Vertex reconstruction in CMS

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Volumn 549, Issue 1-3, 2005, Pages 188-191

  Chabanat, E ^a   D'Hondt, J ^b   Estre, N ^a   Fruhwirth R ^c   Prokofiev, K ^d   Speer, T ^d   Vanlaer, P ^b   Waltenberger, W ^c  

^a Institut de Physique Nucleaire de Lyon ^*  (France)

^b ULB VUB   (Belgium)

^c INSTITUT FÜR HOCHENERGIEPHYSIK   (Austria)

^d UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

Event reconstruction; Robust statistics; Vertex finding; Vertex fitting

Indexed keywords

ALGORITHMS; COLLIDING BEAM ACCELERATORS; HIGH ENERGY PHYSICS; LEAST SQUARES APPROXIMATIONS; PROTONS; ROBUSTNESS (CONTROL SYSTEMS);

EVENT RECONSTRUCTION; PROTON COLLISIONS; ROBUST STATISTICS; VERTEX FINDING; VERTEX FITTING; VERTEX RECONSTRUCTION;

IMAGE RECONSTRUCTION;

EID: 31644432690     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nima.2005.04.050     Document Type: Conference Paper

References (13)

1. R. Frühwirth Application of Kalman filtering to track and vertex fitting Nucl. Instr. and Meth. A 262 1987 444
2. R. Frühwirth New developments in vertex reconstruction for CMS Nucl. Instr. and Meth. A 502 2003 699
3. R. Frühwirth, et al., New vertex reconstruction algorithms for CMS, Proceedings of the CHEP, ePrint physics/0306012, 2003.
4. K. Van Driessen, P.J. Rousseuw, Computing LTS regression for large data sets, Technical Report, University of Antwerp, 1999.
5. J. D'Hondt, R. Frühwirth, P. Vanlaer, W. Waltenberger, CMS Note, in preparation.
6. A. Gersho, and R.M. Gray Vector Quantization and Signal Compression 1992 Kluwer Boston
7. M.R. Anderbery Cluster Analysis for Applications 1973 Academic Press New York
8. K. Rose Deterministic annealing for clustering, compression, classification, regression and related optimization problems Proc. IEEE 86 11 1998 2210
9. N. Estre, E. Chabanat, P. Vanlaer, Deterministic Annealing for Vertex Finding at CMS, CMS Note, in preparation.
10. T. Boccali, et al., Vertex reconstruction framework and its implementation for CMS, Proceedings of the CHEP 2003, ePrint physics/0306014.
11. S. Kundu Gravitational clustering: a new approach based on the spatial distribution of the points Pattern Recogn. 32 1999 1149
12. M. Blatt, S. Wiseman, and E. Domany Super-paramagnetic clustering of data Phys. Rev. Lett. 76 1996 3251
13. M. Bengtsson, and P. Roivainen Using the Potts glass for solving the clustering problem Int. J. Neural Syst. 6 2 1995 119