Data leakage in deep learning studies of translational EEG

Autor: Geoffrey Brookshire, Jake Kasper, Nicholas M. Blauch, Yunan Charles Wu, Ryan Glatt, David A. Merrill, Spencer Gerrol, Keith J. Yoder, Colin Quirk, Ché Lucero

Publikováno v: Frontiers in Neuroscience, Vol 18 (2024)

A growing number of studies apply deep neural networks (DNNs) to recordings of human electroencephalography (EEG) to identify a range of disorders. In many studies, EEG recordings are split into segments, and each segment is randomly assigned to the

Externí odkaz: https://doaj.org/article/8746e7d329c94692b2cf5f78afbf8ff4

Probing strong-field QED in beam-plasma collisions

Autor: Aimé Matheron, Pablo San Miguel Claveria, Robert Ariniello, Henrik Ekerfelt, Frederico Fiuza, Spencer Gessner, Max F. Gilljohann, Mark J. Hogan, Christoph H. Keitel, Alexander Knetsch, Mike Litos, Yuliia Mankovska, Samuele Montefiori, Zan Nie, Brendan O’Shea, J. Ryan Peterson, Doug Storey, Yipeng Wu, Xinlu Xu, Viktoriia Zakharova, Xavier Davoine, Laurent Gremillet, Matteo Tamburini, Sébastien Corde

Publikováno v: Communications Physics, Vol 6, Iss 1, Pp 1-9 (2023)

Abstract Ongoing progress in laser and accelerator technology opens new possibilities in high-field science, notably to investigate the largely unexplored strong-field quantum electrodynamics (SFQED) regime where electron-positron pairs can be create

Externí odkaz: https://doaj.org/article/572e009da09749e6a33c4e33cde44dfd

Compact source of positron beams with small thermal emittance

Autor: Rafi Hessami, Spencer Gessner

Publikováno v: Physical Review Accelerators and Beams, Vol 26, Iss 12, p 123402 (2023)

We investigate electrostatic traps as a novel source of positron beams for accelerator physics applications. Penning-Malmberg (PM) traps are commonly employed in low-energy antimatter experiments. Positrons contained in the trap are cooled to room te

Externí odkaz: https://doaj.org/article/e303a3da3e6b409a9407b442c8df135c

The AWAKE Run 2 Programme and Beyond

Autor: Edda Gschwendtner, Konstantin Lotov, Patric Muggli, Matthew Wing, Riccardo Agnello, Claudia Christina Ahdida, Maria Carolina Amoedo Goncalves, Yanis Andrebe, Oznur Apsimon, Robert Apsimon, Jordan Matias Arnesano, Anna-Maria Bachmann, Diego Barrientos, Fabian Batsch, Vittorio Bencini, Michele Bergamaschi, Patrick Blanchard, Philip Nicholas Burrows, Birger Buttenschön, Allen Caldwell, James Chappell, Eric Chevallay, Moses Chung, David Andrew Cooke, Heiko Damerau, Can Davut, Gabor Demeter, Amos Christopher Dexter, Steffen Doebert, Francesa Ann Elverson, John Farmer, Ambrogio Fasoli, Valentin Fedosseev, Ricardo Fonseca, Ivo Furno, Spencer Gessner, Aleksandr Gorn, Eduardo Granados, Marcel Granetzny, Tim Graubner, Olaf Grulke, Eloise Daria Guran, Vasyl Hafych, Anthony Hartin, James Henderson, Mathias Hüther, Miklos Kedves, Fearghus Keeble, Vadim Khudiakov, Seong-Yeol Kim, Florian Kraus, Michel Krupa, Thibaut Lefevre, Linbo Liang, Shengli Liu, Nelson Lopes, Miguel Martinez Calderon, Stefano Mazzoni, David Medina Godoy, Joshua Moody, Kookjin Moon, Pablo Israel Morales Guzmán, Mariana Moreira, Tatiana Nechaeva, Elzbieta Nowak, Collette Pakuza, Harsha Panuganti, Ans Pardons, Kevin Pepitone, Aravinda Perera, Jan Pucek, Alexander Pukhov, Rebecca Louise Ramjiawan, Stephane Rey, Adam Scaachi, Oliver Schmitz, Eugenio Senes, Fernando Silva, Luis Silva, Christine Stollberg, Alban Sublet, Catherine Swain, Athanasios Topaloudis, Nuno Torrado, Petr Tuev, Marlene Turner, Francesco Velotti, Livio Verra, Victor Verzilov, Jorge Vieira, Helmut Vincke, Martin Weidl, Carsten Welsch, Manfred Wendt, Peerawan Wiwattananon, Joseph Wolfenden, Benjamin Woolley, Samuel Wyler, Guoxing Xia, Vlada Yarygova, Michael Zepp, Giovanni Zevi Della Porta

Publikováno v: Symmetry, Vol 14, Iss 8, p 1680 (2022)

Plasma wakefield acceleration is a promising technology to reduce the size of particle accelerators. The use of high energy protons to drive wakefields in plasma has been demonstrated during Run 1 of the AWAKE programme at CERN. Protons of energy 400

Externí odkaz: https://doaj.org/article/cc047432625844ca9c07340671784147

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