OMB Individually Reported
Flarenet
Low riskExact public inventory row
Description
Developing a CNN model to identify stellar flares in the 20-second cadence TESS data product.
Detailed example
predictions for each time step whether there is likely a flare.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Quickly and uniformly identify flares for a large number of stars, which saves time and allows for larger flare samples.
Controls / human review
ATO: Not reported; PIA: Not published