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45th Winter School in Theoretical Physics 'Neutrino Interactions: from Theory to Monte Carlo Simulations', Ladek-Zdroj, Poland, February 2-11, 2009.
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MUPAGE: a fast atmospheric MUon GEnerator for neutrino telescopes based on PArametric formulas,
G. Carminati et al.,
arXiv:0907.5563,
31st ICRC, Lodz, Poland, 2009.
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Data Preservation and Long Term Analysis in High Energy Physics,
David M. South,
arXiv:0907.1586,
44th Rencontres de Moriond on QCD and High Energy Interactions, La Thuile, Valle d'Aosta, Italy, 14-21 Mar 2009.
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RooStatsCms: a tool for analyses modelling, combination and statistical studies,
D. Piparo, Dr. Gregory Schott, Prof. G. Quast,
197
arXiv:0812.2217.
11th Topical Seminar on Innovative Particle and Radiation Detectors.
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Herwig++,
Martyn Gigg, Peter Richardson,
arXiv:0706.2921,
42nd Rencontres de Moriond on QCD and Hadronic Interactions, La Thuile, Italy, 17-24 Mar 2007.
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GiNaC - Symbolic computation with C++,
Jens Vollinga,
A559
arXiv:hep-ph/0510057.
X International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2005, DESY-Zeuthen, Germany, 22-27 May 2005.
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Precision Higgs Masses with FeynHiggs 2.2,
T. Hahn, S. Heinemeyer, W. Hollik, G. Weiglein,
C050318
arXiv:hep-ph/0507009.
2005 International Linear Collider Workshop (LCWS 2005), Stanford, California, 18-22 Mar 2005.
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New Developments in FormCalc 4.1,
T. Hahn,
C050318
arXiv:hep-ph/0506201.
2005 International Linear Collider Workshop (LCWS 2005), Stanford, California, 18-22 Mar 2005.
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Virtual Astronomy, Information Technology, and the New Scientific Methodology,
S. G. Djorgovski,
arXiv:astro-ph/0504651.
IEEE Proc. of CAMP05, "Computer Architectures for Machine Perception".
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The CEDAR Project,
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arXiv:hep-ph/0412139,
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TAUOLA as tau Monte Carlo for future applications,
Z. Was, P. Golonka,
144
arXiv:hep-ph/0411377.
International workshop on Tau Lepton Physics, TAU04 Nara, Japan September 14-17,2004.
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Multi-Terabyte EIDE Disk Arrays running Linux RAID5,
D. A. Sanders et al.,
arXiv:physics/0411188,
2004 Computing in High Energy and Nuclear Physics (CHEP04), Interlaken, Switzerland, 27th September - 1st October 2004.
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The Inconstancy of the Fundamental Physical Constants: Computational Status,
V.V. Ezhela, Yu.V. Kuyanov, V.N. Larin, A.S. Siver,
arXiv:physics/0409117,
'Conference on Fundamental Symmetries and Fundamental Constants' (Trieste, 2004).
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Automated calculations for massive fermion production with aITALC,
A. Lorca, T. Riemann,
135
arXiv:hep-ph/0407149.
'Loops and Legs in Quantum Field Theory 2004', Zinnowitz, Usedom Island, Germany, April 2004.
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Cosmological Markov Chain Monte Carlo simulation with Cmbeasy,
Christian M. Mueller,
arXiv:astro-ph/0406206,
XXXIX Rencontres de Moriond 'Exploring the Universe'.
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Formulae for a numerical computation of one-loop tensor integrals,
R. Pittau,
arXiv:hep-ph/0406105,
LCWS2004, Paris, France, April 2004.
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Les Houches Guidebook to Monte Carlo Generators for Hadron Collider Physics,
H. Baer et al.,
arXiv:hep-ph/0403045,
Workshop 'Physics at TeV Colliders', Les Houches, France, May 2003.
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The BABAYAGA event generator,
C.M. Carloni Calame, G. Montagna, O. Nicrosini, F. Piccinini,
131
arXiv:hep-ph/0312014.
'SIGHAD03 - Worskhop on Hadronic Cross Section at Low Energy', Pisa, Italy, 8 -10 October, 2003.
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Event Generator for Particle Production in High-Energy Collisions,
A. Schaelicke et al.,
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arXiv:hep-ph/0311270.
25th Course of the International School on Nuclear Physics.
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The physics models of FLUKA: status and recent development,
A. Fasso' et al.,
C0303241
arXiv:hep-ph/0306267.
2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003.
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The FLUKA code: present applications and future developments,
A. Fasso' et al.,
C0303241
arXiv:physics/0306162.
2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003.
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The BTeV Software Tutorial Suite,
Robert K. Kutschke
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C0303241
arXiv:physics/0306107.
CHEP03.
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Physics Analysis Expert PAX: First Applications,
M. Erdmann et al.,
C0303241
arXiv:physics/0306085.
2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003.
