[Cosmo-media] festiwal nauki (fwd)
Boud Roukema
boud at astro.uni.torun.pl
Wed Apr 14 16:25:26 CEST 2004
On Wed, 14 Apr 2004, Bartosz Lew wrote:
> another interesting thing for simple inflation models and against topology
> would be the lack of non-gaussian signal in WMAP map at lest downto the
> threshold of the sensitivity.
Ggngngngngn!!!
four legs good, two legs bad;
four legs good, two legs bad;
four legs good, two legs bad;
four legs good, two legs bad;
four legs good, two legs bad;
four legs good, two legs bad;
four legs good, two legs bad;
four legs good, two legs bad;
four legs good, two legs bad;
four legs good, two legs bad;
four legs good, two legs bad;
four legs good, two legs bad;
(Please read the above out aloud to make sure you've learnt it properly.)
So: How many legs are good?
Lots of people have found non-gaussian signal in WMAP data!!!
If you look at page 8 of astro-ph/0402608 (i recommend this as quite
an interesting paper to read), you'll see a reference to:
Detection of non-Gaussianity in the WMAP 1-year data using spherical
wavelets - P. Vielva, E. Martinez-Gonzalez, R. B. Barreiro,
J. L. Sanz, L. Cayon
http://de.arXiv.org/abs/astro-ph/0310273
And if you look at:
http://adjani.astro.uni.torun.pl:9673/zwicky/CosmoNews
you'll also find:
multipole vector analysis of WMAP data in favour of non-Gaussianity and cross-correlations of fluctuations on scales 2 < l < 8
http://de.arXiv.org/abs/astro-ph/0310511 #
Non-Gaussianity of the derived maps from the first-year WMAP data
Authors: Lung-Yih Chiang (1), Pavel D. Naselsky (1,2), Oleg V. Verkhodanov (1,3), Michael J. Way
http://de.arxiv.org/abs/astro-ph/0303643
Wavelets and WMAP non-Gaussianity - Pia Mukherjee, Yun Wang
http://de.arXiv.org/abs/astro-ph/0402602
(posted on astro-ph just a few minutes before our article!)
gaussianity good, non-gaussianity bad;
gaussianity good, non-gaussianity bad;
gaussianity good, non-gaussianity bad;
gaussianity good, non-gaussianity bad;
gaussianity good, non-gaussianity bad;
gaussianity good, non-gaussianity bad;
Remember to say this before you go to sleep each night.
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