Propagating the Time Dependent Schroedinger Equation

Slides:



Advertisements
Similar presentations
Joint Mathematics Meetings Hynes Convention Center, Boston, MA
Advertisements

Chapter 28 – Part II Matrix Operations. Gaussian elimination Gaussian elimination LU factorization LU factorization Gaussian elimination with partial.

Simulating the Energy Spectrum of Quantum Dots J. Planelles.
High Intensity Laser Electron Scattering David D. Meyerhofer IEEE Journal of Quantum Electronics, Vol. 33, No. 11, November 1997.
Observation of the relativistic cross-phase modulation in a high intensity laser plasma interaction Shouyuan Chen, Matt Rever, Ping Zhang, Wolfgang Theobald,
Ionization of the Hydrogen Molecular Ion by Ultrashort Intense Elliptically Polarized Laser Radiation Ryan DuToit Xiaoxu Guan (Mentor) Klaus Bartschat.
The Finite Element Method Defined
Kalman Filtering, Theory and Practice Using Matlab Wang Hongmei
Asymptotic error expansion Example 1: Numerical differentiation –Truncation error via Taylor expansion.
Imaginary time method and nonlinear ionization by powerful free electron lasers S.V. Popruzhenko Moscow Engineering Physics Institute, Moscow EMMI workshop.
Generation of short pulses
Total Recall Math, Part 2 Ordinary diff. equations First order ODE, one boundary/initial condition: Second order ODE.
Linear Transformations
2. High-order harmonic generation in gases Attosecond pulse generation 1. Introduction to nonlinear optics.
CS 584. Review n Systems of equations and finite element methods are related.
Fast Convolution Algorithm Alexander Eydeland, Daniel Mahoney.
CSE351/ IT351 Modeling and Simulation
Lattice regularized diffusion Monte Carlo
WHY ???? Ultrashort laser pulses. (Very) High field physics Highest peak power, requires highest concentration of energy E L I Create … shorter pulses.
Numerical methods for PDEs PDEs are mathematical models for –Physical Phenomena Heat transfer Wave motion.
Finite element method 1 Finite Elements  Basic formulation  Basis functions  Stiffness matrix  Poisson‘s equation  Regular grid  Boundary conditions.
1 The Spectral Method. 2 Definition where (e m,e n )=δ m,n e n = basis of a Hilbert space (.,.): scalar product in this space In L 2 space where f * :
Chapter 2. Image Analysis. Image Analysis Domains Frequency Domain Spatial Domain.
Modeling light trapping in nonlinear photonic structures
Lund University From Rydberg to Atto physic Is matter a wave ?
Physics “Advanced Electronic Structure” Pseudopotentials Contents: 1. Plane Wave Representation 2. Solution for Weak Periodic Potential 3. Solution.
Finite Differences Finite Difference Approximations  Simple geophysical partial differential equations  Finite differences - definitions  Finite-difference.
CIS V/EE894R/ME894V A Case Study in Computational Science & Engineering HW 5 Repeat the HW associated with the FD LBI except that you will now use.
4.7 Identity and Inverse Matrices and Solving Systems of Equations Objectives: 1.Determine whether two matrices are inverses. 2.Find the inverse of a 2x2.
Efficient Integration of Large Stiff Systems of ODEs Using Exponential Integrators M. Tokman, M. Tokman, University of California, Merced 2 hrs 1.5 hrs.
Alvaro Sanchez Gonzalez Prof. Jon Marangos Prof. Jim Clarke
6. Introduction to Spectral method. Finite difference method – approximate a function locally using lower order interpolating polynomials. Spectral method.
Interaction of laser pulses with atoms and molecules and spectroscopic applications.
Three-Body Scattering Without Partial Waves Hang Liu Charlotte Elster Walter Glöckle.
1 Complex Images k’k’ k”k” k0k0 -k0-k0 branch cut   k 0 pole C1C1 C0C0 from the Sommerfeld identity, the complex exponentials must be a function.
1 Finite Elements. 2 Finite elements Formally identical to spectral technique Dependent variables expanded as linear combinations of basis local, non.
Computational Aspects of Multi-scale Modeling Ahmed Sameh, Ananth Grama Computing Research Institute Purdue University.
1 MODELING MATTER AT NANOSCALES 4. Introduction to quantum treatments The variational method.
Motivation Thus far we have dealt primarily with the input/output characteristics of linear systems. State variable, or state space, representations describe.
ESFRI & e-Infrastructure Collaborations, EGEE’09 Krzysztof Wrona September 21 st, 2009 European XFEL.
1 MODELING MATTER AT NANOSCALES 4. Introduction to quantum treatments Outline of the principles and the method of quantum mechanics.
Discretization for PDEs Chunfang Chen,Danny Thorne Adam Zornes, Deng Li CS 521 Feb., 9,2006.
Lanczos Representation Methods in Application to Rovibrational Spectroscopy Calculations Hong Zhang and Sean Smith Quantum & Molecular Dynamics Group Center.
Finite Element Modelling of Photonic Crystals Ben Hiett J Generowicz, M Molinari, D Beckett, KS Thomas, GJ Parker and SJ Cox High Performance Computing.
Tutorial: Quantum Dynamics of Four- Atom Reactions within the Real Wave Packet Framework Stephen Gray Chemistry Division Argonne National Laboratory Argonne,
ULTRAFAST PHENOMENA – LINEAR AND NONLINEAR To present nonlinear optics as successive approximations of the semi-classical interaction between light and.
Theory for Direct Frequency-Comb Spectroscopy Daniel Felinto and Carlos E.E. López 65 th International Symposium on Molecular Spectroscopy June 24, 2010.
Multipole-Based Preconditioners for Sparse Linear Systems. Ananth Grama Purdue University. Supported by the National Science Foundation.
Finding Rightmost Eigenvalues of Large, Sparse, Nonsymmetric Parameterized Eigenvalue Problems Minghao Wu AMSC Program Advisor: Dr. Howard.
Mathematical Formulation of the Superposition Principle
Q. M. Particle Superposition of Momentum Eigenstates Partially localized Wave Packet Photon – Electron Photon wave packet description of light same.
CHAPTER 2 - EXPLICIT TRANSIENT DYNAMIC ANALYSYS
SUPA, Department of Physics, University of Strathclyde,
Scientific Computing Lab
Le-Thuy Tran and Martin Berzins
The Finite Element Discrete Variable Method for the Solution of theTime Dependent Schroedinger Equation B. I. Schneider Physics Division National Science.
G. Castiglia1, P. P. Corso1, R. Daniele1, E. Fiordilino1, F
Muhammed Sayrac Phys-689 Modern Atomic Physics Spring-2016
Convergence in Computational Science
Intense LASER interactions with H2+ and D2+: A Computational Project
Chapter 9 Spin.
Finite Elements Basic formulation Basis functions Stiffness matrix
Supported by the National Science Foundation.
OSU Quantum Information Seminar
Comparison of CFEM and DG methods
Ph.D. Thesis Numerical Solution of PDEs and Their Object-oriented Parallel Implementations Xing Cai October 26, 1998.
Institute of Modern Physics Chinese Academy of Sciences
Presentation transcript:

