Deep-Learning based Reconstruction of the Shower Maximum $X_{\mathrm{max}}$ using the Water-Cherenkov Detectors of the Pierre Auger Observatory

JINST 16 P07019

Authors:

The Pierre Auger Collaboration, A Aab, P Abreu, M Aglietta, Jm Albury, I Allekotte, A Almela, J Alvarez-Muñiz, R Alves Batista, Ga Anastasi, L Anchordoqui, B Andrada, S Andringa, C Aramo, PR Araújo Ferreira, JC Arteaga Velázquez, H Asorey, P Assis, G Avila, Am Badescu, A Bakalova, A Balaceanu, F Barbato, RJ Barreira Luz, Kh Becker, Ja Bellido, C Berat, Me Bertaina, X Bertou, Pl Biermann, T Bister, J Biteau, J Blazek, C Bleve, M Boháčová, D Boncioli, C Bonifazi, L Bonneau Arbeletche, N Borodai, Am Botti, J Brack, T Bretz, PG Brichetto Orchera, Fl Briechle, P Buchholz, A Bueno, S Buitink, M Buscemi, Ks Caballero-Mora, L Caccianiga

Abstract:

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 cosmic rays. Direct measurements of $X_{\mathrm{max}}$ are performed using observations of the longitudinal shower development with fluorescence telescopes. At the same time, several methods have been proposed for an indirect estimation of $X_{\mathrm{max}}$ from the characteristics of the shower particles registered with surface detector arrays. In this paper, we present a deep neural network (DNN) for the estimation of $X_{\mathrm{max}}$. The reconstruction relies on the signals induced by shower particles in the ground based water-Cherenkov detectors of the Pierre Auger Observatory. The network architecture features recurrent long short-term memory layers to process the temporal structure of signals and hexagonal convolutions to exploit the symmetry of the surface detector array. We evaluate the performance of the network using air showers simulated with three different hadronic interaction models. Thereafter, we account for long-term detector effects and calibrate the reconstructed $X_{\mathrm{max}}$ using fluorescence measurements. Finally, we show that the event-by-event resolution in the reconstruction of the shower maximum improves with increasing shower energy and reaches less than $25~\mathrm{g/cm^{2}}$ at energies above $2\times 10^{19}~\mathrm{eV}$.

Design and implementation of the AMIGA embedded system for data acquisition

JINST 16 T07008

Authors:

The Pierre Auger Collaboration, A Aab, P Abreu, M Aglietta, Jm Albury, I Allekotte, A Almela, J Alvarez-Muñiz, R Alves Batista, Ga Anastasi, L Anchordoqui, B Andrada, S Andringa, C Aramo, PR Araújo Ferreira, JC Arteaga Velázquez, H Asorey, P Assis, G Avila, Am Badescu, A Bakalova, A Balaceanu, F Barbato, RJ Barreira Luz, Kh Becker, Ja Bellido, C Berat, Me Bertaina, X Bertou, Pl Biermann, V Binet, T Bister, J Biteau, J Blazek, C Bleve, M Boháčová, D Boncioli, C Bonifazi, L Bonneau Arbeletche, N Borodai, Am Botti, J Brack, T Bretz, PG Brichetto Orchera, Fl Briechle, P Buchholz, A Bueno, S Buitink, M Buscemi, Ks Caballero-Mora

Abstract:

The Auger Muon Infill Ground Array (AMIGA) is part of the AugerPrime upgrade of the Pierre Auger Observatory. It consists of particle counters buried 2.3 m underground next to the water-Cherenkov stations that form the 23.5 km$^2$ large infilled array. The reduced distance between detectors in this denser area allows the lowering of the energy threshold for primary cosmic ray reconstruction down to about 10$^{17}$ eV. At the depth of 2.3 m the electromagnetic component of cosmic ray showers is almost entirely absorbed so that the buried scintillators provide an independent and direct measurement of the air showers muon content. This work describes the design and implementation of the AMIGA embedded system, which provides centralized control, data acquisition and environment monitoring to its detectors. The presented system was firstly tested in the engineering array phase ended in 2017, and lately selected as the final design to be installed in all new detectors of the production phase. The system was proven to be robust and reliable and has worked in a stable manner since its first deployment.

