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RGES-PIT/MachineLearning

Machine Learning Tier This dataset is a collection of synthetic microlensing light curves from the Nancy Grace Roman Space Telescope Galactic Bulge Time Domain Survey. It is intended for the training and benchmarking of machine learning models for microlensing event classification, parameter estimation, and anomaly detection. The raw distribution of event properties is not representative of what Roman will see, but should span a statistically larger set of events. More… See the full description on the dataset page: https://huggingface.co/datasets/RGES-PIT/MachineLearning.

sourceHugging Facecc0-1.0updated 2mo agoView on Hugging Face
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fileRMDC26_ML_Data_epoch.parquet3.9 MBdownload
fileRMDC26_ML_Data_meta.parquet142.3 MBdownload
fileRMDC26_ML_Data_obs.parquet162.27 GBdownload

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