1,011,751 research outputs found
A PERSPECTIVE ON THE ROLE OF THE EUROPEAN NEIGHBORHOOD POLICY IN THE PAN-EUROPEAN INTEGRATION
The European Neighbourhood Policy introduces a new approach in the EU external relations with its interest neighbourhood; its strategic role is to provide a system which can allow the Union to set its external limits, without risking having new dividing lEuropean Neighborhood Policy, European Union, Pan-European Integration
Technical Proposal for FASER: ForwArd Search ExpeRiment at the LHC
FASER is a proposed small and inexpensive experiment designed to search for
light, weakly-interacting particles during Run 3 of the LHC from 2021-23. Such
particles may be produced in large numbers along the beam collision axis,
travel for hundreds of meters without interacting, and then decay to standard
model particles. To search for such events, FASER will be located 480 m
downstream of the ATLAS IP in the unused service tunnel TI12 and be sensitive
to particles that decay in a cylindrical volume with radius R=10 cm and length
L=1.5 m. FASER will complement the LHC's existing physics program, extending
its discovery potential to a host of new, light particles, with potentially
far-reaching implications for particle physics and cosmology.
This document describes the technical details of the FASER detector
components: the magnets, the tracker, the scintillator system, and the
calorimeter, as well as the trigger and readout system. The preparatory work
that is needed to install and operate the detector, including civil
engineering, transport, and integration with various services is also
presented. The information presented includes preliminary cost estimates for
the detector components and the infrastructure work, as well as a timeline for
the design, construction, and installation of the experiment.Comment: 82 pages, 62 figures; submitted to the CERN LHCC on 7 November 201
The White Dwarf Luminosity Functions from the Pan-STARRS 1 3π Steradian Survey
A large sample of white dwarfs is selected by both proper motion and colours from the Pan-STARRS 1 3{\pi} Steradian Survey Processing Version 2 to construct the White Dwarf Luminosity Functions of the discs and halo in the solar neighbourhood. Four-parameter astrometric solutions were recomputed from the epoch data. The generalised maximum volume method is then used to calculate the density of the populations. After removal of crowded areas near the Galactic plane and centre, the final sky area used by this work is 7.833 sr, which is 83% of the 3{\pi} sky and 62% of the whole sky. By dividing the sky using Voronoi tessellation, photometric and astrometric uncertainties are recomputed at each step of the integration to improve the accuracy of the maximum volume. Interstellar reddening is considered throughout the work. We find a disc-to-halo white dwarf ratio of about 100
Unbiasing Hamiltonian Monte Carlo algorithms for a general Hamiltonian function
Hamiltonian Monte Carlo (HMC) is a Markov chain Monte Carlo method that
allows to sample high dimensional probability measures. It relies on the
integration of the Hamiltonian dynamics to propose a move which is then
accepted or rejected thanks to a Metropolis procedure. Unbiased sampling is
guaranteed by the preservation by the numerical integrators of two key
properties of the Hamiltonian dynamics: volume-preservation and reversibility
up to momentum reversal. For separable Hamiltonian functions, some standard
explicit numerical schemes, such as the St\"ormer--Verlet integrator, satisfy
these properties. However, for numerical or physical reasons, one may consider
a Hamiltonian function which is nonseparable, in which case the standard
numerical schemes which preserve the volume and satisfy reversibility up to
momentum reversal are implicit. Actually, when implemented in practice, such
implicit schemes may admit many solutions or none, especially when the timestep
is too large. We show here how to enforce the numerical reversibility, and thus
unbiasedness, of HMC schemes in this context. Numerical results illustrate the
relevance of this correction on simple problems.Comment: 62 pages, 8 figure
Derivation of SPH equations in a moving referential coordinate system
The conventional SPH method uses kernel interpolation to derive the spatial
semi-discretisation of the governing equations. These equations, derived using a
straight application of the kernel interpolation method, are not used in
practice. Instead the equations, commonly used in SPH codes, are heuristically
modified to enforce symmetry and local conservation properties. This paper
revisits the process of deriving these semi-discrete SPH equations. It is shown
that by using the assumption of a moving referential coordinate system and
moving control volume, instead of the fixed referential coordinate system and
