588 research outputs found
Beam Tests of a Multilayer LumiCal Prototype
LumiCal is a sampling electromagnetic calorimeter designed for the precise
measurement of integrated luminosity in electron positron linear collider
experiments. The present report contains a description and results of the first
beam test of a multilayer LumiCal prototype with four silicon detector planes.
A 5 GeV electron beam from the CERN PS T9 facility was used to study the
performance of the LumiCal prototype. Presented results are mainly focused on
the transverse structure of the observed electromagnetic shower and the
Moli\`ere radius measurement. A comparison with MC simulation is also
discussed.Comment: 9 pages, 8 figures, Talk presented at the International Workshop on
Future Linear Colliders (LCWS2016), Morioka, Japan, 5-9 December 201
Progress Report on an Ultra-compact LumiCal
A new design of a detector module of submillimeter thickness for an
electromagnetic calorimeter is presented. It is aimed to be used in the
luminometers LumiCal and BeamCal in future linear ee collider
experiments. The module prototypes were produced utilizing novel connectivity
schemes technologies. They are installed in a compact prototype of the
calorimeter and tested at DESY with an electron beam of 1 GeV 6 GeV. The
performance of eight detector modules and the possibility of electron and
photon identification is studied.Comment: 10 pages, 13 figures, Talk presented at the International Workshop on
Future Linear Colliders (LCWS2016), Morioka, Japa
The Dialogical Subgenres of Argument in British and Ukrainian Lexicographical Presentation: a Comparative Aspect
The thesis is devoted to the comparative study of the dialogical genre “argument” in the present-day British and Ukrainian language pictures of the world. This type of investigation has been the first so far in the field of comparative linguistics that deals with human communication. Argument is a widespread type of day-to-day communication, namely a kind of dialogue that finds its verbal conceptualization in English and Ukrainian. The general idea of argument can be formulated as an emotionally coloured verbal communication between partners who differ about something and try to convince each other in the righteousness of one’s position. Such a general scheme of argument interpretation is modified in the structures of ethnic languages. Thus, the terms argument and суперечка reflect the existing differences between two nations as for the type of interaction itself. The crucial difference is understanding of argument as a verbal exchange in British society and a verbal contest in Ukrainian one. One more allomorphic feature is that the British typically tend to get excited in argument, the fact reflected in the semantic components a heated or angry interaction. The next verbal specification argument gets in a number of its forms or subgenres. A closer comparative look at such kinds of argument as debates, polemics, dispute and discussion is suggested. The main differences and common features of the genres are established
Cross-correlation asymmetries and causal relationships between stock and market risk
We study historical correlations and lead-lag relationships between
individual stock risk (volatility of daily stock returns) and market risk
(volatility of daily returns of a market-representative portfolio) in the US
stock market. We consider the cross-correlation functions averaged over all
stocks, using 71 stock prices from the Standard \& Poor's 500 index for
1994--2013. We focus on the behavior of the cross-correlations at the times of
financial crises with significant jumps of market volatility. The observed
historical dynamics showed that the dependence between the risks was almost
linear during the US stock market downturn of 2002 and after the US housing
bubble in 2007, remaining on that level until 2013. Moreover, the averaged
cross-correlation function often had an asymmetric shape with respect to zero
lag in the periods of high correlation. We develop the analysis by the
application of the linear response formalism to study underlying causal
relations. The calculated response functions suggest the presence of
characteristic regimes near financial crashes, when the volatility of an
individual stock follows the market volatility and vice versa.Comment: 17 pages, 8 figures, 1 tabl
Scalable Population Synthesis with Deep Generative Modeling
Population synthesis is concerned with the generation of synthetic yet
realistic representations of populations. It is a fundamental problem in the
modeling of transport where the synthetic populations of micro-agents represent
a key input to most agent-based models. In this paper, a new methodological
framework for how to 'grow' pools of micro-agents is presented. The model
framework adopts a deep generative modeling approach from machine learning
based on a Variational Autoencoder (VAE). Compared to the previous population
synthesis approaches, including Iterative Proportional Fitting (IPF), Gibbs
sampling and traditional generative models such as Bayesian Networks or Hidden
Markov Models, the proposed method allows fitting the full joint distribution
for high dimensions. The proposed methodology is compared with a conventional
Gibbs sampler and a Bayesian Network by using a large-scale Danish trip diary.
