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Ni et al., 2022 - Google Patents

Data-driven seeing prediction for optics telescope: from statistical modeling, machine learning to deep learning techniques

Ni et al., 2022

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Document ID
15658779476239963215
Author
Ni W
Shen Q
Zeng Q
Wang H
Cui X
Liu T
Publication year
Publication venue
Research in Astronomy and Astrophysics

External Links

Snippet

Predicting seeing of astronomical observations can provide hints of the quality of optical imaging in the near future, and facilitate flexible scheduling of observation tasks to maximize the use of astronomical observatories. Traditional approaches to seeing prediction mostly …
Continue reading at www.raa-journal.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management

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