<code>gollum</code>: An intuitive programmatic and visual interface for precomputed synthetic spectral model grids

Jupyter Notebook Python Submitted 16 February 2024 • Published 09 August 2024
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Editor: @warrickball (all papers)
Reviewers: @rhdtownsend (all reviews), @DanielAndreasen (all reviews)

Authors

Sujay Shankar (0000-0002-2290-6810), Michael A. Gully-Santiago (0000-0002-4020-3457), Caroline V. Morley (0000-0002-4404-0456), Jiayi Cao (0000-0002-2466-3816), Kyle Kaplan (0000-0001-6909-3856), Karina Kimani-Stewart (0000-0002-6825-351X), Diana Gonzalez-Argúeta

Citation

Shankar et al., (2024). <code>gollum</code>: An intuitive programmatic and visual interface for precomputed synthetic spectral model grids. Journal of Open Source Software, 9(100), 6601, https://doi.org/10.21105/joss.06601

@article{Shankar2024, doi = {10.21105/joss.06601}, url = {https://doi.org/10.21105/joss.06601}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {100}, pages = {6601}, author = {Sujay Shankar and Michael A. Gully-Santiago and Caroline V. Morley and Jiayi Cao and Kyle Kaplan and Karina Kimani-Stewart and Diana Gonzalez-Argúeta}, title = {<code>gollum</code>: An intuitive programmatic and visual interface for precomputed synthetic spectral model grids}, journal = {Journal of Open Source Software} }
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066