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Introduction to the analysis of Introduction to the analysis of EXAFS data EXAFS data [email protected] [email protected] Carlo Carlo Meneghini Meneghini

Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

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Page 1: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Introduction to the analysis of Introduction to the analysis of EXAFS data EXAFS data

[email protected]@fis.uniroma3.it

Carlo Carlo MeneghiniMeneghini

Page 2: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

XAFS_tutorial_Grado2013

Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf

IFEFFIT

VESTA

Data

Notepad++

Grado2013_XAFS_TUTORIAL

a-Ge

A-GeO2

Cu

Cu 10K

Fe_align

W

LCA

PDF slides: https://db.tt/UmF9HOc2

Complete directory

http://dl.dropbox.com/u/20746560/Meneghini_EXAFS-Tutorial-DUINO-2011.zip

Page 3: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Characteristics of a XAS spectrumCharacteristics of a XAS spectrum

Pre-edge background

Near Edge Region

(XANES)

Edge Energy

Post edge atomic

backgroundJ

ump

µt

Page 4: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Data collection

Extraction of XAFS structural signal: χ(k)

Structural refinement

Check the results

END

Preliminary data treatment

Structural model(s)

revi

sion

revi

sion

revision

XAFS ANALYSIS: from the experimental data to results

Page 5: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

XAFS rarely gives absolute quantitative details

Optimize your Optimize your beamtime!beamtime!

Choose properly the experimental set-up &

sample preparation

Choose properly data

collection strategy

Check the data quality during the experiment Always measure

reference data

Proposal submission + proposal Proposal submission + proposal evaluation + beamtime scheduling evaluation + beamtime scheduling

== 6 to 12 months 6 to 12 months !!

- Check the proposal submission deadlines,

- discuss your experiment with local contacts,

- check your data during the experiment

It is difficult to It is difficult to obtain new beamtime obtain new beamtime for the same proposal for the same proposal

in case of failure!!!!in case of failure!!!!

Quality is better than quantity

ELETTRA: 15-09 + 15-03

ESRF: 01-09 + 01-03

XANES/EXAFS

Fluo/TEY/transmission

….

Data collection

Page 6: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Errors in XAFS data analysis Errors in XAFS data analysis are dominated by are dominated by systematic errorssystematic errors::

-- spurious structures spurious structures

-- background subtractionbackground subtraction

-- wrong modelswrong models

-- inaccurate theory inaccurate theory

Data collectionExperimental set-up &

sample preparation

Transmission: massive concentrated samples

inhomogeneities, holes, not parallel surfaces, etc...

Fluorescence: thin concentratedthick diluted samples

Self absorption, detector linearity, Bragg reflections

TEY: thick concentratedSurface sensitivity, sample charge, Bragg reflections

a

- step scan / quick EXAFS

- Fixed Energy or K steps

- single scan/repeated scans

- temperature points

- . . .

Collection strategyb

Data quality

S/N ratio

glitches

discontinuities

c

IXS Standards and Criteria Subcommittee Reports

Measure reference samples

d

1-energy calibration

2-data analysis procedurescalibration

The power of XAFS technique consistsin highlighting the smallest structural

differences

Page 7: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

-0.0006

-0.0004

-0.0002

0

0.0002

0.0004

13200 13500 13800

α(E)

E (eV)

0.3

0.6

0.9

1.2

12000 12300 12600 12900 13200 13500

α(E)

E (eV)

J

High degree polynomial

-0.0003

-0.0002

-0.0001

0

0.0001

0.0002

0.0003

13200 13500

α(E)

E (eV)

0 5 10 15 20 25 30

σ = 1.1e-4

S/N ~ J/σ

Evaluate S/N ratio

Check Check regularly regularly

during the during the experimentexperiment

Page 8: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

0.3

0.6

0.9

1.2

12000 12300 12600 12900 13200 13500

α(E)

E (eV)

Glitches

Discontinuities

Check systematically during the experimentCheck systematically during the experiment

edge shift

I0I1I2

Ref.Sample Sample

Iref=ln I1/I2 Iexp=ln Io/I1

Page 9: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Select properly the best spectra and useful data regions

Sum together the best spectra

Preliminary data treatment

- Self absorption corrections -deglitching-data interpolation- data alignement

don't use blue one!

Weighting by S/N

a

b

c

Absorption signal

Transmission

Fluorescence & TEY

Check carefully the Check carefully the data quality during data quality during

the experimentthe experiment

Preliminary data treatment

µx<<1

Experimental set-up generally provide macros for automatic data collection over

several days: supervise your macros!

