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T. Lux

20 papers here

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

author position
  • last author1

Across the 1 of 20 papers where every author was matched, so the position is known.

fields
  • hep-ex11
  • physics.ins-det8
  • hep-ph1
ORCID 0000-0002-7807-0856
same name
  • T. Lux — 74 papers, h 37
  • T. Lux — 17 papers, h 4
  • T. Lux — 12 papers, h 2
  • T. Lux — 5 papers, h 50
  • T. Lux — 2 papers, h 9

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
20042023
most citedThe T2K Experiment

824 citations · 1.5k across the 20 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

physics.ins-det2020★ 45 cited

Neutrino interaction classification with a convolutional neural network in the DUNE far detector

DUNE Collaboration, B. Abi, R. Acciarri +968

The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure CP-violation in the neutrino sector as part of a wider physics…

hep-ex2020★ 19 cited

Measurement of the charged-current electron (anti-)neutrino inclusive cross-sections at the T2K off-axis near detector ND280

K. Abe, N. Akhlaq, R. Akutsu +366

The electron (anti-)neutrino component of the T2K neutrino beam constitutes the largest background in the measurement of electron (anti-)neutrino appearance at the far detector. Th…

hep-ph2020★ 5 cited

Likelihood-free inference of experimental Neutrino Oscillations using Neural Spline Flows

Sebastian Pina-Otey, Federico Sánchez, Vicens Gaitan +1

In machine learning, likelihood-free inference refers to the task of performing an analysis driven by data instead of an analytical expression. We discuss the application of Neural…

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