Correlation effects on the Fermi surface of the two-dimensional Hubbard model

Effects of electron correlation on the Fermi surface is investigated for the two-dimensional Hubbard model by the quantum Monte Carlo method. At first, an infinitesimal doping from the half filling is focused on and the momentum dependent charge susceptibility $\kappa(k)=\frac {dn(k)}{d\mu}$ is calculated at a finite temperature. At the temperature $T \sim \frac {t^2} U$, it shows peak structure at $(\pm \pi/2,\pm \pi/2)$ on the Fermi surface (line). It is consistent with the mean-field prediction of the d-wave pairing state or the staggerd flux state. This momentum dependent structure disappears at the high temperature $T \approx U$. After summarizing the results of the half filling case, we also discuss the effects of the doping on the momentum dependent charge susceptibility. The anisotropic structure at half filling fades out with sufficient doping.Comment: 6 pages, 3 figures; proceedings of ISSP

Ingredients of nuclear matrix element for two-neutrino double-beta decay of 48Ca

Large-scale shell model calculations including two major shells are carried out, and the ingredients of nuclear matrix element for two-neutrino double beta decay are investigated. Based on the comparison between the shell model calculations accounting only for one major shell ($pf$-shell) and those for two major shells ($sdpf$-shell), the effect due to the excitation across the two major shells is quantitatively evaluated.Comment: To appear in J. Phys. Soc. Conf. Proc. (ARIS2014); for ver.2, Fig.1 is revise

Gaze constancy in upright and inverted faces

This work is supported by Australian Research Council Discovery Project [DP120102589]; CC is supported by an Australian Research Council Future Fellowship

Testing the dual-route model of perceived gaze direction: Linear combination of eye and head cues

This work is supported by Australian Research Council Discovery Project [DP120102589 & DP160102239] to CC. IM is supported by a Leverhulme Project Grant RPG-2013-218. YO is supported by a Grant-in-Aid for Research Activity Start-up [15H06456] from the Japan Society for the Promotion of Science. We thank Matthew Patten for his help in data collection