Integrated Impact of Hydrodynamic Processes in Massive Stars - PowerPoint PPT Presentation

1 / 41
About This Presentation
Title:

Integrated Impact of Hydrodynamic Processes in Massive Stars

Description:

Progenitors of WDs, LBVs, SNeII, SNeIb/c, GRBs, etc. ... Directly from apsidal motion of binaries. Standard model cores are systematically undersized ... – PowerPoint PPT presentation

Number of Views:38
Avg rating:3.0/5.0
Slides: 42
Provided by: astroK4
Category:

less

Transcript and Presenter's Notes

Title: Integrated Impact of Hydrodynamic Processes in Massive Stars


1
Integrated Impact of Hydrodynamic Processes in
Massive Stars
  • Stellar Hydro Days
  • July 26th, 2006
  • Patrick Young (LANL/Steward)
  • Casey Meakin, David Arnett (Steward)
  • LA-UR-05-3961,4652

2
A Sampling of Unresolved Questions
  • Evolution and contribution to environment
  • f(initial mass)
  • f(metallicity)
  • Yields from an initial mass function (IMF)
  • luminosity
  • kinetic energy
  • nucleosynthesis
  • Progenitors of WDs, LBVs, SNeII, SNeIb/c, GRBs,
    etc.
  • How to identify the progenitor of a particular
  • object
  • Asymmetries in supernova progenitors ?
    asymmetries in explosion, mixing of nuclear
    species

3
A Sampling of Unresolved Questions
  • Evolution and contribution to environment
  • f(initial mass)
  • f(metallicity)
  • Yields from an initial mass function (IMF)
  • luminosity
  • kinetic energy
  • nucleosynthesis
  • Progenitors of WDs, LBVs, SNeII, SNeIb/c, GRBs,
    etc.
  • How to identify the progenitor of a particular
  • object
  • Asymmetries in supernova progenitors ?
    asymmetries in explosion, mixing of nuclear
    species

4
A Sampling of Unresolved Questions
  • Evolution and contribution to environment
  • f(initial mass)
  • f(metallicity)
  • Yields from an initial mass function (IMF)
  • luminosity
  • kinetic energy
  • nucleosynthesis
  • Progenitors of WDs, LBVs, SNeII, SNeIb/c, GRBs,
    etc.
  • How to identify the progenitor of a particular
  • object
  • Asymmetries in supernova progenitors ?
    asymmetries in explosion, mixing of nuclear
    species

5
A Sampling of Unresolved Questions
  • Progenitors of WDs, SNeII, SNeIb/c, GRBs, etc.
  • f(initial mass)
  • f(mass loss)
  • f(metallicity)
  • How to identify the progenitor of a particular
  • object
  • Yields from an initial mass function (IMF)
  • luminosity
  • kinetic energy
  • nucleosynthesis
  • Asymmetries in supernova progenitors ?
    asymmetries in explosion, mixing of nuclear
    species

6
Structure, Physical Processes, Evolution
  • Some stellar characteristics which influence
    evolution and final fate
  • Mass, core size
  • Density profile, entropy gradients
  • Composition, neutron excess
  • fluid velocities, angular momentum, asymmetries
  • energy transport
  • Determined primarily by
  • Mass Loss
  • Nuclear neutrino physics, opacities EOS
  • Rotation
  • Convection
  • Physics of convective boundaries
  • Hydrodynamics of stable regions

7
Structure, Physical Processes, Evolution
  • Previous slide somewhat misleading
  • We tend to separate out physical processes
  • Physics of stars, especially hydro, strongly
    coupled
  • For example, convection, waves, rotation,
    radiation transport are a single problem
  • Stars are not amenable to direct simulation
  • multi-D gives snapshots
  • analytics treat problems in isolation
  • High energy density experiments dont do stable
    hydro
  • Combinations of these can allow us to develop
    analytic frameworks that account for the coupling
    seen in more physically complete situations of
    simulation and experiment

8
Stable does not mean static!
  • Standard stellar models treat stars as series of
    static states
  • Mixing length-like theories evaluate
    thermodynamic criteria to determine extent of
    convection
  • Thermodynamic criteria appropriate for predicting
    onset of convection in stratified fluid, but not
    extent of convection once fluid is in motion
  • Stable layer is completely static

