Tootfinder

A dedicated search for upward-going air showers at zenith angles exceeding 110° and energies 𝐸>0.1  EeV motivated by two “anomalous” radio pulses observed by the ANITA flights I and III that appear inconsistent with the standard model of particle physics.
Somebody call #Monsterdon
https://share.google/XKjyY8H5wyFFgnKBA

Machine learning driven reconstruction of cosmic-ray air showers for next generation radio arrays
Paras Koundal (for the IceCube-Gen2 Collaboration)
https://arxiv.org/abs/2507.07219

Machine learning driven reconstruction of cosmic-ray air showers for next generation radio arrays
Surface radio antenna-based measurements of cosmic-ray air showers present significant computational challenges in accurately reconstructing physics observables, in particular, the depth of shower maximum, X$_{max}$. State-of-the-art template fitting methods rely on extensive simulation libraries, limiting scalability. This work introduces a technique utilizing graph neural networks to reconstruct key air-shower parameters, in particular, direction and shower-core, energy, and X$_{max}$. For tr…

Electric-Field Reconstruction for Radio Detection of Inclined Air Showers in Three Polarizations
Kewen Zhang, Lukas G\"ulzow, Tim Huege, Ramesh Koirala, Pengxiong Ma, Mat\'ias Tueros, Xin Xu, Chao Zhang, Pengfei Zhang, Yi Zhang
https://arxiv.org/abs/2507.06874

Electric-Field Reconstruction for Radio Detection of Inclined Air Showers in Three Polarizations
Accurate reconstruction of the electric field produced by extensive air showers is essential for the radio-detection technique, as the key parameters of interest of the primary particles that generated the showers are the amplitude, polarization, frequency spectrum, and energy fluence carried by the electric field at each receiving radio antenna. Conventional electric-field reconstruction methods primarily focus on antennas with two horizontal polarizations. In this work, we introduce an analyt…

Study of Stability and Consistency of EAS Thermal Neutron Detection at ENDA-64
Heng-Yu Zhang, Xin-Hua Ma, Tian-Lu Chen, Shu-Wang Cui, Danzengluobu, Wei Gao, Wen-Chao Gao, Xin-Rui Gao, Zi-Ao Gong, Hai-Bing Hu, Denis Kuleshov, Kirill Kurinov, Bing-Bing Li, Fan-Ping Li, Jia-Heng Li, Yang Li, Hu Liu, Mao-Yuan Liu, Ye Liu, Xi-An Pan, Da-Yu Peng, Yao-Hui Qi, Dong Qu, Oleg Shchegolev, Yuri Stenkin, Tian-Shuang Yang, Li-Qiao Yin, Hui-Qian Zhang, Liang-Wei Zhang, Shi-Yuan Zhang

Study of Stability and Consistency of EAS Thermal Neutron Detection at ENDA-64
Introduction:Electron-Neutron Detector Array (ENDA) is designed to measure thermal neutrons produced by hadronic interactions between cosmic ray extensive air showers (EAS) and the surrounding environment as well as electrons around the cores of EAS. ENDA is located within Large High Altitude Air Shower Observatory (LHAASO). ENDA was expanded from an initial 16 detectors to 64 detectors in April 2023, so called ENDA-64, and has been running alongside LHAASO. The stability and consistency of neu…

Signal Model and Energy Reconstruction for the Radio Detection of Inclined Air Showers in the 50-200 MHz Frequency Band
Lukas G\"ulzow, Ralph Engel, Tim Huege, Markus Roth, Felix Schl\"uter
https://arxiv.org/abs/2507.06698

Signal Model and Energy Reconstruction for the Radio Detection of Inclined Air Showers in the 50-200 MHz Frequency Band
The radio emission of cosmic-ray air-showers changes significantly depending on parameters like signal frequency, magnetic field configuration and observing altitude. We use CoREAS simulations to adapt an existing signal model for the radio emission of inclined showers in the 30-80 MHz frequency band to the wide 50-200 MHz band. Our model uses a parametrisation of the charge excess fraction to isolate the geomagnetic emission component. We reconstruct the geomagnetic radiation energy by fitting…