It is shown that, while these two methods outperform the VAE in the
low-dimensional case, they both suffer from scalability issues when the number
of modeled attributes increases. It is also shown that the Gibbs sampler
essentially replicates the agents from the original sample when the required
conditional distributions are estimated as frequency tables. In contrast, the
VAE allows addressing the problem of sampling zeros by generating agents that
are virtually different from those in the original data but have similar
statistical properties. The presented approach can support agent-based modeling
at all levels by enabling richer synthetic populations with smaller zones and
more detailed individual characteristics.Comment: 27 pages, 15 figures, 4 table
Dynamic Calibration of Higher Eigenmode Parameters of a Cantilever in Atomic Force Microscopy Using Tip-Surface Interactions
We present a theoretical framework for the dynamic calibration of the higher
eigenmode parameters (stiffness and optical lever responsivity) of a
cantilever. The method is based on the tip-surface force reconstruction
technique and does not require any prior knowledge of the eigenmode shape or
the particular form of the tip-surface interaction. The calibration method
proposed requires a single-point force measurement using a multimodal drive and
its accuracy is independent of the unknown physical amplitude of a higher
eigenmode.Comment: 4 pages, 4 figure
Statistical field theories deformed within different calculi
Within framework of basic-deformed and finite-difference calculi, as well as
deformation procedures proposed by Tsallis, Abe, and Kaniadakis to be
generalized by Naudts, we develop field-theoretical schemes of statistically
distributed fields. We construct a set of generating functionals and find their
connection with corresponding correlators for basic-deformed,
finite-difference, and Kaniadakis calculi. Moreover, we introduce pair of
additive functionals, whose expansions into deformed series yield both Green
functions and their irreducible proper vertices. We find as well formal
equations, governing by the generating functionals of systems which possess a
symmetry with respect to a field variation and are subjected to an arbitrary
constrain. Finally, we generalize field-theoretical schemes inherent in
concrete calculi in the Naudts spirit.Comment: 12 pages, 3 figure
Towards Novel Organic High- Superconductors: Data Mining using Density of States Similarity Search
Identifying novel functional materials with desired key properties is an
important part of bridging the gap between fundamental research and
technological advancement. In this context, high-throughput calculations
combined with data-mining techniques highly accelerated this process in
different areas of research during the past years. The strength of a
data-driven approach for materials prediction lies in narrowing down the search
space of thousands of materials to a subset of prospective candidates.
Recently, the open-access organic materials database OMDB was released
providing electronic structure data for thousands of previously synthesized
three-dimensional organic crystals. Based on the OMDB, we report about the
implementation of a novel density of states similarity search tool which is
capable of retrieving materials with similar density of states to a reference
material. The tool is based on the approximate nearest neighbor algorithm as
implemented in the ANNOY library and can be applied via the OMDB web interface.
The approach presented here is wide-ranging and can be applied to various
problems where the density of states is responsible for certain key properties
of a material. As the first application, we report about materials exhibiting
electronic structure similarities to the aromatic hydrocarbon p-terphenyl which
was recently discussed as a potential organic high-temperature superconductor
exhibiting a transition temperature in the order of 120~K under strong
potassium doping. Although the mechanism driving the remarkable transition
temperature remains under debate, we argue that the density of states,
reflecting the electronic structure of a material, might serve as a crucial
ingredient for the observed high-. To provide candidates which
might exhibit comparable properties, we present 15 purely organic materials
with similar features to p-terphenyl...Comment: 7 pages, 4 figure
ЛІНГВАЛЬНІ ОСОБЛИВОСТІ БРИТАНСЬКОГО ТА УКРАЇНСЬКОГО ДІАЛОГІЧНОГО ДИСКУРСУ У ЧАТІ. (Linguistic peculiarities of the Britain and Ukrainian dialogic discourse in a chat.)
Статтю присвячено дослідженню лінгвальних особливостей чат-діалогу у британському та українському Інтернет-просторі. Виявлено відмінності впливу з використанням графічних, графіко-фонетичних, морфологічних, лексичних та синтактичних засобів мови та мовлення.
(The article is devoted to the study of the lingual peculiarities of a chat dialogue in the British and Ukrainian Internet space. The allomorphic features of impact through the usage of graphical, morphological, lexical, syntactical means of language and speech are revealed.
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