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- Columbia UniversityUS68 papers
- Fermi National Accelerator LaboratoryUS68 papers
- Los Alamos National LaboratoryUS67 papers
- University of MichiganUS63 papers
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- University of CincinnatiUS57 papers
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- New Mexico State UniversityUS38 papers
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- The University of Texas at ArlingtonUS33 papers
71 papers
XRISM/Resolve Spectroscopy of the Central Engine in the Seyfert-1 AGN Mrk 279
Jon M. Miller, Xin Xiang, Doyee Byun +9
High-resolution X-ray spectroscopy with XRISM gives an unprecedented view of the ``central engine'' in active galactic nuclei, providing unique insights into black hole accretion a…
XRISM Reveals a Remnant Torus in the Low-Luminosity AGN M81*
Jon M. Miller, Ehud Behar, Hisamitsu Awaki +10
Up to 40% of galaxies in the local universe host a low-luminosity active galactic nucleus (LLAGN), making it vital to understand this mode of black hole accretion. However, the pre…
Measurement of the Flux-Averaged Inclusive Charged-Current Electron Neutrino and Antineutrino Cross Section on Argon using the NuMI Beam and the MicroBooNE Detector
MicroBooNE collaboration, P. Abratenko, M. Alrashed +185
We present a measurement of the combined + flux-averaged charged-current inclusive cross section on argon using data from the MicroBooNE liquid argon time projectio…
Cosmic Ray Background Rejection with Wire-Cell LArTPC Event Reconstruction in the MicroBooNE Detector
MicroBooNE collaboration, P. Abratenko, M. Alrashed +186
For a large liquid argon time projection chamber (LArTPC) operating on or near the Earth's surface to detect neutrino interactions, the rejection of cosmogenic background is a crit…
Measurement of the Atmospheric Muon Rate with the MicroBooNE Liquid Argon TPC
MicroBooNE collaboration, C. Adams, M. Alrashed +187
MicroBooNE is a near-surface liquid argon (LAr) time projection chamber (TPC) located at Fermilab. We measure the characterisation of muons originating from cosmic interactions in…
Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE
MicroBooNE collaboration, P. Abratenko, M. Alrashed +180
We present the performance of a semantic segmentation network, SparseSSNet, that provides pixel-level classification of MicroBooNE data. The MicroBooNE experiment employs a liquid…