Highly-parallelized simulation of a pixelated LArTPC on a GPU

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

The DUNE far detector vertical drift technology. Technical design report

DUNE is an international experiment dedicated to addressing some of the questions at the forefront of particle physics and astrophysics, including the mystifying preponderance of matter over antimatter in the early universe. The dual-site experiment will employ an intense neutrino beam focused on a near and a far detector as it aims to determine the neutrino mass hierarchy and to make high-precision measurements of the PMNS matrix parameters, including the CP-violating phase. It will also stand ready to observe supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector implements liquid argon time-projection chamber (LArTPC) technology, and combines the many tens-of-kiloton fiducial mass necessary for rare event searches with the sub-centimeter spatial resolution required to image those events with high precision. The addition of a photon detection system enhances physics capabilities for all DUNE physics drivers and opens prospects for further physics explorations. Given its size, the far detector will be implemented as a set of modules, with LArTPC designs that differ from one another as newer technologies arise. In the vertical drift LArTPC design, a horizontal cathode bisects the detector, creating two stacked drift volumes in which ionization charges drift towards anodes at either the top or bottom. The anodes are composed of perforated PCB layers with conductive strips, enabling reconstruction in 3D. Light-trap-style photon detection modules are placed both on the cryostat's side walls and on the central cathode where they are optically powered. This Technical Design Report describes in detail the technical implementations of each subsystem of this LArTPC that, together with the other far detector modules and the near detector, will enable DUNE to achieve its physics goals

Infectious canine hepatitis in red foxes (Vulpes vulpes) in the United Kingdom

The pathological findings are described in three cases of infectious canine hepatitis in free-ranging red foxes (Vulpes vulpes) in England. The foxes died after short periods of clinical illness. Mild jaundice and hepatic congestion were evident grossly. On histopathological examination, intranuclear inclusion bodies were visible in hepatocytes, in association with hepatocyte dissociation and necrosis, as well as in renal glomeruli, renal tubular epithelial cells and vascular endothelial cells. Canine adenovirus type 1 (CAV-1) was isolated from all three foxes. in a serological study, antibodies to CAV-1 were detected in tissue fluid extracts taken from 11 of 58 (19 per cent) frozen red fox carcases from England and Scotlan

Foreign Direct Investment and Regional Economic Performance

Although foreign direct investment into developed economies continues to show dramatic growth, little consensus exists over either its national or regional impacts. The lack of empirical evidence, particularly on a sub-national level, adds to the uncertainty over the efficacy of regional development strategies focused on attracting foreign investment. The present research uses book value and employment measures of U.S. state-level FDI activity to assess the impact of foreign capital on regional growth and productivity performance. The results imply a vital role for FDI in stimulating regions within well-integrated, developed economies. Copyright 2005 Blackwell Publishing Ltd..