17 citations · 29 across the 7 of their papers we have counts for
7 papers
Characterization of the Three-Flavor Composition of Cosmic Neutrinos with IceCube
R. Abbasi, M. Ackermann, J. Adams +429
Neutrinos oscillate over cosmic distances. Using 11.4 years of IceCube data, the flavor composition of the all-sky neutrino flux from 5\,TeV--10\,PeV is studied. We report the firs…
The IceCube-Gen2 Collaboration -- Contributions to the 39th International Cosmic Ray Conference (ICRC2025)
R. Abbasi, M. Ackermann, J. Adams +465
IceCube-Gen2 is a planned next-generation neutrino observatory at the South Pole that builds upon the successful design of IceCube. Integrating two complementary detection technolo…
The IceCube Collaboration -- Contributions to the 39th International Cosmic Ray Conference (ICRC2025)
R. Abbasi, M. Ackermann, J. Adams +426
The IceCube Observatory at the South Pole has been operating in its full configuration since May 2011 with a duty cycle of about 99%. Its main component consists of a cubic-kilomet…
Measurement of the mean number of muons with energies above 500 GeV in air showers detected with the IceCube Neutrino Observatory
R. Abbasi, M. Ackermann, J. Adams +413
We present a measurement of the mean number of muons with energies larger than 500 GeV in near-vertical extensive air showers initiated by cosmic rays with primary energies between…
Observation of Cosmic-Ray Anisotropy in the Southern Hemisphere with 12 yr of Data Collected by the IceCube Neutrino Observatory
R. Abbasi, M. Ackermann, J. Adams +434
We analyzed the 7.92 cosmic-ray-induced muon events collected by the IceCube Neutrino Observatory from May 13, 2011, when the fully constructed experiment started t…
Search for vector-boson resonances decaying to a top quark and bottom quark in the lepton plus jets final state in collisions at = 13 TeV with the ATLAS detector
ATLAS Collaboration
A search for new charged massive gauge bosons, , is performed with the ATLAS detector at the LHC. Data were collected in proton-proton collisions at a centre-of-mass ener…
Learning optimal wavelet bases using a neural network approach
Andreas Søgaard
A novel method for learning optimal, orthonormal wavelet bases for representing 1- and 2D signals, based on parallels between the wavelet transform and fully connected artificial n…