Korg

fast 1D LTE stellar spectral synthesis

https://github.com/ajwheeler/korg.jl

Science Score: 36.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    2 of 7 committers (28.6%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.3%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

fast 1D LTE stellar spectral synthesis

Basic Info
Statistics
  • Stars: 57
  • Watchers: 6
  • Forks: 9
  • Open Issues: 39
  • Releases: 89
Created over 5 years ago · Last pushed 9 months ago
Metadata Files
Readme License Codemeta

README.md

Korg.jl

Documentation Tests codecov Aqua QA

Korg is a package for computing stellar spectra from 1D model atmospheres and linelists assuming local thermodynamic equilibrium. It can be used with Julia or Python. Here's some things it can do: - Computing spectra from Teff, logg, abundances, etc. - Fitting whole spectra or individual lines via synthesis or equivalent widths - Excitation-ionization balance from equivalent width data - Model atmosphere interpolation, parsing and using atmosphere files (MARCS) - Parsing and using linelists in VALD, Kurucz, MOOG, ExoMol, and Turbospectrum formats, with several defaults built-in. - Automatic differentiaion (via ForwardDiff.jl) - Synthesis with arbitrary abundances/solar abundance scales, with several defaults built-in.

After installing Korg, get started by looking at the top-level functions or the tutorial notebooks.

Example

(Python version below) ```julia using Korg, PyPlot

wls, flux, continuum = synth( Teff=5000, # effective temperature of 5000 Kelvin logg=4.32, # surface gravity of 10^(4.32) cm/s² mH=-1.1, # metallicity, [m/H]. Overridden for individual elements by alphaH and individual abundances C=-0.5, # The Carbon abundance, [C/H]. Works for anything from He to U. linelist=Korg.getGALAHDR3_linelist(), wavelengths=(5850, 5900) )

plot

figure(figsize=(12, 4)) plot(wls, flux, "k-") xlabel(L"$\lambda$ [Å]") ylabel(L"$F\lambda/R\mathrm{star}^2$ [erg s$^{-1}$ cm$^{-5}$]"); ``` spectrum

See the documentation for synth, or the documentation for synthesize for advanced usage.

Code papers (please cite these if you use Korg):

Tutorials:

Getting help

If you are having trouble using or installing Korg, please get in touch by opening a GitHub issue (preferred), or sending Adam an email.

You can also call Korg from python

See the documentation for setup instructions. ```python from juliacall import Main as jl jl.seval("using Korg"); Korg = jl.Korg

calling Korg.synth is exactly the same as in Julia.

wls, flux, continuum = Korg.synth( Teff=5000, logg=4.32, mH=-1.1, C=-0.5, linelist=Korg.getGALAHDR3linelist(), wavelengths=(5850, 5900) ) ```

Multithreading

Korg can use multithreading to speed up line opacity calculation, the most expensive step for syntheses. To use it launch Julia with more than one thread, using the -t command-line argument, or by setting the $JULIA_NUM_THREADS environment variable.

Owner

  • Name: Adam Wheeler
  • Login: ajwheeler
  • Kind: user
  • Company: Ohio State University

CodeMeta (codemeta.json)

{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "name": "Korg: 1D local thermodynamic equilibrium stellar spectral synthesis",
  "description": "Korg computes stellar spectra from 1D model atmospheres and linelists assuming local thermodynamic equilibrium and implements both plane-parallel and spherical radiative transfer. The code is generally faster than other codes, and is compatible with automatic differentiation libraries and easily extensible, making it ideal for statistical inference and parameter estimation applied to large data sets.",
  "identifier": "ascl:2211.016",
  "author": [
    {
      "@type": "Person",
      "givenName": "Adam J.",
      "familyName": "Wheeler",
      "@id": "https://orcid.org/0000-0001-7339-5136"
    },
    {
      "@type": "Person",
      "givenName": "Matthew W.",
      "familyName": "Abruzzo",
      "@id": "https://orcid.org/0000-0002-7918-3086"
    },
    {
      "@type": "Person",
      "givenName": "Andrew R.",
      "familyName": "Casey",
      "@id": "https://orcid.org/0000-0003-0174-0564"
    },
    {
      "@type": "Person",
      "givenName": "Melissa K.",
      "familyName": "Ness",
      "@id": "https://orcid.org/0000-0001-5082-6693"
    }
  ],
  "citation": "https://ui.adsabs.harvard.edu/abs/arXiv:2211.00029",
  "relatedLink": [],
  "codeRepository": [
    "https://github.com/ajwheeler/korg.jl"
  ],
  "referencePublication": [
    {
      "@type": "ScholarlyArticle",
      "url": "https://ui.adsabs.harvard.edu/abs/2023AJ....165...68W/abstract",
      "@id": "https://doi.org/10.3847/1538-3881/acaaad"
    }
  ],
  "license": "https://spdx.org/licenses/BSD-3-Clause.html"
}