fixed control volume used in the conventional SPH method, a set of new semi-
discrete equations can be rigorously derived. The new forms of semi-discrete
equations are similar to the SPH equations used in practice. It is shown through
numerical examples that the new rigorously derived equations give similar
results to those obtained using the conventional SPH equations
Hippocampal sclerosis affects fMR-adaptation of lyrics and melodies in songs
Songs constitute a natural combination of lyrics and melodies, but it is unclear whether and how these two song components are integrated during the emergence of a memory trace. Network theories of memory suggest a prominent role of the hippocampus, together with unimodal sensory areas, in the build-up of conjunctive representations. The present study tested the modulatory influence of the hippocampus on neural adaptation to songs in lateral temporal areas. Patients with unilateral hippocampal sclerosis and healthy matched controls were presented with blocks of short songs in which lyrics and/or melodies were varied or repeated in a crossed factorial design. Neural adaptation effects were taken as correlates of incidental emergent memory traces. We hypothesized that hippocampal lesions, particularly in the left hemisphere, would weaken adaptation effects, especially the integration of lyrics and melodies. Results revealed that lateral temporal lobe regions showed weaker adaptation to repeated lyrics as well as a reduced interaction of the adaptation effects for lyrics and melodies in patients with left hippocampal sclerosis. This suggests a deficient build-up of a sensory memory trace for lyrics and a reduced integration of lyrics with melodies, compared to healthy controls. Patients with right hippocampal sclerosis showed a similar profile of results although the effects did not reach significance in this population. We highlight the finding that the integrated representation of lyrics and melodies typically shown in healthy participants is likely tied to the integrity of the left medial temporal lobe. This novel finding provides the first neuroimaging evidence for the role of the hippocampus during repetitive exposure to lyrics and melodies and their integration into a song
Interdisciplinary perspectives on the development, integration and application of cognitive ontologies
We discuss recent progress in the development of cognitive ontologies and summarize three challenges in the coordinated development and application of these resources. Challenge 1 is to adopt a standardized definition for cognitive processes. We describe three possibilities and recommend one that is consistent with the standard view in cognitive and biomedical sciences. Challenge 2 is harmonization. Gaps and conflicts in representation must be resolved so that these resources can be combined for mark-up and interpretation of multi-modal data. Finally, Challenge 3 is to test the utility of these resources for large-scale annotation of data, search and query, and knowledge discovery and integration. As term definitions are tested and revised, harmonization should enable coordinated updates across ontologies. However, the true test of these definitions will be in their community-wide adoption which will test whether they support valid inferences about psychological and neuroscientific data
Reducing bias in auditory duration reproduction by integrating the reproduced signal
Duration estimation is known to be far from veridical and to differ for sensory estimates and motor reproduction. To investigate how these differential estimates are integrated for estimating or reproducing a duration and to examine sensorimotor biases in duration comparison and reproduction tasks, we compared estimation biases and variances among three different duration estimation tasks: perceptual comparison, motor reproduction, and auditory reproduction (i.e. a combined perceptual-motor task). We found consistent overestimation in both motor and perceptual-motor auditory reproduction tasks, and the least overestimation in the comparison task. More interestingly, compared to pure motor reproduction, the overestimation bias was reduced in the auditory reproduction task, due to the additional reproduced auditory signal. We further manipulated the signal-to-noise ratio (SNR) in the feedback/comparison tones to examine the changes in estimation biases and variances. Considering perceptual and motor biases as two independent components, we applied the reliability-based model, which successfully predicted the biases in auditory reproduction. Our findings thus provide behavioral evidence of how the brain combines motor and perceptual information together to reduce duration estimation biases and improve estimation reliability
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