845 research outputs found
Experimental Investigation of a Rubidium-Argon Dual Species Magneto-Optical Trap
The first simultaneous cooling and confinement of two different atomic species from opposite sides of the periodic table in a dual magneto optical trap (DMOT) has been accomplished. The alkali-metal 85Rb and the noble gas 40Ar* have been simultaneously confined, characterized, and interspecies interaction parameters have been measured. The DMOT confined 1.2 × 106 85Rb atoms at a density of 1 × 1010/cm3 and 1.4 × 106 40Ar* atoms with a density of 1.2 × 1010/cm3. A collisional loss rate coefficient for Rb-Ar* has been determined to be γRb-Ar, = (4.8 ± 1.6) × 10−11cm3/s. A typical reduction of 3% of the florescence of the trapped 85Rb was observed when the 40Ar* trap was present. The loss of atoms from the dual trap is presumed to be caused by radiative escape and ionization losses, for an 40Ar* MOT it is due to Penning and associative ionization losses. An Ar* PI/AI ionization ratio of 6.7 ± 3.6 was determined, which makes the Penning ionization rate the dominant loss mechanism. The ionization rate was obtained with a SRS RGA200 mass spectrum analyzer specifically modified to work in conjunction with an ion optical field plate setup to collect the ions expelled from the MOT. The 85Rb was trapped with a 780 nm diode laser while the 40Ar* was slowed and trapped with a 811 nm Ti:sapphire laser, which was specifically modified to be locked to within 1 MHz of the atomic transition with a linewidth of ∼1 MHz. The metastable state 40Ar* was produced with a rf driven resonating cavity discharge which produced an atomic beam with an angular flux density of 4 × 1014 atoms s−1 sr−1
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Semantics and Execution of Domain Specific Models
In this paper we present a two-level approach to extend the abstract syntax of models with concrete semantics. First, a light-weight execution interface for iteratable models with a generic user interface allows the tool smith to provide arbitrary execution and visualization engine implementations for his or her Domain Specific Modeling Language (DSML). We discuss how the common execution manager runtime allows co-simulations of different model types and engine implementations to provide a flexible framework in the diverse DSML scenery. Second, as a concrete but nevertheless generic implementation of a simulation engine for behavior models, we present semantic model specifications and a runtime interfacing to the Ptolemy II tool suite. As a project in the area of model simulation, the latter provides a mature sophisticated and formally grounded backbone for model execution. We present our approach as an open source Eclipse integration to be an extension to the Eclipse modeling projects. After introducing basic concepts, the paper explains how simulations are currently being integrated into the framework and presents some illustrative case studies also covering UML approaches
Complementary Sensory and Associative Microcircuitry in Primary Olfactory Cortex
The three-layered primary olfactory (piriform) cortex is the largest component of the olfactory cortex. Sensory and intracortical inputs converge on principal cells in the anterior piriform cortex (aPC).Wecharacterize organization principles of the sensory and intracortical microcircuitry of layer II and III principal cells in acute slices of rat aPC using laser-scanning photostimulation and fast two-photon population Ca²⁺ imaging. Layer II and III principal cells are set up on a superficial-to-deep vertical axis. We found that the position on this axis correlates with input resistance and bursting behavior. These parameters scale with distinct patterns of incorporation into sensory and associative microcircuits, resulting in a converse gradient of sensory and intracortical inputs. In layer II, sensory circuits dominate superficial cells, whereas incorporation in intracortical circuits increases with depth. Layer III pyramidal cells receive more intracortical inputs than layer II pyramidal cells, but with an asymmetric dorsal offset. This microcircuit organization results in a diverse hybrid feedforward/recurrent network of neurons integrating varying ratios of intracortical and sensory input depending on a cell’s position on the superficial-to-deep vertical axis. Since burstiness of spiking correlates with both the cell’s location on this axis and its incorporation in intracortical microcircuitry, the neuronal output mode may encode a given cell’s involvement in sensory versus associative processing
Age-Related Decline in Brain Resources Modulates Genetic Effects on Cognitive Functioning
