Generating synthetic star catalogs from simulated data for next-gen observatories with py-ananke

Jupyter Notebook Python Submitted 23 November 2023Published 23 October 2024
Review

Editor: @warrickball (all papers)
Reviewers: @rrjbca (all reviews), @lheckmann (all reviews)

Authors

Adrien C.r. Thob (0000-0001-7928-1973), Robyn E. Sanderson (0000-0003-3939-3297), Andrew P. Eden (0009-0004-2146-4856), Farnik Nikakhtar (0000-0002-3641-4366), Nondh Panithanpaisal (0000-0001-5214-8822), Nicolás Garavito-Camargo (0000-0001-7107-1744), Sanjib Sharma (0000-0002-0920-809X)

Citation

Thob et al., (2024). Generating synthetic star catalogs from simulated data for next-gen observatories with py-ananke. Journal of Open Source Software, 9(102), 6234, https://doi.org/10.21105/joss.06234

@article{Thob2024, doi = {10.21105/joss.06234}, url = {https://doi.org/10.21105/joss.06234}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {102}, pages = {6234}, author = {Adrien C.r. Thob and Robyn E. Sanderson and Andrew P. Eden and Farnik Nikakhtar and Nondh Panithanpaisal and Nicolás Garavito-Camargo and Sanjib Sharma}, title = {Generating synthetic star catalogs from simulated data for next-gen observatories with py-ananke}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

C++ astronomy galaxies stars simulations mock observations

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066