logging in or signing up Bauer Lindon Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 125 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: November 15, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript New Approach to Supernova Simulations: New Approach to Supernova Simulations3d: 3d Fryer, Warren, ApJ 02 Very preliminary Similar convection as seen in their 2d work Explosion energy 3foe texpl = 0.1 - 0.2 sHydro Simulations: Hydro Simulations Tough problem for hydro Length scales vary drastically in time Multiple fluids Strongly time dependent viscosity Very large number of time steps Special relativity, causality, … Huge magnetic fields 3D simulations needed Giant grids Need to couple all of this to radiation transport calculation and Boltzmann transport problem for neutrinosSimulations of Nuclear Collisions: Simulations of Nuclear Collisions Hydro, mean field, cascades Numerical solution of transport theories Need to work in 6d phase space => prohibitively large grids (203x402x80~109 lattice sites) Idea: Only follow initially occupied phase space cells in time and represent them by test particles One-body mean-field potentials (r, p, t) via local averaging procedures Test particles scatter with realistic cross sections => (exact) solution of Boltzmann equation (+Pauli, Bose) Very small cross sections via perturbative approach Coupled equations for many species no problem Typically 100-1000 test particles/nucleon G.F. Bertsch, H. Kruse und S. Das Gupta, PRC (1984) H. Kruse, B.V. Jacak und H. Stöcker, PRL (1985) W. Bauer, G.F. Bertsch, W. Cassing und U. Mosel, PRC (1986) H. Stöcker und W. Greiner, PhysRep (1986) 1st Developed @ MSU/FFM Transport Equations: Transport Equations Mean field EoS 2-body scattering f = phase space density for baryonsTest Particles: Test Particles Baryon phase space function, f, is Wigner transform of density matrix Approximate formally by sum of delta functions, test particles Insert back into integral equation to obtain equations of motion for 6 coordinates of each test particleTest Particle Equations of Motion: Test Particle Equations of MotionExample: Example Density in reaction plane Integration over momentum space Cut for z=0+-0.5 fmMomentum Space: Momentum Space Output quantities (not input!) Momentum space information on Thermalization & equilibration Flow Particle production Shown here: local temperatureReproduces Experiments: Reproduces ExperimentsTry this for Supernovae!: Try this for Supernovae! 2 M in iron core = 2x1057 baryons 107 test particles => 2x1050 baryons/test particle Need time-varying grid for (non-gravity) potentials, because whole system collapses Need to think about internal excitation of test particles Can create n-test particles and give them finite mean free path => Boltzmann solution for n-transport problem Can address angular momentum questionInitial Conditions for Core Collapse: Initial Conditions for Core Collapse Woosley, Weaver 86 Iron CoreEquation of State: Equation of State Low density: Degenerate e-gas High density Dominated by nuclear EoS Isospin term in nuclear EoS becomes dominant For now: High density neutron rich EoS can be explored by GSI upgrade and/or RIAElectron Fraction, Ye: Electron Fraction, Ye Strongly density dependent Neutrino coolingInternal Heating of Test Particles: Internal Heating of Test Particles Test particles represent mass of order Mearth. Internal excitation of test particles becomes important for energy balanceNeutrinos: Neutrinos Neutrinos similar to pions at RHIC Not present in entrance channel Produced in very large numbers (RHIC: 103, here 1056) Essential for reaction dynamics Different: No formation time or off -shell effects Represent 10N neutrinos by one test particle Populate initial neutrino phase space uniformly Sample test particle momenta from a thermal distribution Neutrino test particles represent “2nd fluid”, do NOT escape freely (neutrino trapping), and need to be followed in time. Neutrinos created in center and are “light” fluid on which “heavy” baryon fluid descends Inversion problem Rayleigh-Taylor instability turbulence Neutrino Test particles: Neutrino Test particles Move on straight lines (no mean field) Scattering with hadrons NOT negligible! Convolution over all sAnA2 (weak neutral current) Resulting test particle cross section angular distrib.: scm(qf) = d(qf -qi) Center of mass picture: Pn,i pN,i Pn,f pN,f => Internal excitationCoupled Equations: Coupled Equations Similar to Wang, Li, Bauer, Randrup, Ann. Phys. ‘91Neutrino Gain and Loss: Neutrino Gain and Loss a a’ n f = 1 - f + fa fa’ fn WB, Heavy Ion Physics (2005)Numerical Realization: Numerical Realization Test particle equations of motion Nuclear EoS evaluated on spherical grid Newtonian monopole approximation for gravity Better: tree-evaluation of gravityTest Particle Scattering: Elastic