Image analysis for cosmology: Results from the GREAT10 Star Challenge

Astrophysical Journal, Supplement Series

Volumn 205, Issue 2, 2013, Pages

  Kitching, T D ^a   Rowe, B ^b,c   Gill, M ^d,e,f   Heymans, C ^a   Massey, R ^g   Witherick, D ^b   Courbin, F ^h   Georgatzis, K ^i,j   Gentile, M ^h   Gruen, D ^k,l   Kilbinger, M ^l,m,n   Li, G L ^o,p   Mariglis, A P ^j   Meylan, G ^h   Storkey, A ^j   Xin, B ^p  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^d OHIO STATE UNIVERSITY   (United States)

^e STANFORD UNIVERSITY   (United States)

^f CENTRO BRASILEIRO DE PESQUISAS FÍSICAS   (Brazil)

^g DURHAM UNIVERSITY   (United Kingdom)

^h EPFL   (Switzerland)

ⁱ AALTO UNIVERSITY   (Finland)

^j UNIVERSITY OF EDINBURGH   (United Kingdom)

^k UNIVERSITY OF PENNSYLVANIA   (United States)

^l UNIVERSITY OF MUNICH   (Germany)

^m EXCELLENCE CLUSTER UNIVERSE   (Germany)

ⁿ UNIVERSITÉ PARIS DIDEROT   (France)

^o CHINESE ACADEMY OF SCIENCES   (China)

^p PURDUE UNIVERSITY   (United States)

more..

Author keywords

atmospheric effects; cosmology: observations; methods: data analysis; techniques: image processing

Indexed keywords

EID: 84875961884     PISSN: 00670049     EISSN: None     Source Type: Journal    
DOI: 10.1088/0067-0049/205/2/12     Document Type: Article

References (52)

1. Albrecht, A., Bernstein, G., & Cahn, R. et al. 2006, arXiv:astro-ph/0609591
2. Bacon, D., Massey, R. J., Refregier, A. R., & Ellis, R. S. 2003, MNRAS, 344, 673
3. Bartelmann, M. & Schneider, P. 2001, PhR, 340, 291
4. Bergé, J., Price, S., Amara, A., & Rhodes, J. 2012, MNRAS, 419, 2356
5. Bernstein, G. & Jarvis, M. 2002, AJ, 123, 583
6. Bertin, E. 2011, adass, 442, 435
7. Bridle, S., Balan, S. T., & Bethge, M. et al. 2010, MNRAS, 405, 2044
8. Buhmann, M. D. 2003, Radial Basis Functions: Theory and Implementations, Vol. 12 (Cambridge: Cambridge Univ. Press), 274
9. Chang, C., Kahn, S. M., & Jernigan, J. G. et al. 2012, MNRAS, in press (arXiv:1206.1378)
10. Cropper, M., Hoekstra, H., & Kitching, T. et al. 2012, MNRAS, submitted (arXiv:1210.7691)
11. Cypriano, E., Amara, A., & Voigt, L. et al. 2010, MNRAS, 405, 494
12. Dierckx, P. 1980, An Algorithm for Surface Fitting with Spline Functions, (Katholieke Univ. Leuven)
13. Dierckx, P. 1995, Curve and Surface Fitting with Splines, Monographs on Numerical Analysis (Oxford: Oxford Univ. Press)
14. Gentile, M., Courbin, F., & Meylan, G. 2013, A&A, 549, A1
15. Georgatzis, K. 2011, Master's thesis (Univ. Edinburgh)
16. Heymans, C., Rowe, B., & Hoekstra, H. et al. 2012, MNRAS, 421, 381
17. Heymans, C., Van Waerbeke, L., & Bacon, D. et al. 2006, MNRAS, 368, 1323
18. Hoekstra, H. 2004, MNRAS, 347, 1337
19. Hoekstra, H. & Jain, B. 2008, ARNPS, 58, 99
20. Hoekstra, H., Yee, H., & Gladders, M. 2004, ApJ, 606, 67
21. Hu, W. 1999, ApJ, 522, L21
22. Jain, B., Jarvis, M., & Bernstein, G. 2006, JCAP, 0602, 001
23. Jarvis, M. & Jain, B. 2005, ApJ, submitted (astro-ph/0412234)
24. Jarvis, M., Schechter, P., & Jain, B. 2008, arXiv:0810.0027
25. Kitching, T., Balan, S., & Bernstein, G. et al. 2012a, AoAS, 5, 2231
26. Kitching, T. D., Balan, S. T., & Bridle, S. et al. 2012b, MNRAS, 423, 3236
27. Kitching, T. D., Rhodes, J., & Heymans, C. et al. 2012c, NewAR, submitted (arXiv:1204.4096)
28. Kuijken, K. 2006, arXiv:astro-ph/0610606
29. Levenberg, K. 1944, QApMa, 2, 164
30. Li, G., Xin, B., & Cui, W. 2012, arXiv:1203.0571
31. Marquardt, D. W. 1963, J. Soc. Ind. Appl. Math., 11, 431
32. Massey, R., Heymans, C., & Bergé, J. et al. 2007, MNRAS, 376, 13
33. Massey, R., Hoekstra, H., & Kitching, T. et al. 2013, MNRAS, 429, 661
34. Massey, R., Kitching, T., & Richard, J. 2010, RPPh, 73, 086901
35. Moffat, A. F. J. 1969, A&A, 3, 455
36. Papageorgiou, A. M. 2011, Master's thesis, Univ. Edinburgh
37. Paulin-Henriksson, S., Amara, A., Voigt, L., Réfrégier, A., & Bridle, S. 2008, A&A, 484, 67
38. Paulin-Henriksson, S., Réfrégier, A., & Amara, A. 2009, A&A, 500, 647
39. Plazas, A. A. & Bernstein, G. M. 2012, PASP, in press (arXiv:1204.1346)
40. Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. 2007, Numerical Recipes: The Art of Scientific Computing, 3rd ed. (Cambridge: Cambridge Univ. Press)
41. Rasmussen, C. E. & Williams, C. K. I. 2006, Gaussian Processes for Machine Learning. Adaptive Computation and Machine Learning (Cambridge, MA: MIT Press)
42. Réfrégier, A. 2003, ARA&A, 41, 645
43. Rhodes, J., Massey, R. J., & Albert, J. et al. 2007, ApJS, 172, 203
44. Rowe, B. 2010, MNRAS, 404, 350
45. Schrabback, T., Hartlap, J., & Joachimi, B. et al. 2010, A&A, 516, 63
46. Shepard, D. 1968, ACM 68: Proc. 1968 23rd ACM national conference, ed. R. B. Blue Sr. & A. M. Rosenberg (New York: ACM), 517
47. van Waerbeke, L., Mellier, Y., & Hoekstra, H. 2005, A&A, 429, 75
48. Voigt, L., Bridle, S., & Amara, A. et al. 2012, MNRAS, 421, 1385
49. Waller, L. & Gotway, C. 2004, Applied Spatial Statistics for Public Health Data, Wiley Series in Probability and Statistics (New York: Wiley)
50. Webster, R. & Oliver, M. 2007, Geostatistics for Environmental Scientists, Statistics in Practice (New York: Wiley)
51. Weinberg, D. H., Mortonson, M. J., & Eisenstein, D. J. et al. 2012, arXiv:1201.2434
52. Wells, D. C., Greisen, E. W., & Harten, R. H. 1981, A&AS, 44, 363