Title: The Formation of High Mass Stars
1The Formation of High Mass Stars
Zurich September 17, 2007 Next Generation of
Computational Models
- Richard I. Klein
- UC Berkeley, Department of Astronomy
- and
- Lawrence Livermore National Laboratory
- Collaborators
- Mark Krumholz (Princeton University) and Chris
McKee (UC Berkeley)
This work was performed under the auspices of the
U.S. Department of Energy by the University of
California Lawrence Livermore National Laboratory
under contract No. W-7405-Eng-48.
UCRL-PRES-229278
2Outstanding Challenges of Massive Star Formation
- What is the formation Mechanism Gravitational
collapse of an unstable turbulent cloud
Competitive Bondi-Hoyle accretion Collisional
Coalescence? - How can gravitationally collapsing clouds
overcome the Eddington limit due to radiation
pressure? - What determines the upper limit for High Mass
Stars? (120Msun ? 150Msun) - How do feedback mechanisms such as protostellar
outflows and radiation affect protostellar
evolution? These mechanisms can also have a
dramatic effect on cluster formation - How do the systems in which massive stars are
present form?
3Theoretical Challenges of High Mass Star Formation
- Effects of Strong Radiation Pressure
- Massive stars M ? 20 M? have tK lt tform (Shu et
al. 1987) and begin nuclear burning during
accretion phase - Radiates enormous energy
- For M ? 100 M?
- however ?dust gtgt ?T
-
- But, observations show M 100 M? (Massey 1998,
2003) - Fundamental Problem How is it possible to
sustain a sufficiently high-mass accretion rate
onto protostellar core despite Eddington
barrier? - Does radiation pressure provide a natural limit
to the formation of high mass stars?
4Theoretical Challenges of High Mass Star
Formation (cont.)
- Effects of Protostellar outflows
- Massive stars produce strong radiation driven
stellar winds with momentum fluxes - Massive YSO have observed (CO) protostellar
outflows where
(Richer et al. 2000 Cesaroni 2004) - If outflows where spherically symmetric this
would create a greater obstacle to massive star
formation than radiation pressure - but, flows are found to be collimated with
collimation factors 2-10 (Beuther 2002, 2003,
2004) - Fundamental Problem How do outflows effect the
formation of Massive stars? Do outflows limit
the mass of a star?
5Physical Effects in High-Mass Star Formation
- Photoionization
- Effects quenched for moderate accretion rates
10-4 M? /yr - for spherically
symmetric infall - In disk accretion, material above and below disk
confine ionized region close to stellar surface - Outflows are sufficient to quench ionization
(Tan and McKee 2003) - Omit Photoionization as a first approximation
- Magnetic fields
- Gravity dominates magnetic fields when M gt MB ?
B3/n2 so magnetic fields are dynamically
unimportant for high mass cores (Shu et al. 1987) - At high densities B ? n1/2 so MB ? n-1/2 and
since n ? 106 in massive star forming regions, MB
is substantially reduced - Observations of magnetic fields in high mass
cores inconlcusive - Neglect of magnetic fields is a reasonable first
approximation
6Physical Effects in High-Mass Star Formation
(cont.)
- Dust
- Critical role in massive star formation ? couples
gas to radiation flux from central star - ? need radiation transport and multi-species
models with good microphysics - Photostellar outflows
- Molecular outflows in neighborhood of massive
stars 10-4 - 10-2 M? /yr. Force required to
drive such outflows Fco gt 10 100 LBOL/c - Outflows may be important to protostellar
evolution - Three-Dimensional Effects
- Interaction of radiation with infalling envelope
subject to radiation driven instabilities - Interaction of protostellar outflow with
infalling envelope possibly unstable - Accretion disks develop non-axisymmetric
structures in turbulent flows - Three dimensional simulations are crucial
7Equations of Gravito-Radiation Hydrodynamics to
order v/c (Krumholz, Klein McKee 2007a)
(Continuity)
(Gas momentum)
(Gas energy)
(Poisson)
(Radiation energy)
(Flux-limited diffusion approximation)
Equations exact to (v/c) in static diffusion
regime.
8High Mass Star Formation Simulation Physics
- Euler equations of compressible gas dynamics with
gravity - Radiative transfer and radiation pressure in the
gray, flux-limited diffusion approximation ?
radiative feedback - Model of dust opacity based on Pollack et al.
