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20232026
most citedCharacterization of iLGADs using soft X-rays

6 citations · 6 across the 4 of their papers we have counts for

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physics.ins-det2026

Soft X-Ray Detection Down to the Nitrogen K-Edge Using a Pixelated iLGAD Sensor

Shuqi Li, Anna Bergamaschi, Ashish Bisht +35

Hybrid pixel detectors represent the state-of-the-art technology for hard X-ray experiments at synchrotron light sources and free-electron lasers, owing to their high frame rates,…

physics.ins-det2026

Magnetic scattering experiments with an ultrashort pulsed soft X-ray source using iLGADs

L. Lunin, S. Li, A. Bergamaschi +38

Inverse Low Gain Avalanche Diode (iLGAD) sensors developed at the Paul Scherrer Institute (PSI) in collaboration with the Fondazione Bruno Kessler (FBK) have demonstrated an excell…

physics.ins-det2026

Enhanced micrometre spatial resolution and usable photon flux for hybrid pixel detectors via deep-learning-based X-ray localization

Xiangyu Xie, Anna Bergamaschi, Martin Brückner +30

Micrometre spatial resolution is achieved for X-rays with the MÖNCH detector, a charge-integrating hybrid pixel detector with a 25 μm pixel pitch, by exploiting charge sharing betw…

physics.ins-det2025

Improved Pixel-wise Calibration for Charge-Integrating Hybrid Pixel Detectors with Performance Validation

X. Xie, A. Bergamaschi, M. Brückner +29

The MÖNCH hybrid pixel detector, with a 25 \textmu m pixel pitch and fast charge-integrating readout, has demonstrated subpixel resolution capabilities for X-ray imaging and deep l…

physics.ins-det2025

Optimization and validation of charge transport simulation for hybrid pixel detectors incorporating the repulsion effect

X. Xie, A. Bergamaschi, M. Brückner +27

For emerging applications of hybrid pixel detectors which require high spatial resolution, e.g., subpixel interpolation in X-ray imaging and deep learning-based electron localizati…

physics.ins-det2024

Optimizing Charge Transport Simulation for Hybrid Pixel Detectors

X. Xie, R. Barten, A. Bergamaschi +23

To enhance the spatial resolution of the MÖNCH 25 \textmu m pitch hybrid pixel detector, deep learning models have been trained using both simulation and measurement data. Challeng…

physics.ins-det2023★ 6 cited

Characterization of iLGADs using soft X-rays

Antonio Liguori, Rebecca Barten, Filippo Baruffaldi +31

Experiments at synchrotron radiation sources and X-ray Free-Electron Lasers in the soft X-ray energy range (eV--keV) stand to benefit from the adaptation of the hybrid sili…