activity
20222026
most citedPerformance of the new RD51 VMM3a/SRS beam telescope---studying MPGDs simultaneously in energy, space and time at high rates

4 citations · 10 across the 15 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

physics.ins-det2024

Towards MPGDs with embedded pixel ASICs

L. Scharenberg, J. Alozy, W. Billereau +27

Combining gaseous detectors with a high-granularity pixelated charge readout enables experimental applications which otherwise could not be achieved. This includes high-resolution…

physics.ins-det2024★ 2 cited

PICOSEC-Micromegas Detector, an innovative solution for Lepton Time Tagging

A. Kallitsopoulou, R. Aleksan, Y. Angelis +49

The PICOSEC-Micromegas (PICOSEC-MM) detector is a novel gaseous detector designed for precise timing resolution in experimental measurements. It eliminates time jitter from charged…

physics.ins-det2024

A Novel Diamond-like Carbon based photocathode for PICOSEC Micromegas detectors

X. Wang, R. Aleksan, Y. Angelis +48

The PICOSEC Micromegas (MM) detector is a precise timing gaseous detector based on a MM detector operating in a two-stage amplification mode and a Cherenkov radiator. Prototypes eq…

physics.ins-det2024

Photocathode characterisation for robust PICOSEC Micromegas precise-timing detectors

M. Lisowska, R. Aleksan, Y. Angelis +55

The PICOSEC Micromegas detector is a~precise-timing gaseous detector based on a~Cherenkov radiator coupled with a~semi-transparent photocathode and a~Micromegas amplifying structur…

physics.ins-det2024

Spatial resolution improvements with finer-pitch GEMs

K. J. Flöthner, L. Scharenberg, A. Brask +13

Gas Electron Multipliers (GEMs) are used in many particle physics experiments, employing their 'standard' configuration with amplification holes of 140 um pitch in a hexagonal patt…

hep-ex2024★ 3 cited

Transforming a rare event search into a not-so-rare event search in real-time with deep learning-based object detection

J. Schueler, H. M. Araújo, S. N. Balashov +40

Deep learning-based object detection algorithms enable the simultaneous classification and localization of any number of objects in image data. Many of these algorithms are capable…