15,794 research outputs found
Entangled Wavefunctions from Classical Oscillator Amplitudes
In the first days of quantum mechanics Dirac pointed out an analogy between
the time-dependent coefficients of an expansion of the Schr\"odinger equation
and the classical position and momentum variables solving Hamilton's equations.
Here it is shown that the analogy can be made an equivalence in that, in
principle, systems of classical oscillators can be constructed whose position
and momenta variables form time-dependent amplitudes which are identical to the
complex quantum amplitudes of the coupled wavefunction of an N-level quantum
system with real coupling matrix elements. Hence classical motion can reproduce
quantum coherence.Comment: extended versio
The visual binary AG Tri in Pictoris Association: can a debris disc cause very different rotation periods of its components?
We measure the photometric rotation periods of the components of multiple
systems in young stellar associations to investigate the causes of the observed
rotation period dispersion. We present the case of the wide binary AG Tri in
the 23-Myr young beta Pictoris Association consisting of K4 + M1 dwarfs. Our
multi-band, multi-season photometric monitoring allowed us to measure the
rotation periods of both components P_A = 12.4d and P_B = 4.66d, to detect a
prominent magnetic activity in the photosphere, likely responsible for the
measured radial velocity variations, and for the first time, a flare event on
the M1 component AG Tri B. We investigate either the possibility that the
faster rotating component may have suffered an enhanced primordial disc
dispersal, starting its PMS spin-up earlier than the slower rotating component,
or the possibility that the formation of a debris disc may have prevented AG
Tri A from gaining part of the angular momentum from the accreting disc.Comment: 28 pages, 7 figures, accepted for publication in Astrophysics and
Space Science 2015, (ASTR-D-15-00445R2
A Framework for Psychophysiological Classification within a Cultural Heritage Context Using Interest
This article presents a psychophysiological construct of interest as a knowledge emotion and illustrates the importance of interest detection in a cultural heritage context. The objective of this work is to measure and classify psychophysiological reactivity in response to cultural heritage material presented as visual and audio. We present a data processing and classification framework for the classification of interest. Two studies are reported, adopting a subject-dependent approach to classify psychophysiological signals using mobile physiological sensors and the support vector machine learning algorithm. The results show that it is possible to reliably infer a state of interest from cultural heritage material using psychophysiological feature data and a machine learning approach, informing future work for the development of a real-time physiological computing system for use within an adaptive cultural heritage experience designed to adapt
the provision of information to sustain the interest of the visitor
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