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researcher

M. Rosenberg

3 papers here

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

author position
  • middle author1

Across the 1 of 3 papers where every author was matched, so the position is known.

fields
  • hep-ex3
ORCID 0000-0003-2035-6672
same name
  • M. Rosenberg — 92 papers, h 32
  • M. Rosenberg — 8 papers, h 5
  • M. Rosenberg — 4 papers, h 33
  • M. Rosenberg — 4 papers, h 31
  • M. Rosenberg — 3 papers, h 41
  • M. Rosenberg — 3 papers, h 3

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
20202022
most citedA Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

35 citations · 35 across the 3 of their papers we have counts for

collaborators

3 papers

hep-ex2022

First measurement of quasi-elastic Λ baryon production in muon anti-neutrino interactions in the MicroBooNE detector

MicroBooNE collaboration, P. Abratenko, D. Andrade Aldana +183

We present the first measurement of the cross section of Cabibbo-suppressed Λ baryon production, using data collected with the MicroBooNE detector when exposed to the neutrinos f…

hep-ex2021

Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment

DUNE Collaboration, A. Abed Abud, B. Abi +1151

The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation measurements over the lifetime of the experiment. In this work, we explore DUNE's se…

hep-ex2020★ 35 cited

A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

MicroBooNE collaboration, P. Abratenko, M. Alrashed +184

We present the multiple particle identification (MPID) network, a convolutional neural network (CNN) for multiple object classification, developed by MicroBooNE. MPID provides the…

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