3-dimensional multivertex reconstruction from 2-dimensional tracks observations using likelihood inference
Applications of Mathematics, Tome 37 (1992) no. 6, pp. 437-452

Voir la notice de l'article provenant de la source Czech Digital Mathematics Library

MR Zbl
Let $v_1, v_2,..., v_k$ be vertices in the $XYZ$-space, each vertex producing several tracks (straight lines) emanating from it within a narrow cone with a small angle about a fixed direction ($Z$-axis). Each track is detected (by drift chambers or other detectors) by its projections on $XY$ and $YZ$ views independently with small errors. An automated method is suggested for the reconstruction of vertices from noisy observations of the tracks projections. The procedure is based on the likelihood inference for mixtures. An illustrative example is considered.
Let $v_1, v_2,..., v_k$ be vertices in the $XYZ$-space, each vertex producing several tracks (straight lines) emanating from it within a narrow cone with a small angle about a fixed direction ($Z$-axis). Each track is detected (by drift chambers or other detectors) by its projections on $XY$ and $YZ$ views independently with small errors. An automated method is suggested for the reconstruction of vertices from noisy observations of the tracks projections. The procedure is based on the likelihood inference for mixtures. An illustrative example is considered.
DOI : 10.21136/AM.1992.104522
Classification : 62F10, 62J02, 62K05, 62K99, 62P99, 65C99
Keywords: 3-dimensional multivertex reconstruction; 2-dimensional tracks observations; projections; reconstruction of vertices; noisy observations; likelihood inference for mixtures
Chernov, N. I.; Ososkov, G. A.; Pronzato, L. 3-dimensional multivertex reconstruction from 2-dimensional tracks observations using likelihood inference. Applications of Mathematics, Tome 37 (1992) no. 6, pp. 437-452. doi: 10.21136/AM.1992.104522
@article{10_21136_AM_1992_104522,
     author = {Chernov, N. I. and Ososkov, G. A. and Pronzato, L.},
     title = {3-dimensional multivertex reconstruction from 2-dimensional tracks observations using likelihood inference},
     journal = {Applications of Mathematics},
     pages = {437--452},
     year = {1992},
     volume = {37},
     number = {6},
     doi = {10.21136/AM.1992.104522},
     mrnumber = {1185799},
     zbl = {0764.62065},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.21136/AM.1992.104522/}
}
TY  - JOUR
AU  - Chernov, N. I.
AU  - Ososkov, G. A.
AU  - Pronzato, L.
TI  - 3-dimensional multivertex reconstruction from 2-dimensional tracks observations using likelihood inference
JO  - Applications of Mathematics
PY  - 1992
SP  - 437
EP  - 452
VL  - 37
IS  - 6
UR  - http://geodesic.mathdoc.fr/articles/10.21136/AM.1992.104522/
DO  - 10.21136/AM.1992.104522
LA  - en
ID  - 10_21136_AM_1992_104522
ER  - 
%0 Journal Article
%A Chernov, N. I.
%A Ososkov, G. A.
%A Pronzato, L.
%T 3-dimensional multivertex reconstruction from 2-dimensional tracks observations using likelihood inference
%J Applications of Mathematics
%D 1992
%P 437-452
%V 37
%N 6
%U http://geodesic.mathdoc.fr/articles/10.21136/AM.1992.104522/
%R 10.21136/AM.1992.104522
%G en
%F 10_21136_AM_1992_104522

[1] Böhning D: Likelihood inference for mixtures: geometrical and other constructions of monotone step-length algorithms. Biometrika 76 no. 2 (1989), 375-383. | DOI | MR

[2] Fedorov V. V.: Theory of Optimal Experiments. Academic Press, New York, 1972. | MR

[3] Lindsay B. G.: The geometry of mixture likelihoods: a general theory. Annals of Stat. 11 no. 1 (1983), 86-94. | DOI | MR | Zbl

[4] Mallet A.: A maximum likelihood estimation method for random coefficient regression models. Biometrika 73 no. 3 (1986), 645-656. | DOI | MR | Zbl

[5] Pázman A.: Foundations of Optimum Experimental Design. co-editor VEDA, Bratislava, Reidel, Dordrecht, 1986. | MR

[6] Silvey S. D.: Optimal Design. Chapman & Hall, London, 1980. | MR | Zbl

[7] Torsney B.: A moment inequality and monotonicity of an algorithm. Semi-Infinite Programming and Applications (A. V. Fiacco and K. O. Kortanek, eds.), Springer-Verlag, Berlin, 1983, pp. 249-260. | MR | Zbl

[8] Torsney B.: Computing optimizing distributions with applications in design, estimation and image processing. Optimal Design and Analysis of Experiments (Y. Dodge, V. V. Fedorov and H. P. Wynn, eds.), North-Holland, Amsterdam, 1988, pp. 361-370.

[9] Wynn H. P.: The sequential generation of D-optimum experimental designs. Annals of Math. Stat. 41 (1970), 1655-1664. | DOI | MR | Zbl

Cité par Sources :