2,393 research outputs found

    Asymptotic Steady State Solution to a Bow Shock with an Infinite Mach Number

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    The problem of a cold gas flowing past a stationary object is considered. It is shown that at large distances from the obstacle the shock front forms a parabolic solid of revolution. The interior of the shock front is obtained by solution of the hydrodynamic equations in parabolic coordinates. The results are verified with a hydrodynamic simulation. The drag force and expected spectra are calculated for such shock, both in case of an optically thin and thick media. Finally, relations to astrophysical bow shocks and other analytic works on oblique shocks are discussed

    Binary versus non-binary information in real time series: empirical results and maximum-entropy matrix models

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    The dynamics of complex systems, from financial markets to the brain, can be monitored in terms of multiple time series of activity of the constituent units, such as stocks or neurons respectively. While the main focus of time series analysis is on the magnitude of temporal increments, a significant piece of information is encoded into the binary projection (i.e. the sign) of such increments. In this paper we provide further evidence of this by showing strong nonlinear relations between binary and non-binary properties of financial time series. These relations are a novel quantification of the fact that extreme price increments occur more often when most stocks move in the same direction. We then introduce an information-theoretic approach to the analysis of the binary signature of single and multiple time series. Through the definition of maximum-entropy ensembles of binary matrices and their mapping to spin models in statistical physics, we quantify the information encoded into the simplest binary properties of real time series and identify the most informative property given a set of measurements. Our formalism is able to accurately replicate, and mathematically characterize, the observed binary/non-binary relations. We also obtain a phase diagram allowing us to identify, based only on the instantaneous aggregate return of a set of multiple time series, a regime where the so-called `market mode' has an optimal interpretation in terms of collective (endogenous) effects, a regime where it is parsimoniously explained by pure noise, and a regime where it can be regarded as a combination of endogenous and exogenous factors. Our approach allows us to connect spin models, simple stochastic processes, and ensembles of time series inferred from partial information

    Atmospheric Mass Loss During Planet Formation: The Importance of Planetesimal Impacts

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    We quantify the atmospheric mass loss during planet formation by examining the contributions to atmospheric loss from both giant impacts and planetesimal accretion. Giant impacts cause global motion of the ground. Using analytic self-similar solutions and full numerical integrations we find (for isothermal atmospheres with adiabatic index (Ξ³=5/3\gamma=5/3) that the local atmospheric mass loss fraction for ground velocities vg<0.25vescv_g < 0.25 v_{esc} is given by Ο‡loss=(1.71vg/vesc)4.9\chi_{loss}=(1.71 v_g/v_{esc})^{4.9}, where vescv_{esc} is the escape velocity from the target. Yet, the global atmospheric mass loss is a weaker function of the impactor velocity vImpv_{Imp} and mass mImpm_{Imp} and given by XlossΒ 0.4x+1.4x2βˆ’0.8x3X_{loss} ~ 0.4x+1.4x^2-0.8x^3 (isothermal atmosphere) and XlossΒ 0.4x+1.8x2βˆ’1.2x3X_{loss} ~ 0.4x+1.8x^2-1.2x^3 (adiabatic atmosphere), where x=(vImpm/vescM)x=(v_{Imp}m/v_{esc}M). Atmospheric mass loss due to planetesimal impacts proceeds in two different regimes: 1) Large enough impactors m>2ρ0(Ο€hR)3/2m > \sqrt{2} \rho_0 (\pi h R)^{3/2} (25~km for the current Earth), are able to eject all the atmosphere above the tangent plane of the impact site, which is h/2Rh/2R of the whole atmosphere, where hh, RR and ρ0\rho_0 are the atmospheric scale height, radius of the target, and its atmospheric density at the ground. 2) Smaller impactors, but above m>4πρ0h3m>4 \pi \rho_0 h^3 (1~km for the current Earth) are only able to eject a fraction of the atmospheric mass above the tangent plane. We find that the most efficient impactors (per unit impactor mass) for atmospheric loss are planetesimals just above that lower limit and that the current atmosphere of the Earth could have resulted from an equilibrium between atmospheric erosion and volatile delivery to the atmosphere from planetesimals. We conclude that planetesimal impacts are likely to have played a major role in atmospheric mass loss over the formation history of the terrestrial planets. (Abridged)Comment: Submitted to Icarus, 39 pages, 16 figure

    Rich: Open Source Hydrodynamic Simulation on a Moving Voronoi Mesh

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    We present here RICH, a state of the art 2D hydrodynamic code based on Godunov's method, on an unstructured moving mesh (the acronym stands for Racah Institute Computational Hydrodynamics). This code is largely based on the code AREPO. It differs from AREPO in the interpolation and time advancement scheme as well as a novel parallelization scheme based on Voronoi tessellation. Using our code we study the pros and cons of a moving mesh (in comparison to a static mesh). We also compare its accuracy to other codes. Specifically, we show that our implementation of external sources and time advancement scheme is more accurate and robust than AREPO's, when the mesh is allowed to move. We performed a parameter study of the cell rounding mechanism (Llyod iterations) and it effects. We find that in most cases a moving mesh gives better results than a static mesh, but it is not universally true. In the case where matter moves in one way, and a sound wave is traveling in the other way (such that relative to the grid the wave is not moving) a static mesh gives better results than a moving mesh. Moreover, we show that Voronoi based moving mesh schemes suffer from an error, that is resolution independent, due to inconsistencies between the flux calculation and change in the area of a cell. Our code is publicly available as open source and designed in an object oriented, user friendly way that facilitates incorporation of new algorithms and physical processes
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