9
Stable does not mean static!
  • Multidimensional simulations of stellar
    convection
  • Main sequence 23 M? core convection
    (Meakin/PROMPI)

10
The Convective Boundary
  • Three main hydrodynamic regimes in a stratified
    medium
  • Region 1 fully convective Brünt-Väisälä
    frequency N2 lt 0
  • Unstable - displacements lead to acceleration
  • Driven by entropy generation (nuclear burning) or
    entropy loss (surface convection)
  • Motion dominated by accelerating plumes

Vorticity
XH
Velocity
11
The Convective Boundary
  • Boundary characterized by bulk Richardson number
    Ri b / (?u/?r)2 Ratio of potential energy
    across a layer to energy in shear (?u rms
    turbulent velocity, shear from waves depends on
    context, ?r extent of boundary, b ?N2dr)
  • Ri 0.25
  • Boundary region. Impact of plumes deposits
    energy through Lagrangian displacement of
    overlying fluid. Internal waves propagate from
    impacts
  • Conversion of convective motion to wave motion.
    Shear instabilities, nonlinear waves mix
    efficiently.
  • Wave amplitudes ? M2 N2 ? large buoyancy jump
    gives large wave amplitudes even at small Mach
    number

Vorticity
XH
Velocity
12
The Convective Boundary
  • Boundary characterized by bulk Richardson number
    Ri b / (?u/?r)2 Ratio of potential energy
    across a layer to energy in shear (?u rms
    turbulent velocity, ?r extent of boundary, b
    ?N2dr)
  • Ri 0.25
  • Two issues - extent of hydrodynamically unstable
    region larger that thermodynamically unstable
    region
  • Entrainment at marginally stable boundary

Vorticity
XH
Velocity
13
The Convective Boundary
  • Radiative regions
  • Internal waves propagate throughout radiative
    region
  • evaluate stability with gradient Ri, buildup of
    waves in cavity or coupling with rotation can
    cause instability
  • Radiative damping of waves generates vorticity
    (Kelvins theorem)
  • Slow compositional mixing
  • Energy transport changes gradients generates an
    effective opacity
  • angular momentum transport

Baroclinic generation term
Vorticity
14
Implications for Evolution
  • Predictive
  • Physics can be incorporated into evolution codes
  • Higher radiation pressure -gt less restoring force
  • Small effect for small stars
  • More important with increasing stellar mass
  • Larger convective core masses
  • Longer lifetimes
  • Higher luminosity, larger radii
  • Larger C/O cores at collapse (gt50 larger for 25
    M?)
  • Different composition entropy gradients,
    different neutron excess, different yields
  • Mixing of processed material through radiative
    regions, deeper dredge-up

15
Observational Tests
  • Convective core size
  • Indirectly, luminosities, radii of eclipsing
    binaries
  • Directly from apsidal motion of binaries
  • Standard model cores are systematically
    undersized
  • Models with hydrodynamics fit well at all masses

16
Eclipsing Binaries
17
Shell Burning
  • See Caseys talk
  • Important evolutionary effects
  • very different extent of late stage shells
  • mixing between shells
  • Urca
  • entrainment of fuel
  • Large perturbations of thermodynamic quantities
  • Spatially correlated perturbations

18
Extent of Convection
  • Local mixing length convection ignores effect of
    KE on marginally stable layers
  • Initial transient input of KE increases extent of
    mixed region 30 for mixing length initial
    models
  • New steady state after O abundance readjusted

19
Uncertainties in Nucleosynthesis
  • Structure of progenitor
  • Asymmetries in progenitor
  • Explosion mechanism
  • Method of calculating explosion
  • Method of calculating nucleosynthesis in
    explosion
  • Asymmetries in explosion

20
Structure at Core Collapse
  • Comparison of TYCHO models with and without hydro
    mixing
  • Models with hydro mixing
  • Smoother entropy gradients
  • Larger O cores, thus higher ?
  • Different abundance profiles
  • Multi-D effects
  • Coherent perturbations of on large spatial
    scales-gt rippled interfaces, global asymmetries
  • Merging of shells
  • Wave effects on energy neutrino transport,
    opacities

