https://github.com/arm61/daas_toby

https://github.com/arm61/daas_toby

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  • Host: GitHub
  • Owner: arm61
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 899 MB
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Created over 5 years ago · Last pushed over 5 years ago
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README.md

Analysis of radiation damage to phospholipid monolayers

This repository provides the analysis method for a series of phospholipid monolayer (at the air-water interface) systems undergoing radiation damage. The analysis performed herein has been developed by Andrew R. McCluskey, with input from Tom Arnold and Toby Robson.

This aim of this work is to investigate the mechanism of interaction between antioxidant additives and phospholipid monolayers.

Model

The model for the phospholipid monolayer is as follows:

```

air

 tails

 heads

 water

``` Where there is interest in how the parameters change over time as they are exposed to the intense synchrotron radiation beam.

Bayesian Evidence

First, the Bayesian evidence for all permuations of the following parameters were found, tail thickness (tt), roughness (rough), tail solvation (phit) and head solvation (phih) was found. These parameters were either constrainted to a single value as the radiation flux increases or allowed to vary. The following constraints were imposed on all analyses: - Head thickness - th = 10. (this is constrained due to correlation between the head and tail thicknesses in XRR analysis) - Head Volume - mvh = 319. - Tail Volume - mvt = 829. - Roughness was taken to be conformal. - Scale - scale = 1. - Background - bkg = dataset.y.min() (minimum measured reflectometry value)

The Bayesian evidence was found as discussed in Sivia and Skilling for the monolayers 1, 4, 12, 22, and 33. This is plotted below

From this the ?? permutation was applied to all of the monolayers.

Time resolved analysis

Owner

  • Name: Andrew McCluskey
  • Login: arm61
  • Kind: user
  • Location: Copenhagen
  • Company: European Spallation Source

instrument data scientist @essneutron (he/him)

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