TSADAR Documentation#
Welcome to the TSADAR documentation site!
TSADAR stands for Thomson Scattering with Automatic Differentiation for Analysis and Regression; it is a Thomson scattering data analysis software written in Python. It helps determine plasma parameters given Thomson scattering measurements by fitting the collisionless spectral density function to the observed spectra. More detail on the theory is provided elsewhere [1] and the specifics of implementation can be found in Implementation of Thomson Scattering [2]. If you are new to Thomson scattering, please go to Fundamentals of Thomson Scattering for a quick introduction. The code utilizes fitting via gradient descent, with the gradients are acquired using automatic differentiation and JAX [3]. More details on the numerics will be added soon.
Table of Contents#
References#
[1] - Sheffield, J., Froula, D., Glenzer, S.H. and Luhmann Jr, N.C., 2010. Plasma scattering of electromagnetic radiation: theory and measurement techniques. Academic press.
[2] - Milder, A & Joglekar, Archis & Rozmus, Wojciech & Froula, Dustin. (2024). Qualitative and quantitative enhancement of parameter estimation for model-based diagnostics using automatic differentiation with an application to inertial fusion. Machine Learning: Science and Technology. 5. 10.1088/2632-2153/ad2493.
[3] - google/jax