21
Structure at Core Collapse
  • Changed density structure changes collapse
  • Large mass accretion rate onto compact remnant
    for much longer time
  • Delayed explosion relative to standard stellar
    model
  • Weaker explosion
  • More fallback
  • Relatively low black hole minimum mass
  • Stars above 20M? at z? either become weak SNe
    or GRBs (maybe both)

22
Effect on Explosion Changes in 1D Progenitors
Yields from 23 M? with Grevesse Sauval 98 solar
metallicity Core collapse models from TYCHO with
and without hydro mixing 1D collapse from Fryer
1999 Model Explosion Energy Remnant Mass
Ni Mass ?/Fe
Standard 1.65 foe
1.57 M? 0.42 M?
5.74 Hydro weak exp. 0.57 foe
6.01 M? lt0.1 M?
large Hydro strong exp. 3.0 foe
1.64 M? 0.99 M? 6.05
23
Effects of Explosion Asymmetries
  • Imposing a small asymmetry during 3D calculation
    of explosion changes mixing
  • Yields for otherwise consistent models
  • energy (foe) 44Ti (M?) 56Ni
  • 23 M? 2.3 1.2x10-5 2.6x10-4
  • 23 M? Asymm. 2.3 1.8x10-4 0.019

24
Conclusions
  • Stable does not mean static! Hydrodynamics in the
    convective boundary and radiative regions have
    substantial effects on evolution
  • ?radiation pressure, ?restoring force, ? effects
    increasingly important at larger masses
  • Hydro mixing can be approximated in 1D
    evolutionary models in a predictive way and in
    agreement with observations
  • Late burning stages cannot be captured in 1D
  • burning shells interact
  • perturbations in T,? of perhaps 10 correlated on
    large angular scales near collapse
  • rippled composition / thermodynamic boundaries
  • different abundance patterns, effects on neutrino
    physics

25
Conclusions
  • Core sizes, explosion energies remnant masses
    are substantially different
  • Yields can change by orders of magnitude due to
  • changes in progenitors
  • asymmetries in progenitors
  • (not to mention various aspects of the explosion
    calculation itself)
  • High resolution 3D simulations and sophisticated
    analytical work are both necessary - physics must
    be generalized to apply to a wide range of
    conditions

26
Next Steps
  • Angular momentum transport
  • Geneva group has demonstrated importance of
    rotation to stellar evolution
  • Analytic - not supplemented with multi-D
    simulations, treated in isolation
  • Rotation must interact with g-modes convective
    boundary instabilities - more efficient transport
    of angular momentum
  • Talon Charbonnel show that g-modes can induce
    solid body rotation in sun, where wave flux is
    small
  • Simulations in progress
  • MHD
  • You can also get solid-body rotation in sun from
    B fields
  • Requires sophisticated MHD
  • Simulations in stellar context essentially
    limited to solar convection zone

27
Next Steps
  • Nuclear burning - multi-D with larger networks
    post-processing
  • Radiation dominated environments - eruptions of
    Luminous Blue Variables and Supernova Impostors
  • Inefficient convection on the early pre-Main
    Sequence and late post-Main Sequence
  • Binary Evolution
  • Connecting star formation to stars

Sandquist Taam
28
O C Burning
  • ?conv ?nuc ?thermal
  • No direct observational constraints
  • Initial 23 M? models from TYCHO with and without
    wave physics included
  • 25 element nuclear network for O C burning
  • 2D 3D wedges encompassing O or OC shells prior
    to Si ignition

29
Effects of Burning Calculation
  • Network size (obviously) important. Any
    calculation requires detailed post-processing
  • Duration of burning important. Network and
    freezeout calculations must continue for 10s of
    seconds
  • Location of ?-rich freezeout uncertain even at
    high Ye (gt0.4985) final dominant abundances (?,
    56Ni, neutron rich Fe peak) very sensitive to
    initial entropy, composition, thermodynamic
    trajectory

30
Effects of the Explosion Calculation
  • Very different neutrino luminosities can produce
    same final kinetic energy
  • Yields for otherwise consistent models
  • energy (foe) 44Ti (M?) 56Ni
  • 23 M? 2.3 1.8x10-4 0.019
  • 2.4 3.9x10-4 0.7

