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Development of models for ultrashort pulse Coherent Anti-Stokes Raman Spectroscopy (CARS) in reactive gases

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  • Full or part time
    Prof Linne
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

This project involves the development of a numerical code to model the spectra and/or time dependent signals obtained using short pulse (femto-second or pico-/femto-second) Coherent Anti-Stokes Raman Spectroscopy (CARS) in flames or other reactive gases. Detailed implementation of the density matrix equations of quantum mechanics will be used. Some of this work has been done before by other groups, but an Edinburgh code is required to make progress locally. In the first year the student will develop fairly straightforward descriptions of hybrid ps/fs CARS and compare to published spectral measurements. The student will then visit Sandia National Laboratories in the San Francisco Bay area to collaborate with researchers who are developing line- and 2-D-imaging diagnostics for species and temperature using rotational CARS. This will provide an opportunity to gain experimental insight, to publish new measurements in collaboration with Sandia, and to further develop the code. The student will then return to Edinburgh to add sophistication to the code and test it against other results, such as time dependent fs CARS measurements (because the frequency spread dephasing rate for fs CARS is temperature dependent). Upon completion of a PhD there will be opportunities to develop models even further.

The candidate should have a masters degree in Physics, Applied Physics, Chemical Physics, or Physical Chemistry, or a similar degree. Experience with theory and the development of numerical models (e.g. density matrix equations, electronic structure calculations, or similar) is highly desirable.

Funding Notes

Fully-funded.

How good is research at University of Edinburgh in General Engineering?
(joint submission with Heriot-Watt University)

FTE Category A staff submitted: 91.80

Research output data provided by the Research Excellence Framework (REF)

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