Test Particle Scattering Nuclear case: test particles scatter with (reduced) nucleon-nucleon cross sections Elastic and inelastic cm frame Similar rules apply for astro test particles Scale invariance Shock formation Internal heatingDSMC: DSMC Stochastic Direct Simulation Monte Carlo Do not use closest approach method Randomly pick k collision partners from given cell Redistribute momenta within cell with fixed ir, iq,f Technical details: QuickSort on scattering index of each particle makes CPU time consumption ~ k N logN Final state phase space approximated by local T Fermi-Dirac (no additional power of N) Hydro limit: just generate “enough” collisions, no need to evaluate matrix elements All particles in given cell have same scattering index WB, Acta Phys. Hung. A21, 371 (2004)Excluded Volume: Excluded Volume Collision term simulation via stochastic scattering (Direct Simulation Monte Carlo) Additional advection contribution Modification to collision probability Alexander, Garcia, Alder, PRL ‘95 Kortemeyer, Daffin, Bauer, PRB ‘96 = 2nd Enskog virial coefficientEffects of Angular Momentum: Effects of Angular MomentumCollective Rotation: Initial conditions Evolve in time while conserving global angular momentum Collective RotationResults: Results “mean field” level 1 fluid: hadrons Max. Density vs. Angular Momentum: Max. Density vs. Angular Momentum Mean field only!!!Slide37: Initial conditions After 2 ms After 3 ms Core bounce 1 ms after core bounce 120 kmVortex Formation: Vortex FormationRatio of Densities: Ratio of Densities Bauer & Strother, Int. J. Phys. E 14, 129 (2005)Some Supernovae are Not Spherical!: Some Supernovae are Not Spherical! 1987A remnant shows “smoke rings” Cylinder symmetry, but not spherical Consequence of high angular momentum collapse HST Wide Field Planetary Camera 2More Qualitative: More Qualitative Neutrino focusing along poles gives preferred direction for neutrino flux Neutrinos have finite mass, helicity Parity violation on the largest scale Net excess of neutrinos emitted along “North Pole” => Strong recoil kick for neutron star supernova remnant => Non-thermal contribution to neutron star velocity distribution Amplifies effect of Horowitz et al., PRL 1998The People who did/do the Work: The People who did/do the Work Tobias Bollenbach Terrance Strother Funding from NSF, Studienstiftung des Deutschen Volkes, and Alexander von Humboldt Foundation You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Bauer Lindon Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 125 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: November 15, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript New Approach to Supernova Simulations: New Approach to Supernova Simulations3d: 3d Fryer, Warren, ApJ 02 Very preliminary Similar convection as seen in their 2d work Explosion energy 3foe texpl = 0.1 - 0.2 sHydro Simulations: Hydro Simulations Tough problem for hydro Length scales vary drastically in time Multiple fluids Strongly time dependent viscosity Very large number of time steps Special relativity, causality, … Huge magnetic fields 3D simulations needed Giant grids Need to couple all of this to radiation transport calculation and Boltzmann transport problem for neutrinosSimulations of Nuclear Collisions: Simulations of Nuclear Collisions Hydro, mean field, cascades Numerical solution of transport theories Need to work in 6d phase space => prohibitively large grids (203x402x80~109 lattice sites) Idea: Only follow initially occupied phase space cells in time and represent them by test particles One-body mean-field potentials (r, p, t) via local averaging procedures Test particles scatter with realistic cross sections => (exact) solution of Boltzmann equation (+Pauli, Bose) Very small cross sections via perturbative approach Coupled equations for many species no problem Typically 100-1000 test particles/nucleon G.F. Bertsch, H. Kruse und S. Das Gupta, PRC (1984) H. Kruse, B.V. Jacak und H. Stöcker, PRL (1985) W. Bauer, G.F. Bertsch, W. Cassing und U. Mosel, PRC (1986) H. Stöcker und W. Greiner, PhysRep (1986) 1st Developed @ MSU/FFM Transport Equations: Transport Equations Mean field EoS 2-body scattering f = phase space density for baryonsTest Particles: Test Particles Baryon phase space function, f, is Wigner transform of density matrix Approximate formally by sum of delta functions, test particles Insert back into integral equation to obtain equations of motion for 6 coordinates of each test particleTest Particle Equations of Motion: Test Particle Equations of MotionExample: Example Density in reaction plane Integration over momentum space Cut for z=0+-0.5 fmMomentum Space: Momentum Space Output quantities (not input!) Momentum space information on Thermalization & equilibration Flow Particle production Shown here: local temperatureReproduces Experiments: Reproduces ExperimentsTry this for Supernovae!: Try this for Supernovae! 