Individual differences in cognitive performance increase from early to late adulthood, likely reflecting influences of a multitude of factors. We hypothesize that losses in neurochemical and anatomical brain resources in normal aging modulate the effects of common genetic variations on cognitive functioning. Our hypothesis is based on the assumption that the function relating brain resources to cognition is nonlinear, so that genetic differences exert increasingly large effects on cognition as resources recede from high to medium levels in the course of aging. Direct empirical support for this hypothesis comes from a study by Nagel et al. (2008), who reported that the effects of the Catechol-O-Methyltransferase (COMT) gene on cognitive performance are magnified in old age and interacted with the Brain-Derived Neurotrophic Factor (BDNF) gene. We conclude that common genetic polymorphisms contribute to the increasing heterogeneity of cognitive functioning in old age. Extensions of the hypothesis to other polymorphisms are discussed. (150 of 150 words
Environment-assisted quantum transport in a 10-qubit network
The way in which energy is transported through an interacting system governs
fundamental properties in many areas of physics, chemistry, and biology.
Remarkably, environmental noise can enhance the transport, an effect known as
environment-assisted quantum transport (ENAQT). In this paper, we study ENAQT
in a network of coupled spins subject to engineered static disorder and
temporally varying dephasing noise. The interacting spin network is realized in
a chain of trapped atomic ions and energy transport is represented by the
transfer of electronic excitation between ions. With increasing noise strength,
we observe a crossover from coherent dynamics and Anderson localization to
ENAQT and finally a suppression of transport due to the quantum Zeno effect. We
found that in the regime where ENAQT is most effective the transport is mainly
diffusive, displaying coherences only at very short times. Further, we show
that dephasing characterized by non-Markovian noise can maintain coherences
longer than white noise dephasing, with a strong influence of the spectral
structure on the transport effciency. Our approach represents a controlled and
scalable way to investigate quantum transport in many-body networks under
static disorder and dynamic noise.Comment: Mai
Search for dark energy with neutron interferometry
We use previously obtained experimental results by neutron interferometry to
effectively constrain the parameter space of several prominent dark energy
models. This investigation encompasses the environment-dependent dilaton field,
a compelling contender for dark energy that emerges naturally within the strong
coupling limit of string theory, alongside symmetron and chameleon fields. Our
study presents substantial improvements over previous constraints of the
dilaton and symmetron fields, improving parameter constraints by several orders
of magnitude. However, the analysis does not yield any new constraints on the
chameleon field. Furthermore, we establish constraints for the projected
neutron split interferometer, which has recently concluded a decisive
proof-of-principle demonstration. Our symmetron simulations reveal that
depending on the parameter values there are multiple static solutions with
increasing number of nodes and increasing energy inside a cylindrical vacuum
chamber. This agrees with results obtained earlier in the literature for
infinitely parallel plates. Interestingly, while these multiple solutions can
correspond to domain walls forming inside the vacuum chamber, we also find
solutions that do not reach their vacuum expectation value inside the vacuum
chamber, but display multiple nodes nonetheless.Comment: 11 pages, 8 figure
Executing Domain-Specific Models in Eclipse: KLEPTO - KIELER leveraging Ptolemy
We present a two-level approach to extend the abstract syntax of domain-specific models with concrete semantics in order to execute such models. First, a light-weight execution infrastructure for executable models with a generic user interface allows the tool smith to provide arbitrary execution and visualisation engine implementations for a Domain-Specific Language (DSL). Second, as a concrete but nevertheless generic implementation of a simulation engine for behaviour models, we present semantic model specifications and a runtime interfacing to the Ptolemy II tool suite as a formally founded backbone for model execution. We present our approach as an open source extension to Eclipse modelling projects
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