Imagen de Portada

Learning Efficient Representations of Neutrino Telescope Events

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yu, Felix J., Kamp, Nicholas, Argüelles, Carlos A.
Formato:	Preprint
Publicado:	2024
Materias:	Data Analysis, Statistics and Probability Instrumentation and Methods for Astrophysics Machine Learning High Energy Physics - Experiment
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-Resolution
por: Yu, Felix J., et al.
Publicado: (2024)

Reducing Simulation Dependence in Neutrino Telescopes with Masked Point Transformers
por: Yu, Felix J., et al.
Publicado: (2025)

NuBench: An Open Benchmark for Deep Learning-Based Event Reconstruction in Neutrino Telescopes
por: Orsoe, Rasmus F., et al.
Publicado: (2025)

Methodological Synergies between Technosignature and UHE Neutrino Searches
por: Dasgupta, Paramita
Publicado: (2026)

Ising noise filter: physics-informed filtering for particle detectors
por: Kharuk, I.
Publicado: (2026)

XENONnT WIMP Search: Signal & Background Modeling and Statistical Inference
por: XENON Collaboration, et al.
Publicado: (2024)

Information Field Theory based Event Reconstruction for Cosmic Ray Radio Detectors
por: Strähnz, Simon, et al.
Publicado: (2025)

Bayesian network 3D event reconstruction in the Cygno optical TPC for dark matter direct detection
por: Amaro, Fernando Domingues, et al.
Publicado: (2025)

Fast Identification of Transients: Applying Expectation Maximization to Neutrino Data
por: Karl, Martina, et al.
Publicado: (2023)

Log-Normal Waiting Time Widths Characterize Dynamics
por: Katz, J. I.
Publicado: (2023)

Improved modeling of in-ice particle showers for IceCube event reconstruction
por: Abbasi, R., et al.
Publicado: (2024)

NOMAI : A real-time photometric classifier for superluminous supernovae identification. A science module for the Fink broker
por: Russeil, E., et al.
Publicado: (2026)

Machine Learning based Pointing Models for Radio/Sub-millimeter Telescopes
por: Nyheim, Bendik, et al.
Publicado: (2024)

AI Cosplaying as Astrophysicists: A Controlled Synthetic-Agent Study of AI-Assisted Astrophysical Research Workflows
por: Huang, Chun
Publicado: (2026)

Anomaly detection with flow-based fast calorimeter simulators
por: Krause, Claudius, et al.
Publicado: (2023)

A NuSTAR study of quasi-periodic oscillations from the ultraluminous X-ray sources in M82
por: Byad, Hamza El, et al.
Publicado: (2025)

Can AI Understand Our Universe? Test of Fine-Tuning GPT by Astrophysical Data
por: Wang, Yu, et al.
Publicado: (2024)

Insights into Dark Matter Direct Detection Experiments: Decision Trees versus Deep Learning
por: Lopez-Fogliani, Daniel E., et al.
Publicado: (2024)

Zero-Shot Detection of Elastic Transient Morphology Across Physical Systems
por: Andreu, Jose Sánchez
Publicado: (2026)

Is machine learning good or bad for the natural sciences?
por: Hogg, David W., et al.
Publicado: (2024)

Deep learning-based identification of precipitation clouds from all-sky camera data for observatory safety
por: Haghighi, Mohammad H. Zhoolideh, et al.
Publicado: (2025)

Astrometric Binary Classification Via Artificial Neural Networks
por: Smith, Joe
Publicado: (2024)

Graph Neural Network for Neutrino Physics Event Reconstruction
por: Hewes, V, et al.
Publicado: (2024)

A comparative analysis of GNSS-inferred precipitable water vapour at the potential sites for the Africa Millimetre Telescope
por: Frans, Lott, et al.
Publicado: (2025)

MiniFool -- Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks
por: Flek, Lucie, et al.
Publicado: (2025)

Generalized tension metrics for multiple cosmological datasets
por: Leizerovich, Matías, et al.
Publicado: (2025)

Bertrand's Representation of the Optimal Detector
por: Lenok, Vladimir
Publicado: (2025)

Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning
por: Gavrikov, A., et al.
Publicado: (2025)

An accurate solar axions ray-tracing response of BabyIAXO
por: Ahyoune, S., et al.
Publicado: (2024)

Neutrino Telescope Event Classification on Quantum Computers
por: Rodriguez-Grasa, Pablo, et al.
Publicado: (2025)

Exploring Multi-view Symbolic Regression methods in physical sciences
por: Russeil, Etienne, et al.
Publicado: (2025)

Transfer Learning Beyond the Standard Model
por: Krishnaraj, Veena, et al.
Publicado: (2025)

Initial Conditions from Galaxies: Machine-Learning Subgrid Correction to Standard Reconstruction
por: Parker, Liam, et al.
Publicado: (2025)

Supervised Machine Learning Methods with Uncertainty Quantification for Exoplanet Atmospheric Retrievals from Transmission Spectroscopy
por: Forestano, Roy T., et al.
Publicado: (2025)

Efficient Summation of Arbitrary Masks -- ESAM
por: Gupta, Vivek, et al.
Publicado: (2024)

Compensator-Based Inference for Signal Detection Under Unknown Background
por: Banerjee, Aritra, et al.
Publicado: (2026)

Bayesian Multi-wavelength Imaging of the LMC SN1987A with SRG/eROSITA
por: Eberle, Vincent, et al.
Publicado: (2024)

GPS constellation search for exotic physics messengers coincident with the binary neutron star merger GW170817
por: Sen, Arko P., et al.
Publicado: (2026)

The Fast Stochastic Matching Pursuit for Neutrino and Dark Matter Experiments
por: Wang, Yuyi, et al.
Publicado: (2024)

Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector
por: Gavrikov, A., et al.
Publicado: (2024)