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Core Formation due to Magnetic Fields, Ambipolar Diffusion, and Turbulence Shantanu Basu The University of Western Ontario Collaborators: Glenn Ciolek (RPI), Wolfgang Dapp (UWO), Takahiro Kudoh (NAOJ), James Wurster (UWO) The Cosmic Agitator University of Kentucky March 29, 2008
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Onishi et al. (2002) Taurus Molecular Cloud 5 pc velocity dispersion sound speed distance = 140 pc = T Tauri star = protostar
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Large Scale Molecular Gas Structure of Taurus Goldsmith et al. (2008) 12 CO emission Striations of gas emission consistent with magnetically- dominated envelope.
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Layer Instability Consider a layer of surface density . Linear perturbation analysis yields dispersion relation Moreover, there is a preferred fragmentation scale. at which the growth time is a minimum. H is the vertical scale height of the layer. Gravitational instability if
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Effect of Magnetic Field Critical magnetic field if magnetic pressure self-gravitational pressure Where magnetic flux-freezing applies: Subcritical cloud No fragmentation occurs Supercritical cloud Fragmentation occurs
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Ambipolar Diffusion In a weakly ionized gas, the mean velocity of neutral atoms or molecules will not generally equal the mean velocity of ions and electrons. Neutrals do not feel the Lorentz force directly, but only through collisions arising from a drift relative to ions. neutral-ion collision time Even SUBCRITICAL clouds can undergo fragmentation instability due to ambipolar diffusion, i.e. ion-neutral slip. ion density vs. neutral density relation, primarily due to cosmic ray ionization
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Magnetic field line MHD simulation: 2-dimensional Low density and hot gas Molecular cloud Integrate thorugh structure of the z-direction near the midplane 2D approximation. 2D simulation box Gravitational fragmentation occurs. Dense core Kudoh & Basu (2003,2006) – dense midplane of stratified turbulent cloud has transonic/subsonic motions. 1D simulation box (Kudoh & Basu)
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Modes of Fragmentation Gravitational Fragmentation Turbulent Fragmentation dynamic (supercritical mass-to-flux ratio) quasistatic ambipolar-diffusion (subcritical mass-to-flux ratio) (Linear perturbations) We can test all of these scenarios including the effects of magnetic fields and ambipolar diffusion. supercriticalsubcritical (Highly nonlinear perturbations)
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MHD Model of Gravitational Fragmentation In all images, but magnetic field strength varies. Added small (few %) initial random white noise perturbations to column density, magnetic field. Thin disk approximation
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Linear Perturbation Analysis for Magnetic Disk with AD Ciolek & Basu (2006) flux freezing imperfect coupling CR ionization growth time of instability
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Ciolek & Basu (2006); Basu, Ciolek, & Wurster (2008) Fragmentation Scales This curve first derived by Morton & Mouschovias (1991) Solid lines = linear fragmentation theory. Symbols = result of 2D numerical simulations Case of low external pressure on disk High external pressure case Converges to
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MHD Model of Gravitational Instability Basu, Ciolek & Wurster (2008) Very weakWeak Strong in all images - t = 20 - |v| max =1.1 c s - moderate elongation - large spacing - t = 200 - |v| max =0.4 c s -mildest core elongation - t = 10 - |v| max =1.2 c s - most elongated Highly supercritical Critical - t = 100 - |v| max =0.7 c s - largest spacing Supercritical Subcritical box size ~ 2 pc, time unit ~ 2 x 10 5 yr if n n,0 = 3 x 10 -3 cm -3, scales as n n,0 -1/2. 128 2 cells in each model
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MHD Model of Gravitational Instability Basu, Ciolek, & Wurster (2008)
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INITIAL Core Mass Function (Grav. Fragmentation) Narrow lognormal-like. High-mass slope much steeper than observed CMF/IMF. “Core” = enclosed region with Basu, Ciolek, & Wurster (2008)
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Observed Core Mass Fcn and Initial Mass Fcn Data from Nutter & Ward- Thompson (2007) Data from Muench, Lada, & Lada (2002) Lognormal Lognormal/power-law
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Cumulative histogram of 1524 cores from over 400 separate simulations INITIAL Core Mass Function from Multiple Models Add results from a range of models from =0.5 to 0 = 2.0.
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Turbulent Fragmentation with B and Ambipolar Diffusion Thin disk approximation Li & Nakamura (2004) (a)-(e) subcritical ( 0.83 model, (f)-(h) supercritical ( = 1.25 model. v k 2 ~ k -4 spectrum – has a large-scale flow note filamentarity and velocity vectors time unit = 2 Myr; box width = 3.7 pc Will this work in 3D?
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Magnetic field line Molecular cloud dense sheet Low density and hot gas Magnetic field 3D simulation box X y z Input large perturbation perpendicular to magnetic field at t=0 MHD simulation: (1+2 =) 3-dimensional Low density and hot gas Kudoh, Basu, Ogata, & Yabe (2007), Kudoh & Basu (2008) Top view Side view MHD with ion-neutral slip We have a new explicit 3D non-ideal MHD code.
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3D Turbulent Fragmentation with B and AD Kudoh & Basu (2008) Nonlinear initial velocity field rms amplitude Gas density in midplane (z=0) A vertical slice of gas density Nonlinear IC Linear IC using 64 x 64 x 40 cells allowed to decay box width = 2.5 pc trans-Alfvenic
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3D Turbulent Fragmentation with B and AD Kudoh & Basu (2008) What’s really happening? is a proxy for . Early turbulent compression Then, higher density region evolves with near vertical force balance Rapid contraction when/where
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Core Mass Spectrum for 2D Turbulent Model Basu, Ciolek, Dapp, & Wurster (2008) BROAD tail, ROUGHLY consistent with IMF. But, final fate still undetermined. Thin disk (2D) allows many runs in order to compile statistics
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Conclusions Transcritical gravitational fragmentation has a maximum (>> Jeans) fragment scale. Subcritical and supercritical fragmentation both occur at ~ Jeans scale Nonlinear gravitational fragmentation yields expected fragment spacing and observationally testable kinematics for different ’s Initial CMF is narrow for gravitational fragmentation with any single mass-to-flux ratio, but a variety of ’s can yield an overall broad distribution. Model of 3D turbulent fragmentation reveals accelerated fragmentation for subcritical clouds with trans-Alfvenic turbulence. Initial CMF from turbulent fragmentation is also broad but clear mapping to IMF via monolithic collapse not assured A wide range of results are available for comparison to observations.
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