13–17 Apr 2026
Europe/Zurich timezone

Novel reconstruction techniques with RSD detectors

17 Apr 2026, 10:40
20m
Talk Sensors

Speaker

Lorena Hahn (KIT - Karlsruhe Institute of Technology (DE))

Description

While silicon pixel detectors have long provided excellent spatial resolution, the extreme pile-up conditions expected at future high-luminosity colliders require precise timing information to complement spatial measurements. Recent advances in fast silicon sensor technology now enable time resolutions at the level of a few tens of picoseconds, opening the path toward true 4D tracking, in which particle trajectories are reconstructed in space and time.

Among these developments, the Resistive Silicon Detector (RSD) introduces a novel architecture that integrates Low-Gain Avalanche Diode (LGAD) technology with a resistive readout layer. This design preserves the intrinsic fast timing performance of LGAD sensors while achieving spatial resolutions better than 5% of the sensor pitch through charge sharing. At the same time, it reduces the number of required readout channels by a factor of 80-100. These features make RSDs highly promising candidates for next-generation silicon-based 4D tracking systems.

In this work, we present the latest techniques for RSD spatial and temporal reconstruction developed using data acquired during the last DRD3 test beam, conducted with 120 GeV pion beam at SPS, CERN. The analysis comprises amplitude calibration, precise 3D alignment using an innovative approach, and advanced techniques that apply a functional method to extrapolate RSD sensor positions. These novelties enabled precise comparison of the RSD DUTs performance, achieving a spatial resolution <5% of their pitch with all studied samples.

Authors

Aurora Losana (università di Torino) Brendan Regnery (KIT - Karlsruhe Institute of Technology (DE)) Mr Ling Leander Grimm (KIT - Karlsruhe Institute of Technology (DE)) Lorena Hahn (KIT - Karlsruhe Institute of Technology (DE)) Luca Menzio (CERN) Markus Klute (Karlsruhe Inst. of Technology (GER)) Michael Moll (CERN) Nicolo Cartiglia (INFN Torino (IT)) Niyathikrishna Meenamthuruthil Radhakrishnan (KIT - Karlsruhe Institute of Technology (DE)) Roberta Arcidiacono (Universita e INFN Torino (IT))

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