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08:30
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--- Breakfast and Registration ---
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09:00
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Opening Session
-
Frank Schroeder
(University of Delaware / Karlsruhe Institute of Technology)
(until 10:30)
(Clayton Hall)
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09:00
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Welcome
-
Frank Schroeder
(University of Delaware / Karlsruhe Institute of Technology)
(Clayton Hall)
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09:30
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Teaching AI and ML to phsyics students
- Prof.
Federica Bianco
(University of Delaware)
(Clayton Hall)
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10:30
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--- Coffee Break ---
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11:00
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Talks
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Aswathi Balagopal V
(UW-Madison)
(until 12:30)
(Clayton Hall)
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11:00
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Deep Learning in Astroparticle Physics
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Jonas Glombitza
(RWTH AACHEN UNIVERSITY)
(Clayton Hall)
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11:45
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A Hybrid Approach to Event Reconstruction for Atmospheric Cherenkov Telescopes Combining Machine Learning and Likelihood Fitting (Remote)
- Mr
Georg Schwefer
(Max-Planck-Institut für Kernphysik)
(Clayton Hall)
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12:15
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Deep Learning applied to CTAO LST-1 and the difficulty to go from simulated to real data (Remote)
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Thomas Vuillaume
(LAPP, Univ. Savoie Mont-Blanc, CNRS)
(Clayton Hall)
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08:30
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--- Breakfast ---
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09:00
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Talks
-
Steffen Traugott Hahn
(KIT - IAP/ETP)
(until 10:30)
(Clayton Hall)
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09:00
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Machine Learning at Telescope Array (Remote)
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Ivan Kharuk
(Institute for Nuclear Research RAS)
(Clayton Hall)
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09:30
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Evaluation of energy reconstruction performance of the Telescope Array surface detector using a deep neural network and hybrid data (Remote)
-
Anton Prosekin
(Institute of Physics, Academia Sinica)
(Clayton Hall)
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10:00
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Reconstruction of energy and arrival directions of UHECRs registered by fluorescence telescopes with a neural network (Remote)
-
Mikhail Zotov
(Lomonosov Moscow State University)
(Clayton Hall)
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10:30
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--- Coffee Break ---
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11:00
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Talks
-
Felix Yu
(until 12:30)
(Clayton Hall)
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11:00
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Generative Neural Networks for Simulating Radio Emission from Air Showers (Remote)
-
Pranav Sampathkumar
(IAP, KIT)
(Clayton Hall)
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11:20
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Detection of Radio Signals from Cosmic Rays Using Convolutional Neural Networks with Data from SKALA antennas at IceTop
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Paula Gálvez Molina
(Clayton Hall)
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11:40
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Direction and energy reconstruction with uncertainty quantification for GRAND using graph neural network (Remote)
-
Aurélien Benoit-Lévy
(CEA-List)
for the GRAND Collaboration
Arsène Ferrière
(CEA-List)
(Clayton Hall)
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12:00
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Denoising Radio Pulses from Air Showers Using Machine Learning Methods (Remote)
- Mr
Zhisen Lai
(SFSU)
(Clayton Hall)
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12:15
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Convolutional Neural Network Processing of Radio Emission for Nuclear Composition Classification of Ultra-High-Energy Cosmic Rays (Remote)
- Mr
Tudor Alexandru Calafeteanu
(Faculty of Automatic Control and Computer Science, National University of Science and Technology Politehnica Bucharest, 060042 Bucharest, Romania)
Mrs
Cosmina Mihoreanu
(Faculty of Automatic Control and Computer Science, National University of Science and Technology Politehnica Bucharest, 060042 Bucharest, Romania)
Dr
Paula Gina Isar
(Institute of Space Science — INFLPR Subsidiary, 077125 Bucharest-Magurele, Romania)
(Clayton Hall)
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08:30
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--- Breakfast ---
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09:00
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Talks
-Dr
Jonas Glombitza
(Erlangen Centre for Astroparticle Physics (ECAP), Friedrich-Alexander-Universität Erlangen-Nürnberg )
(until 10:30)
(Clayton Hall)
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09:00
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Mass composition study with machine learning on KASCADE archival data (Remote)
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Nikita Petrov
(Novosibirsk State University)
(Clayton Hall)
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09:20
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Improving Gamma-ray Angular Resolution with Convolutional Neural Network De-noiser
- Dr
Ruo-Yu Shang
(Barnard College, Columbia University)
(Clayton Hall)
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09:40
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Modeling IACT Gamma-ray Background using Singular Value Decomposition
- Dr
Ruo-Yu Shang
(Barnard College, Columbia University)
(Clayton Hall)
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10:05
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Stereograph: stereoscopic event reconstruction using graph neural networks applied to CTAO (Remote)
- Mrs
Hana Ali Messaoud
(LAPP, Univ. Savoie Mont-Blanc, CNRS)
(Clayton Hall)
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10:30
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--- Coffee Break ---
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11:00
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Talks
-
Stef Verpoest
(University of Delaware)
(until 12:30)
(Clayton Hall)
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11:00
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Fast Generation of Realistic Data-Driven Stereoscopic Shower Images using Generative Adversarial Networks (Remote)
- Dr
Kameswara Bharadwaj Mantha
(University of Minnesota)
(Clayton Hall)
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11:30
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AI Agents for Ground-Based Gamma Astronomy (Remote)
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Dmitriy Kostunin
