arXiv Analytics

Sign in

arXiv:cond-mat/0410104AbstractReferencesReviewsResources

Interpretation of experimental data near lambda-transition point in liquid helium

J. Kaupuzs

Published 2004-10-05, updated 2006-02-04Version 2

The recently published experimental data for specific heat C_p of liquid helium in zero gravity conditions very close to the lambda-transition have been discussed. We have shown that these data allow different interpretations. They can be well interpreted within the perturbative RG approach and within our recently developed theory, as well. Allowing the logarithmic correction, the corresponding fits lie almost on top of each other over the whole range of the reduced temperatures t (for bin averaged data) 6.3 x 10^{-10} < t < 8.8 x 10^{-3}. However, the plot of the effective exponent alpha_eff(t) suggests that the behaviour of C_p, probably, changes very close to the lambda-transition temperature. To clarify this question, we need more accurate data for t<10^{-7}. In addition, we show that the experimental data for superfluid fraction of liquid helium close to the critical point within 3 x 10^{-7} < t < 10^{-4} can be better fit by our exponents nu=9/13, Delta=5/13 than by the RG exponents (nu approximately 0.6705 and Delta about 0.5). The latter ones are preferable to fit the whole measured range 3 x 10^{-7} < t < 10^{-2} where, however, remarkable systematic deviations appear. Our estimated value 0.694 +/- 0.017 of the asymptotic exponent nu well agrees with the theoretical prediction nu=9/13.

Comments: 9 pages, 4 figures. The first version was a preliminary one. Now it is substentially extended and coincides with the published paper
Journal: Eur. Phys. J. B 45, 459-463 (2005)
Categories: cond-mat.stat-mech
Related articles: Most relevant | Search more
arXiv:cond-mat/0406126 (Published 2004-06-04)
On the interpretation of "off the edge" avalanches
arXiv:cond-mat/0005351 (Published 2000-05-22)
Interface dynamics from experimental data
How to determine a boundary condition at a thin membrane for diffusion from experimental data