γ/hadron separation in very-high-energy γ-ray astronomy using a multivariate analysis method

Astroparticle Physics

Volumn 31, Issue 5, 2009, Pages 383-391

  Ohm, S ^a   van Eldik, C ^a   Egberts, K ^a  

^a MAX PLANCK INSTITUT FÜR KERNPHYSIK   (Germany)

Author keywords

ray astronomy; Cherenkov technique; Classification; Decision tree; Separation

Indexed keywords

CHERENKOV LIGHT; CHERENKOV TECHNIQUE; CLASSIFICATION; CLASSIFICATION METHODS; HIGH ENERGY; HIGH ENERGY STEREOSCOPIC SYSTEMS; IMAGING ATMOSPHERIC CHERENKOV TELESCOPES; MULTIVARIATE ANALYSIS METHODS; STANDARD ANALYSIS; VERY HIGH ENERGIES;

ASTRONOMY; COSMOLOGY; DECISION TREES; MULTIVARIANT ANALYSIS; OPTICAL TELESCOPES; SEPARATION;

ASTRONOMICAL SATELLITES;

EID: 65749103211     PISSN: 09276505     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.astropartphys.2009.04.001     Document Type: Article

References (31)

1. Aharonian F.A., and H.E.S.S. Collaboration. Science 307 (2005) 1938
2. Aharonian F.A., and H.E.S.S. Collaboration. ApJ 636 (2006) 777
3. S. Hoppe, H.E.S.S. Collaboration, in: Proceedings of the 30th International Cosmic Ray Conference, July 3-11, 2007, Merida, Mexico, vol. 2, 2007, pp. 579-582.
4. Hinton J.A., and H.E.S.S. Collaboration. New Astron. Rev. 48 (2004) 331
5. Lorenz E., and MAGIC Collaboration. New Astron. Rev. 48 (2004) 339
6. Weekes T.C., and VERITAS Collaboration. Astropart. Phys. 17 (2002) 221
7. Kubo H., and CANGAROO-III Collaboration. New Astron. Rev. 48 (2004) 323
8. G. Hermann, W. Hofmann, T. Schweizer, M. Teshima, in: CTA Consortium Proceedings of the 30th International Cosmic Ray Conference, July 3-11, 2007, Merida, Mexico, vol. 3, 2007, pp. 1313-1316.
9. S. Fegan, J.H. Buckley, S. Bugaev, S. Funk, A. Konopelko, G. Maier, V.V. Vassiliev, in: Simulation Studies Working Group and AGIS Collaboration, High Energy Astrophysics Division 2008, 10.2806F.
10. A.M. Hillas, in: Proceedings of the 19th International Cosmic Ray Conference, August 11-23, 1985, La Jolla, USA, vol. 3, p. 445.
11. Lemoine-Goumard M., Degrange B., and Tluczykont M. Astropart. Phys. 25 (2006) 195
12. Breiman L. Machine Learning 45 (2001) 1
13. Albert J., and MAGIC Collaboration. Nucl. Instrum. Meth. A588 (2008) 424
14. Egberts K., H.E.S.S. Collaboration, Hinton J.A., and H.E.S.S. Collaboration. Adv. Space Res. 42 (2008) 473 F
15. Bock R.K., et al. Nucl. Instrum. Meth. A516 (2004) 511
16. A. Höcker, et al., TMVA - Toolkit for multivariate data analysis, [physics/0703039v4], 2007.
17. Roe B.P., Yang H.-J., Zhu J., Liu Y., Stancu I., and McGregor G. Nucl. Instrum. Methods Phys. Res., Sect. A 543 (2005) 577
18. Yang H.-J., Roe B.P., and Zhu J. Nucl. Instrum. Methods Phys. Res. Sect A 555 (2005) 370
19. Benitez J. APS Meeting Abstracts F1028B (2005) 2008
20. Bailey S., et al. ApJ 665 (2007) 1246
21. Breiman L., Friedman J., Stone C.J., and Olshen R.A. Classification and Regression Trees (1984), Wadsworth, Stamford
22. Bowser-Chao D., and Dzialo D.L. Phys. Rev. D 47 (1993) 1900
23. Y. Freund, R.E. Schapire, in: L. Saitta (Ed.), Machine Learning: Proceedings of the 13th International Conference, Morgan Kaufmann, San Francisco, 1996, p. 148.
24. Aharonian F.A., Akhperjanian A.G., Bazer-Bachi A.R., et al. Astron. Astrophys. 457 (2006) 899-915
25. Sobczyńska D. J. Phys. G: Nucl. Part Phys. 34 (2007) 2279-2288
26. Maier G., and Knapp J. Astropart. Phys. 28 (2007) 72
27. Aharonian F.A., et al. Phys. Rev. Lett. 97 (2006) 221102
28. Aharonian F.A., and H.E.S.S. Collaboration. Astron. Astrophys. 425 (2004) L13-L17
29. Berge D., Funk S., and Hinton J. Astron. Astrophys. 466 (2007) 1219-1229
30. Li T.-P., and Ma Y.-W. ApJ 272 (1983) 317
31. Bugayov V.V., et al. Astropart. Phys. 17 (2002) 41