GitHub Events

Total
  • Create event: 102
  • Commit comment event: 22
  • Issues event: 53
  • Release event: 9
  • Watch event: 16
  • Delete event: 87
  • Issue comment event: 159
  • Push event: 343
  • Pull request review event: 43
  • Pull request review comment event: 72
  • Pull request event: 151
  • Fork event: 4
Last Year
  • Create event: 102
  • Commit comment event: 22
  • Issues event: 53
  • Release event: 9
  • Watch event: 16
  • Delete event: 87
  • Issue comment event: 159
  • Push event: 343
  • Pull request review event: 43
  • Pull request review comment event: 72
  • Pull request event: 151
  • Fork event: 4

Committers

Last synced: about 3 years ago

All Time
  • Total Commits: 752
  • Total Committers: 7
  • Avg Commits per committer: 107.429
  • Development Distribution Score (DDS): 0.383
Top Committers
Name Email Commits
Adam Wheeler a****r@c****u 464
Adam Wheeler w****3@o****u 140
Adam Wheeler a****r@g****m 67
Matthew Abruzzo m****o@g****m 61
Andy Casey a****y@g****m 9
CompatHelper Julia c****y@j****g 8
github-actions[bot] 4****]@u****m 3
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 107
  • Total pull requests: 407
  • Average time to close issues: 5 months
  • Average time to close pull requests: 12 days
  • Total issue authors: 15
  • Total pull request authors: 10
  • Average comments per issue: 3.0
  • Average comments per pull request: 1.1
  • Merged pull requests: 321
  • Bot issues: 0
  • Bot pull requests: 32
Past Year
  • Issues: 44
  • Pull requests: 180
  • Average time to close issues: 5 days
  • Average time to close pull requests: 9 days
  • Issue authors: 9
  • Pull request authors: 8
  • Average comments per issue: 0.34
  • Average comments per pull request: 0.73
  • Merged pull requests: 130
  • Bot issues: 0
  • Bot pull requests: 16
Top Authors
Issue Authors
  • ajwheeler (66)
  • segasai (14)
  • mabruzzo (9)
  • zachway1996 (3)
  • andrew-saydjari (3)
  • svenbuder (2)
  • tadmatsuno (2)
  • fredifqh (1)
  • djohn134 (1)
  • catmanea (1)
  • andycasey (1)
  • shbhuk (1)
  • zachway (1)
  • JuliaTagBot (1)
  • 13emilygriffith (1)
Pull Request Authors
  • ajwheeler (352)
  • github-actions[bot] (26)
  • dependabot[bot] (6)
  • mabruzzo (5)
  • andycasey (5)
  • andrew-saydjari (4)
  • CharleskingSpikeArphience (3)
  • pacargile (2)
  • abhro (2)
  • cgarling (2)
Top Labels
Issue Labels
performance (3) precision (3) enhancement (2)
Pull Request Labels
dependencies (6) github_actions (6) documentation (1)

Packages

  • Total packages: 1
  • Total downloads:
    • julia 30 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 89
juliahub.com: Korg

fast 1D LTE stellar spectral synthesis

  • Versions: 89
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 30 Total
Rankings
Dependent repos count: 9.9%
Stargazers count: 26.7%
Average: 27.2%
Forks count: 33.3%
Dependent packages count: 38.9%
Last synced: 9 months ago

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