12–16 Jan 2026
ETH
Europe/Zurich timezone

Characterization of inverse LGAD Sensors in the Soft X-ray Energy Range

13 Jan 2026, 15:55
20m
ML E12 (ETH)

ML E12

ETH

Rämistrasse 101 8092 Zürich Switzerland
Soft X-ray Detector Workshop Sensor and detector characterization Sensor and detector characterization - II

Speaker

Shuqi Li (PSI - Paul Scherrer Institut)

Description

At the Paul Scherrer Institute (PSI), we are developing inverse Low-Gain Avalanche Diode (iLGAD) sensors with a thin entrance window (TEW) in collaboration with Fondazione Bruno Kessler (FBK). The TEW design is used to enhance the charge-collection efficiency near the sensor surface. In our latest batch, the quantum efficiency (QE) exceeds 85% at 250 eV, which is comparable to state-of-the-art detectors for soft X-rays. Furthermore, compared with conventional sensors, LGADs incorporate an internal gain layer that provides moderate amplification, thereby significantly improving the detector’s signal-to-noise ratio (SNR) by a factor of at least five in the soft X-ray energy range.
In this presentation, we will report recent beam-test results obtained at the MAX IV synchrotron using soft X-rays from 390 eV to 2500 eV. The iLGAD sensors were bump-bonded to the MÖNCH and JUNGFRAU charge-integrating readout chips, featuring pixel sizes of 25 μm and 75 μm, respectively. The results demonstrate that single-photon detection can be achieved at 400 eV with an SNR exceeding five. The dependence of the SNR on photon energy and temperature will also be presented.
We further studied the iLGAD spectral response, which exhibits a characteristic double-peak structure, corresponding to hole-initiated and electron-initiated multiplication peaks arising from photon absorption before and after the gain layer. To better understand this behavior, we applied an empirical model to fit the spectra, allowing us to extract the fractions of photons absorbed before and after the gain layer. These fractions are used to estimate the thicknesses of the n⁺ and gain layers, and the extracted values show good agreement with process-simulation results.
Finally, we will present the improvements and testing program for the next batch of iLGAD sensors, which are expected to become available in early 2026.

Authors

Aldo Mozzanica (PSI - Paul Scherrer Institut) Anna Bergamaschi (PSI - Paul Scherrer Institut) Bernd Schmitt (PSI - Paul Scherrer Institut) Davide Mezza (Paul Scherrer Institut) Dominic Greiffenberg (PSI - Paul Scherrer Institut) Jiaguo Zhang (PSI - Paul Scherrer Institut) Jonathan Mulvey (Paul Scherrer Institut) Julian Heymes (PSI - Paul Scherrer Institut) Khalil Fejaoui (Paul Scherrer Institut) Kirsty Paton (Paul Scherrer Institut) Konstantinos Moustakas (PSI - Paul Scherrer Institut) Lars Erik Fröjd (PSI - Paul Scherrer Institut) Maria del Mar Carulla Areste (PSI - Paul Scherrer Institut) Patrick Sieberer (PSI - Paul Scherrer Institut) Roberto Dinapoli (PSI - Paul Scherrer Institut) Saverio Silletta (PSI - Paul Scherrer Institut) Shuqi Li (PSI - Paul Scherrer Institut) Vadym Kedych (Paul Scherrer Institut) Viktoria Hinger (PSI - Paul Scherrer Institut) Viveka Gautam (Paul Scherrer Institut) Xiangyu Xie (PSI - Paul Scherrer Institut)

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