Advanced Readout Logic for the XGIS Instrument: Discriminating X-Ray and Gamma-Ray Photons from the Background and Particles

The X and Gamma Imager and Spectrometer (XGIS) on board THESEUS is a finely pixelized and modular instrument designed for broadband high-energy transient detection. XGIS consists of two cameras, each composed of 10 supermodules, with each supermodule further divided into 10 modules and each module made with 64 independent readout pixels based on Silicon Drift Detectors coupled with 5 × 5 × 30 mm3 CsI scintillator bars. An algorithm to quickly read out the signals from the 64 pixels and send them in chronological order through the module and supermodule logic up to the camera logic is under development. Furthermore, a challenge for space-based high-energy instruments is distinguishing X-/gamma-ray photons while effectively rejecting background photons and particles, including electrons, protons, and heavier cosmic rays. Unlike traditional systems that rely on anticoincidence systems, XGIS aims to achieve background rejection through an innovative readout logic that analyzes the spatial and temporal properties of energy deposits in the detector. By leveraging the finely pixelized structure, the readout system can differentiate single-photon events from charged-particle tracks based on energy deposition patterns and event topology.

Authors

Institutions

Publication Details

Journal
Particles
Published
2025-11-22
DOI
https://doi.org/10.3390/particles8040091
Citations
1
Primary Topic
Radiation Detection and Scintillator Technologies
Type
article
Field-Weighted Citation Impact
1.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced Readout Logic for the XGIS Instrument: Discriminating X-Ray and Gamma-Ray Photons from the Background and Particles

R. Campana, Paolo Calabretto, L. Amati, E. J. Marchesini et al.
1 citations
Particles
Radiation Detection and Scintillator Technologies
1.88
article

Advanced Readout Logic for the XGIS Instrument: Discriminating X-Ray and Gamma-Ray Photons from the Background and Particles

R. Campana, Paolo Calabretto, L. Amati, E. J. Marchesini, G. Sottile, Enrico Virgilli, Paolo Nogara, C. Labanti, G. La Rosa, Edoardo Borciani, Smiriti Srivastava, Ajay Sharma, Giulia Mattioli, Alfonso Pisapia
article en
1 citations

Abstract

The X and Gamma Imager and Spectrometer (XGIS) on board THESEUS is a finely pixelized and modular instrument designed for broadband high-energy transient detection. XGIS consists of two cameras, each composed of 10 supermodules, with each supermodule further divided into 10 modules and each module made with 64 independent readout pixels based on Silicon Drift Detectors coupled with 5 × 5 × 30 mm3 CsI scintillator bars. An algorithm to quickly read out the signals from the 64 pixels and send them in chronological order through the module and supermodule logic up to the camera logic is under development. Furthermore, a challenge for space-based high-energy instruments is distinguishing X-/gamma-ray photons while effectively rejecting background photons and particles, including electrons, protons, and heavier cosmic rays. Unlike traditional systems that rely on anticoincidence systems, XGIS aims to achieve background rejection through an innovative readout logic that analyzes the spatial and temporal properties of energy deposits in the detector. By leveraging the finely pixelized structure, the readout system can differentiate single-photon events from charged-particle tracks based on energy deposition patterns and event topology.

ParticlesVol. 8(4)
University of Padua (IT), Osservatorio astronomico di Bologna (IT), Istituto di Astrofisica Spaziale e Fisica Cosmica di Bologna (IT), Istituto di Astrofisica Spaziale e Fisica cosmica di Palermo (IT), National Institute for Astrophysics (IT), University of Bologna (IT)
Openalex Percentile: Top 11%
Radiation Detection and Scintillator Technologies
1.88
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.