bayes-filter-pervasive-03-fox.pdf
Bayesian Filtering for Location Estimation. 
Dieter Fox, Jeffrey Hightower, Lin Liao, Dirk Schulz, and Gaetano Borriello
IEEE PERVASIVE computing, 1536-1268, 2003

Particle tracking; badge following; predictive filtering.


borozdin-2004-information.pdf
Information Extraction from Muon Radiography Data.
Konstantin BOROZDIN, Thomas ASAKI, Rick CHARTRAND,
Nicolas HENGARTNER, Gary HOGAN, Christopher
MORRIS, William PRIEDHORSKY, Richard SCHIRATO,
Larry SCHULTZ, Matthew SOTTILE, Kevin VIXIE, Brendt'
WOHLBERG, Gary BLANPIED
(Submitted to) International Conference on Cybernetics and Informatio n
Technologies, Systems and Applications : CITSA 2004
Los Alamos National Lab

Trade off in processing versus accuracy; use of svm.


borozdin-2005-cosmic-ray.pdf
COSMIC-RAY MUON TOMOGRAPHY AND ITS APPLICATION TO THE DETECTION OF HIGH-Z MATERIALS.
Konstantin Borozdin, Thomas Asaki, Rick Chartrand, Mark Galassi, Andrew Greene, Nicolas Hengartner, Gary Hogan, Alexei Klimenko, Christopher Morris, William Priedhorsky, Alexander Saunders, Richard Schirato, Larry Schultz, Matthew Sottile and
Gary Blanpied.
Proceedings of the 46th Annual Meeting at Los Alamos National Lab, 2005

Basics.


friedman_phystat.pdf
SEPARATING SIGNAL FROM BACKGROUND USING ENSEMBLES OF RULES.
JEROME H. FRIEDMAN.
January 27, 2006 18:46 WSPC, Proceedings

Ensemble of rules.


VLDB_OBK_paper.pdf
OBK – An Online High Energy Physics’ Meta-Data Repository
Alexandrov, et al.
Proceedings of the 28th VLDB Conference, Hong Kong, China, 2002

Meta-data Management / Special Purpose Database Technologies -
Object-Oriented Database Systems


ft_gateway-antimater-kdd04.pdf
Anti-matter detection: Particle Physics Model for KDD Cup 2004
David S. Vogel, Eric Gottschalk, and Morgan C. Wang
SIGKDD Explorations. Volume 6,Issue 2 - Page 111

Competition in detecting matter/antimatter from provided data.


MLinScience-Sci01.pdf
Machine Learning for Science: State of the Art and Future Prospects.
Eric Mjolsness* and Dennis DeCoste
SCIENCE VOL 293 14 SEPTEMBER 2001, page 2051


PartPhysDBissues.pdf
Data Management Requirements for High Energy Physics in the Year 2000.
J. D. Shiers
(CERN)
Twelfth IEEE Symposium on Mass Storage Systems, 1993

Storage and language issues, current state, recent trends, future.


SignalProcInHEP.pdf
OPPORTUNITIES FOR STATISTICAL SIGNAL PROCESSING IN HIGH ENERGY PHYSICS
Bruce Denby
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on, July 17-20 2005

Three levels of processing, use of neural network, future possibilities.


talks_wsip05_Hengartner.pdf
Muon Tomography: Passive detection and imaging of high-Z material using cosmic ray muons
Nick Hengartner

Los Alamos presentation


TrackingInCSCdetectr-IEEE.pdf
The use of cluster quality for track fitting in the CSC detector
Erez Etzion, David Primor, Giora Mikenberg, Nir Amram and Hagit Messer
Proceedings of 2006 IEEE NSS, San Diego, California, USA, November 2006

Track fitting with Cathode Strip Chamber (CSC)


UUNF05-08.pdf
Tomography of canisters for spent nuclear fuel using cosmic-ray muons
Joel Gustafsson
Diploma thesis
UU-NF 05#08
(October 2005)
Uppsala University Neutron Physics Report

Nuclear fuel dumping success detection by muon tomography, simulation using GEANT


vilalta.pdf
Automatic Signal Enhancement in Particle Physics
Using Multivariate Classi¯cation and Physical Constraints.
R. Vilalta, G. Mutchlery, S. Taylorz, and B. Knutesonx
Ninth Workshop on Mining Scientific and Engineering Datasets (MSD06), 2006.

in conjunction with the Sixth SIAM International Conference on Data Mining, Bethesda, Maryland.

Comparing different techniques in identifying different particles from a real experimental data.

gss2005_5670.pdf
Detecting Nuclear Materials from Cosmic-Ray Muon Scattering Data
Rick Chartrand and others
Presentation at the Graduate Summer School: Intelligent Extraction of Information from Graphs and High Dimensional Data, July 11 - 29, Institute for Pure and Applied Mathematics, UCLA, 2005
http://www.ipam.ucla.edu/schedule.aspx?pc=gss2005

muon4.pdf
Background Radiography for Border Inspections
Rick Chartrand, and TomAsaki
(for the Los Alamos National Laboratory Background Radiography Team)

Los Alamos Presentation, includes SVM training