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Update paper.md
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@arfon
arfon authored Jun 7, 2017
commit 40f94574a0e0a830d1319435d1df7f0f67f6b992
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Expand Up @@ -10,32 +10,34 @@ tags:
authors:
- name: Sean M. Anderson
orcid: 0000-0002-4809-921X
affiliation: none
affiliation: 2
- name: Bernardo S. Mendoza
orcid: 0000-0002-8546-0262
affiliation: 1
affiliations:
- name: Centro de Investigaciones en Óptica, A. C.
index: 1
- name: None
index: 2

date: 07 February 2017
bibliography: paper.bib
---

---
nocite: |
nocite: |
@andersonFMATS17, @andersonPRB16b, @andersonPRB16a, @andersonPRB15, @andersonARXIV16, @andersonthesis
---

# Summary

`SHGYield.py` is a python program for calculating the surface second-harmonic generation (SSHG) yield (in reflectance) for semiconductor surfaces.
`SHGYield.py` is a python program for calculating the surface second-harmonic generation (SSHG) yield (in reflectance) for semiconductor surfaces.

SSHG is an effective, nondestructive, and noninvasive probe for studying surface and interface properties, and even for characterizing buried interfaces and nanostructures. The high surface sensitivity of SSHG spectroscopy is due to the fact that within the dipole approximation, the bulk SHG response in centrosymmetric materials is identically zero. The SHG process can occur only at the surface where the inversion symmetry is broken.
SSHG is an effective, nondestructive, and noninvasive probe for studying surface and interface properties, and even for characterizing buried interfaces and nanostructures. The high surface sensitivity of SSHG spectroscopy is due to the fact that within the dipole approximation, the bulk SHG response in centrosymmetric materials is identically zero. The SHG process can occur only at the surface where the inversion symmetry is broken.

This program has several potential applications and uses:
* determining and analyzing the physical origin of SSHG spectra
* predicting and characterizing the radiated SSHG for interesting new materials
* characterizing thin films based on measured SH spectra
* allowing the experimenter to calculate and analyze the SSHG yield to optimize experiments

- determining and analyzing the physical origin of SSHG spectra
- predicting and characterizing the radiated SSHG for interesting new materials
- characterizing thin films based on measured SH spectra
- allowing the experimenter to calculate and analyze the SSHG yield to optimize experiments

For example, the figure below is an overview of the angular dependence of the reflected SHG Yield from the Si(111)(1x1)H surface. Experimentalists will find this very useful, as they can plan the experiment accordingly in order to optimize the output signal strength and polarization.

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