
References 
There are many books and papers devoted to the vast subject of
practical cosmology. The most recent results will be published
in the Proceedings of the Conference on June, 2008.
Below we display a list of references to that books which
related to foundations of practical cosmology, in its observational
and theoretical parts.
General information about Allan Sandage and his contribution
to modern astronomy and cosmology see in
wikipedia.
Allan Sandage's paper "A scientist reflects on religious belief".
>>
A paper about Allan Sandage in New York Times July 25 1999.
>>
Allan Sandage
"Practical Cosmology: Inventing the Past"
in "The Deep Universe",
SaasFee Advanced Course 23. Lecture Notes 1993.
Swiss Society for Astrophysics and Astronomy,
ed. by B.Bingelli and R.Buser
SpringerVerlag, 1995.
>>
Allan Sandage
"Astronomical Problems for the Next Three Decades"
in "The Universe at Large: Key Issues in Astronomy and Cosmology",
ed. by Guido Munch, Antonio Mampaso, and Francisco Sanchez,
Cambridge Univ. Press, 1997.
>>
Allan Sandage
"The Mount Wilson Observatory: Breaking the Code of Cosmic
Evolution",
Cambridge University Press, 2004.
>>
Edward Harrison
"Cosmology: The Science of the Universe",
Cambridge University Press, 2d edition, 2000.
>>
Jayant V. Narlikar
Introduction to Cosmology (with Foreword by Fred Hoyle),
Cambridge University Press; 3d edition, 2002.
>>
Richard Ph. Feynman, Fernando B. Morinigo, William G. Wagner
"Feynman Lectures on Gravitation",
Addison Wesley Longman, 1995.
>>
Yurij Baryshev & Pekka Teerikorpi
"Discovery of Cosmic Fractals",
World Scientific Publishing Co., Singapore, 2002.
>>
Polish translation:
Jurij Baryszew & Pekka Teerikorpi
"Wszechswiat. Poznawanie kosmicznego ladu",
WAM, Krakov 2005.
>>
Italian translation:
Yurij Baryshev e Pekka Teerikorpi
"La scoperta dei frattali cosmici",
Bollati Boringhieri, Torino, 2006.
>>
Andrea Gabrielli, Francesco Sylos Labini,
Michael Joyce, Luciano Pietronero
"Statistical Physics for Cosmic Structures",
Springer, 2005.
>>
PIL group webaddress on Large Scale Structure statistical analysis.
>>


Back to Top 
