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Page 1: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent

Flows

Jongsoo KimKorea Astronomy and Space Science Institute

Collaborators: Dongsu Ryu, Enrique Vazquez-Semadeni

Kim, & Ryu 2005, ApJL (PS)Kim, VS, Passot, & Ryu 2006, in preparation (PDF)

Page 2: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

Armstrong et al. 1995 ApJ, Nature 1981

PC AU

•Electron density PS (M~1)•Composite PS from observations of ISM velocity, RM, DM, ISS fluctuations, etc.•A dotted line represents the Komogorov PS•A dash-dotted line does the PS with a -4 slope

11/3(5/3)=3.66(1.66) : the 3D (1D) slope of Komogorov PS

Page 3: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

HI optical depth image

•CAS A•VLA obs.•angular resol.: 7 arcsec•sampling interval: 1.6 arcsec•velocity reol.: 0.6km/sec

Deshpande et al. 2000

Page 4: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

Density PS of cold HI gas (M~2-3 from Heilies and Troland 03)

-A dash line represents a dirty PS obtained after averaging the PW of 11 channels.

-A solid line represents a true PS obtained after CLEANing.

-2.4

-2.75

Deshpande et al. 2000

Why is the spectral slope of HI PS shallower than that of electron PS? We would like to answer this question in terms of Mrms.

Page 5: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

;0 vt

δvvvv

2at

•Isothermal Hydrodynamic equations

•Isothermal TVD Code (Kim, et al. 1998)

;121rmsrms

avM

•Periodic Boundary Condition

is a Gaussian random perturbation field with either a power spectrum or a flat power spectrum with a predefined wavenumber ranges.

δv42|| kv

- We adjust the amplitude of the velocity field in such a way that root-mean-square Mach number, Mrms, has a certain value.

•Driving method (Mac Low 99)

•Initial Condition: uniform density

Page 6: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

PC cluster in KASI• 128 Intel Xeon processors

(64 nodes) • Gigabit Ethernet

interconnect• 128GB memory • 6TB disk space

Page 7: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

Time evolution of velocity and density fields: (I) Mrms=1.0

•Resolution: 8196 cells

•1D isothermal HD simulation driven a flat spectrum with a wavenumber range 1<k<2

•(Step function-like) Discontinuities in both velocity and density fields develop on top of sinusoidal perturbations with long-wavelengths

•FT of the step function gives -2 spectral slope.

Page 8: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

Time evolution of velocity and density fields: (II) Mrms=6.0

•Resolution: 8196•1D isothermal HD simulation driven a flat spectrum with a wavenumber range 1<k<2•Step function-like (spectrum with a slope -2) velocity discontinuities are from by shock interactions.•Interactions of strong shocks make density peaks, whose functional shape is similar to a delta function•FT of a delta function gives a flat spectrum.

Page 9: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

Velocity power spectra from 1D HD simulations

•Large scale driving with a wavenumber ranges 1<k<2

•Resolution: 8196

•Because of 1D, there are only sound waves (no eddy motions).

•Slopes of the spectra are nearly equal to -2, irrespective of Mrms numbers.

Page 10: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

Density power spectra from 1D HD simulations

•Large scale driving with a wavenumber ranges 1<k<2•Resolution: 8196•For subsonic (Mrms=0.8) or mildly supersonic (Mrms=1.7) cases, the slopes of the spectraare still nearly -2.•Slopes of the spectra with higherMach numbers becomes flat especially in the low wavenumber region.•Flat density spectra are not related to B-fields and dimensionality.

Page 11: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

Comparison of sliced density images from 3D simulations

Mrms=1.2 Mrms=12

•Large-scale driving with a wavenumber ranges 1<k<2•Resolution: 5123

•Filaments and sheets with high density are formed in a flow with Mrms=12.

Page 12: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

Density power spectra from 3D HD simulations

•Statistical error bars of time-averaged density PS

•Large scale driving with a wavenumber ranges 1<k<2

•Resolution: 5123

•Spectral slopes are obtained withleast-square fits over the ranges 4<k<14

•As Mrms increases, the slope becomes flat in the inertial range.

Page 13: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

Density PDF• Previous numerical studies (for example, VS94, PN97, PN99,

Passot and VS 98, E. Ostriker et al. 01) showed that density PDFs of isothermal (gamma=1), turbulent flows follow a log-normal distribution.

ln

2)ln(lnexp

2

1ln)(ln 2

20

2ddP

for a mass-conserving system2

ln2

0

• However, the density PDFs of large-scale driven turbulent flows with high Mrms numbers (for example, in molecular clouds) were not explored.

Page 14: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

2D isothermal HD (VS 94)

Mrms=0.58

Need to explore flows with higher Mach numbers.

Page 15: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

3D decaying isothermal MHD(Ostriker et al. 01)

1D Driven isothermal HD(Passot & VS 98)

Drive with a flat velocity PSover the wavenumber range 1<k<19

initial PS |vk |2~ k-4

Page 16: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

1D driven experiments with flat velocity spectra

Driving with a flat spectrum over the wavenumber range, 1<k<19

Large-scale driving in the wavenumber range, 1<k<2

time-averaged density PDF; resolution 8196

The density PDFs of large-scale driven flows significantly deviate from the log-normal distribution.

Page 17: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

2D driven experiments

color-coded density movie density PDFMrms ~8; 1<k<2; resolution 10242

When the large-sclae dense filaments and voids form, the density PDFquite significantly deviate from the log-nomal distribution.

Page 18: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

2D driven experiments

color-coded density image density PDF

Mrms ~1; 15<k<16; resolution 10242

Density PDFs of the low Mach number flow driven at small scales almost perfectly follow the log-nomal distribution.

Page 19: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

2D driven experiments

1<k<2 Mrms~8time-averaged density PDF; resolution 10242

As the Mrms and the driving wavelength increase, the density PDFsdeviate from the log-normal distribution.

Page 20: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

1<k<2|vk|2~ k-4

3D driven experimentsdensity PDFs with different Mrms; resolution 5123

A density PDF of a large-scale driven flow with Mrms=7 quite significantly deviates from the log-normal distribution.

Page 21: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

3D decay experiments

1<k<2|vk||2~ k-4

time-evolution of density PDF; resolution 5123

As the turbulent flows decay, their density PDFs are converged to the log-normal distribution.

Page 22: Statistical Properties (PS, PDF) of Density Fields in Isothermal Hydrodynamic Turbulent Flows Jongsoo Kim Korea Astronomy and Space Science Institute Collaborators:

Conclusions

• As the Mrms of compressible turbulent flow increases, the density power spectrum becomes flat. This is due to density peaks (filaments and sheets) formed by shock interactions.

• The Kolmogorov slope of the electron-density PS is explained by the fact that the WIM has a transonic Mach number; while the shallower slope of a patch of cold HI gas is due to the fact that it has a Mach number of a few.

• Density PDFs of isothermal HD, turbulent flows deviates significantly from the log-normal distirbution as the Mrms and the driving scale increase.