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A Review Of Two Novel Numerical Methods in QFT,
R. Easther, D. D. Ferrante, G. S. Guralnik, D. Petrov,
arXiv:hep-lat/0306038,
Seventh Workshop on Quantum Chromodynamics, 6-10 January 2003.
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DIAL: Distributed Interactive Analysis of Large Datasets,
D. L. Adams,
C0303241
arXiv:hep-ph/0305093.
CHEP03.
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The Event as an Object-Relational Database: Avoiding the Dependency Nightmare,
C. D. Jones,
C0303241
arXiv:hep-ex/0305091.
2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003.
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Reconstruction and Analysis on Demand: A Success Story,
C. D. Jones,
C0303241
arXiv:hep-ex/0305090.
2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003.
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ATLAS Commander: an ATLAS production tool,
V. Berten, L. Goossens, C. L. Tan,
C0303241
arXiv:hep-ex/0305089.
2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003.
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NICOS System of Nightly Builds for Distributed Development,
A. Undrus,
C0303241
arXiv:hep-ex/0305087.
2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003.
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A Web Based Document Database,
E. W. Vaandering,
C0303241
arXiv:hep-ex/0305086.
2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003.
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AMANDA - first running experiment to use GRID in production,
T. Harenberg, K.-H. Becker, W. Rhode, C. Schmitt,
C0303241
arXiv:physics/0305081.
2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003.
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Quaero: Motivation, Summary, Status,
Bruce Knuteson,
C0303241
arXiv:hep-ex/0305065.
CHEP 2003, UC San Diego.
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Predictive Mining of Time Series Data in Astronomy,
E. Perlman, A. Java,
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arXiv:astro-ph/0212413.
Astronomy Data Analysis and Software Systems meeting, Baltimore 2002.
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Automated Calculation and Simulation Systems,
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A502
arXiv:hep-ph/0211058.
ACAT 2002.
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Status report on TAUOLA, its environment, and its applications,
Z. Was,
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arXiv:hep-ph/0210386.
Seventh International Workshop on Tau Lepton Physics (TAU02), Santa Cruz, Ca, USA, Sept 2002.
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Foam: A General purpose Monte Carlo Cellular Algorithm,
S. Jadach
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G29
arXiv:physics/0210061.
ICHEP 2002.
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XML-Based Formulation of Field Theoretical Models. A Proposal for a Future Standard and Data Base for Model Storage, Exchange and Cross-checking of Results,
A.Rodionov A.Demichev, A.Kryukov,
arXiv:hep-ph/0203102,
International Workshop 'Automatic Calculation for Future Colliders' (CPP2001), November 28-30, 2001, Tokyo, Japan.
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Big Science with a Small Budget: Non-Embarrassingly Parallel Applications in a Non-Dedicated Network of Workstations,
Angel de Vicente, Nayra Rodriguez,
arXiv:cs.DC/0510094,
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Unbiased Elimination of Negative Weights in Monte Carlo Samples,
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Nested sampling with any prior you like,
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Nested Sampling Methods,
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Exhaustive Neural Importance Sampling applied to Monte Carlo event generation,
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Exploring Theory Space with Monte Carlo Reweighting,
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MC-TESTER v. 1.23: a universal tool for comparisons of Monte Carlo predictions,
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MINT: a Computer Program for Adaptive Monte Carlo Integration and Generation of Unweighted Distributions,
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Multimodal nested sampling: an efficient and robust alternative to MCMC methods for astronomical data analysis,
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Error in Monte Carlo, quasi-error in Quasi-Monte Carlo,
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Using Machine Learning to Separate Cherenkov and Scintillation Light in Hybrid Neutrino Detector,
Ayse Bat,
arXiv:2403.05184,
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Deep Learning Based Event Reconstruction for Cyclotron Radiation Emission Spectroscopy,
A. Ashtari Esfahani et al.,
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Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions,
Saul Alonso-Monsalve, Davide Sgalaberna, Xingyu Zhao, Adrien Molines, Clark McGrew, Andre Rubbia,
arXiv:2310.19695,
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Detecting Fast Neutrino Flavor Conversions with Machine Learning,
Sajad Abbar, Hiroki Nagakura,
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Unsupervised Domain Transfer for Science: Exploring Deep Learning Methods for Translation between LArTPC Detector Simulations with Differing Response Models,
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The DL Advocate: Playing the devil's advocate with hidden systematic uncertainties,
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Probing Heavy Neutrinos at the LHC from Fat-jet using Machine Learning,
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Trigger-Level Event Reconstruction for Neutrino Telescopes Using Sparse Submanifold Convolutional Neural Networks,
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Applications of Machine Learning to Detecting Fast Neutrino Flavor Instabilities in Core-Collapse Supernova and Neutron Star Merger Models,
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Generative Invertible Quantum Neural Networks,
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Restoring the saturation response of a PMT using pulse-shape and artificial-neural-networks,
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Discovering Sparse Representations of Lie Groups with Machine Learning,
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Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing,
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Deep learning applications for quality control in particle detector construction,
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A simple guide from Machine Learning outputs to statistical criteria,
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Model selection and signal extraction using Gaussian Process regression,
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Maximum likelihood reconstruction of water Cherenkov events with deep generative neural networks,
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Improving Parametric Neural Networks for High-Energy Physics (and Beyond),
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Feed-forward neural network unfolding,
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Non-Parametric Data-Driven Background Modelling using Conditional Probabilities,
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Studying Hadronization by Machine Learning Techniques,
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Presenting Unbinned Differential Cross Section Results,
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Uncertainty Aware Learning for High Energy Physics,
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Deep Neural Network as an alternative to Boosted Decision Trees for PID,
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Quasi Anomalous Knowledge: Searching for new physics with embedded knowledge,
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GPU-accelerated machine learning inference as a service for computing in neutrino experiments,
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MLaaS4HEP: Machine Learning as a Service for HEP,
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[Drielsma:2021jdv] - [8-2]
-
The use of Convolutional Neural Networks for signal-background classification in Particle Physics experiments,
Venkitesh Ayyar, Wahid Bhimji, Lisa Gerhardt, Sally Robertson, Zahra Ronaghi,
245
arXiv:2002.05761.
