22 papers
OpFML: Pipeline for ML-based Operational Inference
Shahbaz Alvi, Giusy Fedele, Gabriele Accarino +3
Machine learning models for climate and Earth science are becoming increasingly capable, yet model deployment into operational use remains a largely unaddressed challenge: general-…
Depth of Maximum of Air-Shower Profiles above 10^17.7 eV Measured with the Fluorescence Detector of the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu +358
We present measurements of the depth of shower maximum, Xmax, for cosmic-ray-induced extensive air showers recorded by the fluorescence detector of the Pierre Auger Observatory ove…
Operational evaluation of data-driven forest fire forecasting models
Shahbaz Alvi, Italo Epicoco, Jose Maria Costa Saura
A growing body of literature has focused on predicting wildfire occurrence using machine learning methods, capitalizing on high-resolution data and fire predictors that canonical p…
Measuring the muon content of inclined air showers using AERA and the water-Cherenkov detectors of the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu +360
We present a novel approach for assessing the muon content of air showers with large zenith angles on a combined analysis of their radio emission and particle footprint. We use the…
The distribution of ultra-high-energy cosmic rays along the supergalactic plane measured at the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu +364
Ultra-high-energy cosmic rays are known to be mainly of extragalactic origin, and their propagation is limited by energy losses, so their arrival directions are expected to correla…
Radio Measurements of the Depth of Air-Shower Maximum at the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu +372
The Auger Engineering Radio Array (AERA), part of the Pierre Auger Observatory, is currently the largest array of radio antenna stations deployed for the detection of cosmic rays,…