30 research outputs found
Closed circuits : kinship, neighborhood and incarceration in urban Portugal
The notion that prisons are a âworld apartâ, with their
walls severing prisoners from their external relationships, and
incarceration an interruption, âtime awayâ spent in a separate social
universe, has provided an adequate framework for understanding the
social realities of imprisonment in the past. But it has also created an
analytical dead angle that prevents us from identifying the ramifying
social effects of concentrated incarceration upon both the prison and
heavily penalized lower-class neighborhoods. This article addresses these
effects with data from an ethnographic revisit of a major womenâs prison
in Portugal, where the recomposition of the inmate population that has
accompanied the rapid inflation of the countryâs carceral population is
especially pronounced and entails the activation of wide-ranging
carceralized networks bringing kinship and neighborhood into the prison
as well as the prison into the domestic world. The analysis focuses on the
ways whereby these constellations have transformed the experience of
confinement and the texture of correctional life, calling for a
reconsideration of the theoretical status of the prison as a âtotal
institutionâ and for exploring anew the boundary that separates it (or not)
from outside worlds.Wenner-Gren Foundation for Anthropological Research
Genetic divergence between genotypes of forage peanut in relation to agronomic and chemical traits
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