Search for resonances decaying into a weak vector boson and a Higgs boson in the fully hadronic final state produced in proton − proton collisions at pffisffi = 13 TeV with the ATLAS detector
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Show full item recordEditorial
Amer Physical Soc
Date
2020-12-22Referencia bibliográfica
Abratenko, P., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., ... & Soderberg, M. (2020). Measurement of differential cross sections for ν μ-Ar charged-current interactions with protons and no pions in the final state with the MicroBooNE detector. Physical Review D, 102(11), 112013. [DOI: 10.1103/PhysRevD.102.112013]
Sponsorship
United States Department of Energy (DOE); National Science Foundation (NSF); Swiss National Science Foundation (SNSF); UK Research & Innovation (UKRI) Science & Technology Facilities Council (STFC); Royal Society of London; DE-AC02-07CH11359Abstract
We present an analysis of MicroBooNE data with a signature of one muon, no pions, and at least one
proton above a momentum threshold of 300 MeV=c (CC0πNp). This is the first differential cross-section
measurement of this topology in neutrino-argon interactions. We achieve a significantly lower proton
momentum threshold than previous carbon and scintillator-based experiments. Using data collected from a
total of approximately 1.6 × 1020 protons on target, we measure the muon neutrino cross section for the
CC0πNp interaction channel in argon at MicroBooNE in the Booster Neutrino Beam which has a mean
energy of around 800 MeV.We present the results from a data sample with estimated efficiency of 29% and
purity of 76% as differential cross sections in five reconstructed variables: the muon momentum and polar
angle, the leading proton momentum and polar angle, and the muon-proton opening angle. We include
smearing matrices that can be used to “forward fold” theoretical predictions for comparison with these
data. We compare the measured differential cross sections to a number of recent theory predictions
demonstrating largely good agreement with this first-ever dataset on argon.