CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Simulating Astrophysical Combustion with the FLASH code Jonathan Dursi (and many, many others) Canadian.

Slides:



Advertisements
Similar presentations
Copyright © 2010 Pearson Education, Inc. Clicker Questions Chapter 12 Stellar Evolution.
Advertisements

PHYS The Main Sequence of the HR Diagram During hydrogen burning the star is in the Main Sequence. The more massive the star, the brighter and hotter.
Chapter 16: Evolution of Low-Mass Stars
Fill in the chart when you see a yellow star. Take notes on the stars and events as well.
Life Cycles of Stars.
Presented By: Paul Grenning. Deflagration is the ignition and combustion Gasoline deflagrates when lit with a match Detonation is the explosive force.
Introduction to Astrophysics Lecture 11: The life and death of stars Eta Carinae.
Objectives Determine the effect of mass on a star’s evolution.
For a typical white dwarf density of 5  10 8 g cm -3 and a pure carbon environment, the flame thickness is 3.78  cm and the speed is 58 km s -1.
9 th HEDLA Conference, Tallahassee, Florida, May 3, 2012 Spontaneous Deflagration-to-Detonation Transition in Thermonuclear Supernovae Alexei Poludnenko.
Stellar Evolution. Basic Structure of Stars Mass and composition of stars determine nearly all of the other properties of stars Mass and composition of.
1. accretion disk - flat disk of matter spiraling down onto the surface of a star. Often from a companion star.
ASCI/Alliances Center for Astrophysical Thermonuclear Flashes Simulating Self-Gravitating Flows with FLASH P. M. Ricker, K. Olson, and F. X. Timmes Motivation:
Announcements Angel Grades are updated (but still some assignments not graded) More than half the class has a 3.0 or better Reading for next class: Chapter.
Novae and Mixing John ZuHone ASCI/Alliances Center for Thermonuclear Flashes University of Chicago.
An Advanced Simulation and Computing (ASC) Academic Strategic Alliances Program (ASAP) Center at The University of Chicago The Center for Astrophysical.
An Advanced Simulation and Computing (ASC) Academic Strategic Alliances Program (ASAP) Center at The University of Chicago The Center for Astrophysical.
SN Ia: Blown to Smithereens (Röpke and Hillebrandt 2005) Nick Cowan UW Astronomy March 2005 Nick Cowan UW Astronomy March 2005.
Supernova Type 1 Supernova Produced in a binary system containing a white dwarf. The mechanism is the same (?) as what produces the nova event.
Scalable Algorithms for Structured Adaptive Mesh Refinement Akhil Langer, Jonathan Lifflander, Phil Miller, Laxmikant Kale Parallel Programming Laboratory.
SOLAR SYSTEM AND STAR FORMATION. Solar System and Star Formation  Both happen at the same time, but we’ll look at the two events separately.
Faculty of Engineering, Kingston University London
Can you guess why I am showing you this picture?
JP ©1 2 3 Stars are born, grow up, mature, and die. A star’s mass determines its lifepath. Let M S = mass of the Sun = ONE SOLAR MASS Stellar Evolution.
Application / User Viewpoint Computer Science Section Head Computational and Information Systems Laboratory National Center for Atmospheric.
An Accelerated Strategic Computing Initiative (ASCI) Academic Strategic Alliances Program (ASAP) Center at The University of Chicago The Center for Astrophysical.
The Sun.
1 Stellar Lifecycles The process by which stars are formed and use up their fuel. What exactly happens to a star as it uses up its fuel is strongly dependent.
Advanced Simulation and Computing (ASC) Academic Strategic Alliances Program (ASAP) Center at The University of Chicago The Center for Astrophysical Thermonuclear.
Intro screen.