Fornax A, Centaurus A and other radio galaxies as sources of ultra-high energy cosmic rays

Monthly Notices of the Royal Astronomical Society: Letters Blackwell Publishing

Authors:

JH Matthews, AR Bell, KM Blundell, AT Araudo

Abstract:

The origin of ultra-high energy cosmic rays (UHECRs) is still unknown. It has recently been proposed that UHECR anisotropies can be attributed to starbust galaxies or active galactic nuclei. We suggest that the latter is more likely and that giant-lobed radio galaxies such as Centaurus A and Fornax A can explain the data.

Stochastic transport of high-energy particles through a turbulent plasma

Authors:

LE Chen, AFA Bott, P Tzeferacos, A Rigby, A Bell, R Bingham, C Graziani, J Katz, M Koenig, CK Li, R Petrasso, H-S Park, JS Ross, D Ryu, D Ryutov, TG White, B Reville, J Matthews, J Meinecke, F Miniati, EG Zweibel, Subir Sarkar, AA Schekochihin, DQ Lamb, DH Froula, G Gregori

Abstract:

The interplay between charged particles and turbulent magnetic fields is crucial to understanding how cosmic rays propagate through space. A key parameter which controls this interplay is the ratio of the particle gyroradius to the correlation length of the magnetic turbulence. For the vast majority of cosmic rays detected at the Earth, this parameter is small, and the particles are well confined by the Galactic magnetic field. But for cosmic rays more energetic than about 30 EeV, this parameter is large. These highest energy particles are not confined to the Milky Way and are presumed to be extragalactic in origin. Identifying their sources requires understanding how they are deflected by the intergalactic magnetic field, which appears to be weak, turbulent with an unknown correlation length, and possibly spatially intermittent. This is particularly relevant given the recent detection by the Pierre Auger Observatory of a significant dipole anisotropy in the arrival directions of cosmic rays of energy above 8 EeV. Here we report measurements of energetic-particle propagation through a random magnetic field in a laser-produced plasma. We characterize the diffusive transport of these particles and recover experimentally pitch-angle scattering measurements and extrapolate to find their mean free path and the associated diffusion coefficient, which show scaling-relations consistent with theoretical studies. This experiment validates these theoretical tools for analyzing the propagation of ultra-high energy cosmic rays through the intergalactic medium.

The Birth of a Relativistic Jet Following the Disruption of a Star by a Cosmological Black Hole

Authors:

Dheeraj Pasham, Matteo Lucchini, Tanmoy Laskar, Benjamin Gompertz, Shubham Srivas, Matt Nicholl, Stephen Smartt, James Miller-Jones, Kate Alexander, Rob Fender, Graham Smith, Michael Fulton, Gulab Dewangan, Keith Gendreau, Lauren Rhodes, Assaf Horesh, Sjoert van Velzen, Itai Sfaradi, Muryel Guolo, N Castro Segura, Aysha Aamer, Joseph Anderson, Iair Arcavi, Seán Brennan, Kenneth Chambers, Panos Charalampopoulos, Ting-Wan Chen, Alejandro Clocchiatti, Thomas de Boer, Michel Dennefeld, Elizabeth Ferrara, Lluís Galbany, Hua Gao, James Gillanders, Adelle Goodwin, Mariusz Gromadzki, M Huber, Peter Jonker, Manasvita Joshi, Erin Kara, Thomas Killestein, Peter Kosec, Daniel Kocevski, Giorgos Leloudas, Chien-Cheng Lin, Raffaella Margutti, Seppo Mattila, Thomas Moore, Tom ’as M\”uller-Bravo, Chow-Choong Ngeow, Samantha Oates, Francesca Onori, Yen-Chen Pan, Miguel Perez Torres, Priyanka Rani, Ronald Remillard, E Ridley, Steve Schulze, Xinyue Sheng, Luke Shingles, Ken Smith, James Steiner, Richard Wainscoat, Thomas Wevers, Sheng Yang