28,385 research outputs found
Efficient calculation of local dose distribution for response modelling in proton and ion beams
We present an algorithm for fast and accurate computation of the local dose
distribution in MeV beams of protons, carbon ions or other heavy-charged
particles. It uses compound Poisson-process modelling of track interaction and
succesive convolutions for fast computation. It can handle mixed particle
fields over a wide range of fluences. Since the local dose distribution is the
essential part of several approaches to model detector efficiency or cellular
response it has potential use in ion-beam dosimetry and radiotherapy.Comment: 9 pages, 3 figure
New Developments in FormCalc 8.4
We present new developments in FeynArts 3.9 and FormCalc 8.4, in particular
the MSSMCT model file including the complete one-loop renormalization,
vectorization/parallelization issues, and the interface to the Ninja library
for tensor reduction.Comment: 7 pages, proceedings contribution to Loops & Legs 2014, April 27-May
2, 2014, Weimar, German
No evidence for associations between men's salivary testosterone and responses on the Intrasexual Competitiveness Scale
Objectives:
Many previous studies have investigated relationships between men’s competitiveness and testosterone. For example, the extent of changes in men’s testosterone levels following a competitive task predicts the likelihood of them choosing to compete again. Recent work investigating whether individual differences in men’s testosterone levels predict individual differences in their competitiveness have produced mixed results.
Methods:
In light of the above, we investigated whether men’s (N = 59) scores on the Intrasexual Competitiveness Scale were related to either within-subject changes or between-subject differences in men’s salivary testosterone levels.
Results:
Men’s responses on the Intrasexual Competitiveness Scale did not appear to track within-subject changes in testosterone. By contrast with one recent study, men’s Intrasexual Competitiveness Scale also did not appear to be related to individual differences in testosterone.
Conclusions:
Our results present no evidence for associations between men’s testosterone and their responses on the Intrasexual Competitiveness Scale
The relative contributions of facial shape and surface information to perceptions of attractiveness and dominance
Although many studies have investigated the facial characteristics that influence perceptions of others’ attractiveness and dominance, the majority of these studies have focused on either the effects of shape information or surface information alone. Consequently, the relative contributions of facial shape and surface characteristics to attractiveness and dominance perceptions are unclear. To address this issue, we investigated the relationships between ratings of original versions of faces and ratings of versions in which either surface information had been standardized (i.e., shape-only versions) or shape information had been standardized (i.e., surface-only versions). For attractiveness and dominance judgments of both male and female faces, ratings of shape-only and surface-only versions independently predicted ratings of the original versions of faces. The correlations between ratings of original and shape-only versions and between ratings of original and surface-only versions differed only in two instances. For male attractiveness, ratings of original versions were more strongly related to ratings of surface-only than shape-only versions, suggesting that surface information is particularly important for men’s facial attractiveness. The opposite was true for female physical dominance, suggesting that shape information is particularly important for women’s facial physical dominance. In summary, our results indicate that both facial shape and surface information contribute to judgments of others’ attractiveness and dominance, suggesting that it may be important to consider both sources of information in research on these topics
Diagrammatic Monte Carlo study of the Fr\"ohlich polaron dispersion in 2D and 3D
We present results for the solution of the large polaron Fr\"ohlich
Hamiltonian in 3-dimensions (3D) and 2-dimensions (2D) obtained via the
Diagrammatic Monte Carlo (DMC) method. Our implementation is based on the
approach by Mishchenko [A.S. Mishchenko et al., Phys. Rev. B 62, 6317 (2000)].
Polaron ground state energies and effective polaron masses are successfully
benchmarked with data obtained using Feynman's path integral formalism. By
comparing 3D and 2D data, we verify the analytically exact scaling relations
for energies and effective masses from 3D2D, which provides a stringent
test for the quality of DMC predictions. The accuracy of our results is further
proven by providing values for the exactly known coefficients in weak- and
strong coupling expansions. Moreover, we compute polaron dispersion curves
which are validated with analytically known lower and upper limits in the small
coupling regime and verify the first order expansion results for larger
couplings, thus disproving previous critiques on the apparent incompatibility
of DMC with analytical results and furnishing useful reference for a wide range
of coupling strengths
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