Problem of satellite trails marring Hubble images is growing worse NatureAstronomy
We trained the model with the 1,613 satellite trails tagged by the volunteers on Hubble Asteroid Hunter and split the sample into 70% training, 15% validation and 15% test sets for AutoML to optimize the hyperparameters of the model and evaluate its performance. The model achieves a precision of 91.7% and recall of 84.4% on the test set, at a 50% classification confidence threshold.
We find a fraction of 8.9 ± 1.1% composite ACS/WFC and 5.8 ± 0.7% composite WFC3/UVIS images crossed by satellites. On average, 3.2 individual exposures were combined to create the composite images. This corresponds to a fraction of HST images with satellites of 2.8 ± 0.3% for the individual ACS/WFC and 1.8 ± 0.2% for individual WFC3/UVIS exposures, an average of 2.4 ± 0.3% for the two instruments.
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