Lepton models for TeV emission from SNR RX J1713.7-3946

Astronomy and Astrophysics

Volumn 517, Issue 5, 2010, Pages

  Fan, Z H ^a   Liu, S A ^b   Yuan, Q ^c   Fletcher, L ^b  

^a YUNNAN UNIVERSITY   (China)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

^c INSTITUTE OF HIGH ENERGY PHYSICS   (China)

Author keywords

Acceleration of particles; Plasmas; Shock waves; Turbulence

Indexed keywords

MARKOV PROCESSES; MONTE CARLO METHODS; PARTICLE ACCELERATORS; SHOCK WAVES; TELLURIUM COMPOUNDS; TURBULENCE;

ACCELERATION OF PARTICLES; CURRENT DATA; DIFFUSIVE SHOCK ACCELERATIONS; ENERGETIC PARTICLES; FUTURE OBSERVATIONS; HARD X RAY; MARKOV CHAIN MONTE CARLO METHOD; MODEL PARAMETERS; PARAMETRIC MODELS; RX J1713.7-3946; SHOCK FRONTS; STOCHASTIC ACCELERATION; SUPERNOVA REMNANTS; SYSTEMATIC STUDY;

STOCHASTIC MODELS;

EID: 77955187068     PISSN: 00046361     EISSN: 14320746     Source Type: Journal    
DOI: 10.1051/0004-6361/201015169     Document Type: Article

References (34)

1. Achterberg, A. 1990, A&A, 231, 251
2. Aharonian, F. A., Akhperjanian, A. G., Bazer-Bachi, A. R., et al. 2006, A&A, 449, 223
3. Aharonian, F., Akhperjanian, A. G., Bazer-Bachi, A. R., et al. 2007, A&A, 464, 235
4. Becker, P. A., Le, T., & Demer, C. D. 2006, ApJ, 647, 539
5. B Berezhko, E. G. 1996, Astropart. Phys., 5, 367
6. Berezhko, E. G., & Krymsky, G. F. 1988, Sov. Phys. Usp., 31, 27
7. Blasi, P. 2010, MNRAS, 402, 2807
8. Butt, Y. M. 2009, Nature, 460, 701
9. Bykov, A. M., & Toptygin, I. N. 1993, Phys. Usp., 36, 1020
10. Cassam-Chenaï. G., Decourchelle, A., Ballet, J., et al. 2004, A&A, 427, 199
11. Cowsik, R., & Sarkar, S. 1984, MNRAS, 207, 745
12. Drury, L. 1983, SSRv, 36, 57
13. Drury, L. 1991, MNRAS, 251, 340
14. Ellison, D. C., Patnaude, D. J., Slane, P., & Raymond, J. 2010, ApJ, 712, 287
15. Fan, Z. H., Liu, S. M., & Fryer, C. L. 2010, MNRAS, 406, 1337
16. Forman, M. A., & Drury, L. O. 1983, ICRC, 2, 267
17. Funk, S. 2009, Fermi Symp. Gamerman, D. 1997, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference (London: Chapman and Hall)
18. Katz, B., & Waxman, E. 2008, JCAP, 01, 018
19. Kolmogorov A. 1941, Dokl. Akad. Nauk SSSR, 30, 301
20. Kraichnan 1965, Phys. Fluids, 8, 1385
21. Lewis, A., & Bridle, S. 2002, Phys. Rev. D 66, 103511
22. Liu, S. M., Fan, Z. H., Fryer, C. L., Wang, J. M., & Li, H. 2008, ApJ, 683, L163
23. MacKay, D. 2003 Information Theory, Inference, and Learning Algorithms, (Cambridge University Press)
24. Neal, R. M. 1993 Probabilistic Inference Using Markov Chain Monte Carlo Methods, Technical Report CRG-TR-93-101, Department of Computer Science, University of Toronto
25. Park, B. T., & Petrosian, V. 1995, ApJ, 446, 699
26. Plaga, R. 2008, NewA, 13, 73
27. Porter, T. A., Moskalenko, I. V., & Strong, A. W. 2006, ApJ, 648, L29
28. Ptuskin, V. S. 1988, Soviet Astron. Lett., 14, 255
29. Takahashi, T., Tanaka, T., Uchiyama, Y., et al. 2008, PASJ, 60, 131
30. Tanaka, T., Uchiyama, Y., Aharonian, F. A., et al. 2008, ApJ, 685, 988
31. Toptygin, I. N. 1980, SSRv, 26, 157
32. Uchiyama, Y., Aharonian, F. A., Tanaka, T., et al. 2007, Nature, 449, 576
33. Zirakashvili, V. N., & Aharonian, F. A. 2007, A&A, 465, 695
34. Zirakashvili, V. N., & Aharonian, F. A. 2010, ApJ, 708, 965