880 research outputs found
Bose-Einstein Condensation on the Surface of a Sphere
Motivated by the recent achievement of space-based Bose-Einstein condensates
(BEC) with ultracold alkali-metal atoms under microgravity and by the proposal
of bubble traps which confine atoms on a thin shell, we investigate the BEC
thermodynamics on the surface of a sphere. We determine analytically the
critical temperature and the condensate fraction of a noninteracting Bose gas.
Then we consider the inclusion of a zero-range interatomic potential, extending
the noninteracting results at zero and finite temperature. Both in the
noninteracting and interacting cases the crucial role of the finite radius of
the sphere is emphasized, showing that in the limit of infinite radius one
recovers the familiar two-dimensional results. We also investigate the
Berezinski-Kosterlitz-Thouless transition driven by vortical configurations on
the surface of the sphere, analyzing the interplay of condensation and
superfluidity in this finite-size system.Comment: 6 pages, 2 figure
Condensation and superfluidity of dilute Bose gases with finite-range interaction
We investigate an ultracold and dilute Bose gas by taking into account a
finite-range two-body interaction. The coupling constants of the resulting
Lagrangian density are related to measurable scattering parameters by following
the effective-field-theory approach. A perturbative scheme is then developed up
to the Gaussian level, where both quantum and thermal fluctuations are
crucially affected by finite-range corrections. In particular, the relation
between spontaneous symmetry breaking and the onset of superfluidity is
emphasized by recovering the renowned Landau's equation for the superfluid
density in terms of the condensate one.Comment: 18 pages, 4 figures, invited contribution to New Journal of Physics
Focus Issue on Quantum Transport in Ultracold Atom
Low-dimensional quantum gases in curved geometries
Atomic gases confined in curved geometries display distinctive features that
are absent in their flat counterparts, such as periodic boundaries, local
curvature, and nontrivial topologies. The recent experiments with shell-shaped
quantum gases and the study of one dimensional rings point out that the
manifold of a quantum gas could soon become a controllable feature, thus
allowing to address the fundamental study of curved many-body quantum systems.
Here, we review the main geometries realized in the experiments, analyzing the
theoretical and experimental status on their phase transitions and on the
superfluid dynamics. In perspective, we delineate the study of vortices, the
few-body physics, and the search for analog models in various curved geometries
as the most promising research areas.Comment: 10 pages, 3 figures; pre peer-review version; the final version will
be published soon in Nature Reviews Physic
Quantum Bubbles in Microgravity
The recent developments of microgravity experiments with ultracold atoms have
produced a relevant boost in the study of shell-shaped ellipsoidal
Bose-Einstein condensates. For realistic bubble-trap parameters, here we
calculate the critical temperature of Bose-Einstein condensation, which, if
compared to the one of the bare harmonic trap with the same frequencies, shows
a strong reduction. We simulate the zero-temperature density distribution with
the Gross-Pitaevskii equation, and we study the free expansion of the hollow
condensate. While part of the atoms expands in the outward direction, the
condensate self-interferes inside the bubble trap, filling the hole in
experimentally observable times. For a mesoscopic number of particles in a
strongly interacting regime, for which more refined approaches are needed, we
employ quantum Monte Carlo simulations, proving that the nontrivial topology of
a thin shell allows superfluidity. Our work constitutes a reliable benchmark
for the forthcoming scientific investigations with bubble traps.Comment: 7 pages, 7 figures; published versio
Propagation of first and second sound in a two-dimensional Fermi superfluid
Sound propagation is a macroscopic manifestation of the interplay between the
equilibrium thermodynamics and the dynamical transport properties of fluids.
Here, for a two-dimensional system of ultracold fermions, we calculate the
first and second sound velocities across the whole BCS-BEC crossover and we
analyze the system response to an external perturbation. In the low-temperature
regime we reproduce the recent measurements [Phys Rev. Lett. {\bf 124}, 240403
(2020)] of the first sound velocity, which, due to the decoupling of density
and entropy fluctuations, is the sole mode excited by a density probe.
Conversely, a heat perturbation excites only the second sound, which, being
sensitive to the superfluid depletion, vanishes in the deep BCS regime, and
jumps discontinuously to zero at the Berezinskii-Kosterlitz-Thouless superfluid
transition. A mixing between the modes occurs only in the finite-temperature
BEC regime, where our theory converges to the purely bosonic results.Comment: 6 pages, 3 figures; published version, correction of journal
referenc
Self-binding of one-dimensional fermionic mixtures with zero-range interspecies attraction
For sufficiently large mass ratios the attractive exchange force caused by a
single light atom interacting with a few heavy identical fermions can overcome
their Fermi degeneracy pressure and bind them into an cluster. Here, by
using a mean-field approach valid for large , we find that clusters
can attract each other and form a self-bound charge density wave, the
properties of which we fully characterize. Our work shows that there are no
fundamental obstacles for having self-bound states in fermionic mixtures with
zero-range interactions.Comment: 11 pages, 4 figure
A topological approach to neural complexity
Considerable efforts in modern statistical physics is devoted to the study of
networked systems. One of the most important example of them is the brain,
which creates and continuously develops complex networks of correlated
dynamics. An important quantity which captures fundamental aspects of brain
network organization is the neural complexity C(X)introduced by Tononi et al.