2 M in iron core = 2x1057 baryons 107 test particles => 2x1050 baryons/test particle Need time-varying grid for (non-gravity) potentials, because whole system collapses Need to think about internal excitation of test particles Can create n-test particles and give them finite mean free path => Boltzmann solution for n-transport problem Can address angular momentum questionInitial Conditions for Core Collapse: Initial Conditions for Core Collapse Woosley, Weaver 86 Iron CoreEquation of State: Equation of State Low density: Degenerate e-gas High density Dominated by nuclear EoS Isospin term in nuclear EoS becomes dominant For now: High density neutron rich EoS can be explored by GSI upgrade and/or RIAElectron Fraction, Ye: Electron Fraction, Ye Strongly density dependent Neutrino coolingInternal Heating of Test Particles: Internal Heating of Test Particles Test particles represent mass of order Mearth. Internal excitation of test particles becomes important for energy balanceNeutrinos: Neutrinos Neutrinos similar to pions at RHIC Not present in entrance channel Produced in very large numbers (RHIC: 103, here 1056) Essential for reaction dynamics Different: No formation time or off -shell effects Represent 10N neutrinos by one test particle Populate initial neutrino phase space uniformly Sample test particle momenta from a thermal distribution Neutrino test particles represent “2nd fluid”, do NOT escape freely (neutrino trapping), and need to be followed in time. Neutrinos created in center and are “light” fluid on which “heavy” baryon fluid descends Inversion problem Rayleigh-Taylor instability turbulence Neutrino Test particles: Neutrino Test particles Move on straight lines (no mean field) Scattering with hadrons NOT negligible! Convolution over all sAnA2 (weak neutral current) Resulting test particle cross section angular distrib.: scm(qf) = d(qf -qi) Center of mass picture: Pn,i pN,i Pn,f pN,f => Internal excitationCoupled Equations: Coupled Equations Similar to Wang, Li, Bauer, Randrup, Ann. Phys. ‘91Neutrino Gain and Loss: Neutrino Gain and Loss a a’ n f = 1 - f + fa fa’ fn WB, Heavy Ion Physics (2005)Numerical Realization: Numerical Realization Test particle equations of motion Nuclear EoS evaluated on spherical grid Newtonian monopole approximation for gravity Better: tree-evaluation of gravityTest Particle Scattering: Elastic Test Particle Scattering Nuclear case: test particles scatter with (reduced) nucleon-nucleon cross sections Elastic and inelastic cm frame Similar rules apply for astro test particles Scale invariance Shock formation Internal heatingDSMC: DSMC Stochastic Direct Simulation Monte Carlo Do not use closest approach method Randomly pick k collision partners from given cell Redistribute momenta within cell with fixed ir, iq,f Technical details: QuickSort on scattering index of each particle makes CPU time consumption ~ k N logN Final state phase space approximated by local T Fermi-Dirac (no additional power of N) Hydro limit: just generate “enough” collisions, no need to evaluate matrix elements All particles in given cell have same scattering index WB, Acta Phys. Hung. A21, 371 (2004)Excluded Volume: Excluded Volume Collision term simulation via stochastic scattering (Direct Simulation Monte Carlo) Additional advection contribution Modification to collision probability Alexander, Garcia, Alder, PRL ‘95 Kortemeyer, Daffin, Bauer, PRB ‘96 = 2nd Enskog virial coefficientEffects of Angular Momentum: Effects of Angular MomentumCollective Rotation: Initial conditions Evolve in time while conserving global angular momentum Collective RotationResults: Results “mean field” level 1 fluid: hadrons Max. Density vs. Angular Momentum: Max. Density vs. Angular Momentum Mean field only!!!Slide37: Initial conditions After 2 ms After 3 ms Core bounce 1 ms after core bounce 120 kmVortex Formation: Vortex FormationRatio of Densities: Ratio of Densities Bauer & Strother, Int. J. Phys. E 14, 129 (2005)Some Supernovae are Not Spherical!: Some Supernovae are Not Spherical! 1987A remnant shows “smoke rings” Cylinder symmetry, but not spherical Consequence of high angular momentum collapse HST Wide Field Planetary Camera 2More Qualitative: More Qualitative Neutrino focusing along poles gives preferred direction for neutrino flux Neutrinos have finite mass, helicity Parity violation on the largest scale Net excess of neutrinos emitted along “North Pole” => Strong recoil kick for neutron star supernova remnant => Non-thermal contribution to neutron star velocity distribution Amplifies effect of Horowitz et al., PRL 1998The People who did/do the Work: The People who did/do the Work Tobias Bollenbach Terrance Strother Funding from NSF, Studienstiftung des Deutschen Volkes, and Alexander von Humboldt Foundation