activity
20222026
most citedData Flow in the Mu3e DAQ

5 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

physics.ins-det2026

Investigation of the in-pixel response of the Mupix11 monolithic pixel sensor using a microfocus X-ray beam at Diamond Light Source

A. S. Rotelli, H. Augustin, D. Bortoletto +9

MuPix11 is a High-Voltage Monolithic Active Pixel Sensor (HV-MAPS) developed for the tracking system of the Mu3e experiment. The in-pixel photon response of a MuPix11 sensor thinne…

physics.ins-det2026★ 1 cited

On the Codesign of Scientific Experiments and Industrial Systems

Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84

The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…

hep-ex2025

Letter Of Intent for a future experiment at the High Intensity Muon Beam facility at PSI

Paolo Walter Cattaneo, Wataru Ootani, Francesco Renga +61

Searches for charged lepton flavor violation in the muon sector stand out among the most sensitive and clean probes for physics beyond the Standard Model. Currently, $μ^+ \to \math…

physics.ins-det2025★ 2 cited

Advanced muon-spin spectroscopy with high lateral resolution using Si-pixel detectors

Lukas Mandok, Pascal Isenring, Heiko Augustin +7

Muon-spin spectroscopy at continuous sources has stagnated at a stopped muons rate of ~40 kHz for the last few decades. The major limiting factor is the requirement of a single muo…

physics.ins-det2022★ 5 cited

Data Flow in the Mu3e DAQ

Marius Köppel

The Mu3e experiment at the Paul Scherrer Institute (PSI) searches for the charged lepton flavour violating decay . The experiment aims for an ultimate…

physics.ins-det2022

Mu3e Integration Run 2021

Marius Köppel

The Mu3e experiment at the Paul Scherrer Institute searches for the charged lepton flavor violating decay . The experiment aims for an ultimate sensiti…

cs.LG2022

Fair Group-Shared Representations with Normalizing Flows

Mattia Cerrato, Marius Köppel, Alexander Segner +1

The issue of fairness in machine learning stems from the fact that historical data often displays biases against specific groups of people which have been underprivileged in the re…