[HTML][HTML] Deep-learning based reconstruction of the shower maximum X max using the water-Cherenkov detectors of the Pierre Auger Observatory

RA Batista, PRA Ferreira, JCA Velázquez… - Journal of …, 2021 - iopscience.iop.org
The depth of the air shower maximum 𝑋max induced by ultra-high energy cosmic rays is a
key observable to estimate the mass of primary cosmic particles (see eg [1] for a review). In …

Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory

I Allekotte, X Bertou, G Golup, MG Berisso… - Journal of …, 2021 - elibrary.ru
Deep-learning based reconstruction of the shower maximum X<sub>max</sub> using the
water-Cherenkov detectors of the Pierre Auger Observatory КОРЗИНА ПОИСК …

[HTML][HTML] Deep-learning based reconstruction of the shower maximum X (max)() using the water-Cherenkov detectors of the Pierre Auger Observatory

A Aab, P Abreu, M Aglietta, JM Albury… - Journal of …, 2021 - bv.fapesp.br
The atmospheric depth of the air shower maximum X-max is an observable commonly used
for the determination of the nuclear mass composition of ultra-high energy cosmic rays …

Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory

A Aab, P Abreu, M Aglietta, JM Albury… - Journal of …, 2021 - pure.psu.edu
The atmospheric depth of the air shower maximum X max is an observable commonly used
for the determination of the nuclear mass composition of ultra-high energy cosmic rays …

[PDF][PDF] Deep-learning based reconstruction of the shower maximum X max using the water-Cherenkov detectors of the Pierre Auger Observatory

A Aab, P Abreu, M Aglietta, JM Albury… - Journal of …, 2021 - par.nsf.gov
The depth of the air shower maximum 𝑋max induced by ultra-high energy cosmic rays is a
key observable to estimate the mass of primary cosmic particles (see eg [1] for a review). In …

Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory

A Aab, P Abreu, M Aglietta, JM Albury, I Allekotte… - 2021 - hekyll.services.adelaide.edu.au
The atmospheric depth of the air shower maximum 𝑋max is an observable commonly used
for the determination of the nuclear mass composition of ultra-high energy cosmic rays …

Deep-learning based reconstruction of the shower maximum X max using the water-Cherenkov detectors of the Pierre Auger Observatory

A Aab, P Abreu, M Aglietta, JM Albury… - Journal of …, 2021 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> The atmospheric depth of the air shower
maximum< jats: italic> X</jats: italic>< jats: sub> max</jats: sub> is an observable commonly …

[PDF][PDF] Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory

B Abbott - cris.vub.be
The depth of the air shower maximum 𝑋max induced by ultra-high energy cosmic rays is a
key observable to estimate the mass of primary cosmic particles (see eg [1] for a review). In …

Deep-Learning based Reconstruction of the Shower Maximum using the Water-Cherenkov Detectors of the Pierre Auger Observatory

A Aab, P Abreu, M Aglietta, JM Albury… - arXiv preprint arXiv …, 2021 - arxiv.org
The atmospheric depth of the air shower maximum $ X_ {\mathrm {max}} $ is an observable
commonly used for the determination of the nuclear mass composition of ultra-high energy …

[PDF][PDF] Deep-Learning based Reconstruction of the Shower Maximum 𝑿max using the Water-Cherenkov Detectors of the Pierre Auger Observatory

arXiv preprint arXiv:2101.02946, 2021 - lss.fnal.gov
The depth of the air shower maximum 𝑋max induced by ultra-high energy cosmic rays is a
key observable to estimate the mass of primary cosmic particles (see eg [1] for a review). In …