3,427 research outputs found

    Time evolution for quantum systems at finite temperature

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    This paper investigates a new formalism to describe real time evolution of quantum systems at finite temperature. A time correlation function among subsystems will be derived which allows for a probabilistic interpretation. Our derivation is non-perturbative and fully quantized. Various numerical methods used to compute the needed path integrals in complex time were tested and their effectiveness was compared. For checking the formalism we used the harmonic oscillator where the numerical results could be compared with exact solutions. Interesting results were also obtained for a system that presents tunneling. A ring of coupled oscillators was treated in order to try to check selfconsistency in the thermodynamic limit. The short time distribution seems to propagate causally in the relativistic case. Our formalism can be extended easily to field theories where it remains to be seen if relevant models will be computable.Comment: uuencoded, 14 pp in Latex, 8 ps Fig

    Negative-Energy Spinors and the Fock Space of Lattice Fermions at Finite Chemical Potential

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    Recently it was suggested that the problem of species doubling with Kogut-Susskind lattice fermions entails, at finite chemical potential, a confusion of particles with antiparticles. What happens instead is that the familiar correspondence of positive-energy spinors to particles, and of negative-energy spinors to antiparticles, ceases to hold for the Kogut-Susskind time derivative. To show this we highlight the role of the spinorial ``energy'' in the Osterwalder-Schrader reconstruction of the Fock space of non-interacting lattice fermions at zero temperature and nonzero chemical potential. We consider Kogut-Susskind fermions and, for comparison, fermions with an asymmetric one-step time derivative.Comment: 14p

    Parallel Metric Tree Embedding based on an Algebraic View on Moore-Bellman-Ford

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    A \emph{metric tree embedding} of expected \emph{stretch~α1\alpha \geq 1} maps a weighted nn-node graph G=(V,E,ω)G = (V, E, \omega) to a weighted tree T=(VT,ET,ωT)T = (V_T, E_T, \omega_T) with VVTV \subseteq V_T such that, for all v,wVv,w \in V, dist(v,w,G)dist(v,w,T)\operatorname{dist}(v, w, G) \leq \operatorname{dist}(v, w, T) and operatornameE[dist(v,w,T)]αdist(v,w,G)operatorname{E}[\operatorname{dist}(v, w, T)] \leq \alpha \operatorname{dist}(v, w, G). Such embeddings are highly useful for designing fast approximation algorithms, as many hard problems are easy to solve on tree instances. However, to date the best parallel (polylogn)(\operatorname{polylog} n)-depth algorithm that achieves an asymptotically optimal expected stretch of αO(logn)\alpha \in \operatorname{O}(\log n) requires Ω(n2)\operatorname{\Omega}(n^2) work and a metric as input. In this paper, we show how to achieve the same guarantees using polylogn\operatorname{polylog} n depth and O~(m1+ϵ)\operatorname{\tilde{O}}(m^{1+\epsilon}) work, where m=Em = |E| and ϵ>0\epsilon > 0 is an arbitrarily small constant. Moreover, one may further reduce the work to O~(m+n1+ϵ)\operatorname{\tilde{O}}(m + n^{1+\epsilon}) at the expense of increasing the expected stretch to O(ϵ1logn)\operatorname{O}(\epsilon^{-1} \log n). Our main tool in deriving these parallel algorithms is an algebraic characterization of a generalization of the classic Moore-Bellman-Ford algorithm. We consider this framework, which subsumes a variety of previous "Moore-Bellman-Ford-like" algorithms, to be of independent interest and discuss it in depth. In our tree embedding algorithm, we leverage it for providing efficient query access to an approximate metric that allows sampling the tree using polylogn\operatorname{polylog} n depth and O~(m)\operatorname{\tilde{O}}(m) work. We illustrate the generality and versatility of our techniques by various examples and a number of additional results

    The signature of dissipation in the mass-size relation: are bulges simply spheroids wrapped in a disc?

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    The relation between the stellar mass and size of a galaxy's structural subcomponents, such as discs and spheroids, is a powerful way to understand the processes involved in their formation. Using very large catalogues of photometric bulge+disc structural decompositions and stellar masses from the Sloan Digital Sky Survey Data Release Seven, we carefully define two large subsamples of spheroids in a quantitative manner such that both samples share similar characteristics with one important exception: the 'bulges' are embedded in a disc and the 'pure spheroids' are galaxies with a single structural component. Our bulge and pure spheroid subsample sizes are 76,012 and 171,243 respectively. Above a stellar mass of ~101010^{10} M_{\odot}, the mass-size relations of both subsamples are parallel to one another and are close to lines of constant surface mass density. However, the relations are offset by a factor of 1.4, which may be explained by the dominance of dissipation in their formation processes. Whereas the size-mass relation of bulges in discs is consistent with gas-rich mergers, pure spheroids appear to have been formed via a combination of 'dry' and 'wet' mergers.Comment: Accepted for publication in MNRAS, 6 pages, 3 figure

    Applications of artificial intelligence techniques to a spacecraft control problem

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    Artificial intelligence applied to spacecraft control proble

    Galaxy pairs in the SDSS - XIII. The connection between enhanced star formation and molecular gas properties in galaxy mergers.

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    This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society © 2018 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.We investigate the connection between star formation and molecular gas properties in galaxy mergers at low redshift (z ≤ 0.06). The study we present is based on IRAM 30-m CO(1-0) observations of 11 galaxies with a close companion selected from the Sloan Digital Sky Survey (SDSS). The pairs have mass ratios ≤4, projected separations r p ≤ 30 kpc and velocity separations ΔV ≤ 300 km s -1, and have been selected to exhibit enhanced specific star formation rates (sSFRs). We calculate molecular gas (H 2) masses, assigning to each galaxy a physically motivated conversion factor αCO, and we derive molecular gas fractions and depletion times. We compare these quantities with those of isolated galaxies from the extended CO Legacy Data base for the GALEX Arecibo SDSS Survey sample (xCOLDGASS; Saintonge et al.) with gas quantities computed in an identical way. Ours is the first study which directly compares the gas properties of galaxy pairs and those of a control sample of normal galaxies with rigorous control procedures and for which SFR and H 2 masses have been estimated using the same method. We find that the galaxy pairs have shorter depletion times and an average molecular gas fraction enhancement of 0.4 dex compared to the mass matched control sample drawn from xCOLDGASS. However, the gas masses (and fractions) in galaxy pairs and their depletion times are consistent with those of non-mergers whose SFRs are similarly elevated. We conclude that both external interactions and internal processes may lead to molecular gas enhancement and decreased depletion times.Peer reviewe
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