43 research outputs found

    US Cosmic Visions: New Ideas in Dark Matter 2017: Community Report

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    This white paper summarizes the workshop "U.S. Cosmic Visions: New Ideas in Dark Matter" held at University of Maryland on March 23-25, 2017

    Long-Baseline Neutrino Facility (LBNF) and Deep Underground Neutrino Experiment (DUNE) Conceptual Design Report Volume 2: The Physics Program for DUNE at LBNF

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    The Physics Program for the Deep Underground Neutrino Experiment (DUNE) at the Fermilab Long-Baseline Neutrino Facility (LBNF) is described

    Highly-parallelized simulation of a pixelated LArTPC on a GPU

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    The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype

    Aircraft Systems

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    Some Problems of Mathematical CAL

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    This paper describes briefly some problems of mathematical CAL and suggests ways to combat them. Within the context of the CALM Project for Computer Aided Learning in Mathematics we highlight three main areas of difficulty—mathematical display, input and evaluation. These problems are illustrated using examples from software developed at the Heriot-Watt University in Edinburgh and at Southampton University; the examples are taken from both calculus and algebra

    Further studies on the conformation of acetylcholine

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    The Calm before the storm! CAL in University Mathematics

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    A Computer Aided Learning project in Mathematics (the CALM Project) is based at the Heriot-Watt University in Edinburgh. It is one of the projects currently in receipt of funding from the Computer Board of the United Kingdom as part of the Computers in Teaching Initiative in British Universities.The CALM Project seeks to produce computer enhanced teaching packages which will back-up the conventional teaching of Calculus to large groups of first year engineering undergraduates at a typical Scottish University. The project has been underway for just over one year and some of the software prepared by the CALM team has been tested by one section of the class. During this testing period we have embarked on a formative evaluation of the software and of its impact on student learning practices.In this article the writers present an outline of the evaluation procedure. In addition, details are given of the software tools used to produce the CALM programs
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