Silicon drift detector monolithic arrays for X-ray spectroscopy

The efficient detection of low-energy X-rays at the keV level with the best possible energy resolution requires the application of silicon drift detectors (SDDs) and advanced application specific integrated circuits (ASICs). Their widespread use in material sciences, alongside dedicated basic science projects, has long been restricted to single, selected SDD elements working at low temperatures. This is because of the limits incurring in the quite elaborated planar technology production process and the need to reach very low leakage current levels, together with the need for highly specialized readout electronics. We describe, in this review work, the concrete outcomes of the efforts of the ReDSoX collaboration to develop high energy resolution detection systems working at near room temperature based on multi-pixel monolithic silicon drift detectors and custom-designed advanced readout electronics capable of dealing with high photon fluxes, developed for specific projects but suitable for a variety of applications.

Authors

Institutions

Publication Details

Journal
Frontiers in Detector Science and Technology
Published
2025-03-05
DOI
https://doi.org/10.3389/fdest.2025.1551757
Citations
5
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
9.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Silicon drift detector monolithic arrays for X-ray spectroscopy

M. Sammartini, P. Bellutti, Luca Olivi, Evgeny Demenev et al.
5 citations
Frontiers in Detector Science and Technology
Particle Detector Development and Performance
9.35
article

Silicon drift detector monolithic arrays for X-ray spectroscopy

M. Sammartini, P. Bellutti, Luca Olivi, Evgeny Demenev, L. Stebel, Giuseppe Dilillo, F. Ficorella, Y. Evangelista, R. Campana, P. Malcovati, Massimo Gandola, G. Orzan, A. Vacchi, M. Feroci, D. Giuressi, Filippo Mele, George Kourousias, Giovanni Della Casa, A. Rachevski, A. Picciotto, M. Grassi, E. Del Monte, Alessandra Gianoncelli, S. Schillani, R.H. Menk, F. Fuschino, F. Fiore, G. Zampa, Giuliana Aquilanti, G. Cautero, G. Borghi, N. Zampa, Irisa Dedolli, M. Fiorini, D. Cirrincione, M. Antonelli, G. Bertuccio, G. Pepponi, C. Labanti, Filippo Ambrosino, Giovanni Agostini, Francesco Ceraudo, L. Bosisio, I. Rashevskaya, N. Zorzi
article en
5 citations

Abstract

The efficient detection of low-energy X-rays at the keV level with the best possible energy resolution requires the application of silicon drift detectors (SDDs) and advanced application specific integrated circuits (ASICs). Their widespread use in material sciences, alongside dedicated basic science projects, has long been restricted to single, selected SDD elements working at low temperatures. This is because of the limits incurring in the quite elaborated planar technology production process and the need to reach very low leakage current levels, together with the need for highly specialized readout electronics. We describe, in this review work, the concrete outcomes of the efforts of the ReDSoX collaboration to develop high energy resolution detection systems working at near room temperature based on multi-pixel monolithic silicon drift detectors and custom-designed advanced readout electronics capable of dealing with high photon fluxes, developed for specific projects but suitable for a variety of applications.

Frontiers in Detector Science and TechnologyVol. 3
University of Udine (IT), University of Trieste (IT), Fondazione Bruno Kessler (IT), Elettra-Sincrotrone Trieste S.C.p.A. (IT), Istituto Nazionale di Fisica Nucleare, Trento Institute for Fundamental Physics And Applications (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Milano (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Bologna (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Trieste (IT), National Institute for Astrophysics (IT), Politecnico di Milano (IT)
Istituto Nazionale di Fisica Nucleare
Openalex Percentile: Top 3%
Particle Detector Development and Performance
9.35
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.