A Star Becomes a Star 1)Stellar lifetime 2)Red Giant 3)White Dwarf 4)Supernova 5)More massive stars October 28, 2002.
The Lives and Deaths of Stars
Life Cycle of Stars Birth Place of Stars:
Life Cycle of a Star The changes that a star goes through is determined by how much mass the star has. Two Types of Life Cycles: Average Star- a star with.
Life Cycle of a Star 8.8A describe components of the universe, including stars, nebulae, and galaxies, and use models such as the Herztsprung-Russell diagram.
ASCI/Alliances Center for Astrophysical Thermonuclear Flashes Helium Detonations on Neutron Stars M. Zingale, F. X. Timmes, B. Fryxell, D. Q. Lamb, K.
Gas-kineitc MHD Numerical Scheme and Its Applications to Solar Magneto-convection Tian Chunlin Beijing 2010.Dec.3.
Unit 1: Space The Study of the Universe.  Mass governs a star’s temperature, luminosity, and diameter.  Mass Effects:  The more massive the star, the.
The life cycle of stars from birth to death
Characteristics of Stars and The Life of Stars Chapter
The Sun-Earth-Moon System. What is the moon? The moon is a natural satellite of Earth This means that the moon orbits Earth.
Heat release modeling FPVA-based model V. Terrapon and H. Pitsch 1 Stanford PSAAP Center - Working draft.
Center for Extended MHD Modeling (PI: S. Jardin, PPPL) –Two extensively developed fully 3-D nonlinear MHD codes, NIMROD and M3D formed the basis for further.
Nuclear Chemistry Part 2. Fission vs. Fusion Fission A larger nucleus splits into smaller pieces Creates a lot of energy Used in nuclear bombs and nuclear.
Chapter 12: Stellar Evolution. Most stars spend a majority of their lives (~90%) on the main sequence (about 10 billion years for our Sun) Virtually all.
Supernova Type 1 Supernova Produced in a binary system containing a white dwarf. The mechanism is the same (?) as what produces the nova event.
© 2010 Pearson Education, Inc. The Bizarre Stellar Graveyard.
What have we learned? What does our galaxy look like? – Our galaxy consists of a disk of stars and gas, with a bulge of stars at the center of the disk,
Life of Stars. Star Birth – Nebular Model Huge clouds of gas and dust occur in space – may be exploded stars Most Nebulae (gas clouds) are invisible –
Stellar Evolution Chapters 16, 17 & 18. Stage 1: Protostars Protostars form in cold, dark nebulae. Interstellar gas and dust are the raw materials from.
Astrophysical Flames, Flame Instabilities, and Ignition in White Dwarfs or How `grungy gastrophysics' will save cosmology Jonathan Dursi, CITA, University.
CITA|ICAT Jonathan Dursi HPCS’06 15 May Towards Understanding some Astrophysical Flows using Multiscale Simulations with the FLASH code Jonathan Dursi,
Ch 12--Life Death of Stars
12-2 Notes How Stars Shine Chapter 12, Lesson 2.
© 2017 Pearson Education, Inc.
Stellar Evolution Chapters 16, 17 & 18.
Section 3: Stellar Evolution
A Semi-Analytic Model of Type Ia Supernova Turbulent Deflagration
25.2 – Stellar Evolution – Part II
Other Stars.
Solar system Orbital motions AQA SPACE PHYSICS PHYSICS ONLY Red shift
Some Later Stages of Low- Mass Stars
Life Cycle of a Star 8.8A describe components of the universe, including stars, nebulae, and galaxies, and use models such as the Herztsprung-Russell diagram.
Life Cycle of a Star.
Goals Explain why stars evolve Explain how stars of different masses evolve Describe two types of supernova Explain where the heavier elements come from.
Evolution of the Solar System
Warm up label the diagram
Life Cycle of a Star 8.8A describe components of the universe, including stars, nebulae, and galaxies, and use models such as the Herztsprung-Russell diagram.
Astronomy Chapter VII Stars.
Solar system Orbital motions AQA SPACE PHYSICS PHYSICS ONLY Red shift
Presentation transcript:

