Likelihood reconstruction for radio detectors of neutrinos and cosmic rays
Ultra-high-energy neutrinos and cosmic rays are excellent probes of astroparticle physics phenomena. For astroparticle physics analyses, robust and accurate reconstruction of signal parameters such as arrival direction and energy is essential. Radio detection is an established detector concept explored by many observatories; however, current reconstruction methods ignore bin-to-bin noise correlations, which limits reconstruction resolution and, so far, has prevented calculations of event-by-event uncertainties. In this work, we present a likelihood description of neutrino or cosmic-ray signals in radio detectors with correlated noise, as present in all neutrino and cosmic-ray radio detectors. We demonstrate, with simulation studies of both neutrinos and cosmic-ray radio signals, that signal parameters such as energy and direction, including event-by-event uncertainties with correct coverage, can be obtained. This method reduces reconstruction uncertainties and biases compared to previous approaches. Additionally, the Likelihood can be used for event selection and enables differentiable end-to-end detector optimization. The reconstruction code is available through the open-source software NuRadioReco.
展开 ▾中微子和宇宙线射电探测器的似然重建 · 提出一种考虑相关噪声的似然方法,用于重建射电探测器中微子/宇宙线的能量、方向等参数,并给出逐事件不确定性,相比以往方法降低了重建不确定性和偏差。
预印本 2025-10-24 · 刊出 2026-08-11 · 收录 2026-08-22