Introduction to Patterson Function and its Applications

Slides:



Advertisements
Similar presentations
Phasing Goal is to calculate phases using isomorphous and anomalous differences from PCMBS and GdCl3 derivatives --MIRAS. How many phasing triangles will.
Advertisements

X-Ray Crystallography
Reciprocal lattice How to construct reciprocal lattice
EEE539 Solid State Electronics
Scattering from imperfect crystals (see Cowley Sect. 7.1) Two types average lattice exists (point defects, dislocations, thermal vibrations) no average.
Solid State Physics 2. X-ray Diffraction 4/15/2017.
1 Experimental Determination of Crystal Structure Introduction to Solid State Physics
Expression of d-dpacing in lattice parameters
Environmental Data Analysis with MatLab Lecture 11: Lessons Learned from the Fourier Transform.
IPCMS-GEMME, BP 43, 23 rue du Loess, Strasbourg Cedex 2
Fourier Transforms - Solving the Diffusion Equation.
§5.6 §5.6 Tight-binding Tight-binding is first proposed in 1929 by Bloch. The primary idea is to use a linear combination of atomic orbitals as a set of.
Fourier Transform and its applications.
Chemical order & disorder in metallic alloy Calculation of Bragg and Diffuse Scattering Correlation length in the Mean-Field approach Correlation Length.
John Bargar 2nd Annual SSRL School on Hard X-ray Scattering Techniques in Materials and Environmental Sciences May 15-17, 2007 What use is Reciprocal Space?
Diffuse scattering and disorder in relaxor ferroelectrics. T.R.Welberry, D.J.Goossens Diffuse scattering and disorder in relaxor ferroelectrics. T.R.Welberry,
Digital Image Processing, 2nd ed. © 2002 R. C. Gonzalez & R. E. Woods Chapter 4 Image Enhancement in the Frequency Domain Chapter.
13.1 Fourier transforms: Chapter 13 Integral transforms.
V. Fourier transform 5-1. Definition of Fourier Transform * The Fourier transform of a function f(x) is defined as The inverse Fourier transform,
VIII. Kinematical Theory of Diffraction 8-1. Total Scattering Amplitude The path difference between beams scattered from the volume element apart is The.
Lecture 12 Convolutions and summary of course Remember Phils Problems and your notes = everything Today Convolutions.
Lattice Vibrations, Part I
Diffraction from point scatterers Wave: cos(kx +  t)Wave: cos(kx +  t) + cos(kx’ +  t) max min.
UNIT - 4 ANALYSIS OF DISCRETE TIME SIGNALS. Sampling Frequency Harry Nyquist, working at Bell Labs developed what has become known as the Nyquist Sampling.
Chapter 7 X-Ray diffraction. Contents Basic concepts and definitions Basic concepts and definitions Waves and X-rays Waves and X-rays Crystal structure.
Diffraction Lineshapes (From “Transmission Electron Microscopy and Diffractometry of Materials”, B. Fultz and J. Howe, Springer-Verlag Berlin Chapter.
1 Scalar Properties, Static Correlations and Order Parameters What do we get out of a simulation? Static properties: pressure, specific heat, etc. Density.
Diffraction: Real Sample (From Chapter 5 of Textbook 2, Chapter 9 of reference 1,) Different sizes, strains, amorphous, ordering  Diffraction peaks.
EE484: Probability and Introduction to Random Processes Autocorrelation and the Power Spectrum By: Jason Cho
Image Processing © 2002 R. C. Gonzalez & R. E. Woods Lecture 4 Image Enhancement in the Frequency Domain Lecture 4 Image Enhancement.
Patterson Space and Heavy Atom Isomorphous Replacement
BRAVAIS LATTICE Infinite array of discrete points arranged (and oriented) in such a way that it looks exactly the same from whichever point the array.
Determination of Crystal Structure (From Chapter 10 of Textbook 2) Unit cell  line positions Atom position  line intensity (known chemistry) Three steps.
Lesson 8 Diffraction by an atom Atomic Displacement Parameters Low Temperature Data Collection.
Ionic Conductors: Characterisation of Defect Structure Lecture 15 Total scattering analysis Dr. I. Abrahams Queen Mary University of London Lectures co-financed.
Chem Patterson Methods In 1935, Patterson showed that the unknown phase information in the equation for electron density:  (xyz) = 1/V ∑ h ∑ k.
Chapter 5: Fourier Transform.
Chem Structure Factors Until now, we have only typically considered reflections arising from planes in a hypothetical lattice containing one atom.
1. Diffraction intensity 2. Patterson map Lecture
The reciprocal space Space of the wave vectors Fourier space Inverse Orthogonal.
Electronic Band Structures electrons in solids: in a periodic potential due to the periodic arrays of atoms electronic band structure: electron states.
Lesson 8 Diffraction by an atom Atomic Displacement Parameters.
Chapters: 3and 4. THREE MAIN LIGHT MATTER INTERRACTION Absorption: converts radiative energy into internal energy Emission: converts internal energy into.
Lecture 11 (end of) Fourier Transforms Remember Phils Problems and your notes = everything Today Finish Fourier.
Methods in Chemistry III – Part 1 Modul M.Che.1101 WS 2010/11 – 8 Modern Methods of Inorganic Chemistry Mi 10:15-12:00, Hörsaal II George Sheldrick
X-ray diffraction X-rays discovered in 1895 – 1 week later first image of hand. X-rays have ~ 0.1 – few A No lenses yet developed for x-rays – so no possibility.
Protein Structure Determination Lecture 4 -- Bragg’s Law and the Fourier Transform.
The quantum kicked rotator First approach to “Quantum Chaos”: take a system that is classically chaotic and quantize it.
INTRODUCTION TO SIGNALS
©D.D. Johnson and D. Ceperley MSE485/PHY466/CSE485 1 Scalar Properties, Static Correlations and Order Parameters What do we get out of a simulation?
IPCMS-GEMME, BP 43, 23 rue du Loess, Strasbourg Cedex 2
Phonons Packets of sound found present in the lattice as it vibrates … but the lattice vibration cannot be heard. Unlike static lattice model , which.
Crystal Structure and Crystallography of Materials Chapter 13: Diffraction Lecture No. 1.
Fourier Transform and Spectra
Fourier Transforms - Solving the Diffusion Equation
Section 6: Noise of a dynamical scatterer
SIGNALS PROCESSING AND ANALYSIS
Outline Introduction Signal, random variable, random process and spectra Analog modulation Analog to digital conversion Digital transmission through baseband.
Chapter 13 Integral transforms
Image Enhancement in the
Rietveld method. method for refinement of crystal structures
Introduction to Isomorphous Replacement and Anomalous Scattering Methods Measure native intensities Prepare isomorphous heavy atom derivatives Measure.
Crystallography H. K. D. H. Bhadeshia Introduction and point groups
Scalar Properties, Static Correlations and Order Parameters
10.6. Cluster Expansion for a Quantum Mechanical System
1. FT of delta function, : Go backwards with inverse:
Diffraction T. Ishikawa Part 1 Kinematical Theory 1/11/2019 JASS02.
What use is Reciprocal Space? An Introduction
Carbon Nanomaterials and Technology
Correlation, Energy Spectral Density and Power Spectral Density
Presentation transcript:

