4,540 research outputs found
Mechanical Design of Superconducting Accelerator Magnets
This paper is about the mechanical design of superconducting accelerator
magnets. First, we give a brief review of the basic concepts and terms. In the
following sections, we describe the particularities of the mechanical design of
different types of superconducting accelerator magnets: solenoids, cos-theta,
superferric, and toroids. Special attention is given to the pre-stress
principle, which aims to avoid the appearance of tensile stresses in the
superconducting coils. A case study on a compact superconducting cyclotron
summarizes the main steps and the guidelines that should be followed for a
proper mechanical design. Finally, we present some remarks on the measurement
techniques.Comment: Presented at the CERN Accelerator School CAS 2013: Superconductivity
for Accelerators, Erice, Italy, 24 April - 4 May 201
Cooperative Parrondo's Games
We introduce a new family of Parrondo's games of alternating losing
strategies in order to get a winning result. In our version of the games we
consider an ensemble of players and use "social" rules in which the
probabilities of the games are defined in terms of the actual state of the
neighbors of a given player.Comment: 4 pages (including 2 figures
On the nonextensivity of the long range X-Y model
It will be given analytical and numerical evidence supporting that the X-Y
model yields an extensive, i.e. proportional to the number of degrees of
freedom N, internal energy U for any value of the interaction range
What Level of Quality can Neural Machine Translation Attain on Literary Text?
Given the rise of a new approach to MT, Neural MT (NMT), and its promising
performance on different text types, we assess the translation quality it can
attain on what is perceived to be the greatest challenge for MT: literary text.
Specifically, we target novels, arguably the most popular type of literary
text. We build a literary-adapted NMT system for the English-to-Catalan
translation direction and evaluate it against a system pertaining to the
previous dominant paradigm in MT: statistical phrase-based MT (PBSMT). To this
end, for the first time we train MT systems, both NMT and PBSMT, on large
amounts of literary text (over 100 million words) and evaluate them on a set of
twelve widely known novels spanning from the the 1920s to the present day.
According to the BLEU automatic evaluation metric, NMT is significantly better
than PBSMT (p < 0.01) on all the novels considered. Overall, NMT results in a
11% relative improvement (3 points absolute) over PBSMT. A complementary human
evaluation on three of the books shows that between 17% and 34% of the
translations, depending on the book, produced by NMT (versus 8% and 20% with
PBSMT) are perceived by native speakers of the target language to be of
equivalent quality to translations produced by a professional human translator.Comment: Chapter for the forthcoming book "Translation Quality Assessment:
From Principles to Practice" (Springer
The noisy voter model under the influence of contrarians
The influence of contrarians on the noisy voter model is studied at the
mean-field level. The noisy voter model is a variant of the voter model where
agents can adopt two opinions, optimistic or pessimistic, and can change them
by means of an imitation (herding) and an intrinsic (noise) mechanisms. An
ensemble of noisy voters undergoes a finite-size phase transition, upon
increasing the relative importance of the noise to the herding, form a bimodal
phase where most of the agents shear the same opinion to a unimodal phase where
almost the same fraction of agent are in opposite states. By the inclusion of
contrarians we allow for some voters to adopt the opposite opinion of other
agents (anti-herding). We first consider the case of only contrarians and show
that the only possible steady state is the unimodal one. More generally, when
voters and contrarians are present, we show that the bimodal-unimodal
transition of the noisy voter model prevails only if the number of contrarians
in the system is smaller than four, and their characteristic rates are small
enough. For the number of contrarians bigger or equal to four, the voters and
the contrarians can be seen only in the unimodal phase. Moreover, if the number
of voters and contrarians, as well as the noise and herding rates, are of the
same order, then the probability functions of the steady state are very well
approximated by the Gaussian distribution
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