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N. Pastrone

44 papers hereh-index 11574k citations1.9k works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author20

Across the 21 of 44 papers where every author was matched, so the position is known.

fields
  • hep-ex16
  • physics.ins-det11
  • physics.acc-ph10
  • nucl-ex3
  • astro-ph2
  • hep-ph2
same name
  • N. Pastrone — 571 papers
  • N. Pastrone — 11 papers, h 6
  • N. Pastrone — 1 paper
  • N. Pastrone — 1 paper
  • N. Pastrone — 1 paper
  • N. Pastrone — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20032026
most citedMuon Colliders: Opening New Horizons for Particle Physics

130 citations · 576 across the 39 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

physics.ins-det2026

Toward High-Resolution Detection of Target Fragmentation: TEA-Sensitized NIT for Proton Therapy Applications

V. Boccia, T. Asada, A. Alexandrov +96

Nano Imaging Trackers (NIT) are fine-grained nuclear emulsions capable of tracking charged particles with sub-micrometric spatial resolution. The DAMON (Direct Measurement of Targe…

nucl-ex2026

Measurement of 80-200 MeV/n 16O nuclear cross-section on Carbon and Polyethylene targets with the nuclear emulsion detector of the FOOT experiment

FOOT Collaboration, Giuliana Galati, Vincenzo Boccia +93

Accurate knowledge of nuclear fragmentation cross-sections is essential for optimizing charged particle therapy. In this study, conducted within the framework of the FOOT (Fragment…

physics.ins-det2026

New method for clustering thresholds determination in Microstrip Silicon Detector

S. Mazzolani, I. Mattei, L. Servoli

The Microstrip Silicon Detector (MSD) is one of the subsystems of the FragmentatiOn Of Target (FOOT) experiment whose goal is to measure double differential nuclear fragmentation c…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.