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THzTDS

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Obtaining dielectric function of a slab of material in the THz frequency range. Writing software that computes said dielectric function from measurements ... – PowerPoint PPT presentation

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Title: THzTDS


1
THz-TDS
  • Terahertz Time-Domain Spectroscopy

2
1 Introduction
  • The term THz-TDS
  • Topics covered

3
Topics
  • Introduction
  • Aim (of BSc.Thesis)
  • Principles (Theory)
  • Data Analysis
  • Software
  • Experiments
  • Conclusions
  • Questions

4
Aim
  • Obtaining dielectric function of a slab of
    material in the THz frequency range
  • Writing software that computes said dielectric
    function from measurements
  • Writing software to fit measurements to
    theoretical models
  • Increasing the frequency resolution of the
    resulting data

5
Etalons
  • Using the etalon to increase frequency
    resolution too difficult
  • Time signal will have to be cut off at the etalon

6
Principles
  • Optical Rectification
  • P is proportional to E2
  • The carrier-frequency-independent term is thus
    defined by the modulation of the carrier, giving
    shape to the THz pulse

7
Principles
  • THz pulse detection (FEOS)

8
Principles
  • Spectroscopy make two measurements a reference
    measurement, and an actual measurement.
  • The difference between those two describes
    whatever it is we change between the reference
    and actual measurement.

9
Principles
  • Unexcited (spatially homogeneous) sample

10
Principles (unexcited)
11
Principles (unexcited)
  • Assuming the sample is low-absorbing, we get the
    following expressions for the samples index of
    refraction and extinction

12
Principles (excited)
  • Optically excited (spatially inhomogeneous) sample

13
Principles (excited)
14
Principles (excited)
  • tm and fm derived from
  • n and a Numerically solve, using
    Newton-Raphson, from tm and fm.
  • Starting values for n and a perform the same
    computations using the front interface only.

15
Topics
  • Introduction
  • Aim (of BSc.Thesis)
  • Principles (Theory)
  • Data Analysis
  • Software
  • Experiments
  • Conclusions
  • Questions

16
Data Analysis
  • We want frequency-dependent n() and a.
  • We have two time signals.
  • Solution Fourier-Transform the time signals
    yields frequency-dependent attenuation and phase
    retardation.
  • We want to fit the results of the analysis to
    theoretical models (Drude, Lorentz oscillator)

17
Data Analysis (phase unwrapping)
  • Fourier-Transform yields phases between 0 and
    2p.
  • Phase retardation is generally greater then one
    phase.
  • We need phase unwrapping to correct this.

18
Data Analysis (phase unwrapping)
  • The input data may be too noisy to reconstruct f
    (especially at low frequencies).
  • Manual fixing may be needed.

19
Data Analysis (Theoretical models)
  • Drude
  • Lorentz oscillators

20
Software
  • Load the time signals
  • Performs analysis (producing values for n and a)
  • Fixing phase unwrapping errors
  • Exporting results

21
Software
  • Fixing phase unwrapping by clicking bad points
  • Easy to use

22
Software
  • Manual fitting of results to theoretical models
  • Hard to get right

23
Experiments unexcited ZnTe
24
Experiments optically excited GaAs
25
Conclusions
  • Software is functional and easy to use
  • Two types of measurements can be processed
  • Fitting is tedious, but a black-box fitting
    routine is hard to implement.
  • Using the etalons to improve frequency resolution
    proved to be difficult

26
Questions?
27
End
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