Peter Norgaard
5 Papers
31 Citations
Peter Norgaard is an academic researcher from Google. The author has contributed to research in topics: Hybrid Monte Carlo & Markov chain Monte Carlo. The author has an hindex of 2, co-authored 5 publications.
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Papers
Overview of C-2W: High-temperature, steady-state beam-driven field-reversed configuration plasmas
Hiroshi Gota,M. Binderbauer,Toshiki Tajima,Artem Smirnov,Sergei Putvinski,M. Tuszewski,Sean Dettrick,Deepak Gupta,Sergey Korepanov,Richard Magee,J. Park,Thomas Roche,J. Romero,Erik Trask,Xiaokang Yang,Peter Yushmanov,K. Zhai,T. DeHaas,M. E. Griswold,Saurabh Gupta,S. Abramov,A. Alexander,I. Allfrey,R. Andow,B. Barnett,M. Beall,N. Bolte,E. Bomgardner,A. Bondarenko,F. Ceccherini,L. Chao,Ryan Clary,A. Cooper,C. Deng,A. Dunaevsky,P. Feng,C. Finucane,D. Fluegge,Laura Galeotti,S. Galkin,K. Galvin,Erik Granstedt,Kevin Hubbard,Ivan Isakov,Manjit Kaur,J. S. Kinley,A. Korepanov,S. Krause,Calvin Lau,A. Lednev,H. Leinweber,J. Leuenberger,D. Lieurance,D. Madura,J. Margo,D. Marshall,R. Marshall,T. Matsumoto,V. Matvienko,M. Meekins,W. Melian,R. Mendoza,R. Michel,Y. Mok,M. Morehouse,R. Morris,Lucas Morton,M. Nations,Ales Necas,Scott Nicks,G. Nwoke,Marco Onofri,A. Ottaviano,R. Page,Eli Parke,K. Phung,Gabriel Player,I. Sato,Tania Schindler,J. H. Schroeder,D. Sheftman,A. Sibley,A. Siddiq,M. Signorelli,M. Slepchenkov,Roger Smith,G. Snitchler,Vladimir Sokolov,Y. Song,L. C. Steinhauer,V. Stylianou,J. Sweeney,J.B. Titus,A. Tkachev,M. Tobin,J. Ufnal,T. Valentine,A. Van Drie,J. Ward,C. Weixel,C. White,M. Wollenberg,S. Ziaei,L. W. Schmitz,Zhihong Lin,A. A. Ivanov,Tomohiko Asai,E. A. Baltz,M. Dikovsky,W. D. Heavlin,Scott D. Geraedts,Ian Langmore,Peter Norgaard,R. Von Behren,T. Madams,A. Kast,John Platt +116 more
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A Condition Number for Hamiltonian Monte Carlo.
TL;DR: This paper restricts attention to multivariate Gaussian targets, and obtains a condition number corresponding to sampling efficiency, which quantifies the number of leapfrog steps needed to efficiently sample.
Multi-instrument Bayesian reconstruction of plasma shape evolution in the C-2W experiment
M. Dikovsky,E. A. Baltz,R. Von Behren,Scott D. Geraedts,A. Kast,Ian Langmore,T. Madams,Peter Norgaard,John Platt,J. Romero,Thomas Roche,Roger Smith,Erik Trask,Sean Dettrick,Hiroshi Gota,J.B. Titus,Richard Magee +16 more
TL;DR: Gota et al. as discussed by the authors determined the time-dependent geometry, including high-frequency oscillations, of the plasma density in TAE's C-2W experiment as a joint Bayesian reconstruction from a 14-chord FIR interferometer in the midplane, 32 Mirnov probes at the periphery, and 8 shine-through detectors at the targets of the neutral beams.
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Hamiltonian Monte Carlo in Inverse Problems; Ill-Conditioning and Multi-Modality.
TL;DR: In this paper, the authors analyzed the two major difficulties encountered using HMC for inverse problems: poor conditioning and multi-modality, and proposed novel results on preconditioning and replica exchange Monte Carlo parameter selection for spectroscopy.
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