GithubHelp home page GithubHelp logo

che_net_comparison's Introduction

Progenitor stars calculated with small reaction networks should not be used as initial conditions for core collapse

Read the article DOI

Main take home point

If you need progenitors to study multi-dimensional neutrino magneto-hydrodynamics of stellar explosions, whether including rotation or not, do not waste your precious CPUh/GPUh on progenitors computed with approx nuclear reaction networks.

These are great for many things, but not to calculate the weak reactions that determine the fraction of free electrons in the core. They introduce a known systematic uncertainty comparable to unknown in many other physical ingredients, and thus muddy the waters and prevent learning robust conclusion from the explosion of progenitors computed with these.

How to reproduce

Chemically homogeneous stellar models with varying nuclear reaction networks

We computed the stellar models with MESA (version r24.03.1). The folder MESA_templates/ contains template work directories, you just need to edit new_net_name to pick the nuclear reaction network of choice and run the models. The exact template used for the submitted manuscript is also available on zenodo, the folder here may evolve later on.

Figure

From zenodo download the MESA results, stored in 40_rot0.6_large_net.xz for the 128-isotope model run with mesa_128.net and 40_rot0.6_small_net.tar.xz for the 22-isotope (approx21_plus_cr56.net) model.

Download also scripts.tar.xz from zenodo and unpack all in the same folder (or use the scripts/ folder here).

Run compare_two_models.py to produce the figure in the research note. It depends on functions defined in the other *.py files in scripts/. The figure in the manuscript was made with python 3.11.9 and the environment provided in scripts/.

che_net_comparison's People

Contributors

mathren avatar

Watchers

Matteo Cantiello avatar Jared Goldberg avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.