Friday, January 14, 2005 ... Deutsch/Español/Related posts from blogosphere

Nima clarifies friendly landscape

This is not a real article, just an announcement: under the article

Nima Arkani-Hamed, a co-author of the paper and arguably the leader of current particle physics, gives a rather detailed explanation of his viewpoints and the really attractive features of these models. So I hope that this answer of him will increase the number of visitors in interested in physics, and it will double their average IQ! :-)

Also, Jacques Distler describes the article about the predictive landscapes here.

Add to del.icio.us Digg this Add to reddit

snail feedback (7) :


reader Anonymous said...

Thanks for these postings. I for one feel like my IQ
is improving (:>).
I am glad to see that at least some people are now getting over the shock of the possible existence
of the landscape and turn the idea into something useful.


reader Quantoken said...
This comment has been removed by a blog administrator.

reader Anonymous said...

What have you done to merit such heartless chastisement? Sad to say, freedom of speech has its downside. Let loose the blog administrator one more time.


reader Quantoken said...
This comment has been removed by a blog administrator.

reader David G said...

Lubos,

Sorry to get off topic, but I'd like to plug my blog http://web.mit.edu/guarrera/www/blog.htm . I tell you because reading your blog was mostly the inspiration for making my own..

thanks!


reader Plato said...

If you do not follow this history, you will never understand what Nima Arkani-Hamed, Sava Dimopoulos, and Gia Dvali been doing with extra dimensions.

How important is it Lubos to have this background(information wise) in order to comprehend the landscape?


reader Lumo said...

Hi Plato,

I think that none of details of the models of large extra dimensions play any significant role in this new friendly landscape business - they're just different models based on different ideas to solve similar questions (such as the hierarchy problem).

Best
Lubos