Introduction to Patterson Function and its Applications “Transmission Electron Microscopy and Diffractometry of Materials”, B. Fultz and J. Howe, Springer-Verlag Berlin 2002. Chapter 9) The Patterson function: explain diffraction phenomena involving displacement of atoms off periodic positions (due to temperature or atomic size)  diffuse scattering Phase factor: instead of Fourier transform prefactor ignored:

Supplement: Definitions in diffraction Fourier transform and inverse Fourier transform System 1 System 4 System 2 System 5 System 3 System 6

Relationship among Fourier transform, reciprocal lattice, and diffraction condition System 1 Reciprocal lattice Diffraction condition

System 2, 3 Reciprocal lattice Diffraction condition

Patterson function Atom centers at Points in Space: Assuming: N scatterers (points), located at rj. The total diffracted waves is The discrete distribution of scatterers  f(r)

f(r): zero over most of the space, but at atom centers such as , is a Dirac delta function times a constant Property of the Dirac delta function:

Definition of the Patterson function: Slightly different from convolution called “autoconvolution” (the function is not inverted). Convolution: Autocorrelation:

Fourier transform of the Patterson function = the diffracted intensity in kinematical theorem. Define  Inverse transform

The Fourier transform of the scattering factor distribution, f(r)  (k) and i.e.

1D example of Patterson function

Properties of Patterson function comparing to f(r): 1. Broader Peaks 2. Same periodicity 3. higher symmetry

Case I: Perfect Crystals much easier to handle f(r); the convolution of the atomic form factor of one atom with a sum of delta functions

Shape function RN(x): extended  to 

N = 9 shift 8a a triangle of twice the total width  -3a -a 2a 4a -4a 2a 4a -4a -2a a 3a shift 8a -3a -a 2a 4a -4a -2a a 3a a triangle of twice the total width -9a -7a -5a -3a -a 2a 4a 6a 8a -8a -6a -4a -2a a 3a 5a 7a 9a

F(P0(x))  I(k) Convolution theorem: a*b  F(a)F(b); ab  F(a)*F(b)

If ka  2, the sum will be zero. The sum will have a nonzero value when ka = 2 and each term is 1. N: number of terms in the sum 1 D reciprocal lattice

F.T.

A familiar result in a new form.   -function  center of Bragg peaks  Peaks broadened by convolution with the shape factor intensity  Bragg peak of Large k are attenuated by the atomic form factor intensity

Patterson Functions for homogeneous disorder and atomic displacement diffuse scattering Deviation from periodicity: Deviation function Perfect periodic function: provide sharp Bragg peaks Look at the second term Mean value for deviation is zero

The same argument for the third term  0 1st term: Patterson function from the average crystal, 2nd term: Patterson function from the deviation crystal. Sharp diffraction peaks from the average crystal often a broad diffuse intensity

 Uncorrelated Displacements: Types of displacement: (1) atomic size differences in an alloy  static displacement, (2) thermal vibrations  dynamic displacement Consider a simple type of displacement disorder: each atom has a small, random shift, , off its site of a periodic lattice Consider the overlap of the atom center distribution with itself after a shift of

12

No correlation in   probability of overlap of two atom centers is the same for all shift except n = 0 When n = 0, perfect overlap at  = 0, at   0: no overlap + = = + The same number of atom- atom overlap

The diffuse scattering increases with k ! constant deviation F[Pdevs1(x)] increasingly dominates over F[Pdevs2(x)] at larger k. The diffuse scattering increases with k !

Correlated Displacements: Atomic size effects a big atoms locate Overall effect: causes an asymmetry in the shape of the Bragg peaks.

Diffuse Scattering from chemical disorder: Concentration of A-atoms: cA; Concentration of B-atoms: cB. Assume cA > cB  When the product is summed over x. # positive > # negative H positive < H ones negative Pdevs(x  0) = 0; Pdevs(0)  0

Let’s calculate Pdevs(0): cAN peaks of cBN peaks of

Total diffracted intensity Just like the case of perfect crystal Total diffracted intensity

The diffuse scattering part is: the difference between the total intensity from all atoms and the intensity in the Bragg peaks