(DESY)
(Clayton Hall)
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12:00
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Application of graph networks to a next generation wide-field gamma-ray observatory in the southern sky
-
Franziska Leitl
(Erlangen Centre for Astroparticle Physics (ECAP), Friedrich-Alexander-Universität Erlangen-Nürnberg)
(Clayton Hall)
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09:00
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Follow-Up Small Group Workshop(s)
(until 17:00)
(Sharp Lab)
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13:00
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Psst . . . Your AI Is Showing: How to Put Your Own Voice in Scientific Papers
(until 16:30)
(Gore Hall)
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17:00
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Reception
(until 20:00)
()
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12:30
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--- Lunch ---
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14:00
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Talks
-Dr
Matthias Plum
(South Dakota School of Mines and Technology)
(until 15:30)
(Clayton Hall)
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14:00
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Machine Learning Techniques for Neutrino Reconstructions in IceCube
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Philip Weigel
(Massachusetts Institute of Technology)
(Clayton Hall)
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14:45
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Interpretable Deep Learning for Event Reconstruction in IceCube
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Mirco Huennefeld
(Universität Dortmund)
(Clayton Hall)
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15:30
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--- Coffee Break ---
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16:00
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Talks
-
Agnieszka Leszczynska
(University of Delaware)
(until 17:30)
(Clayton Hall)
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16:00
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Towards improving efficiency of machine learning techniques in neutrino telescopes
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Felix Yu
(Clayton Hall)
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16:45
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Machine learning-based analyses using surface detector data of the Pierre Auger Observatory
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Steffen Traugott Hahn
(KIT - IAP/ETP)
(Clayton Hall)
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12:30
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--- Lunch ---
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14:00
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Talks
-
Abdul Rehman
(University of Delaware)
(until 15:30)
(Clayton Hall)
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14:00
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UHE Cosmic Ray Candidate Identification in RNO-G Deep Antennas Using Machine Learning
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Bryan Hendricks
(Pennsylvania State University)
(Clayton Hall)
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14:20
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In-situ pulser depth reconstruction for RNO-G using Neural Network
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Sanyukta Agarwal
(University of Kansas)
(Clayton Hall)
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14:40
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A Simulation-Based Inference Method for Electric Field Reconstruction (Remote)
- Mr
Thomas McKinley
(SFSU)
(Clayton Hall)
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14:55
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Reconstructing the Direction of Ultra-High-Energy Cosmic Rays Using a Simulation-Based Inference Method
- Mr
Zach Mason
(SFSU)
(Clayton Hall)
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15:10
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The Radar Echo Telescope for Cosmic rays
-
Krishna Nivedita Gopinath
(Radboud University)
(Clayton Hall)
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15:30
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--- Coffee Break ---
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16:00
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Talks
-
Andrea Parenti
(until 17:00)
(Clayton Hall)
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16:00
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A graph neural network reconstruction for the IceAct telescopes
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Larissa Paul
(South Dakota School of Mines & Technology)
(Clayton Hall)
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16:30
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Gamma/Hadron Separation using Machine Learning Methods with the IceAct Telescopes
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Logan Molchany
(University of Delaware)
(Clayton Hall)
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18:00
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Dinner
(until 20:00)
()
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12:30
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--- Lunch ---
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14:00
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Talks
-
Larissa Paul
(South Dakota School of Mines & Technology)
(until 15:20)
(Clayton Hall)
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14:00
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Graph Neural Networks for Photon Search with the Underground Muon Detector of the Pierre Auger Observatory (Remote)
-
Ezequiel Rodriguez
(ITeDA-KIT)
(Clayton Hall)
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14:20
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IceTop gamma-hadron separation and angular error estimation using machine learning techniques
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Sebastian Vergara Carrasco
(Clayton Hall)
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14:40
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IceTop-CNN: Cosmic-Ray Reconstruction in IceTop using a Convolutional Neural Network with Low-Level Inputs (Remote)
-
Ethan Dorr
(Clayton Hall)
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15:00
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Optimizing a Cosmic-ray Energy Estimator with Machine learning for the HAWC observatory (Remote)
-
Tomás Capistrán
(Università degli Studi di Torino & INFN Sezione di Torino)
(Clayton Hall)
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15:20
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--- Coffee Break ---
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15:50
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Talks
-
Spencer Axani
(The University of Delaware)
(until 17:05)
(Clayton Hall)
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15:50
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Searching for Rare Astrophysical Events with Rare AI
- Prof.
Aobo Li
(Clayton Hall)
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16:35
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Machine learning using NuDot
-
Masooma Sarfraz
(Clayton Hall)
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17:05
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Closing Session
-
Spencer Axani
(The University of Delaware)
(until 17:30)
(Clayton Hall)
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