This work addresses the dependence of this measure on the topological features
of a network in the case of gaussian stationary process. Both anlytical and
numerical results show that the degree of complexity has a clear and simple
meaning from a topological point of view. Moreover the analytical result offers
a straightforward algorithm to compute the complexity than the standard one.Comment: 6 pages, 4 figure
Sleep, aging, and lifespan in Drosophila
<p>Abstract</p> <p>Background</p> <p>Epidemiological studies in humans suggest that a decrease in daily sleep duration is associated with reduced lifespan, but this issue remains controversial. Other studies in humans also show that both sleep quantity and sleep quality decrease with age. <it>Drosophila melanogaster </it>is a useful model to study aging and sleep, and inheriting mutations affecting the potassium current Shaker results in flies that sleep less and have a shorter lifespan. However, whether the link between short sleep and reduced longevity exists also in wild-type flies is unknown. Similarly, it is unknown whether such a link depends on sleep amount per se, rather than on other factors such as waking activity. Also, sleep quality has been shown to decrease in old flies, but it remains unclear whether aging-related sleep fragmentation is a generalized phenomenon.</p> <p>Results</p> <p>We compared 3 short sleeping mutant lines (<it>Hk</it><sup>1</sup>, <it>Hk</it><sup><it>Y </it></sup>and <it>Hk</it><sup>2</sup>) carrying a mutation in Hyperkinetic, which codes for the beta subunit of the Shaker channel, to wild-type siblings throughout their entire lifespan (all flies kept at 20°C). <it>Hk</it><sup>1 </sup>and <it>Hk</it><sup><it>Y </it></sup>mutants were short sleeping relative to wild-type controls from day 3 after eclosure, and <it>Hk</it><sup>2 </sup>flies became short sleepers about two weeks later. All 3 <it>Hk </it>mutant lines had reduced lifespan relative to wild-type flies. Total sleep time showed a trend to increase in all lines with age, but the effect was most pronounced in <it>Hk</it><sup>1 </sup>and <it>Hk</it><sup><it>Y </it></sup>flies. In both mutant and wild-type lines sleep quality did not decay with age, but the strong preference for sleep at night declined starting in "middle age". Using Cox regression analysis we found that in <it>Hk</it><sup>1 </sup>and <it>Hk</it><sup><it>Y </it></sup>mutants and their control lines there was a negative relationship between total sleep amount during the first 2 and 4 weeks of age and hazard (individual risk of death), while no association was found in <it>Hk</it><sup>2 </sup>flies and their wild-type controls. <it>Hk</it><sup>1 </sup>and <it>Hk</it><sup><it>Y </it></sup>mutants and their control lines also showed an association between total daily wake activity over the first 2 and 4 weeks of age and hazard. However, when both sleep duration and wake activity were used in the same regression, the effects of activity were much reduced, while most of the sleep effects remained significant. Finally, <it>Hk</it><sup>1 </sup>flies and wild-type siblings were also tested at 25°C, and results were similar to those at 20°C. Namely, <it>Hk</it><sup>1 </sup>mutants were short sleeping, hyperactive, and short lived relative to controls, and sleep quality in both groups did not decrease with age.</p> <p>Conclusions</p> <p>Different <it>Hk </it>mutations affect the sleep phenotype, and do so in an age-dependent manner. In 4 of the 6 lines tested sleep associates significantly with lifespan variation even after any effect of activity is removed, but activity does not associate significantly with lifespan after the effects of sleep are removed. Thus, in addition to environmental factors and genetic background, sleep may also affect longevity. Sleep quality does not necessarily decay as flies age, suggesting that aging-related sleep fragmentation may also depend on many factors, including genetic background and rearing conditions.</p
Complexity of multi-dimensional spontaneous EEG decreases during propofol induced general anaesthesia
Emerging neural theories of consciousness suggest a correlation between a specific type of neural dynamical complexity and the level of consciousness: When awake and aware, causal interactions between brain regions are both integrated (all regions are to a certain extent connected) and differentiated (there is inhomogeneity and variety in the interactions). In support of this, recent work by Casali et al (2013) has shown that Lempel-Ziv complexity correlates strongly with conscious level, when computed on the EEG response to transcranial magnetic stimulation. Here we investigated complexity of spontaneous high-density EEG data during propofol-induced general anaesthesia. We consider three distinct measures: (i) Lempel-Ziv complexity, which is derived from how compressible the data are; (ii) amplitude coalition entropy, which measures the variability in the constitution of the set of active channels; and (iii) the novel synchrony coalition entropy (SCE), which measures the variability in the constitution of the set of synchronous channels. After some simulations on Kuramoto oscillator models which demonstrate that these measures capture distinct ‘flavours’ of complexity, we show that there is a robustly measurable decrease in the complexity of spontaneous EEG during general anaesthesia
Cognition as Embodied Morphological Computation
Cognitive science is considered to be the study of mind (consciousness and thought) and intelligence in humans. Under such definition variety of unsolved/unsolvable problems appear. This article argues for a broad understanding of cognition based on empirical results from i.a. natural sciences, self-organization, artificial intelligence and artificial life, network science and neuroscience, that apart from the high level mental activities in humans, includes sub-symbolic and sub-conscious processes, such as emotions, recognizes cognition in other living beings as well as extended and distributed/social cognition. The new idea of cognition as complex multiscale phenomenon evolved in living organisms based on bodily structures that process information, linking cognitivists and EEEE (embodied, embedded, enactive, extended) cognition approaches with the idea of morphological computation (info-computational self-organisation) in cognizing agents, emerging in evolution through interactions of a (living/cognizing) agent with the environment
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