gmcastil / radtools

Tools for processing experimental single event effects (SEE) data

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Tools for processing experimental single event effects (SEE) data

Overview

Coming soon.

Features

Provides the following functionality:

  • Produces cross sections vs. LET of indicated SEE type along with Poisson statistics.
  • Allows user to enerate an initial Weibull fit to the cross section and allows real time manipulation of the function.
  • Produces publication quality figures of cross sections.

Motivation

As Eric S. Raymond once wrote, "Every good work of software starts by scratching a developer's personal itch". Most datasets that result from SEE testing are in Microsoft Excel, since that tends to be the lowest common denominator among engineers. However, generating figures that are readable and suitable for distribution in Excel tends to be a hassle. The difficulty gets compounded when there are upper bounds involved, Poisson statistics to be added to each cross section, and Weibull curves to be added. Even if you get the data plotted that you want, it still looks awful and invariably, the image gets put into a presentation of some sort and the results are grainy and unreadable from the back of the room.

This was my personal itch and I figured there had to be a better way.

Examples

Coming soon.

About

Tools for processing experimental single event effects (SEE) data

License:Other


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Language:Python 100.0%