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Simulating Astrophysical Combustion with the FLASH code Jonathan Dursi (and many, many others) Canadian Institute for Theoretical Astrophysics University of Toronto

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Outline ● Combustion in Astrophysics ● The FLASH code ● Testing / V&V ● Towards Multiscale/subgrid approaches (Röpke, Max Planck Institute for Astrophysics)

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Combustion in Astrophysics ● Almost all astrophysical systems are fluid – Hot, dense ● Many interesting phenomenon involve energetic phase transitions -- `burning' ● Some very exotic – phase transitions in early universe – quark-matter deconfinement (Röpke, Max Planck Institute for Astrophysics) Vladimirova, FLASH Center

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Combustion in Astrophysics ● Most systems: – Burning = thermonuclear reactions ● Stable burning (simmering/smouldering): – Stars like the sun (well-mixed reactor) ● Explosive burning (thermonuclear flashes): – Novae – X-Ray Bursts – Supernovae : SOHO - EIT Consortium, ESA, NASASOHOEIT ConsortiumESANASA

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Combustion in Astrophysics ● Differences from terrestrial combustion: – Thermonuclear reactions, not chemical ● Fairly minor differences in behaviour ● Arrhenius-like ● Much simpler `chemistry'! – Energetics captured with ~10 species (Wikipedia)

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Combustion in Astrophysics ● Differences from terrestrial combustion: – Equation of State – (Partially) degenerate material ● Supported by degenerate electron pressure – Pressure insensitive to temperature at high densities ● Explosive burning Andrew Truscott & Randall Hulet (Rice U.)Randall HuletRice U.

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Combustion in Astrophysics: Novae ● Burning on surface of white dwarf ● Accretes matter (hydrogen, helium) from neighbor faster then can stably burn ● Burst of convective burning, lifts accreted envelope, sends burned material into surroundings ● Important source of heavy elements for new stars, planets Courtesy Hubble STScI

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Combustion in Astrophysics: Novae ● Simulations: – Unstable burning in convecting atmosphere – Burning ~subsonic, mixes through atmosphere as it lifts – Plane-parallel simulations looking at little piece of the white dwarf atmosphere – Mixing into white dwarf crucial for mechanism Kercek, Hillebrandt, Truran (1999)

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Combustion in Astrophysics: X-Ray Bursts ● Burning on surface of neutron star ● Higher gravity: higher densities ● Burning proceeds as deflagration (detonation?) ● Visible in X-rays from great distances. Gravity too strong for important amounts of ejecta Courtesy Chandra X-Ray Observatory

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Combustion in Astrophysics: X-Ray Bursts ● Surface of a large (~30 km) body: can consider local piece ● Burning propagates along layer of fuel as flame or detonation ● Heats, roils atmosphere ● Simulations of large scale behaviour, small scale flame/detonation physics Zingale, SUNY Stony Brook

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Combustion in Astrophysics: Supernovae Ia ● White dwarf accretes material slowly ● Centre gets hotter, denser ● Simmering, rotating -- highly turbulent ● Burning begins in centre of star as flame ● Transition to detonation? ● Total incineration of white dwarf ● One of largest explosions in universe Courtesy Hubble STScI

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 ● Basic combustion simulations: – Cellular detonations in white dwarfs – (unburned pockets potentially very interesting in Type Ia context) Combustion in Astrophysics: Supernovae Ia

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 ● Effect of strain/curvature on thermonuclear flame speed (`Markstein Length') Combustion in Astrophysics: Supernovae Ia

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Combustion in Astrophysics: Supernovae Ia ● Large-scale simulations of system – Some assumed turbulent burning model

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Modeling Combustion in Astrophysics ● Large, small scale simulations ● Turbulent burning, flames, detonations ● Complex EOS, highly compressible ● Want code that is – Robust – Well-tested methods – Could scale to masssively parallel systems

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 The Flash Code Cellular detonation Compressed turbulence Helium burning on neutron stars Richtmyer-Meshkov instability Laser-driven shock instabilities Nova outbursts on white dwarfs Rayleigh-Taylor instability Flame-vortex interactions Gravitational collapse/Jeans instability Wave breaking on white dwarfs Shortly: Relativistic accretion onto NS Orzag/Tang MHD vortex Type Ia Supernova Intracluster interactions Magnetic Rayleigh-Taylor

