David Wiltshire: Cosmic Clocks, Cosmic Variance & Cosmic Averages

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SUMMARY

The discussion centers on David L. Wiltshire's paper "Cosmic Clocks, Cosmic Variance and Cosmic Averages," which critiques the Dark Energy (DE) concept. Wiltshire emphasizes that the treatment of Supernova Ia (SNIa) data in the paper is thorough, countering claims of dismissiveness. He highlights that the apparent acceleration derived from the data is statistically comparable to the Lambda Cold Dark Matter (Lambda CDM) model, and notes the importance of the "Hubble bubble" in evaluating the Lambda CDM paradigm. Wiltshire asserts that future data collection will enhance the ability to differentiate between the Lambda CDM and his proposed FB model.

PREREQUISITES
  • Understanding of Supernova Ia (SNIa) data analysis
  • Familiarity with Lambda Cold Dark Matter (Lambda CDM) model
  • Knowledge of observational cosmology
  • Basic grasp of statistical methods in model fitting
NEXT STEPS
  • Read David L. Wiltshire's paper "Cosmic Clocks, Cosmic Variance and Cosmic Averages"
  • Explore the implications of the "Hubble bubble" on cosmological models
  • Investigate the differences between the Lambda CDM model and the FB model
  • Study the statistical methods used in SNIa data analysis and model fitting
USEFUL FOR

Cosmologists, astrophysicists, and researchers interested in the implications of dark energy and supernova data on cosmological models.

Kea
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People might be interested in a new paper, namely

Cosmic clocks, cosmic variance and cosmic averages
David L. Wiltshire
72 pages, 5 figures
http://www.arxiv.org/abs/gr-qc/0702082

which demolishes DE (yet again!).
 
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I like the paper, it is well written as usual [he has a way with words]. But the conclusions are not convincing. The treatment of SNIa data, for example, appears to be dismissive, IMO.
 
comment from D. Wiltshire

DLW wishes to advise that the statement that the treatment of SNIa data, for example, appears to be dismissive would seem to have been made without reading all of the paper, which is understandable given it is 72 pages long. In view of the length of the paper, he has placed a summary of observational results and a faq at

http://www2.phys.canterbury.ac.nz/~dlw24/universe/

In relation to the supernova data, see Figs 2 and 3, surrounding discussion and section 7.5. Apparent acceleration is now obtained, unlike in the rough approximations of earlier work. Moreover, the goodness of fit is now statistically indistinguishable from the Lambda CDM model. (Further details will be released in a paper with Leith and Ng, ref [16].) For those who wish to actually pay attention to data, the question of whether or not the "Hubble bubble" should be included (a difference between Riess04 and Riess06 gold data sets), is a serious issue for the Lambda CDM paradigm, as the supernovae data teams have pointed out (in a quiet way) in their recent eprints astro-ph/0612666, astro-ph/0701041. This feature has a natural explanation in the FB model, as discussed in section 7.5, and should ultimately be open to quantitative testing. The difference of the residuals between the Lambda CDM models and the FB model in Fig. 3 also indicate that supernovae data may prove to be a good way to distinguish the models once some thousands or tens of thousands of data points are collected, even though the present data cannot distinguish the two models.
 
Point conceded. I did not fully appreciate the implications suggested in this passage during my initial reading. Will give the paper a more careful reading [I do tend to gloss at times].
 
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