82 research outputs found
What Causes P-mode Asymmetry Reversal?
The solar acoustic p-mode line profiles are asymmetric. Velocity spectra have
more power on the low-frequency sides, whereas intensity profiles show the
opposite sense of asymmetry. Numerical simulations of the upper convection zone
have resonant p-modes with the same asymmetries and asymmetry reversal as the
observed modes. The temperature and velocity power spectra at optical depth
have the opposite asymmetry as is observed for the
intensity and velocity spectra. At a fixed geometrical depth, corresponding to
, however, the temperature and velocity spectra have the
same asymmetry. This indicates that the asymmetry reversal is produced by
radiative transfer effects and not by correlated noise.Comment: 16 pages, 10 figures, submitted to Astrophysical Journa
The Universality of the Stellar IMF
We propose that the stellar initial mass function (IMF) is universal in the
sense that its functional form arises as a consequence of the statistics of
random supersonic flows.
A model is developed for the origin of the stellar IMF, that contains a
dependence on the average physical parameters (temperature, density, velocity
dispersion) of the large scale site of star formation. The model is based on
recent numerical experiments of highly supersonic random flows that have a
strong observational counterpart.
It is shown that a Miller-Scalo like IMF is naturally produced by the model
for the typical physical conditions in molecular clouds. A more ``massive'' IMF
in star bursts is also predicted.Comment: 22 pages; Latex; 6 figures included. MNRAS (in press
The dynamical state of massive clumps
The dynamical state of massive clumps is key to our understanding of the formation of massive stars. In this work, we study the kinematic properties of massive clumps using synthetic observations. We have previously compiled a very large catalogue of synthetic dust-continuum compact sources from our 250 pc, SN-driven, star formation simulation. Here, we compute synthetic N2H+ line profiles for a subsample of those sources and compare their properties with the observations and with those of the corresponding three-dimensional (3D) clumps in the simulation. We find that the velocity dispersion of the sources estimated from the N2H+ line is a good estimate of that of the 3D clumps, although its correlation with the source size is weaker than the velocity-size correlation of the 3D clumps. The relation between the mass of the 3D clumps, M-main, and that of the corresponding synthetic sources, M-SED, has a large scatter and a slope of 0.5, M-main proportional to M-SED(0.5), due to uncertainties arising from the observational band-merging procedure and from projection effects along the line of sight. As a result, the virial parameters of the 3D clumps are not correlated with the clump masses, even if a negative correlation is found for the compact sources, and the virial parameter of the most massive sources may significantly underestimate that of the associated clumps.Peer reviewe
Local helioseismology and correlation tracking analysis of surface structures in realistic simulations of solar convection
We apply time-distance helioseismology, local correlation tracking and
Fourier spatial-temporal filtering methods to realistic supergranule scale
simulations of solar convection and compare the results with high-resolution
observations from the SOHO Michelson Doppler Imager (MDI). Our objective is to
investigate the surface and sub-surface convective structures and test
helioseismic measurements. The size and grid of the computational domain are
sufficient to resolve various convective scales from granulation to
supergranulation. The spatial velocity spectrum is approximately a power law
for scales larger than granules, with a continuous decrease in velocity
amplitude with increasing size. Aside from granulation no special scales exist,
although a small enhancement in power at supergranulation scales can be seen.
We calculate the time-distance diagram for f- and p-modes and show that it is
consistent with the SOHO/MDI observations. From the simulation data we
calculate travel time maps for surface gravity waves (f-mode). We also apply
correlation tracking to the simulated vertical velocity in the photosphere to
calculate the corresponding horizontal flows. We compare both of these to the
actual large-scale (filtered) simulation velocities. All three methods reveal
similar large scale convective patterns and provide an initial test of
time-distance methods.Comment: 15 pages, 9 figures (.ps format); accepted to ApJ (tentatively
scheduled to appear in March 10, 2007 n2 issue); included files ms.bbl,
aabib.bst, aabib.sty, aastex.cl
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