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In this article we examine recent developments in the research area concerning the creation of end-to-end models for the complete optimization of measuring instruments.
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GATE - Geant4 Application for Tomographic Emission: a simulation toolkit for PET and SPECT
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Chris Lattner and Vikram Adve · 2004
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ML-assisted versatile approach to Calorimeter R&D
Alexey Boldyrev, Denis Derkach, Fedor Ratnikov, and Andrey Shevelev · 2005
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Geant4 developments and applications
J. Allison et al · 2006
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Valgrind: A Framework for Heavyweight Dynamic Binary Instrumentation
Nicholas Nethercote and Julian Seward · 2007
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Dongbin Xiu · 2007
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The LHCb Detector at the LHC
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M. Tzoufras et al · 2008
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S.E. Vahsen et al · 2008
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A maximum likelihood proton path formalism for application in proton computed tomography: Maximum likelihood path formalism for proton CT
R.W. Schulte, S.N. Penfold, J.T. Tafas, and K.E. Schubert · 2008
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Meng Su, Tracy R. Slatyer, and Douglas P. Finkbeiner · 2010
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Li Deng · 2012
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Longitudinal pulse shaping for the suppression of coherent synchrotron radiation-induced emittance growth
Chad Mitchell, Ji Qiang, and Paul Emma · 2013
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A study of the maximum entropy technique for phase space tomography
K. M. Hock and M. G. Ibison · 2013
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Introducing the CTA concept
B.S. Acharya et al · 2013
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Speeding up HEP experiment software with a library of fast and auto-vectorisable mathematical functions
Danilo Piparo, Vincenzo Innocente, and Thomas Hauth · 2014
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Four-dimensional transverse beam matrix measurement using the multiple-quadrupole scan technique
Eduard Prat and Masamitsu Aiba · 2014
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Diederik P. Kingma and Jimmy Ba · 2014
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Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition
Wulfram Gerstner, Werner M. Kistler, Richard Naud, and Liam Paninski · 2014
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Auto-encoding variational bayes, 2014
Diederik P. Kingma and Max Welling · 2014
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Roel Aaij et al · 2015
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Design and performances of prototype muon detectors of LHAASO-KM2A
Xiong Zuo et al · 2015
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Proton radiography and tomography with application to proton therapy
G. Poludniowski, N.M. Allinson, and P.M. Evans · 2015
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Techniques in iterative proton CT image reconstruction
Scott Penfold and Yair Censor · 2015
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TensorFlow: A system for large-scale machine learning
M. Abadi et al · 2016
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Recent developments in Geant4
J. Allison et al · 2016
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Dougal Maclaurin · 2016
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Eric R. Colby and L. K. Len · 2016
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Readout technologies for directional WIMP Dark Matter detection
J. B. R. Battat et al · 2016
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Jeff Bezanson, Alan Edelman, Stefan Karpinski, and Viral B Shah · 2017
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The Phase-2 Upgrade of the CMS Endcap Calorimeter
CMS Collaboration · 2017
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The PIP-II Conceptual Design Report, Mar 2017
M. Ball et al · 2017
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Snapshot Ensembles: Train 1, get M for free, 2017
Gao Huang et al · 2017
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Observation of the Crab Nebula with the HAWC Gamma-Ray Observatory
A.U. Abeysekara et al · 2017
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Very high-energy electron (VHEE) beams in radiation therapy; Treatment plan comparison between VHEE, VMAT, and PPBS
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks
Shah Rukh Qasim et al · 2022
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Reconstructing particles in jets using set transformer and hypergraph prediction networks, 2022
Francesco Armando Di Bello et al · 2022
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Particle cloud generation with message passing generative adversarial networks, 2022
Raghav Kansal et al · 2022
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Calorimetric Measurement of Multi-TeV Muons via Deep Regression
Jan Kieseler et al · 2022
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Four-dimensional emittance measurements of ultrafast electron diffraction optics corrected up to sextupole order
M. Gordon et al · 2022
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Emil Schüler et al · 2017
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JAX: composable transformations of Python+NumPy programs
J. Bradbury et al · 2018
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R. Aaij et al · 2018
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First Six Dimensional Phase Space Measurement of an Accelerator Beam
Brandon Cathey, Sarah Cousineau, Alexander Aleksandrov, and Alexander Zhukov · 2018
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Single-shot reconstruction of core 4D phase space of high-brightness electron beams using metal grids
D. Marx et al · 2018
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History of dark matter
