Zobrazeno 1 - 6
of 6
pro vyhledávání: '"D. R. T. Robinson"'
Publikováno v:
Annals of the New York Academy of Sciences. 759:658-663
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35a35fe55543ec13d1d490b17f38cb84
https://doi.org/10.1111/j.1749-6632.1995.tb17629.x
https://doi.org/10.1111/j.1749-6632.1995.tb17629.x
New Hubble Space Telescope observations of Cepheid variable stars in the nearby galaxy M96 give a distance to the host galaxy group, Leo-I, of 11.6+/-0.8 Mpc. This value, used in conjunction with several reliable secondary indicators of relative dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7008cf86649ef6af781834a8fb39680
http://arxiv.org/abs/astro-ph/9509160
http://arxiv.org/abs/astro-ph/9509160
We present the first high resolution polarization map of the ultraviolet emission from the outer jet in M87. The data were obtained by the Faint Object Camera (FOC) on the Hubble Space Telescope. The polarization map has a resolution of 0.2 arcsec an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::094a59635c280fa88fa08b2e32ea46eb
Publikováno v:
Maximum Entropy and Bayesian Methods ISBN: 9789048142200
MaxEnt has been used to great effect, for optical deblurring, medical image enhancement and minimising noise and improving the resolution in radio astronomy. More recently we have successfully applied the Cambridge ‘MemSys5’ MaxEnt algorithm to e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::429b3d0267275dd09e0862a055f64f78
https://doi.org/10.1007/978-94-017-2219-3_25
https://doi.org/10.1007/978-94-017-2219-3_25
Publikováno v:
Maximum Entropy and Bayesian Methods ISBN: 9789401055314
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23a5841b85e80e7d7d8051de5ddec77c
https://doi.org/10.1007/978-94-011-3460-6_37
https://doi.org/10.1007/978-94-011-3460-6_37
Autor:
D. R. T. Robinson
Publikováno v:
Maximum Entropy and Bayesian Methods ISBN: 9789401055314
This paper presents the Bayesian MaxEnt solution to problems with data subject to Poisson statistics. Examples are shown of the deconvolution of Hubble Space Telescope images. The method is also applied to the reconstruction of a probability distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ead97fc637174266e88601217e11d58e
https://doi.org/10.1007/978-94-011-3460-6_33
https://doi.org/10.1007/978-94-011-3460-6_33