5,884 research outputs found
Geometric variations of the Boltzmann entropy
We perform a calculation of the first and second order infinitesimal
variations, with respect to energy, of the Boltzmann entropy of constant energy
hypersurfaces of a system with a finite number of degrees of freedom. We
comment on the stability interpretation of the second variation in this
framework.Comment: 9 pages, no figure
Bayesian inference for partially observed stochastic differential equations driven by fractional Brownian motion
We consider continuous-time diffusion models driven by fractional Brownian motion. Observations are assumed to possess a nontrivial likelihood given the latent path. Due to the non-Markovian and high-dimensional nature of the latent path, estimating posterior expectations is computationally challenging. We present a reparameterization framework based on the Davies and Harte method for sampling stationary Gaussian processes and use it to construct a Markov chain Monte Carlo algorithm that allows computationally efficient Bayesian inference. The algorithm is based on a version of hybrid Monte Carlo simulation that delivers increased efficiency when used on the high-dimensional latent variables arising in this context. We specify the methodology on a stochastic volatility model, allowing for memory in the volatility increments through a fractional specification. The method is demonstrated on simulated data and on the S&P 500/VIX time series. In the latter case, the posterior distribution favours values of the Hurst parameter smaller than 1/2 , pointing towards medium-range dependence
News Media Trust and News Consumption: Factors Related to Trust in News in 35 Countries
The changes in how people consume news and the emergence of digital and distributed news sources call for a reexamination of the relationship between news use and trust in news. Previous research had suggested that alternative news use is correlated with lower levels of trust in news, whereas mainstream news use is correlated with higher levels of trust in news. Our research, based on a survey of news users in 35 countries, shows that using either mainstream or alternative news sources is associated with higher levels of trust in news. However, we find that using social media as a main source of news is correlated with lower levels of trust in news. When looking at country effects, we find that systemic factors such as the levels of press freedom or the audience share of the public service broadcaster in a country are not significantly correlated with trust in news
The predictors of economic sophistication: media, interpersonal communication and negative economic experiences
In analogy to political sophistication, it is imperative that citizens have a certain level of economic sophistication, especially in times of heated debates about the economy. This study examines the impact of different influences (media, interpersonal communication and personal experiences) on learning effects about the economy. We conducted a national two-wave panel survey and a media content analysis in Denmark. Media effects were examined through integrating the results of the content analysis (in which articles were coded for the presence of the economic consequences frame) with the panel survey. Results showed that exposure to economic consequences frames in the media and interpersonal communication about the economy had a significant positive influence on learning about the economy. Having negative experiences with the economy exerts significant negative influence on learning. Interestingly, extensive interpersonal communication and negative experiences with the economy dampen media effects on learning about the economy. The study contributes to the literature on the cognitive effects of media and of interpersonal communication, as well as in media dependency theory
A stochastic derivation of the geodesic rule
We argue that the geodesic rule, for global defects, is a consequence of the
randomness of the values of the Goldstone field in each causally
connected volume. As these volumes collide and coalescence, evolves by
performing a random walk on the vacuum manifold . We derive a
Fokker-Planck equation that describes the continuum limit of this process. Its
fundamental solution is the heat kernel on , whose leading
asymptotic behavior establishes the geodesic rule.Comment: 12 pages, No figures. To be published in Int. Jour. Mod. Phys.
Prototyping and qualification of 2S modules for the CMS Outer Tracker upgrade at the HL-LHC
In preparation for the High Luminosity LHC, the entire tracker detector of
the CMS experiment will be exchanged as part of the Phase-2 Upgrade. The new
Outer Tracker will comprise approximately 13,000 silicon sensor modules, of
which 7608 are "2S modules" consisting of two parallel mounted silicon strip
sensors, and 5592 are "PS modules" consisting of one pixel and one strip sensor
in a single module. These modules provide tracking information to the Level 1
trigger by correlating the hit information of both sensor layers, allowing
discrimination of particle tracks by their transverse momentum. To guarantee
successful operation during data-taking, the production of the outer tracker
modules has to fulfill strict requirements. This note will discuss the assembly
procedures as well as some key results of the electronic, thermal and vibration
tests performed at CERN for qualifying the 2S module design and for preparing
the module assembly procedures
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