Measurement of the muon lifetime and the Michel spectrum in the LAGO water Cherenkov detectors as a tool to enhance the signal-to-noise ratio-Reference-Cited by-同舟云学术

Measurement of the muon lifetime and the Michel spectrum in the LAGO water Cherenkov detectors as a tool to enhance the signal-to-noise ratio

Published:2023-11 Issue: Volume:1056 Page:168567
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Otiniano L.,Taboada A.,Asorey H.,Sidelnik I.,Castromonte C.,Fauth A.

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference7 articles.

1. LAGO, The Latin American Giant Observatory;Sidelnik;Nuc. Inst. Meth. A,2017

2. The data acquisition system of the Latin American Giant Observatory (LAGO);Sofo-Haro;Nuc. Inst. Meth. A,2016

3. T.T. Peralta, others for LAGO Collaboration, Particle Classification in the LAGO Water Cherenkov Detectors using Clustering Algorithms, in: These Proceedings, 2022.

4. I. Sidelnik, others for the LAGO Collaboration, Capability of water Cherenkov detectors of the LAGO project to detect Gamma-Ray Burst and High Energy Astrophysics sources, in: This Proceedings, 2022.

5. The ARTI framework: cosmic rays atmospheric background simulations;Sarmiento-Cano;Eur. Phys. J. C,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced Particle Classification in Water Cherenkov Detectors Using Machine Learning: Modeling and Validation with Monte Carlo Simulation Datasets;Atmosphere;2024-08-28

2. Particle classification in the LAGO water Cherenkov detectors using clustering algorithms;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2023-10