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You searched for: Author/Creator Porcelli, A.

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1. A convolutional neural network based cascade reconstruction for the IceCube Neutrino Observatory. (22nd July 2021)

2. A muon-track reconstruction exploiting stochastic losses for large-scale Cherenkov detectors. (12th August 2021)

3. Efficient propagation of systematic uncertainties from calibration to analysis with the SnowStorm method in IceCube. Issue 10 (21st October 2019)

5. First all-flavor search for transient neutrino emission using 3-years of IceCube DeepCore data. Issue 1 (18th January 2022)

6. Framework and tools for the simulation and analysis of the radio emission from air showers at IceCube. (1st June 2022)

7. Graph Neural Networks for low-energy event classification & reconstruction in IceCube. (1st November 2022)

8. In-situ calibration of the single-photoelectron charge response of the IceCube photomultiplier tubes. (1st June 2020)

10. Modulations of the cosmic muon signal in ten years of Borexino data. Issue 2 (22nd February 2019)