Page 10: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

α= αO + αpre αo calculation

Fourier Transform

Fourier Filtering

pre-edge subtraction

structural signal χ(k)

Structural refinement

XAFS structural signal

Absorption signal

Transmission

Fluorescence & TEY

revise preliminary tratments

µo = free atom absorptionµ = embedded atom absorptionpre = all but the absorber

Extract χ(k) structural signal

αO = (µO+µ)t

Page 11: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Background subtraction

calculate µo and χ(k) Fourier Transform

a

bc

pre = aE+b

pre = α(E) - pre

Page 12: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Structural signal

Define Eo

µo = represents the bare atom absorption.

It is calculated empirically as a smooth curve across the data.

Different XAFS data analysis software apply different

(generally equivalent) methods

Requirements for µo:1) Smooth enough to not remove true structural features2) Structured enough to remove background structures

∆k

Calculate k

Define µo

Calculate χ(k)

Check FT

Large |FT| contributions at low (unphysical)

distances may signify "wrong µµµµo"

Note: Multiple excitations my affect the background with

(small) discontinuities

A. Di Cicco et Al. Phys. Rev. B 62, 12001 (2000)

Eo

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Fourier TransformShape of FT widely changes

as a function of:• FT window• kw weight• data range

k3χ(k)

kχ(k) kχ(k)

k3χ(k)

FT shows more intuitively the main structural features

in the real space: the FT modulus represent a pseudo-radial distribution function modified by the effct of

amplitude, phase and mean free path parameters:

|FT| peaks point out interatomic correlations

Peak positions are not the true distances due to the photoelectron phase shift

Page 14: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Fourier Filteringk3χ(k)

FT

Back Fourier transform

(BFT)

Fourier filtering allows isolating contributions of selected regions of

the FT

Background contribution

Page 15: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Choose a model

Refine the structural parameters: N, R, σ2

Select the relevant structural contributions

add new contributions?

Change the model?

Y

Y

END

Revise your data extraction?

Y

Theoretical χ(k)

expfit

Experimental χ(k)

Exp. χ(k)

data refinement

n

n

Page 16: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Choose a structural model

Barns.ill.fr

Full inorganic structuredatabase (ICSD) (registration fees)

Protein Data Base(Free)

How to find a model structure

How to visualize the structure

How to calculate distances and

geometries

http://database.iem.ac.ru/mincryst/

http://millenia.cars.aps.anl.gov/cgi-bin/atoms/atoms.cgi

Search on the web !

Page 17: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

expfit

How a data refinement

program works

Amplitude and phase functions from atomic cluster models

experimental data

Theoretical formula

Page 18: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

http://www.esrf.eu/computing/scientific/exafs/FEFF home-page

GNXAS home-page

XAFS data analysis software

XAFS organizations

XAFS data analysis

http://feff.phys.washington.edu/feff/

http://gnxas.unicam.it

http://cars9.uchicago.edu/ifeffit/

exp

fit

Am

orph

ous

& d

isor

der

ed s

yste

ms

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Install Ifeffit.exe

1. athena GUI for Data Processing with Ifeffit

2. artemis GUI for XAFS Fitting with Ifeffit

3. hephaestus GUI for general x-ray properties of the elements

4. sixpack GUI for XAFS Processing and Fitting with Ifeffit

5. feff6L Stand-alone program for ab inito EXAFS calculations

6. atoms Stand-alone, command line crystallography->feff.inp

7. autobk Stand-alone background removal program

8. feffit Stand-alone FEFF fitting program

9. ifeffit command-line version of Ifeffit

advantages:•Freeware, multiplatform (Win, Mac, Linux) • easy to handle, • semi-automatic procedures

drawbacks:

• easy to handle, • semi-automatic procedures

Ifeffit.exe

Page 20: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Inside the Ifeffit directory

Manuals and Manuals and tutorialstutorials

EstractEstract χχ(k(k))

data fittingdata fitting Info on the Info on the proposed proposed exampleexample

Database of Database of crystallographic crystallographic

structures as *.structures as *.inpinpfiles for files for AtomsAtoms

Configuration files: Configuration files: NOT FOR NEWBIES NOT FOR NEWBIES

Page 21: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Data collection

Extraction of XAFS structural signal: χ(k)

Structural refinement

Check the results

END

Preliminary data treatment

Structural

model(s)

revi

sion

revi

sion

revision

Page 22: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Preliminary data treatment &

Extraction of XAFS structural signal: χ(k)

List of files (group) opened into Athena

Plot highlighted files

Plot (several) marked files

Options for plot

Warning: check if the full windows is visible on your PC, smal screens (i.e. e-pc) may

cut the lower part

Warning: check the graphic windows and never close it

leaving Athena/Artemis open… sometime the PC

crashes

Page 23: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Open cu_foil_10k.dat into Athena

Example 1: Cu 10 K

Exercise 1:

Look at the results obtained using the

automatic extraction playing with plot options

Page 24: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Takes the value from the cursor on the graph window

Exercise 2: Look at the effects of changing background subtraction parameters

R cut off for automatic background calculation

- Change Eo

- Change Rbkg

- ....

