activity
20122023
most citedExperimental observation of a current-driven instability in a neutral electron-positron beam

57 citations · 253 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cond-mat.supr-con2021★ 17 cited

Detector Array Readout with Traveling Wave Amplifiers

A. Giachero, C. Barone, M. Borghesi +35

Noise at the quantum limit over a large bandwidth is a fundamental requirement for future applications operating at millikelvin temperatures, such as the neutrino mass measurement,…

cond-mat.supr-con2021★ 14 cited

Bimodal Approach for Noise Figures of Merit Evaluation in Quantum-Limited Josephson Traveling Wave Parametric Amplifiers

L. Fasolo, C. Barone, M. Borghesi +37

The advent of ultra-low noise microwave amplifiers revolutionized several research fields demanding quantum-limited technologies. Exploiting a theoretical bimodal description of a…

physics.ins-det2021★ 26 cited

Implementation and Optimization of the PTOLEMY Transverse Drift Electromagnetic Filter

A. Apponi, M. G. Betti, M. Borghesi +53

The PTOLEMY transverse drift filter is a new concept to enable precision analysis of the energy spectrum of electrons near the tritium beta-decay endpoint. This paper details the i…

physics.data-an2021

Processing of non-constant baseline pulses: a matrix technique

C. Ferrari, M. Borghesi, M. Faverzani +3

For a high source activity experiment, such as HOLMES, non-constant baseline pulses could constitute a great fraction of the data-set. We test the optimal filter matrix technique,…

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…