activity
20092026
most citedNew limit on the lepton-flavour violating decay mu -> e gamma

249 citations · 857 across the 23 of their papers we have counts for

collaborators

23 papers

physics.ins-det2026

Demonstration of a cryogenic, switchable electron source for low-temperature detector calibration

D. A. Bennett, M. Borghesi, P. Campana +17

We present the realization of a prototype of a compact, switchable electron source operating at cryogenic temperatures, demonstrated at energies ranging from 100 eV to 300 eV, and…

physics.ins-det2025★ 1 cited

Impact of embedded Ho on the performance of the transition-edge sensor microcalorimeters of the HOLMES experiment

Douglas Bennett, Matteo Borghesi, Pietro Campana +19

We present a detailed investigation of the performance of transition-edge sensor (TES) microcalorimeters with Ho atoms embedded by ion implantation, as part of the HOLMES e…

nucl-ex2024★ 1 cited

Search for the X17 particle in processes with the MEG II detector

The MEG II collaboration, K. Afanaciev, A. M. Baldini +64

The observation of a resonance structure in the opening angle of the electron-positron pairs in the Li(p,\ee) Be reaction was claimed and interpreted as the production…

nucl-ex2022

Measuring the electron neutrino mass using the electron capture decay of 163Ho

Joel Ullom, Daniel Schmidt, Simon Bandler +14

While the mass differences between neutrino mass states are known, their absolute masses and mass hierarchy have not yet been determined. Determining the mass of neutrinos provides…

physics.ins-det2021★ 10 cited

Progress in the development of TES microcalorimeter detectors suitable for neutrino mass measurement

A. Giachero, B. Alpert, D. T. Becker +19

The HOLMES experiment will perform a precise calorimetric measurement of the end point of the Electron Capture (EC) decay spectrum of 163Ho in order to extract information on neutr…

physics.ins-det2021★ 8 cited

A novel approach for nearly-coincident events rejection

M. Borghesi, M. De Gerone, M. Faverzani +6

We present a novel technique, called DSVP (Discrimination through Singular Vectors Projections), to discriminate spurious events within a dataset. The purpose of this paper is to l…