Generative Neural Network for Simulating Radio Emission from Extensive Air Showers
Pranav Sampathkumar, Tim Huege, Andreas Haungs, Ralph Engel
https://arxiv.org/abs/2507.07713

Generative Neural Network for Simulating Radio Emission from Extensive Air Showers
Cosmic ray shower detection using large radio arrays has gained significant traction in recent years. With massive improvements in signal modelling and microscopic simulations, the analysis of incoming events is still severely limited by the simulation cost of radio emission to interpret the data. In this work, we show that a neural network can be used for simulating such radio pulses. We also demonstrate how such a neural network can be used for $X_\mathrm{max}$ reconstruction, while retaining…

Denoising radio pulses from air showers using machine-learning methods
Aur\'elien Benoit-L\'evy (for the GRAND Collaboration), Zhisen Lai (for the GRAND Collaboration), Oscar Macias (for the GRAND Collaboration), Ars\`ene Ferri\`ere (for the GRAND Collaboration)
https://arxiv.org/abs/2507.06688

Denoising radio pulses from air showers using machine-learning methods
The Giant Radio Array for Neutrino Detection (GRAND) aims to detect radio signals from extensive air showers (EAS) caused by ultra-high-energy (UHE) cosmic particles. Galactic, hardware-like, and anthropogenic noise are expected to contaminate these signals. To address this problem, we propose training a supervised convolutional network known as an encoder-decoder. This network is used to learn a coded representation of the data and remove specific features from it. This denoiser is trained usi…

Improved Gamma-Hadron Separation for PeV Photon Searches with IceCube (ICRC 2025)
Frank G. Schr\"oder (for the IceCube Collaboration), Federico Bontempo (for the IceCube Collaboration)
https://arxiv.org/abs/2507.05833

Improved Gamma-Hadron Separation for PeV Photon Searches with IceCube (ICRC 2025)
IceTop, the km$^2$ surface array of the IceCube Neutrino Observatory at the South Pole, is sensitive to air showers of all primary particles, including gamma rays. In particular, in the PeV energy range, the combination of IceTop and IceCube's deep optical detector provides excellent gamma-hadron separation. Almost all air showers induced by cosmic-ray protons and heavier nuclei in this energy range contain high-energy muons detectable by the deep detector, while most photon-induced air showers…

New Public Neutrino Alerts for Clusters of IceCube Events
Sarah Mancina (for the IceCube Collaboration), Sergio Cuenca (for the IceCube Collaboration), Elisa Bernardini (for the IceCube Collaboration)
https://arxiv.org/abs/2507.07491

New Public Neutrino Alerts for Clusters of IceCube Events
The IceCube Neutrino Observatory searches for the origins of astrophysical neutrinos using various techniques to overcome the significant backgrounds produced by cosmic-ray air showers. One such technique involves combining the neutrino data with other cosmic messengers to identify spatial and temporal correlations. IceCube contributes to multi-messenger astrophysics (MMA) by providing alerts for interesting events observed in the detector. The Gamma-ray Follow-Up (GFU) cluster alert system is …

Determining the orientation of radio antennas at the South Pole using Galactic noise measurements
Paras Koundal (for the IceCube Collaboration), Valeria Torres-Gomez (for the IceCube Collaboration)
https://arxiv.org/abs/2507.07224

Determining the orientation of radio antennas at the South Pole using Galactic noise measurements
The IceCube Neutrino Observatory is a multi-messenger observatory at the South Pole. As preparation for an enhancement of its surface array, IceTop, a prototype station consisting of elevated scintillation panels and radio antennas has been installed and is operating since 2020. The radio antennas detect emissions from cosmic-ray-induced air showers, and their precise orientation is essential for an accurate reconstruction of the air-shower properties. This work presents a novel method to deter…