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- SLAC National Accelerator LaboratoryUS163 papers
- Stanford UniversityUS95 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS65 papers
- Meta (United States)US41 papers
- University of California, BerkeleyUS23 papers
- California Institute of TechnologyUS21 papers
- Fermi National Accelerator LaboratoryUS21 papers
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- University of Maryland, College ParkUS18 papers
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28 papers · 1 filter
Resolving Multiphoton Processes with High-Order Anisotropy Ultrafast X-ray Scattering
Adi Natan, Aviad Schori, Grace Owolabi +3
We present first results on ultrafast X-ray scattering of strongly driven molecular Iodine and analysis of high-order anisotropic components of the scattering signal, up to four-ph…
Nonthermal electron and ion acceleration by magnetic reconnection in large laser-driven plasmas
Samuel Totorica, Masahiro Hoshino, Tom Abel +1
Magnetic reconnection is a fundamental plasma process that is thought to play a key role in the production of nonthermal particles associated with explosive phenomena in space phys…
Cosmic antihelium-3 nuclei sensitivity of the GAPS experiment
N. Saffold, T. Aramaki, R. Bird +52
The General Antiparticle Spectrometer (GAPS) is an Antarctic balloon experiment designed for low-energy (0.10.3 GeV/) cosmic antinuclei as signatures of dark matter annihilat…
NuSTAR Observations of Abell 2163: Constraints on Non-thermal Emission
Randall Rojas Bolivar, Daniel Wik, Simona Giacintucci +4
Since the first non-thermal reports of inverse Compton (IC) emission from the intracluster medium (ICM) of galaxy clusters at hard X-ray energies, we have yet to unambiguously conf…
The X-ray fundamental plane of the Platinum Sample, the Kilonovae and the SNe Ib/c associated with GRBs
Maria Giovanna Dainotti, Aleksander Lenart, Giuseppe Sarracino +3
A large fraction of Gamma-Ray Bursts (GRBs) lightcurves (LCs) shows X-ray plateaus. We analyze all GRBs with known redshifts presenting plateaus observed by \emph{The Neil Gehrels…
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale
Bilge Acun, Matthew Murphy, Xiaodong Wang +3
The use of GPUs has proliferated for machine learning workflows and is now considered mainstream for many deep learning models. Meanwhile, when training state-of-the-art personal r…