Measurement of a small atmospheric νμ/νe\nu_\mu/\nu_e ratio

From an exposure of 25.5~kiloton-years of the Super-Kamiokande detector, 900 muon-like and 983 electron-like single-ring atmospheric neutrino interactions were detected with momentum $p_e > 100$ MeV/$c$, $p_\mu > 200$ MeV/$c$, and with visible energy less than 1.33 GeV. Using a detailed Monte Carlo simulation, the ratio $(\mu/e)_{DATA}/(\mu/e)_{MC}$ was measured to be $0.61 \pm 0.03(stat.) \pm 0.05(sys.)$, consistent with previous results from the Kamiokande, IMB and Soudan-2 experiments, and smaller than expected from theoretical models of atmospheric neutrino production.Comment: 14 pages with 5 figure

Calibration of Super-Kamiokande Using an Electron Linac

In order to calibrate the Super-Kamiokande experiment for solar neutrino measurements, a linear accelerator (LINAC) for electrons was installed at the detector. LINAC data were taken at various positions in the detector volume, tracking the detector response in the variables relevant to solar neutrino analysis. In particular, the absolute energy scale is now known with less than 1 percent uncertainty.Comment: 24 pages, 16 figures, Submitted to NIM

Predicting uptake of housing services: The role of self-categorization in the theory of planned behaviour.

Abstract: The theory of planned behaviour (TPB) and self-categorization theory (SCT) were used to predict homeless people's (n = 80) uptake of housing support services. Homeless people's uptake behaviour was measured one year after a TPB/SCT-based interview schedule was administered. Congruent with previous research, TPB variables were influential predictors of both intention and behaviour. However, the addition of self-categorization variables, such as friendship group norms and identification as a housing support service user, significantly increased the rate prediction for both intention and behaviour, respectively. The implications of the research are firstly, that social cognition models are useful for understanding uptake of housing support services; and secondly, the addition of self-categorization variables aids in exploring the central role that social norms play in understanding the uptake of these services. These findings are discussed in terms of their impact on theory and practice

Shear band patterns in metallic glasses under static indentation, dynamic indentation, and scratch processes

The deformation structure in terms of shear band patterns in bulk metallic glasses (BMGs) under static indentation, dynamic indentation, and dynamic scratch tests has been investigated. The evolved shear band patterns appear to be a strong function of loading rate, although the plastic regions beneath the loading surface have similarities in shape irrespective of loading type. Comparison of currently available modeling estimates with experimental measurements has revealed that these models predict the plastic zone size reasonably well at low loads but deviate considerably at higher loads. The variation in spacing of shear bands is rationalized on the basis of the shear displacement accommodated by the shear bands formed under different loading rates, which results from a proposed shear-band formation mechanism based on the momentum diffusion model. © The Minerals, Metals & Materials Society and ASM International 2007