Feature: Parse data libraries by true library and temperature.

[MicahGale]

Make so that it can be understand that 80c is ENDF/B-VII.1 at room temp. This way you can either change libraries and preserve temperature or preserve temperature and change libraries.

[MicahGale]

created branch 14-feature-parse-data-libraries-by-true-library-and-temperature to address this issue

[MicahGale]

@BrennaCarbno when you can create a draft merge request for this based off of develop, and tag this issue (#14).

To summarize:

1. MCNPy should know:
   1. The nuclear data library the data is from (e.g., ENDF/B-VIII.0),
   2. The temperature of the data,
   3. and the type of data (e.g., continuous energy neutron cross-sections, versus discrete-energy Photoatomic data, etc.)
2. This will require new object classes, so let's make an object model.
3. We may want to change how the Material object stores data to be more use friendly, but that's not essential for this.

When you have a good idea of how you want to tackle this let's have a review meeting with (@BrennaCarbno, @tjlaboss, and @MicahGale).

[MicahGale]

Remember: users can modify their XSDIR and change their suffixes.

[MicahGale]

From meeting next actions:

1. Parse whole core model with wrapper script
2. Add support for XSDIR maybe? (concerned about EC restrictions on format)
3. Add xsdir parser like: mcnpy.read_xsdir
4. Map xsdir to materials.

Default behavior without XSDIR file? Default to LANL document, and raise a warning.

[MicahGale]

Also should implement #71 concurrently.

[MicahGale]

In GitLab by @tjlaboss on Feb 21, 2023, 15:20

2. LANL has made all that stuff public.

https://github.com/nucleardata/DataListing https://nucleardata.lanl.gov/files/la-ur-08-1999.pdf

[MicahGale]

Ok yeah so definitely no EC concerns. But I think reading XSDIR is the best idea.

Side: why did they bake Jupyter into that tool?

[MicahGale]

WWWhhhhyyyy?

[MicahGale]

In GitLab by @tjlaboss on Feb 21, 2023, 16:28

LANL Did Something

[MicahGale]

marked this issue as related to #71