Refinement of the RB Formalism: Taking into Account Effects from the Line Coupling Q. Ma NASA/Goddard Institute for Space Studies & Department of Applied.

Slides:



Advertisements
Similar presentations
The Kinetic Theory of Gases
Advertisements

Lect.3 Modeling in The Time Domain Basil Hamed
Well Defined and Accurate Semiclassical Surface Hopping Propagators and Wave Functions Michael F. Herman Department of Chemistry Tulane University New.
© 2015 McGraw-Hill Education. All rights reserved. Chapter 15 Game Theory.
Bayesian inference “Very much lies in the posterior distribution” Bayesian definition of sufficiency: A statistic T (x 1, …, x n ) is sufficient for 
Pair Identity and Smooth Variation Rules Applicable for the Spectroscopic Parameters of H 2 O Transitions Involving High J States Q. Ma NASA/Goddard Institute.
Introduction to Molecular Orbitals
Digital Signal Processing
By S Ziaei-Rad Mechanical Engineering Department, IUT.
EARS1160 – Numerical Methods notes by G. Houseman
The Simple Linear Regression Model: Specification and Estimation
Chapter 5 Orthogonality
Part 3 Truncation Errors Second Term 05/06.
Uncertainties Associated with Theoretically Calculated N 2 Broadened Half-widths of H 2 O Lines Q. Ma NASA/Goddard Institute for Space Studies & Department.
Lecture 6 The dielectric response functions. Superposition principle.
Analyses of K-Group Designs : Analytic Comparisons & Trend Analyses Analytic Comparisons –Simple comparisons –Complex comparisons –Trend Analyses Errors.
Development of Empirical Models From Process Data
8. ANALYSIS OF VARIANCE 8.1 Elements of a Designed Experiment
Geometric characterization of nodal domains Y. Elon, C. Joas, S. Gnutzman and U. Smilansky Non-regular surfaces and random wave ensembles General scope.
Chapter 5 Solutions for Interacting Waves Using A MCM 5.1 Governing Equations and Hierarchy Eq.s 5.2 An Example of Applying A Mode Coupling Method (MCM)
Lecture II-2: Probability Review
CHAPTER 8 APPROXIMATE SOLUTIONS THE INTEGRAL METHOD
PSY 307 – Statistics for the Behavioral Sciences
ChE 551 Lecture 19 Transition State Theory Revisited 1.
Vibrational Spectroscopy
Density Matrix Density Operator State of a system at time t:
Ch 9 pages Lecture 18 – Quantization of energy.
Ch 23 pages Lecture 15 – Molecular interactions.
AN ITERATIVE METHOD FOR MODEL PARAMETER IDENTIFICATION 4. DIFFERENTIAL EQUATION MODELS E.Dimitrova, Chr. Boyadjiev E.Dimitrova, Chr. Boyadjiev BULGARIAN.
In Engineering --- Designing a Pneumatic Pump Introduction System characterization Model development –Models 1, 2, 3, 4, 5 & 6 Model analysis –Time domain.
Causal Correlation Functions and Fourier Transforms: Application in Calculating Pressure Induced Shifts Q. Ma NASA/Goddard Institute for Space Studies.
Quantification of the non- parametric continuous BBNs with expert judgment Iwona Jagielska Msc. Applied Mathematics.
“You can be a mathematician without a lot of science… However, you can’t be a scientist without math…” T.Webb HHS The “Grammar and Etiquette” of Scientific.
Coupling between the lattice and internal nuclear degrees of freedom Peter Hagelstein 1 and Irfan Chaudhary 2 1 Massachusetts Institute of Technology 2.
