregrounds, Backgrounds, and Faint Sources

Abstract With the goal of extracting as much information as possible from Chandra and XMM-Newton observations of faint, diffuse sources such as galaxy clusters, as well as those of future X-ray telescopes, we present a strategy for forward modeling all of the foreground and background signals present in these data. This work leverages widespread efforts to understand the soft X-ray emission from the Galaxy, as well as the cosmic X-ray background and instrument-specific, particle-induced backgrounds. Statistically, a forward model of the foregrounds and backgrounds is preferable to alternatives because it requires no binning of the data, and allows for straightforward marginalization over systematic uncertainties. We apply these methods to several galaxy clusters at intermediate-to-high redshifts, spanning a range of masses and morphologies, using Chandra and/or XMM-Newton data. Our results suggest a modest improvement even for relatively bright clusters at these redshifts, and more substantial advantages in the high-redshift, low-surface-brightness regime. We also discuss and provide a simple correction for a time-dependent miscalibration of the Chandra advanced CCD imaging spectrometer detectors identified in archival galaxy cluster data.

Authors

Institutions

Publication Details

Journal
The Astrophysical Journal
Published
2026-03-27
DOI
https://doi.org/10.3847/1538-4357/ae4d43
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ruminations Upon the Modeling of X-Ray Foregrounds, Backgrounds, and Faint Sources

Anthony M. Flores, Taweewat Somboonpanyakul, S. J. Allen, Abigail Y. Pan et al.
The Astrophysical Journal
Galaxies: Formation, Evolution, Phenomena
article

Ruminations Upon the Modeling of X-Ray Foregrounds, Backgrounds, and Faint Sources

Anthony M. Flores, Taweewat Somboonpanyakul, S. J. Allen, Abigail Y. Pan, R. Glenn Morris, Haley R. Stueber, Adam B. Mantz
article en

Abstract

Abstract With the goal of extracting as much information as possible from Chandra and XMM-Newton observations of faint, diffuse sources such as galaxy clusters, as well as those of future X-ray telescopes, we present a strategy for forward modeling all of the foreground and background signals present in these data. This work leverages widespread efforts to understand the soft X-ray emission from the Galaxy, as well as the cosmic X-ray background and instrument-specific, particle-induced backgrounds. Statistically, a forward model of the foregrounds and backgrounds is preferable to alternatives because it requires no binning of the data, and allows for straightforward marginalization over systematic uncertainties. We apply these methods to several galaxy clusters at intermediate-to-high redshifts, spanning a range of masses and morphologies, using Chandra and/or XMM-Newton data. Our results suggest a modest improvement even for relatively bright clusters at these redshifts, and more substantial advantages in the high-redshift, low-surface-brightness regime. We also discuss and provide a simple correction for a time-dependent miscalibration of the Chandra advanced CCD imaging spectrometer detectors identified in archival galaxy cluster data.

The Astrophysical JournalVol. 1000(2)
Rutgers, The State University of New Jersey (US), Chulalongkorn University (TH), SLAC National Accelerator Laboratory (US), Kavli Institute for Particle Astrophysics and Cosmology (US), Stanford University (US)
Reduced inequalities
Openalex Percentile: Top 5%
Galaxies: Formation, Evolution, Phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Ruminations Upon the Modeling of X-Ray Foregrounds, Backgrounds, and Faint Sources — Anthony M. Flores, Taweewat Somboonpanyakul, et al. · The Astrophysical Journal (2026) | TGRS Research Map | TGRS