(1994) (6 species) - Outflows hydromagnetic outflow models
- Dynamical Feedback
- Eulerian sink particles
- Created when the density in a cell exceeds the
local Jeans density (Krumholz, McKee, Klein
2004) - Free to move through the grid and continue to
accrete gas - Sink particles feed radiation and (for some runs)
winds back into the grid based on a protostellar
model - Model includes accretion, KH contraction,
deuterium and hydrogen burning (McKee Tan
2003), x-winds - Capability to handle the enormous range of scales
involved ? AMR
9Physics Implementation
- Our AMR code is a combination of C and FORTRAN
90 ? Uses parallel MPI-based Box Lib Library - ORION is our magneto-radiation-hydrodynamics AMR
code - We Solve Parallel, 3-D coupled
self-gravitating-Radiation-Hydrodynamics on
Adaptive Meshes ? Multi-Scale Physics - Hydrodynamics is solved with conservative, high
order, time explicit Godunov scheme with
Approximate Riemann Solver - ? Multi-fluid Hydrodynamics
- Self-Gravity We employ parallel, scalable,
multi-grid solution algorithms - ? We use implicit multi-grid iteration to first
solve Poisson Equation on a single level
10Physics Implementation (cont.)
- Level solutions are then coupled and iterated to
convergence to obtain solution for gravitational
potential on all levels - Radiation Transfer Non-Equilibrium
Flux-Limited diffusion including important O(v/c)
terms - Radiation solved implicity with parallel
multi-grid, iteration scheme taking into account
multi-level solves - ? Solutions must be obtained which couple all
grids at a single refinement level, or even
across multiple level - Ideal MHD fully 2nd order unsplit Godunov MHD
- We are now implementing this in our AMR
self-gravity rad-hydro code - Much better dissipation properties than split
staggered mesh schemes (Crockett, Collella,
Fisher, Klein McKee JCP 2004)
11HMSF Initial Conditions Non-Turbulent
r 3/2 density profile, r 0.10.2 pc, M
100200 Msun, slow solid-body rotation ? 0.02,
dynamic range 8192
12Non-Turbulent IC Early Evolution
At early stages the star accretes steadily and a
Keplerian disk forms. Cylindrical symmetry is
maintained.
13Non-Turbulent IC Radiation Bubble Formation
At higher luminosities, radiation pressure forms
bubbles above and below the accretion disk.
Bubble growth is up-down and cylindrically
asymmetric.
14Continued Expansion of Radiation Bubble
15High Mass Disk and Formation of Expanding
Radiation Driven Bubble
16Rayleigh-Taylor Instability in Radiation Driven
Bubble
17Collapse of radiation driven bubble
18HMSF Turbulent Initial Conditions
r 3/2 density profile, Gaussian random velocity
field with power on large scales, kinetic energy
potential energy ? Mach number 8.5, dynamic
range 16,348
19HMSF Protostellar Evolution
Turbulent ICs
Non Turbulent ICs
20Radius, Accretion Rate and Luminosity of Primary
Star
start of Deuterium burning
Principal source of raising temperature in the
core is accretion luminosity which is the
dominant source of energy prior to nuclear burning
accretion luminosity
21Temperature Distribution in 100 Solar Mass Core
Tgt100 K, RT
Tgt50 K, RT
ALL
Tgt300 K, RT
Tgt100 K, BAR
Tgt300 K, BAR
Tgt50 K, BAR
Accretion luminosity transported by radiation
heats a radius of 1000 AU of the core to gt 50K
and substantial parts of the core to gt 100K
22Evolution of 100 Solar Mass Turbulent
Protostellar Core
Radiative heating results in the formation of a
primary high mass star and 2 low mass stars in
the disk
23Evolution of 100 Solar Mass Turbulent Isothermal
Protostellar Core
Isothermal or barotropic models result in the
formation of a multitude of low mass stars only ?
erroneous fragmentation
24Observing Massive Disks with ALMA
Integrated TB in simulated 1000 s / pointing ALMA
observation of disk at 0.5 kpc in CH3CN 220.7472
GHz (KKM 2007c, ApJ,)
25Effects of Protostellar Outflows
- High mass protostars have outflows that look like
larger versions of low mass protostellar outflows
(Beuther et al. 2004) - Outflows are launched inside stars dust
destruction radius - Due to high outflow velocities, there is no time
for dust grains to regrow inside outflow
cavities. Grains reach only 103?m by the time
they escape the core. - Because grains are small, outflow cavities are
optically thin. - Thin cavities can be very effective at
collimating protostellar radiation, reducing the
radiation pressure force in the equatorial plane - Krumholz, McKee Klein, (2005) using toy
Monte-Carlo radiative transfer calculations find
outflows cause a factor of 5 10 radiation
pressure force reduction - Outflows may be responsible for driving
turbulence in clumps (Li Nakamura 2006) -
- ?
