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researcher

G. Scanavini

4 papers here

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

fields
  • hep-ex3
  • physics.ins-det1
ORCID 0000-0001-9336-8792
same name
  • G. Scanavini — 66 papers, h 28
  • G. Scanavini — 2 papers
  • G. Scanavini — 2 papers
  • G. Scanavini — 1 paper
  • G. Scanavini — 1 paper
  • G. Scanavini — 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
20182024
most citedA Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

83 citations · 112 across the 4 of their papers we have counts for

collaborators
Showing hep-exShow all

3 papers · 1 filter

hep-ex2024★ 7 cited

First Measurement of the Total Inelastic Cross-Section of Positively-Charged Kaons on Argon at Energies Between 5.0 and 7.5 GeV

DUNE Collaboration, A. Abed Abud, B. Abi +1360

ProtoDUNE Single-Phase (ProtoDUNE-SP) is a 770-ton liquid argon time projection chamber that operated in a hadron test beam at the CERN Neutrino Platform in 2018. We present a meas…

hep-ex2023★ 17 cited

Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment

DUNE Collaboration, A. Abed Abud, B. Abi +1313

A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the O(10) MeV neutrinos produced by a Galactic core-collapse supernova if one s…

hep-ex2018★ 83 cited

A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

MicroBooNE collaboration, C. Adams, M. Alrashed +170

We have developed a convolutional neural network (CNN) that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) f…

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