Hypernucleus In A Two Frequency Model Yiharn Tzeng, S.Y.Tsay Tzeng, T.T.S.Kuo.
ROTATIONAL SPECTROSCOPY
Predicting half-widths and line shifts for water vapor transitions on the HITEMP database Robert R. Gamache a, Laurence S. Rothman b, and Iouli E. Gordon.
Physics 430: Lecture 25 Coupled Oscillations
Temperature dependence of N 2 -, O 2 -, and air-broadened half- widths of water vapor transitions R. R. Gamache, B. K. Antony and P. R. Gamache Dept. of.
Accuracy of the Relativistic Distorted-Wave Approximation (RDW) A. D. Stauffer York University Toronto, Canada.
Chapter 10 For Explaining Psychological Statistics, 4th ed. by B. Cohen 1 A perfect correlation implies the ability to predict one score from another perfectly.
Understanding Network Concepts in Modules Dong J, Horvath S (2007) BMC Systems Biology 2007, 1:24.
ChE 452 Lecture 25 Non-linear Collisions 1. Background: Collision Theory Key equation Method Use molecular dynamics to simulate the collisions Integrate.
University of Ostrava Czech republic 26-31, March, 2012.
Chapter 20 Classification and Estimation Classification – Feature selection Good feature have four characteristics: –Discrimination. Features.
Interacting Molecules in a Dense Fluid
1 MODELING MATTER AT NANOSCALES 6. The theory of molecular orbitals for the description of nanosystems (part II) Perturbational methods for dealing.
INTEGRALS We saw in Section 5.1 that a limit of the form arises when we compute an area. We also saw that it arises when we try to find the distance traveled.
5 INTEGRALS.
Calculation of lineshape parameters for self- broadening of water vapor transitions via complex Robert-Bonamy theory Bobby Antony, Steven Neshyba* & Robert.
Time Dependent Perturbation Theory
Dissociation of H 2 Do HF calculations for different values of the H-H internuclear distance (this distance is fixed since we are in the Born- Oppenheimer.
Chapter 13 Discrete Image Transforms
MODULE 13 Time-independent Perturbation Theory Let us suppose that we have a system of interest for which the Schrödinger equation is We know that we can.
Chapter 14 EXPLORATORY FACTOR ANALYSIS. Exploratory Factor Analysis  Statistical technique for dealing with multiple variables  Many variables are reduced.
CORRELATION-REGULATION ANALYSIS Томский политехнический университет.
Time Dependent Perturbation Theory
d-Fold Hermite-Gauss Quadrature and Computation of Special Functions
Statistical Methods For Engineers
Lattice Vibrational Contribution to the Heat Capacity of the Solid
Where did we stop? The Bayes decision rule guarantees an optimal classification… … But it requires the knowledge of P(ci|x) (or p(x|ci) and P(ci)) We.
Adaptive Perturbation Theory: QM and Field Theory
THEORETICAL CALCULATIONS OF THE N2 BROADENED HALF-WIDTHS OF H2O
The Simple Linear Regression Model: Specification and Estimation
6.5 Taylor Series Linearization
Lattice Vibrational Contribution
THEORETICAL STUDIES OF THE RELAXATION MATRIX FOR MOLECULAR SYSTEMS
Product moment correlation
Lecture # 2 MATHEMATICAL STATISTICS
CISE-301: Numerical Methods Topic 1: Introduction to Numerical Methods and Taylor Series Lectures 1-4: KFUPM CISE301_Topic1.
Presentation transcript:

