10,413 research outputs found
A characterization of arithmetical invariants by the monoid of relations
The investigation and classification of non-unique factorization phenomena
have attracted some interest in recent literature. For finitely generated
monoids, S.T. Chapman and P. Garcia-Sanchez, together with several co-authors,
derived a method to calculate the catenary and tame degree from the monoid of
relations, and they applied this method successfully in the case of numerical
monoids. In this paper, we investigate the algebraic structure of this
approach. Thereby, we dispense with the restriction to finitely generated
monoids and give applications to other invariants of non-unique factorizations,
such as the elasticity and the set of distances
Model-independent calculation of violation in baryon octet light-cone distribution amplitudes
In this work we present a minimal parametrization of the light-cone
distribution amplitudes of the baryon octet including higher twist
contributions. Simultaneously we obtain the quark mass dependence of the
amplitudes at leading one-loop accuracy by the use of three-flavor baryon
chiral perturbation theory (BChPT), which automatically yields
model-independent results for the leading flavor breaking effects. For
that purpose we have constructed the nonlocal light-cone three-quark operators
in terms of baryon octet and meson fields and have carried out a
next-to-leading order BChPT calculation. We were able to find a minimal set of
distribution amplitudes (DAs) that do not mix under chiral extrapolation
towards the physical point and naturally embed the baryon.
Additionally they are chosen in such a way that all DAs of a certain symmetry
class have a similar quark mass dependence (independent of the twist of the
corresponding amplitude), which allows for a compact presentation. The results
are well-suited for the extrapolation of lattice data and for model building.Comment: We have updated the text to match the version published in JHE
Higgs Boson pair production merged to one jet
We develop a Monte Carlo event generator for Higgs Boson pair production
merged to exact one-jet matrix elements. The matrix elements are generated with
OpenLoops and event generation is performed with the HERWIG++ general-purpose
event generator. This allows us to simulate fully-exclusive hadronic final
states with accurate description of the kinematics of the leading jet in
conjunction with a parton shower. We use the implementation to examine in
detail the systematic uncertainties which result from the merging procedure. We
assess the magnitude of the impact of the merging on experimental searches of
Standard Model di-Higgs production that aim to constrain the Higgs boson
self-coupling. We find that the use of a merged sample can reduce theoretical
systematic uncertainties in the efficiencies of cuts on certain observables.
This constitutes the most accurate simulation of the process available to date.
The Monte Carlo event generator developed for this project is available as an
add-on to the HERWIG++ event generator at http://www.itp.uzh.ch/~andreasp/hhComment: 19 pages, 10 figures, updated UR
Emergent Leadership Detection Across Datasets
Automatic detection of emergent leaders in small groups from nonverbal
behaviour is a growing research topic in social signal processing but existing
methods were evaluated on single datasets -- an unrealistic assumption for
real-world applications in which systems are required to also work in settings
unseen at training time. It therefore remains unclear whether current methods
for emergent leadership detection generalise to similar but new settings and to
which extent. To overcome this limitation, we are the first to study a
cross-dataset evaluation setting for the emergent leadership detection task. We
provide evaluations for within- and cross-dataset prediction using two current
datasets (PAVIS and MPIIGroupInteraction), as well as an investigation on the
robustness of commonly used feature channels (visual focus of attention, body
pose, facial action units, speaking activity) and online prediction in the
cross-dataset setting. Our evaluations show that using pose and eye contact
based features, cross-dataset prediction is possible with an accuracy of 0.68,
as such providing another important piece of the puzzle towards emergent
leadership detection in the real world.Comment: 5 pages, 3 figure
Observation Centric Sensor Data Model
Management of sensor data requires metadata to understand the semantics of observations. While e-science researchers have high demands on metadata, they are selective in entering metadata. The claim in this paper is to focus on the essentials, i.e., the actual observations being described by location, time, owner, instrument, and measurement. The applicability of this approach is demonstrated in two very different case studies
Progressive Taxation and Tax Morale
As the link between tax compliance and tax morale is found to be robust, finding the determinants of tax morale can help to understand and fight tax evasion. In this paper we analyze the effect of progressive taxation on tax morale in a cross-country approach – which has not been investigated before. Our theoretical analysis leads to two testable predictions. First, an individual’s tax morale is higher, the more progressive the tax schedule is. Second, the impact of tax progressivity on tax morale is declining in income. In our empirical analysis, we make use of a unique dataset of tax progressivity measures and follow most of the tax morale literature by employing the World Values Survey to measure tax morale. Controlling for a wide range of variables, we confirm both hypotheses in our empirical analysis.tax morale, tax compliance, progressivity, taxation, redistribution
Progressive Taxation and Tax Morale
As the link between tax compliance and tax morale is found to be robust, finding the determinants of tax morale can help to understand and fight tax evasion. In this paper we analyze the effect of progressive taxation on tax morale in a cross-country approach - which has not been investigated before. Our theoretical analysis leads to two testable predictions. First, an individual's tax morale is higher, the more progressive the tax schedule is. Second, the impact of tax progressivity on tax morale is declining in income. In our empirical analysis, we make use of a unique dataset of tax progressivity measures and follow most of the tax morale literature by employing the World Values Survey to measure tax morale. Controlling for a wide range of variables, we confirm both hypotheses in our empirical analysis.Tax Morale, Tax Compliance, Progressivity, Taxation, Redistribution
- …