529 research outputs found
Measurement of CP violation parameters in B-0 -> DK*(0) decays
An analysis of B-0 --> DK*(0) decays is presented, where D represents an admixture of D-0 and (D) over bar (0) mesons reconstructed in four separate final states: K-pi(+), pi K--(+), K+K- and pi(+)pi(-). The data sample corresponds to 3.0 fb(-1) of proton-proton collision, collected by the LHCb experiment. Measurements of several observables are performed, including CP asymmetries. The most precise determination is presented of r(B)(DK*(0)), the magnitude of the ratio of the amplitudes of the decay B-0 --> DK+pi(-) with a b --> u or a b --> c transition, in a K pi mass region of +/- 50 MeV/c(2) around the K*(892) mass and for an absolute value of the cosine of the K*(0) helicity angle larger than 0.4
Measurement of CP violation parameters in B-0 -> DK*(0) decays
An analysis of B-0 --> DK*(0) decays is presented, where D represents an admixture of D-0 and (D) over bar (0) mesons reconstructed in four separate final states: K-pi(+), pi K--(+), K+K- and pi(+)pi(-). The data sample corresponds to 3.0 fb(-1) of proton-proton collision, collected by the LHCb experiment. Measurements of several observables are performed, including CP asymmetries. The most precise determination is presented of r(B)(DK*(0)), the magnitude of the ratio of the amplitudes of the decay B-0 --> DK+pi(-) with a b --> u or a b --> c transition, in a K pi mass region of +/- 50 MeV/c(2) around the K*(892) mass and for an absolute value of the cosine of the K*(0) helicity angle larger than 0.4
Measurement of violation parameters in decays
An analysis of decays is presented, where represents an admixture of and mesons reconstructed in four separate final states: , , and . The data sample corresponds to of proton-proton collision, collected by the LHCb experiment. Measurements of several observables are performed, including asymmetries. The most precise determination is presented of , the magnitude of the ratio of the amplitudes of the decay with a or a transition, in a mass region of around the mass and for an absolute value of the cosine of the helicity angle larger than 0.4
An optical VLA on the Moon
Optical observations on the Earth must cope with the refractive disturbances of the atmosphere, perturbations by the day-to-night thermal cycle, vibrations induced by the wind, and the bending of the telescope by gravity. These all conspire to limit telescope performance. In particular, in trying to improve angular resolution, there seems to be a practical limit of the order of a few tenths of an arc-second for the realizable angular resolution of single-aperture telescopes, largely imposed by the atmosphere, although other structural limitations would appear as limits at one-tenth of an arc-second or so
The astrometric binary Mu Cas: Photographically almost resolved, and its implications on the primordial helium abundance
The Population 2 sub-dwarf star mu Cas was photographed, yielding elongated images from which the separation magnitude of the unseen component can be derived
Cellular distribution and amount of chromogranin A in bovine endocrine pancreas
We determined the cellular distribution and the amount of chromogranin A in endocrine cells of bovine pancreas using a polyclonal antibody against bovine adrenomedullary chromogranin A. The relative amounts of chromogranin A in the different cells of the endocrine pancreas were determined by computer-assisted analyses of the optical densities of the immunoreactivities in the stained sections. More than 80% of the immunoreactive chromogranin A was located in the pancreatic B-cells. In immunoblots of acid tissue extracts, only one chromogranin A band (MW 74 KD) was observed. Quantification of the immunoblots revealed that 3 micrograms of chromogranin A and 918 micrograms of insulin were present per gram pancreas (wet weight), equivalent to a molar ratio of 460 mumol chromogranin A per mol insulin
Modeling time table based tram traffic
In mid-sized cities, tram networks are major components of public service infrastructure. In those networks with their typically dense schedules, multiple lines share tracks and stations, resulting in a dynamic system behavior and mounting delays following even small disruptions. Robustness is an important factor to keep delays from spreading through the network and to minimize average delays.
This paper describes part of a project on simulation and optimization of tram schedules, namely the devel-opment and application of a simulation model representing a tram network and its assigned time table. We begin by describing the components of a tram network, which consist of physical and logical entities. These concepts are then integrated into a model of time table based tram traffic. We apply the resulting simulation software to our hometown Cologne's tram network and present some experimental results
Accelerating cell dynamic dynamic simulation for 3D diblock copolymer sphere morphology using GPU
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