15,497 research outputs found
Heavy flavor production at HERA
Recent results of open charm and beauty production in electron proton
scattering at HERA are presented. In photoproduction, the measured cross
sections for charm exceed fixed order NLO QCD calculations. Experimental
evidence supports the hypothesis that a significant fraction of photoproduction
events with charm can be described by resolved photon processes, where the
charm quark is a constituent of the resolved photon. In deep inelastic
scattering the NLO calculations give in general a fairly reasonable description
of the observed charm cross sections. The measurements of the structure
function show that, at large photon virtualities and low x, the
events with charm constitute a major part of the total ep cross section. The
beauty cross sections both in photoproduction and in DIS exceed NLO
predictions.Comment: 6 pages, 9 figures in eps, talk given at XXXI International Symposium
on Multiparticle Dynamics, Sept 1-7, 2001, Datong China. URL
http://ismd31.ccnu.edu.cn
Radiation Hardness and Linearity Studies of CVD Diamonds
We report on the behavior of CVD diamonds under intense electromagnetic
radiation and on the response of the detector to high density of deposited
energy. Diamonds have been found to remain unaffected after doses of 10 MGy of
MeV-range photons and the diamond response to energy depositions of up to 250
GeV/cm^3 has been found to be linear to better than 2 %. These observations
make diamond an attractive detector material for a calorimeter in the very
forward region of the detector proposed for TESLA.Comment: 4 pages, 5 figures; Proceeding for the topical Seminar on Innovative
Particle and Radiation Detectors Siena, 21-24 October 2002; to appear in
Nucl.Phys. B (Proceedings Supplement
Online Visual Robot Tracking and Identification using Deep LSTM Networks
Collaborative robots working on a common task are necessary for many
applications. One of the challenges for achieving collaboration in a team of
robots is mutual tracking and identification. We present a novel pipeline for
online visionbased detection, tracking and identification of robots with a
known and identical appearance. Our method runs in realtime on the limited
hardware of the observer robot. Unlike previous works addressing robot tracking
and identification, we use a data-driven approach based on recurrent neural
networks to learn relations between sequential inputs and outputs. We formulate
the data association problem as multiple classification problems. A deep LSTM
network was trained on a simulated dataset and fine-tuned on small set of real
data. Experiments on two challenging datasets, one synthetic and one real,
which include long-term occlusions, show promising results.Comment: IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS), Vancouver, Canada, 2017. IROS RoboCup Best Paper Awar
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