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researcher

P. Shanahan

10 papers hereh-index 5413 citations25 works total

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

author position
  • first author1
  • middle author4

Across the 5 of 10 papers where every author was matched, so the position is known.

fields
  • hep-ex9
  • quant-ph1
same name
  • P. Shanahan — 114 papers, h 42
  • P. Shanahan — 77 papers, h 46
  • P. Shanahan — 21 papers
  • P. Shanahan — 4 papers
  • P. Shanahan — 3 papers
  • P. Shanahan — 2 papers

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
20062026
most citedObservation of muon neutrino disappearance with the MINOS detectors and the NuMI neutrino beam

533 citations · 678 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

hep-ex2026

The NOvA Test Beam Experiment

NOvA Collaboration, S. Abubakar, M. A. Acero +208

NOvA is a long-baseline neutrino oscillation experiment designed to study the neutrino mixing parameters, mass ordering, and CP violation in the lepton sector. A key component of t…

hep-ex2026

NOvA Dual-Baseline Search for Active-to-Sterile Neutrino Oscillations using Neutrino- and Antineutrino-Enriched Samples

NOvA Collaboration, S. Abubakar, M. A. Acero +185

We report a search for neutrino oscillations to sterile neutrinos in the NOvA detectors under a model with three active and one sterile neutrinos. This search simultaneously fits d…

hep-ex2026

Neutron detector response modeling in NOvA

NOvA Collaboration, S. Abubakar, M. A. Acero +194

Neutrons can present a significant challenge for neutrino experiments in which energy reconstruction is critical. With the ability to escape detection completely and with a weak co…

quant-ph2026

Elevator Codes: Concatenation for resource-efficient quantum memory under biased noise

Peter Shanahan, Diego Ruiz

Biased-noise qubits, in which one type of error (e.g. X- and Y-type errors) is significantly suppressed relative to the other (e.g. Z-type errors), can significantly reduce t…

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