SVD approach to data unfolding

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

Volumn 372, Issue 3, 1996, Pages 469-481

  Höcker, Andreas ^a   Kartvelishvili, Vakhtang ^b,c  

^a UNIVERSITÉ PARIS SUD   (France)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

^c TBILISI STATE UNIVERSITY   (Georgia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; MATRIX ALGEBRA;

DATA UNFOLDING; SINGULAR VALUE DECOMPOSITION (SVD) APPROACH;

HIGH ENERGY PHYSICS;

EID: 0030128473     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/0168-9002(95)01478-0     Document Type: Article

References (7)

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3. G. D'Agostini, A multidimensional Unfolding Method Based on Bayes' Theorem, DESY 94-099.
4. M. Schmelling, Nucl. Instr. and Methods A 340 (1994) 400.
5. G.E. Forsythe, M.A. Malcolm and C.B. Moler, Computer Methods for Mathematical Computations (Prentice-Hall, Englewood Cliffs, 1977).
6. C.E. Lawson and R.J. Hanson, Solving Least Square Problems (Prentice-Hall, Englewood Cliffs, 1974).
7. G. Zech, Comparing Statistical Data to Monte Carlo Simulation -Parameter Fitting and Unfolding, DESY 95-113 (1995).