Rbkg = 0.2

Rbkg = 1 Rbkg = 2

Select Eo

Cut off structural information !!!!

Page 25: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Exercise 3: in Real space look at the effects of changing extraction

and FT parameters

FT of: kkwχ (k)

R- spaceK- space

Page 26: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Exercise 4: in q (Back Fourier) space look at the effects of changing BF

parameters and regions

Page 27: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Exercise 5: Data treatment

Shifts the spectrum to have selected point (reference at) at the calibration energy

(calibrate to)

Experimental data

Shifted data

Page 28: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Save:

cu_foil_10k.dat.chi

χ(k) is required for ARTEMIS

Note: Arthemis requires equispaced k data !!!

(i.e. δk = 0.05)

You cannot use χχχχ data if not equispaced

Page 29: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Working with several files

Go into the Fe_Align directory

Open all Fe files into Athena

Fe 60 K, scan 1Fe 60 K, scan 2Fe 60 K, scan 3

Fe 300 K, scan 2

Fe 300 K, scan 1

Fe 150 K, scan 1Fe 150 K, scan 2

Temperature effect on EXAFS and FT data

Page 30: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Exercise 6: align Eo

Open Fe files into Athena

Eo is shifted among the files !!!

Page 31: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Exercise 7: Merge several files

Fe 60 are now aligned

Page 32: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Full Exercise:

1. Read Fe Files

2. Align Fe files on order to have the same Eo

3. Merge files having the same T

4. Save χ(k) of merged files, to be used for the structural analysis

Page 33: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Structural model & Data refinement

Cu-fcc

metalSPG: fcc, f m 3 m (# 220)a = 3.61 ACu 0.0 0.0 0.0

I

II

III V

IV

Sh R N RCu(A)

I: a/sqrt(2) 12 2.553

II: a 6 3.610

III: a.sqrt(1.5) 24 4.421

IV: a.sqrt(2) 12 5.105

V: a.sqrt(2.5) 24 5.708

....

icsd_43493_Copper.cif

You can visualize the structure using VESTA program

Page 34: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Depends on what is highlighted in the Data & Paths panel

Structural model & Data refinement

Start the ARTEMIS program

Controls for plotting

Start the refinement

Warning: check the full windows is visible on

your PC, smaller screens may cut the

lower part

The ARTEMIS panel

Warning: check the graphic windows and never close it leaving

Athena/Artemis open…sometime the PC

crashes

Page 35: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Structural model & Data refinement

Theory� new atoms page

- Import Cu.inp file from the Cu_10k directoryOr- Blank Atom page (you must type the crystallographic info)

Warning: check the full windows is visible on

your PC, smaller screens may cut the

lower part

Page 36: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Sh R N RCu(A)

I: a/sqrt(2) 12 2.553

II: a 6 3.610

III: a.sqrt(1.5) 24 4.421

IV: a.sqrt(2) 12 5.105

V: a.sqrt(2.5) 24 5.708

....

1 3

2 4

5

Define the parameters describing

the structure

Check the distances and multiplicities are those you expect

Page 37: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

1

2

3

Theoretical XAFS and FT for Cu fcc

Page 38: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Open Cu_foil_10k.inp

Using CRTL key you can select groups for plot

Compare model and experimental data

Page 39: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

1st shell analysis

Right click

remove all paths or

restart ARTEMIS

add 1st shell path to the list

select and Right click

Page 40: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Path label

So2

Energy shift

Distance correction

Debye Waller factor

guess: optimized in the refinement

def: math expressions updated during the fit

set: numbers or expressions evaluated once at the fit beginning and not updated

The Data screen allow defining the fitting strategy and

parameters

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ν = Nind-Nvar

Absolute misfit between experimental data and theory

The refinement is performed in Real space, on the Real and Imaginary parts of the FT

Page 42: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Structural results

righ

t cl

ick

Page 43: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

Effects of Fitting parameters

Kwt = 1

Kwt = 3

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Single Scattering

MS + Focusing

Add new contributions

I

II

III V

IV

SS

MS 3-legs

MS 3-legs

MS 4-legs

Visualize the structure and

understand the neighbour

shells!

Take care about multiple

scattering contributions

Page 45: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

1 4

1 4+

1 4+1

1 4+

1 4+

MS paths

+

SS paths

Understand the MS contributions!!!

Focusing effect may raises some MS

contributions well above the SS one

Page 46: Introduction to the analysis of EXAFS datawebusers.fis.uniroma3.it/meneghini/software/Grado_2013_XAFS... · Examples Manuals Software Grado_2013_XAFS_Tutorial.pdf IFEFFIT VESTA Data

In principle different for each shell

In principle the same for each shell

Warning:

The used path must be inside the fit range

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it's your work now!

a. Fe bcc

b. GeO

c. ...