EXSdetect: an end-to-end software for extended source detection in X-ray images: application to Swift-XRT data
Teng Liu, Paolo Tozzi, Elena Tundo, A. Moretti, Jun-Xian Wang, Piero, Rosati, Fabrizia Guglielmetti

TL;DR
EXSdetect is a versatile, automated software tool designed for detecting extended X-ray sources with high sensitivity and low contamination, suitable for current and future X-ray surveys, especially for studying distant galaxy clusters.
Contribution
The paper introduces EXSdetect, a novel end-to-end software combining Voronoi tessellation and friends-of-friends algorithms for robust extended source detection in X-ray images.
Findings
Achieves over 90% completeness for sources with at least 80 photons.
Detects sources down to flux levels comparable to larger telescopes.
Demonstrates effectiveness on simulated Swift-XRT data.
Abstract
Aims. We present a stand-alone software (named EXSdetect) for the detection of extended sources in X-ray images. Our goal is to provide a flexible tool capable of detecting extended sources down to the lowest flux levels attainable within instrumental limitations, while maintaining robust photometry, high completeness, and low contamination, regardless of source morphology. EXSdetect was developed mainly to exploit the ever-increasing wealth of archival X-ray data, but is also ideally suited to explore the scientific capabilities of future X-ray facilities, with a strong focus on investigations of distant groups and clusters of galaxies. Methods. EXSdetect combines a fast Voronoi tessellation code with a friends-of-friends algorithm and an automated deblending procedure. The values of key parameters are matched to fundamental telescope properties such as angular resolution and…
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