CHEP 2019, Nov 4-8, Adelaide, Australia.
[Ayyar:2020ijy] - [8-3]
-
Approximating the solution to wave propagation using deep neural networks,
Wilhelm E. Sorteberg, Stef Garasto, Alison S. Pouplin, Chris D. Cantwell, Anil A. Bharath,
arXiv:1812.01609,
NeurIPS 2018 Workshop 'Modeling the Physical World: Perception, Learning, and Control'.
[1812.01609] - [8-4]
-
Parametrizing Compton form factors with neural networks,
Kresimir Kumericki, Dieter Mueller, Andreas Schafer,
222-224
arXiv:1112.1958.
Ringberg HERA Workshop.
[Kumericki:2011aa] - [8-5]
-
Update on Neural Network Parton Distributions: NNPDF1.1,
Juan Rojo et al.
(NNPDF),
arXiv:0811.2288,
38th International Symposium on Multiparticle Dynamics ISMD08, Hamburg, Germany, 15-20 Sep 2008.
[Rojo:2008ke] - [8-6]
-
Neural network determination of the non-singlet quark distribution,
Andrea Piccione, Luigi Del Debbio, Stefano Forte, Jose I. Latorre, Joan Rojo
(NNPDF),
arXiv:hep-ph/0607199,
Tsukuba 2006, Deep inelastic scattering.
[Piccione:2006bd] - [8-7]
-
Neural network approach to parton distributions fitting,
Andrea Piccione, Luigi Del Debbio, Stefano Forte, Jose I. Latorre, Joan Rojo
(NNPDF),
A559
arXiv:hep-ph/0509067.
10th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 05), Zeuthen, Germany, 22-27 May 2005.
[Piccione:2005fe] - [8-8]
-
The neural network approach to parton distributions,
L. Del Debbio, S. Forte, J. I. Latorre, Andrea Piccione, Joan Rojo
(NNPDF),
arXiv:hep-ph/0509059,
HERA and the LHC: A Workshop on the Implications of HERA and LHC Physics (Startup Meeting, CERN, 26-27 March 2004; Midterm Meeting, CERN, 11-13 October 2004), Hamburg, Germany, 21-24 Mar 2005.
[DelDebbio:2005ew] - [8-9]
-
The neural network approach to parton fitting,
Joan Rojo, Luigi Del Debbio, Stefano Forte, Jose I. Latorre, Andrea Piccione
(NNPDF),
792
arXiv:hep-ph/0505044.
13th International Workshop on Deep Inelastic Scattering (DIS 05), Madison, Wisconsin, 27 Apr - 1 May 2005.
[Rojo:2005fi] - [8-10]
-
Automatic Classification using Self-Organising Neural Networks in Astrophysical Experiments,
P. Boinee, A. De Angelis, E. Milotti,
arXiv:cs.NE/0307031,
Science with the New Generation of High Energy Gamma-ray Experiments, Perugia, Italy, May 2003.
[Boinee:2003ve]
- [9-1]
-
A Relational Model of Data for Large Shared Data Banks,
E. F. Codd,
13
[Codd-CommunACM-13-377-1970]
- [10-1]
-
Data Preservation in High Energy Physics,
David M. South
(ICFA DPHEP Study Group),
331
arXiv:1101.3186.
18th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2010).
[South:2011zp]
- [11-1]
-
Compilability of Abduction,
Paolo Liberatore, Marco Schaerf,
arXiv:cs.AI/0210007,
[cs-AI/0210007] - [11-2]
-
Abduction with Penalization in Logic Programming,
Giovambattista Ianni, Nicola Leone, Simona Perri, Francesco Scarcello,
arXiv:cs.LO/0111010,
[cs-LO/0111010]
- [12-1]
-
Visualisation of Cherenkov Radiation and the Fields of a Moving Charge,
Robert N. C. Pfeifer, Timo A. Nieminen,
arXiv:physics/0602061,
[physics/0602061]