Refinement of the RB Formalism: Taking into Account Effects from the Line Coupling Q. Ma NASA/Goddard Institute for Space Studies & Department of Applied Physics and Applied Mathematics, Columbia University 2880 Broadway, New York, NY 10025, USA C. Boulet Institut des Sciences Moléculaires d’Orsay CNRS (UMR8214) and Université Paris-Sud Bât 350 Campus dOrsay F-91405, FRANCE R. H. Tipping Department of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487, USA

I. The Robert-Bonamy Formalism Advantages and Weaknesses The RB formalism has been widely used in calculating half-widths and shifts for many years. In comparison with the Anderson-Tsao-Curnutte formalism, it is characterized by two features: (1) A non-perturbative treatment of the Ŝ matrix through use of the Linked-Cluster Theorem (i.e., the Cumulant Expansion). (2) A convenient description of classical trajectories. Since the formalism was developed in 1979, there have been some improvements. (1) The “exact” trajectory model has been proposed in (2) A derivation error in applying the linked cluster theorem has been corrected in But, its core part remains the same until now. There are several approximations whose applicability has not been thoroughly justified. One of them is the isolated line approximation.

I. The Robert Bonamy Formalism The Isolated Line Approximation In developing their formalism, Robert and Bonamy have relied on the isolated line approximation twice. First, in calculation the spectral density F(ω), they have only considerd the diagonal matrix elements of the relaxation operator W, Effects from the line mixing are ignored. Second, when they evaluated the diagonal matrix of W, they have assumed that Effects from the line coupling are ignored.

I. The Robert-Bonamy Formalism Validity Criteria for Ignoring the Line Mixing and the Line Coupling These two simplifications relied on the same approximation, their validity criteria are completely different and the latter is more stringent than the former. For ignoring the line mixing, the criterion is ω – L a >> n b W. Roughly speaking, as frequency gaps between lines are much larger than their half-widths, this criterion is valid at least in cores of lines. 1 cm -1 separation or so is enough to neglect the line mixing. For ignoring the line coupling, the criterion is ‹‹ if| – iS 1 – S 2 |if ›› >> ‹‹ i′f′| – iS 1 – S 2 |if ››. The criterion depends on systems. As shown later, for the Raman Q lines of N 2 – N 2, 140 cm -1 separation or so is the minimum requirement.

II. Criterion for Ignoring the Line Coupling Analyzing Formulas for the Raman Q Lines of II. Criterion for Ignoring the Line Coupling Analyzing Formulas for the Raman Q Lines of N 2 – N 2 For the Raman Q lines of N 2 – N 2, if the potential does not depend on the vibration, S 1 is zero. In addition, because imaginary parts of S 2,outer,i and S 2,outer,f cancel out exactly, the S 2 matrix (= S 2,outer,i + S 2,outer,f +S 2,middle ) becomes real. Both S 2,outer,i and S 2,outer,f are diagonal. But, S 2,middle is off-diagonal. S 2,middle is the only source responsible for the line coupling. The selection rule is determined by the product of two Clebsch- Gordan coefficients. Because L 1 must be even, the line coupling occurs only among even j lines or among odd j lines.

II. Criterion for Ignoring the Line Coupling Numerical Estimation for the Raman Q Lines of II. Criterion for Ignoring the Line Coupling Numerical Estimation for the Raman Q Lines of N 2 – N 2 Magnitudes of the off-diagonal elements of S 2,middle are mainly determined by the Fourier transforms of H 22 (ω,r c ). The profile of H 22 (ω,r c ) is presented in Fig.1 where one uses dimensionless k (= ωr c /v) to represent ω. Its magnitudes decrease as k increases, but remain not negligible until k ≥ 14 or so. The later corresponds to ω ≥ 140 cm -1 in the small r c region. For the Raman Q lines of N 2 – N 2, separations of nearby coupled lines are around 4(2j + 3) cm -1. Thus, one must consider the line coupling because the criterion is not satisfied here. In evaluating the cumulant expansion, to apply the isolated line approximation is not justified and it could cause large errors.

II. Criterion for Ignoring the Line Coupling Profile of H 22 (k,r c ) H 22 (k,r c ) (in ps -2 ) at T = 298 K for the N 2 - N 2 pair as a two dimensional function of k and r c (in Å). Fig. 1 Profile of the Fourier transform of H 22 (k,r c ) (in ps -2 ) at T = 298 K for the N 2 - N 2 pair as a two dimensional function of k and r c (in Å).

III. How to Consider the Line Coupling Two Different Definitions of the Cumulant Expansion The key is to evaluate all the matrix elements of exp(– iS 1 – S 2 ). There are two ways to introduce the cumulant expansion. The one used by Robert and Bonamy contains a mistake. By correcting the mistake, a new way has been developed by us. Their essential difference results from two different ways to definite the average. The difference yields Consequently, there are different expressions for the half-width:

III. How to Consider the Line Coupling More Profound Consequence due to Two Different Choices Within the RB formalism 1.The operator iS 1 – S 2 depends on states of the bath molecule. 2.The matrix size of iS 1 – S 2 is determined by (# of lines) × (# of the bath states). 3.One needs to diagonalize a huge size matrix of iS 1 – S 2 for each of collisional trajectories. 4.Computational burdens have forced people to give up attempts to consider the line coupling, unless extra approximations are introduced. Within the modified RB formalism 1.The operator iS 1 – S 2 is independent of the bath states. 2.The matrix size of iS 1 – S 2 is only determined by # of lines. 3.One needs to diagonalize a smaller size matrix of iS 1 – S 2 for each of collisional trajectories. 4.Computational burdens would be reduced by several dozen thousand times and become very reasonable.

