Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope

doi:doi:10.57702/48424y7y

Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope

The dataset used in this paper is a collection of time series data from various environmental sensors, observatory operating conditions, and image quality measurements.

BibTex:

@dataset{Sankalp_Gilda_and_Stark_C_Draper_and_Sébastien_Fabbro_and_William_Mahoney_and_Simon_Prunet_and_Kanoa_Withington_and_Matthew_Wilson_and_Yuan-Sen_Ting_and_Andrew_Sheinis_2024,
    abstract = {The dataset used in this paper is a collection of time series data from various environmental sensors, observatory operating conditions, and image quality measurements.},
    author = {Sankalp Gilda and Stark C. Draper and Sébastien Fabbro and William Mahoney and Simon Prunet and Kanoa Withington and Matthew Wilson and Yuan-Sen Ting and Andrew Sheinis},
    doi = {10.57702/48424y7y},
    institution = {No Organization},
    keyword = {'CFHT', 'MegaCam', 'astronomy', 'image quality', 'machine learning'},
    month = {dec},
    publisher = {TIB},
    title = {Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope},
    url = {https://service.tib.eu/ldmservice/dataset/uncertainty-aware-learning-for-improvements-in-image-quality-of-the-canada-france-hawaii-telescope},
    year = {2024}
}