Gianfranco Bertone and Dan Hooper · 2018
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Migdal effect in dark matter direct detection experiments
M. Ibe, W. Nakano, Y. Shoji, et al · 2018
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4D transverse phase space tomography of an operational hydrogen ion beam via noninvasive 2D measurements using laser wires
Jonathan C. Wong et al · 2022
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Transverse phase space tomography in an accelerator test facility using image compression and machine learning
A. Wolski et al · 2022
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Report of the Topical Group on Particle Dark Matter for Snowmass 2021
Jodi Cooley et al · 2022
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Direct detection of dark matter—APPEC committee report ∗ \ast
Julien Billard et al · 2022
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Snowmass2021 Cosmic Frontier Dark Matter Direct Detection to the Neutrino Fog
D. S. Akerib et al · 2022
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R. Essig et al · 2022
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Three-year annual modulation search with COSINE-100
The COSINE-100 Collaboration · 2022
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C. A. J. O’Hare et al · 2022
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Fast and flexible analysis of direct dark matter search data with machine learning
The LUX Collaboration · 2022
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Performance of a SABRE detector module without an external veto
F. Calaprice et al · 2022
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Improving ANAIS-112 sensitivity to DAMA/LIBRA signal with machine learning techniques
I. Coarasa et al · 2022
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B. S. González et al · 2022
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R. Conceição, B. S. González, M. Pimenta, and B. Tomé · 2022
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The Mercedes water Cherenkov detector
Pedro Assis et al · 2022
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Review of Particle Physics
R. L. Workman et al · 2022
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2022 roadmap on neuromorphic computing and engineering
Dennis V Christensen et al · 2022
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Brain-inspired computing needs a master plan
Adnan Mehonic and Anthony J Kenyon · 2022
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Self-organization of an inhomogeneous memristive hardware for sequence learning
Melika Payvand et al · 2022
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Dendrocentric learning for synthetic intelligence
Kwabena Boahen · 2022
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A long short-term memory for AI applications in spike-based neuromorphic hardware
Arjun Rao, Philipp Plank, Andreas Wild, and Wolfgang Maass · 2022
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Embodied neuromorphic intelligence
Chiara Bartolozzi, Giacomo Indiveri, and Elisa Donati · 2022
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A review of non-cognitive applications for neuromorphic computing
James Aimone et al · 2022
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Opportunities for neuromorphic computing algorithms and applications
Catherine D. Schuman et al · 2022
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Fast and accurate dose predictions for novel radiotherapy treatments in heterogeneous phantoms using conditional 3d-unet generative adversarial networks
Florian Mentzel et al · 2022
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Toward the end-to-end optimization of particle physics instruments with differentiable programming
Tommaso, Andrea Giammanco, Pietro Vischia (eds), et al · 2023
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Exploration of Differentiability in a Proton Computed Tomography Simulation Framework
Max Aehle et al · 2023
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Giles C. Strong et al · 2023
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Everything is connected: Graph neural networks
Petar Veličković · 2023
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GNN-based end-to-end reconstruction in the CMS phase 2 high-granularity calorimeter
S. Bhattacharya et al · 2023
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EPiC-GAN: Equivariant point cloud generation for particle jets, 2023
Erik Buhmann, Gregor Kasieczka, and Jesse Thaler · 2023
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Pc-jedi: Diffusion for particle cloud generation in high energy physics, 2023
Matthew Leigh et al · 2023
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Caloclouds: Fast geometry-independent highly-granular calorimeter simulation, 2023
Erik Buhmann et al · 2023
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Phase Space Reconstruction from Accelerator Beam Measurements Using Neural Networks and Differentiable Simulations
R. Roussel et al · 2023
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Towards fully differentiable accelerator modeling
J. Gonzalez-Aguilera et al · 2023
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Modelling the neurons of the electrosensory lobe in Gymnotus Omarorum with differentiable programming, February 2023
Pietro Vischia and Angel A. Caputi · 2023
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SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks
Rui-Jie Zhu, Qihang Zhao, and Jason K. Eshraghian · 2023
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Training spiking neural networks using lessons from deep learning, 2023
Jason K. Eshraghian et al · 2023
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Exodus: Stable and efficient training of spiking neural networks
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Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics
Dominique J. Kösters et al · 2023
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Multi-messenger Observations of a Binary Neutron Star Merger
B. P. Abbott and et al · 2041
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Gravitational Waves and Gamma-Rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A
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