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NASA SOHO/LASCO2 comet challenge on AWS

astronomy machine learning

Description

The SOHO/LASCO data set (prepared for the challenge hosted in Topcoder) provided here comes from the instrument’s C2 telescope and comprises approximately 36,000 images spread across 2,950 comet observations. The human eye is a very sensitive tool and it is the only tool currently used to reliably detect new comets in SOHO data - particularly comets that are very faint and embedded in the instrument background noise. Bright comets can be easily detected in the LASCO data by relatively simple automated algorithms, but the majority of comets observed by the instrument are extremely faint, noise-level observations. Comets in SOHO/LASCO data are dynamic and morphologically diverse objects, and thus computationally highly complex to detect and track.

Update Frequency

No updates

License

There are no restrictions on the use of this data.

Documentation

https://ssa.esac.esa.int/ssa/#/pages/home

Managed By

See all datasets managed by NASA.

Contact

ekaterina.m.verner@nasa.gov

How to Cite

NASA SOHO/LASCO2 comet challenge on AWS was accessed on DATE from https://registry.opendata.aws/nasa-soho-comet-challenge-on-aws.

Usage Examples

Publications

Resources on AWS

  • Description
    AI/ML ready data set created using NASA/SOHO/LASCO2 archive data
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::nasa-comets-training-data
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://nasa-comets-training-data/

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