26Protostellar Outflows in High-Mass Star Formation
Temperature Distribution
Radiation and Gravitational Forces
- Temperature distribution from Monte Carlo
diffusion (Whitney, et. al. 2003) Radiation
transfer with ray solution to get radiative
forces - Envelope rotationally flattened density dist.
cavity shape Za?b M50M? ZAMS 50M? envelope - With no wind cavity frad gt fgrav everywhere
except inside the accretion disk? accretion
halted - With wind cavity, frad lt fgrav outside disk
radius ? accretion can continue
27HMSF with Outflows Very Early 3-D Evolution
Early results show that radiation is collimated
effectively by outflow cavities radiation energy
density is factor of 5 higher inside cavity
28Advances Necessary in Algorithmic Performance and
Scalability for High Mass Star Formation
- State-of-the-art simulations follow collapse from
the scale of turbulent cores to stars (KKM 2007) - Dynamic range gt
104 - Simulations will require more realistic initial
conditions in core derived from the outer scale
imposed by turbulent clumps (M several X 103
M? ) - Simulations are just beginning to follow
collapse - from turbulent Clumps ?Cores ? Stars with
radiative feedback and AMR - Dynamic Range gt 105
- Current state-of-the-art (Krumholz, Klein McKee
2006, 07) require months to evolve high mass
stars on parallel machines ( 256 processors)
with Grey Radiation Transfer ? multi-frequency
will be several times more expensive - Future simulations will evolve GMCs ? Clumps ?
Cores ? Stars - Dynamic Range gt 106 - 107
- For galaxy simulations to incorporate star
formation - Galaxy ? GMCs ? Clumps ? Cores ?
Stars - Dynamic Range gt 3x108 - 3x1010
-
-
29Summary and Future Directions
- 3-D high resolution AMR simulations with ORION
achieves protostellar masses considerably above
previous 2-D axisymmetric gray simulations - Two new mechanisms have been shown to overcome
radiation pressure barrier to achieve high mass
star formation - 3-D Rayleigh-Taylor instabilities in radiation
driven bubbles appear to be important in allowing
accretion onto protostellar core - Protostellar outflows resulting in optically thin
cavities promote focusing of radiation and
reduction of radiation pressure ? enhances
accretion - Radiation feedback from accreting protostars
inhibits fragmentation - ALMA observations will help distinguish between
competing models of high mass star formation ?
gravitational core collapse predicts large scale
disks - Future Directions
- Multi-frequency radiation-hydrodynamics and
inclusion of ionization - Improvement in flux limited diffusion
(Monte-Carlo Sn transport Variable Edd Tensor) - Improvement in dust physics (e.g. shattering
coagulation multi-species) - Evolution of wind outflow models and interaction
with infalling envelope - Self consistent evolution of high mass turbulent
cores from large scale turbulent clump - Inclusion of MHD ? can launch hydromagnetic wind
possible photon bubble instab. ? -
30Back up Slides
31Radiation Transport Results in Suppression of
Large Scale Fragmentation in Massive Star
Formation
0.26 pc
6700 AU
Most of the available mass in turbulent cloud
goes into one massive star.
32High Mass Disk at 27,000 yr. (Krumholz, Klein
McKee 2007b)
0.6 pc radius
Disk radius 3000 AU
33Observing Massive Disks
Integrated TB in simulated 1000 s / pointing ALMA
observation of disk at 0.5 kpc in CH3CN 220.7472
GHz (KKM 2007c, ApJ, in press)
34Adaptive Mesh Overview
- A block-structured refinement strategy combines
the advantages of adaptive mesh refinement with
the efficiencies provided by uniform grids - For hyperbolic systems, such as the advection
component of fluid dynamics, explicit difference
schemes can be used which minimize communication - A serial algorithm can proceed one grid at a time
- A parallel algorithm can process many grids at
once. Library support for this approach is
provided by CCSE at LBL. - For parabolic and elliptic systems, such as those
associated with radiation diffusion, implicit
difference schemes must be used. Solutions must
be obtained which couple all grids at a single
refinement level, or even across multiple levels. - Interactive solvers based on multigrid provide
efficient solutions. - We use the hypre parallel multigrid library
developed in CASC for this part of the algorithm