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 Cellular detonation Compressed turbulence Helium burning on neutron stars Richtmyer-Meshkov instability Laser-driven shock instabilities Nova outbursts on white dwarfs Rayleigh-Taylor instability Flame-vortex interactions Gravitational collapse/Jeans instability Wave breaking on white dwarfs Shortly: Relativistic accretion onto NS Orzag/Tang MHD vortex Type Ia Supernova Intracluster interactions Magnetic Rayleigh-Taylor FLASH code: Explicit reactive hydrodynamics code AMR, massively parallel (65536 procs+) Scales very well Highly portable Used, tested on wide variety of problems Rigorously tested Modular (easy to add/change physics modules) Widely available ( The Flash Code

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 The Flash Code – AMR ● Required because of very large dynamic range of scales. ● Permitted by locality of problems ● Can do bigger problems ● But hard because: ● Frequent redistribution ● Load balancing ● Irregular, unpredictable memory/message patterns; hard to precompute things ● Refinement/derefinement a black art.

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 The Flash Code – AMR ● PARAMESH library developed at NASA/GSFC ● Local physics occurs on a block as if isolated. ● Number of guardcells depends on stencil size. ● Number of interior points : ● More cells - more efficient (until block too big for cache) ● Fewer cells - can refine more quickly in smaller area. Guard Cells Interior Cells

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 The Flash Code – AMR ● Blocks and refinement are in an oct-tree structure. ● Refining block -> 2 d children created, each with 2x resolution of parent ● Neighbor blocks must differ by at most one level of refinement. ● Drawback: resolution can only fall of linearly in distance. ● Feature: simplifies, speeds up accurate calculation of `boundary conditions' (guardcells) Refinement Level

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 The Flash Code – Hydrodynamics ● Hydrodynamics algorithms informed by highly compressible problems typical in astrophysics ● Finite volume Godunov schemes ● Dimensionally split ● Extremely capable for modelling shocks, detonations

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 The Flash Code – Hydrodynamics ● Piecewise Parabolic Method ● Defines an upwinded parabola at each point with correct cell average ● Very aggressive `flattening' to enforce a very strict measure of monotonicity ● Also flattens at contact discontinuities ● Long history in compressible astrophysical flows

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 The Flash Code – Hydrodynamics ● Parabolas improve space accuracy ● To improve time accuracy, must modify how left,right states are chosen for Riemann solve ● Estimate characteristic speeds in cell and find region which is connected to interface in timestep ● Average over reconstruction in that region ● Those are left, right states for Riemann solve

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 ● Simulating situations unavailable to experiment ● Testing code results particularly important ● Testing must take such forms as it can FLASH V&V

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 ● Simplest: check for bugs from multiple developers, compilers... ● Test suite run nightly on multiple platforms ● Includes each physics module, integration ● Differences (to machine precision) are flagged, along with code changes FLASH V&V

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 ● Test suite includes standard test cases for physics modules with known solutions ● More complicated test cases with `benchmark' solutions FLASH V&V

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 ● Validation: Cannot compare to astrophysical problems directly ● Compare to experiments of relevant fluid instabilities ● Very challenging tests FLASH V&V

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 FLASH V&V ● Collaboration w/ experimenters essential for comparison ● Iterative process ● Instabilities: can only compare statistically

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 FLASH V&V

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 ● Propagation of turbulent flame ● Total burning needed for large- scale models ● Simulations of buoyantly turbulent flames in low-speed code ● Development of models for inclusion into large-scale models ● Turbulent burning is challenging! Development of subgrid models: flames Zingale, SUNY Stony Brook

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 ● Ignition in supernovae likely happen at `turbulent hotspots' ● Large-scale reactive turbulence ● For given turbulence intensity, how does ignition happen? Development of subgrid models: ignition

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 ● Many 1d spherical simulations of igniting hotspots ● Determine `flammability limits’ ● Highly nonlinear ● Non-igniting hotspots contribute little energy to flow Development of subgrid models: ignition

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 ● Large 1d, 3d simulations of compressible reactive turbulence ● Extract temperature, hotspot PDF ● Need large simulations – ignition points are necessarily rare events Development of subgrid models: ignition

CITA|ICAT Jonathan Dursi CAIMS-MITACS 2006 June 19 ● Development/Integration of all-speed solvers essential for modeling ignition through explosion ● Development of meaningful subgrid models must continue ● Continuing testing methods against instability experiments: often interesting research problems in their own right. Future Work