IV. Numerical Calculations for the Raman Q Lines For the Raman Q lines of N 2 – N 2, accurate potential models are available. The most accurate full quantum calculations match measured half-width data well. The RB formalism overestimates the half-widths by large amounts. This implies the RB formalism is not able to yield reliable results. By considering the line coupling, one is able to make an improvement. First, one calculates > for each of the trajectories. A sample of > with j = 0, 2, ∙∙∙, 14 and at r c = Å

IV. Numerical Calculations for the Raman Q Lines A sample of > with the isolated line approximation A sample of > without the approximation

IV. Numerical Calculations for the Raman Q Lines Fig. 2 Two sets of the factor (1 - >) for the four Q lines with j = 0 (black), 4 (red), 12 (green), and 20 (blue). The sets derived with and without the isolated line approx. are plotted by dotted-dash and solid lines, respectively. Calculated half-widths will be significantly reduced because this factor is a major part of the integrand of the half-widths.

IV. Numerical Calculations for the Raman Q Lines Fig. 3 Two sets of profiles of b(db/dr c )[1 – exp(– S 2 (r c ))] associated with three Q lines with j = 4 (black), 12 (red), and 20 (green). They are derived with excluding and including the line coupling and plotted by dotted-dash and solid lines, respectively. Calculated half-widths will be reduced significantly because the factor is the integrand of the half-widths.

IV. Numerical Calculations for the Raman Q Lines Fig. 4 Comparison of calculated half-widths and measured data. Values derived with excluding and including the line coupling are plotted by + and ∆. Results obtained from the close coupling calculations are given by ○. Two different measured values are plotted by □ and ×, respectively.

IV. Numerical Calculations for the Raman Q Lines A 16 × 16 sub-matrix of the relaxation operator W with j = 0, 2, 4, ∙∙∙, 30 The diagonal matrix elements of W represent the calculated half-widths. The Sum rule is satisfied, i.e.,

V. Discussions and Conclusions Without justification, to apply the isolated line approximation in evaluating exp(– iS 1 – S 2 ) could cause large errors because the approximation is more likely not applicable. With the modified RB formalism, one is able to consider the line coupling in practical calculations. For the Raman Q lines of N 2 – N 2, the RB formalism overestimates the half-widths by a large amount. By including the line coupling, our new calculated half-widths are significantly reduced and become closer to measurements. By overcoming one of the main weaknesses of the RB formalism, our refinement effort goes in the right direction.

V. Discussions and Conclusions The new calculated half-widths still do not match measured data. We don’t consider the differences as a bad sign of our refinement. There are other main weaknesses remaining in the RB formalism. The gaps provide room for further refinements. The method can be applied for other molecular systems, such as such as the N 2 and CO mixtures, CO 2 – Ar, C 2 H 2 – Ar, CO- Ar, HCl – Ar, HF – Ar. In all these systems, the RB formalism significantly overestimates the half-widths. For H 2 O – N 2, S 2,middle is the only source responsible for off-diagonal matrix elements of S 2. But, the leading correlation functions with L 1 = 1 makes major contributions. We expect that for strongly coupled H 2 O lines, effects on calculated half-widths from the line coupling could be significant.

VI. Remaining Challenges in the Refinement (1) To give up the assumption that the translation and internal motions are not connected and the trajectories are only determined by isotropic potentials. Benefit: Couplings between the translation and internal motions are taken into account. Challenge: As a semi-classical theory, the translational motion is treated classically and the internal motion is treated quantum mechanically. To consider them together is a very difficult job. (2) To consider contributions from the third-order expansion of the Ŝ matrix. Benefit: One can get higher order contributions and make sure that the results are converged. Challenge: One has to include many more terms in calculations. But, at least for two linear molecules, it is possible to solve this problem.