Propagating the Time Dependent Schroedinger Equation B. I. Schneider Division of Advanced Cyberinfrastructure National Science Foundation September 6, 2013

What Motivates Our Interest Novel light sources: ultrashort, intense pulses  Nonlinear (multiphoton) laser-matter interaction Attosecond pulses probe and control electron dynamics XUV + IR pump-probe Free electron lasers (FELs) Extreme intensities  Multiple XUV photons

Basic Equation Possibly Non-Local or Non-Linear Where

Properties of Classical Orthogonal Functions

More Properties

Matrix Elements

Properties of Discrete Variable Representation

Its Actually Trivial

Multidimensional Problems Tensor Product Basis Consequences

Multidimensional Problems Two Electron matrix elements also ‘diagonal” using Poisson equation

Finite Element Discrete Variable Representation Properties Space Divided into Elements – Arbitrary size “Low-Order” Lobatto DVR used in each element: first and last DVR point shared by adjoining elements Elements joined at boundary – Functions continuous but not derivatives Matrix elements requires NO Quadrature – Constructed from renormalized, single element, matrix elements Sparse Representations – N Scaling Close to Spectral Accuracy

Finite Element Discrete Variable Representation Structure of Matrix

Time Propagation Method Diagonalize Hamiltonian in Krylov basis Few recursions needed for short time- Typically 10 to 20 via adaptive time stepping Unconditionally stable Major step - matrix vector multiply, a few scalar products and diagonalization of tri-diagonal matrix

Putting it together for the He Code NR1 NR2 Angular Linear scaling with number of CPUs Limiting factor: Memory bandwidth XSEDE Lonestar and VSC Cluster have identical Westmere processors

Extensive convergence tests: Comparison of He Theoretical and Available Experimental Results NSDI -Total X-Sect Considerable discrepancies! Rise at sequential threshold Extensive convergence tests: angular momenta, radial grid, pulse duration (up to 20 fs), time after pulse (propagate electrons to asymptotic region)  error below 1%

Two-Photon Double Ionization in The spectral Characteristics of the Pulse can be Critical

Can We Do Better ? How to efficiently approximate the integral is the key issue