Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using Bayesian Analysis and Gaussian Processes to Infer Electron
  Temperature and Density Profiles on the MAST Experiment   A unified, Bayesian inference of midplane electron temperature and density
profiles using both Thompson scattering (TS) and interferometric data is
presented. Beyond the Bayesian nature of the analysis, novel features of the
inference are the use of a Gaussian process prior to infer a mollification
length-scale of inferred profiles and the use of Gauss-Laguerre quadratures to
directly calculate the depolarisation term associated with the TS forward
model. Results are presented from an application of the method to data from the
high resolution TS system on the Mega-Ampere Spherical Tokamak, along with a
comparison to profiles coming from the standard analysis carried out on that
system.

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The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
1
The categories of this paper are: cs
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th