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The new matrix element generator AMEGIC++ is introduced, dedicated to describe multi–particle production in high energy particle collisions. It automatically generates helicity amplitudes for the processes under consideration and constructs suitable, efficient integration channels for the multi–channel phase space integration. The corresponding expressions(More)
We propose a method for combining QCD matrix elements and parton showers in Monte Carlo simulations of hadronic final states in e + e − annihilation. The matrix element and parton shower domains are separated at some value y ini of the jet resolution, defined according to the k T-clustering algorithm. The matrix elements are modified by Sudakov form factors(More)
For autonomously acting robots and driver assistance systems powerful optical stereo sensor systems are required. Object positions and environmental conditions have to be acquired in real-time. In this paper an algorithm based on a hardware-software co-design is applied. A depth-map is generated with a hierarchical detection method. A depth-histogram is(More)
File transfer is very common in a modern distributed computing environment. Protocols such as HTTP and FTP are designed for downloading or uploading files from/to servers. Some other tools such as 'secure copy' are used to transfer files among hosts securely. In this paper, the file transfer is considered in the context of connecting distributed(More)
APACIC++ is a Monte–Carlo event–generator dedicated for the simulation of electron–positron annihilations into jets. Within the framework of APACIC++ , the emergence of jets is identified with the perturbative production of partons as governed by corresponding matrix elements. In addition to the build–in matrix elements describing the production of two and(More)
Grid computing provides a very rich environment for scientific calculations. In addition to the challenges it provides, it also offers new opportunities for optimization. In this paper we have utilized DFS (distributed file streaming) framework to speed up NAS grid benchmark workflows. By studying I/O patterns of NGB codes we have identified program(More)
1. ABSTRACT Recently, we presented a radically new class of fast adaptation techniques for speech recognition, based on prior knowledge of speaker variation. To obtain this prior knowledge, one applies a dimensionality reduction technique to T vectors of dimension D derived from T speaker-dependent (SD) models. This offline step yields T basis vectors, the(More)
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