Power, DAQ & Algorithm

We seek for cross-field collaboration to push forward the technology frontier in High Energy Physics experiments.

Project 1

Photonics for Particle Detectors

The group is enthusiastic about applying photonics in HEP experiments. We have built up our first prototype in our lab using commercial photovoltaic (PV) cells and laser driver from MH GoPower to power a particle detector element. Our collaborator from ECFA DRD7 have presented our encouraging results in the EPS HEP 2025 conference. In collaboration with dr. John Schermer group from Radboud, we are developing a group III-V semiconductor technology to drive the power of future particle detectors.

Project 2

ATLAS FELIX Project

We are contributing to the ATLAS FELIX project in allied with the Nikhef TDAQ team. In the FELIX project, we are leading in the firmware development, as well as the corresponding software development. In Nijmegen, we have one of the most advanced FELIX lab, equipped with two FELIX 712 cards and one FELIX 182 card hosted by two servers, as well as one FPGA based Timing Trigger and Control (TTC) emulator for tests and development.

In combination with our HGTD R&D activities, our lab is equipped with two sets of HGTD front-end readout for HGTD specialised firmware R&D and for studies on HGTD clock and timing correction, calibration and validation.

Therefore, our work is embeded in ATLAS FELIX, ATLAS HGTD, and the ECFA DRD7 collaborations.

Project 3
Source: S. Okkerman
Project 3

Reconstruction with HGTD

From collision vertex time correction and calibration to object reconstruction, we are developing algorithms to time tag particles measured at ATLAS.

From 2023, we started studying time tagging algorithms using HGTD detector with ATLAS simulations. Our group alumni MSc. S. Okkerman evaluated the time tagging algorithm and its impact to muon performance - the continued study on tau lepton will be carried out by a new PhD student.

Project 4
Source: ATLAS-PHOTO-2019-020-1

AI for detectors

Internationally, we are joining EuCAIF to develop AI-assisted co-design of future ground- and space-based detector.

Locally, we are an important part of the Dutch FASTER consortium (funded by NWO ENW XL 2021-2022), where ML/AI driven 4D tracking algorithms is being developped.

Selected Publications