TelescopeML -- I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results

Python Submitted 29 November 2023Published 18 July 2024
Review

Editor: @plaplant (all papers)
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Authors

Ehsan (Sam) Gharib-Nezhad (0000-0002-4088-7262), Natasha E. Batalha (0000-0003-1240-6844), Hamed Valizadegan (0000-0001-6732-0840), Miguel J. s. Martinho (0000-0002-2188-0807), Mahdi Habibi (0000-0001-8530-7746), Gopal Nookula

Citation

Gharib-Nezhad et al., (2024). TelescopeML -- I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results. Journal of Open Source Software, 9(99), 6346, https://doi.org/10.21105/joss.06346

@article{Gharib-Nezhad2024, doi = {10.21105/joss.06346}, url = {https://doi.org/10.21105/joss.06346}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {99}, pages = {6346}, author = {Ehsan (Sam) Gharib-Nezhad and Natasha E. Batalha and Hamed Valizadegan and Miguel J. s. Martinho and Mahdi Habibi and Gopal Nookula}, title = {TelescopeML -- I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results}, journal = {Journal of Open Source Software} }
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Astronomy Exoplanets Brown dwarfs Spectroscopy Atmospheric retrieval Atmospheric models Machine learning Convolutional Neural Network Telescope datasets

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ISSN 2475-9066