Smoothed particle inference: A kilo-parametric method for X-ray galaxy cluster modeling

Astrophysical Journal

Volumn 655, Issue 1 I, 2007, Pages 109-127

  Peterson, J R ^a   Marshall, P J ^a   Andersson, K ^b,c  

^a STANFORD UNIVERSITY   (United States)

^b STOCKHOLM UNIVERSITY   (Sweden)

^c SLAC NATIONAL ACCELERATOR LABORATORY   (United States)

Author keywords

Methods: data analysis; X rays: galaxies: clusters

Indexed keywords

EID: 33846864415     PISSN: 0004637X     EISSN: 15384357     Source Type: Journal    
DOI: 10.1086/509095     Document Type: Article

References (31)

1. Andersson, K., & Madejski, G. 2004, ApJ, 607, 190
2. Andersson, K., et al. 2007, ApJ, submitted
3. Arabadjis, J. S., Bautz, M. W., & Garmire, G. P. 2002, ApJ, 572, 66
4. Arnaud, M., et al. 2001, A&A, 365, L80
5. Bonamente, M., Joy, M. K., Carlstrom, J. E., Reese, E. D., & LaRoque, S. J. 2004, ApJ, 614, 56
6. Buote, D. A., Lewis, A. D., Brighenti, F., & Mathews, W. G. 2003, ApJ, 594, 741
7. Cowan, G. 1998, Statistical Data Analysis (Oxford: Oxford Univ. Press)
8. Fabian, A. C., Hu, E. M., Cowie, L. L., & Grindlay, J. 1981, ApJ, 248, 47
9. Fabian, A. C., et al. 2003, MNRAS, 344, L43
10. Gilks, W. R., Richardson, S., & Spiegelhalter, D. J. 1996, Markov-Chain Monte Carlo in Practice (Cambridge: Chapman and Hall)
11. Hastings, W. K. 1970, Biometrika, 57, 97
12. Jernigan, J. G., & Vezie, M. 1996, in ASP Conf. Ser. 101, Astronomical Data Analysis Software and Systems V, ed. G. H. Jacoby & J. Barnes (San Francisco: ASP), 167
13. Kaastra, J. S. 1992, An X-Ray Spectral Code for Optically Thin Plasmas (Internal SRON-Leiden Rep., ver. 2.0)
14. Kaastra, J. S., et al. 2004, A&A, 422, 97
15. Lewis, A., & Bridle, S. L. 2002, Phys. Rev. D, 66, 103511
16. Liedahl, D. A., Osterheld, A. L., & Goldstein, W. H. 1995, ApJ, 438, L115
17. Markevitch, M., et al. 2000, ApJ, 541, 542
18. Marshall, P. J., Hobson, M. P., & Slosar, A. 2003, MNRAS, 346, 489
19. McKay, D. J. C. 2003, Information Theory, Inference, and Learning Algorithms (Cambridge: Cambridge Univ. Press)
20. Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. 1953, J. Chem. Phys., 21, 1087
21. Mewe, R., Gronenschild, E. H. B. M., & van den Oord, G. H. J. 1985, A&AS, 62, 197
22. Mewe, R., Lernen, J. R., & van den Oord, G. H. J. 1986, A&AS, 65, 511
23. Morrison, R., & McCammon, D. 1983, ApJ, 270, 119
24. Skilling, J. 1998, in Maximum Entropy and Bayesian Methods, ed. G. J. Erickson et al. (Dordrecht: Kluwer), 1
25. Ó'Ruanaidh, J. J. K., & Fitzgerald, W. J. 1996, Numerical Bayesian Methods Applied to Signal Processing (New York: Springer)
26. Peterson, J. R., Jernigan, J. G., & Kahn, S. M. 2004, ApJ, 615, 545
27. Peterson, J. R., et al. 2001, A&A, 365, L104
28. Roberts, G. O., Gelman, A., & Gilks, W. R. 1997, Annals of Applied Probability, 7, 110
29. Sanders, J. S., Fabian, A. C., Allen, S. W., & Schmidt, R. W. 2004, MNRAS, 349, 952
30. Sanderson, A. J., Finoguenov, A., & Mohr, J. J. 2005, ApJ, 630, 191
31. Tegmark, M., et al. 2004, Phys. Rev. D, 69, 103501