15,409 research outputs found
A prototype liquid Argon Time Projection Chamber for the study of UV laser multi-photonic ionization
This paper describes the design, realization and operation of a prototype
liquid Argon Time Projection Chamber (LAr TPC) detector dedicated to the
development of a novel online monitoring and calibration system exploiting UV
laser beams. In particular, the system is intended to measure the lifetime of
the primary ionization in LAr, in turn related to the LAr purity level. This
technique could be exploited by present and next generation large mass LAr TPCs
for which monitoring of the performance and calibration plays an important
role. Results from the first measurements are presented together with some
considerations and outlook.Comment: 26 pages, 27 figure
MGSim - Simulation tools for multi-core processor architectures
MGSim is an open source discrete event simulator for on-chip hardware
components, developed at the University of Amsterdam. It is intended to be a
research and teaching vehicle to study the fine-grained hardware/software
interactions on many-core and hardware multithreaded processors. It includes
support for core models with different instruction sets, a configurable
multi-core interconnect, multiple configurable cache and memory models, a
dedicated I/O subsystem, and comprehensive monitoring and interaction
facilities. The default model configuration shipped with MGSim implements
Microgrids, a many-core architecture with hardware concurrency management.
MGSim is furthermore written mostly in C++ and uses object classes to represent
chip components. It is optimized for architecture models that can be described
as process networks.Comment: 33 pages, 22 figures, 4 listings, 2 table
Using XDAQ in Application Scenarios of the CMS Experiment
XDAQ is a generic data acquisition software environment that emerged from a
rich set of of use-cases encountered in the CMS experiment. They cover not the
deployment for multiple sub-detectors and the operation of different processing
and networking equipment as well as a distributed collaboration of users with
different needs. The use of the software in various application scenarios
demonstrated the viability of the approach. We discuss two applications, the
tracker local DAQ system for front-end commissioning and the muon chamber
validation system. The description is completed by a brief overview of XDAQ.Comment: Conference CHEP 2003 (Computing in High Energy and Nuclear Physics,
La Jolla, CA
Belle II Technical Design Report
The Belle detector at the KEKB electron-positron collider has collected
almost 1 billion Y(4S) events in its decade of operation. Super-KEKB, an
upgrade of KEKB is under construction, to increase the luminosity by two orders
of magnitude during a three-year shutdown, with an ultimate goal of 8E35 /cm^2
/s luminosity. To exploit the increased luminosity, an upgrade of the Belle
detector has been proposed. A new international collaboration Belle-II, is
being formed. The Technical Design Report presents physics motivation, basic
methods of the accelerator upgrade, as well as key improvements of the
detector.Comment: Edited by: Z. Dole\v{z}al and S. Un
Scaling a convolutional neural network based Flower counting application in a distributed GPU cluster
Taking advantage of modern data acquisition techniques, the researchers of P2IRC located at the University of Saskatchewan developed an application to monitor the status of the flower growth during different phases of the blooming period and the yield prediction of canola crops. Though the application could predict the near accurate number of flowers in a few scenarios, its inability to function under challenging situations such as misinterpreting sun reflection or dust along the roadside as flowers have motivated the researchers to find an alternative approach of counting flowers. In addition to being a more accurate version, another goal is for the new application to be faster to infer the number of flowers and scalable in distributed environments.
Putting these goals in mind, in this thesis, a Convolutional neural network (CNN) based flower counting application is developed and evaluated taking inspiration from two other previous works where CNN was used for counting heads in dense crowds and predicting the number of bacterial cells from medical imagery. In addition to that, the application addresses the performance and the accuracy goals previously mentioned. Two challenges of using the neural network are (a) the training needs a large volume of data to converge to a low error and (b) the training is computationally expensive and it takes longer time to complete.
To address the first challenge, experiments were run with both "ground truth" estimated using a modified version of the previous flower counter, and ground truth from manual annotation. To address the problem of long training time, two distributed versions of the proposed application were created based on two different distributed architectures called Parameter Server and Ring-AllReduce. Moreover, a detailed explanation of the proposed CNN's architecture along with its memory footprints and GPU utilization is also organized as an in-depth case study to help trace the model's memory consumption during training.
From different sets of experiments, the new flower counter application is observed more accurate than its previous version and both implementations of its distributed versions successfully reduced the total completion time as a result of being linearly scalable when more workers are added to run the training. The Ring-AllReduce version performed slightly better than the Parameter Server, but the differences were not substantial
Infrastructure for Detector Research and Development towards the International Linear Collider
The EUDET-project was launched to create an infrastructure for developing and
testing new and advanced detector technologies to be used at a future linear
collider. The aim was to make possible experimentation and analysis of data for
institutes, which otherwise could not be realized due to lack of resources. The
infrastructure comprised an analysis and software network, and instrumentation
infrastructures for tracking detectors as well as for calorimetry.Comment: 54 pages, 48 picture
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Grazing to Gravy: Faunal Remains and Indications of GenĂzaro Foodways on the Spanish Colonial Frontier of New Mexico
Understanding identity aspects of those labeled GenĂzaro during the late Spanish Colonial period of New Mexico benefits from finer-grained perspectives on what ranges and mixtures of practices persons bearing this casta designation may have performed while preparing cuisine. Materials from the northern frontier site of Casitas Viejas (LA 917) suggest that the closely related households of this fortified plaza may have departed from the less expansive culinary practices of colonial elites while drawing from their multiple social relationships at the various stages of production and consumption of foods. In other words, at different temporal and spatial scales, behaviors reflected in the material record refute historical notions about a creolized community that tried to diminish identity difference within the village. The goal of this work is to explore through the study of faunal remains some of the relationships between foodways and cultural identity in a manner that might assist in some disentangling of the sticky problems archaeologists face in interpreting traces of dynamic past situations of identity from a static material record recovered today
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