197 citations · 1.1k across the 16 of their papers we have counts for
46 papers
Bayesian Topic Regression for Causal Inference
Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess +1
Causal inference using observational text data is becoming increasingly popular in many research areas. This paper presents the Bayesian Topic Regression (BTR) model that uses both…
The IceCube-Gen2 Collaboration -- Contributions to the 37th International Cosmic Ray Conference (ICRC2021)
Gen2 Collaboration, R. Abbasi, M. Ackermann +437
IceCube-Gen2 is a planned extension of the IceCube Neutrino Observatory at the South Pole. The extension is optimized to search for sources of astrophysical neutrinos from TeV to E…
A muon-track reconstruction exploiting stochastic losses for large-scale Cherenkov detectors
R. Abbasi, M. Ackermann, J. Adams +362
IceCube is a cubic-kilometer Cherenkov telescope operating at the South Pole. The main goal of IceCube is the detection of astrophysical neutrinos and the identification of their s…
IceCube Data for Neutrino Point-Source Searches Years 2008-2018
IceCube Collaboration, R. Abbasi, M. Ackermann +370
IceCube has performed several all-sky searches for point-like neutrino sources using track-like events, including a recent time-integrated analysis using 10 years of IceCube data.…
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory
R. Abbasi, M. Ackermann, J. Adams +364
Continued improvements on existing reconstruction methods are vital to the success of high-energy physics experiments, such as the IceCube Neutrino Observatory. In IceCube, further…
LeptonInjector and LeptonWeighter: A neutrino event generator and weighter for neutrino observatories
R. Abbasi, M. Ackermann, J. Adams +362
We present a high-energy neutrino event generator, called LeptonInjector, alongside an event weighter, called LeptonWeighter. Both are designed for large-volume Cherenkov neutrino…