31
Effects of the Explosion Energy
  • Explosion energy in a simulation is arbitrary
    unless constrained by an observed supernova
  • Mechanism dependent changes neutrino energies,
    explosion energies, success of explosion.
  • ? vs. ?convection, different equations of state,
    jet-driven models, etc.
  • Yields for otherwise consistent models
  • energy (foe) 44Ti (M?) 56Ni
  • 23 M? binary 1.1 1.2x10-5 2.6x10-4
  • 2.0 5.7x10-5 0.055

32
Simulations vs. Constraints
White satisfies constraints, red inconsistent
with constraints, yellow marginal
33
Observational Constraints
  • High velocity N-rich, H-poor knots
  • Ejecta mass
  • Compact remnant mass
  • 44Ti and 56Ni
  • MTi 1.0 x 10-4 M? from x-rays
  • MNi 0.05-0.2 M? from brightness of supernova
  • Trends identifiable Ti decreases, Ni increases
    with explosion energy
  • BUT yields are very model dependent - multi-D
    effects cutoff time for calculation of burning
    freezeout network size neutron excess, entropy,
    temperature, density evolution can change
    yields by orders of magnitude

34
Effect on Explosion 3D Explosion Calculations
  • Initial results from a study of the progenitor of
    Cassiopeia A
  • Young (325yr), nearby (3.4 kpc)
  • Estimates range from 16 to 60 M? single stars and
    binary scenarios
  • Several independent observational constraints
  • 3D neutrino-driven explosion calculations a
    range of advanced progenitor models
  • What parameter space for the progenitor is
    allowed by each constraint?

35
Structural Perturbations
  • Intershell interaction
  • Large wave flux from O shell imposes large
    displacements on C shell
  • C shell is rippled on large spatial scales
  • KE flux of waves may overcome stability of
    intershell region??
  • O and C shells may merge??

36
Structural Perturbations
  • Angular variation of XO, ?nuc
  • Entrained material drawn as streamers into
    burning region
  • Composition variations of 10 in 3D
  • ?nuc varies by factor of a few in local flashes
    when fresh fuel ingested
  • Rapid burning of ingested material may produce
    explosive rather than hydrostatic abundance
    patterns

37
Structural Perturbations
  • Significant wave flux outside convective region
  • ?T, ?? 0.1-1 for 3D models
  • Perturbations reflect Lagrangian displacement of
    material by wave motion
  • Perturbations can be correlated instead of random
  • Low order modes can impose global asymmetries

38
Extent of Convection
  • Comparison with TYCHO models with and without
    hydro mixing
  • Predicted outer edge of mixed region in hydro
    mixing model more similar
  • Velocity structure more characteristic of waves
    than plumes in additional extent of mixed region

39
White Dwarf Initial-Final Mass Relation
  • Procyon Sirius
  • Mass radius of binary members known to lt1, L lt
    4
  • Cooling ages (Fontaine et al. models)
  • Sirius B mass of 5.04 0.29 M? from TYCHO, WD
    1.00 M?
  • Procyon B mass of 1.91 0.23 M? from TYCHO, 0.60
    M?
  • Consistent with Padova group estimate with well
    calibrated parameterized overshoot
  • Most precise determination yet of initial-final
    mass relation for massive white dwarfs (Liebert
    et al. 2005)

Sirius
Procyon
40
Contextual Stellar Evolution
  • Make stellar evolution predictive for all stages,
    masses, and compositions
  • In order to understand...
  • Nucleosynthetic, KE, luminosity yields
  • Populations (galaxy evolution)
  • Starbursts (first galaxies, interactions)
  • Cluster debris disk ages
  • Through a strategy of...
  • Using hydro simulations, laboratory astrophysics
  • Avoiding calibration of parameters
  • Stringent tests against observations

My god, it's full of stars!
41
The Nucleosynthetic Yields of Stellar Populations
  • Sources
  • Supernovae II,Ib/c,Ia LBVs Wolf-Rayets AGB
    stars planetary nebulae novae
  • The challenge accurately connecting microphysics
    of nucleosynthesis to macrophysics of stellar
    populations
  • Underestimating progenitor mass for a given yield
    by 10 overestimates the number of stars
    contributing that yield by 25 for Salpeter IMF
  • Similar problems for kinetic energy yields and
    photon fluxes
Write a Comment
User Comments (0)
About PowerShow.com