elliptical_trajectory

A Jupyter notebook that allows one to create stellar trajectories

https://github.com/jaadt7/elliptical_trajectory

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.6%) to scientific vocabulary

Keywords

astrophysics stellar-astrophysics trajectories
Last synced: 11 months ago · JSON representation ·

Repository

A Jupyter notebook that allows one to create stellar trajectories

Basic Info
  • Host: GitHub
  • Owner: jaadt7
  • License: gpl-3.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 9.43 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 2
  • Open Issues: 0
  • Releases: 1
Topics
astrophysics stellar-astrophysics trajectories
Created over 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

DOI

elliptical_trajectory

The interpulse time in Thermal Pulsing Asymptotic Giant Branch (TP-AGB) stars is of utmost importance to nuclear astrophysicists as it is where the main branch of the s-process occurs. The variation of the neutron flux as a function of temperature in the time between the pulses from the MESA code is used as the template for the parametrization, and an elliptical trajectory was deemed most appropriate.

This repository aims to create approximate trajectories to mimic those that occur in TP-AGB stars. As stellar codes can take a very long time to run. The trajectory_builder notebook can create an approximative trajectory one could use to run preliminary s-process type calculations, or others of interest.

The first notebook, trajectorybuilder, takes three input coordinates in that space, approximates an elliptical trajectory, and saves the data to file. The notebook itself contains all the documentation required to run it. You can download it and run it locally, or run it on Google Colab [Open In Colab](https://colab.research.google.com/github/jaadt7/ellipticaltrajectory/blob/master/trajectory_builder.ipynb)

The second notebook, gallery, is a duplicate of trajectorybuilder in terms of built-in functions. It contains images and animations showcasing some trajectories of interest. As the first, you can simply download it and run it locally, or run it on Google Colab [Open In Colab](https://colab.research.google.com/github/jaadt7/ellipticaltrajectory/blob/master/gallery.ipynb)

Owner

  • Name: Jaad Tannous
  • Login: jaadt7
  • Kind: user
  • Location: Clemson S.C.
  • Company: Clemson University

Currently a Ph.D. candidate at Clemson University. My research focus is on stellar evolution and nucleosynthesis, specifically the s-process

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Elliptical Trajectory Builder
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Jaad
    family-names: Tannous
    email: jtannou@g.clemson.edu
    affiliation: Clemson University
    orcid: 'https://orcid.org/0000-0002-9970-6454'
repository-code: 'https://github.com/jaadt7/elliptical_trajectory'
license: GPL-3.0
version: 1.0.0
date-released: '2023-08-01'

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