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The codes and datasets for the paper 'LSST Cadence Strategy Evaluations for AGN Time-series Data in Wide-Fast-Deep Field'

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XinyueSheng2019/LSST_AGN_SRNN_Paper

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LSST_AGN_SRNN_Paper

The codes and datasets for the paper 'LSST Cadence Strategy Evaluations for AGN Time-series Data in Wide-Fast-Deep Field'

Authors: Xinyue Sheng, Nicholas Ross, Matt Nicholl

The training and test datasets link:

https://www.kaggle.com/sherrysheng97/srnn-training-data-drw

https://www.kaggle.com/sherrysheng97/srnn-training-data-dho

These are JSON files. Each JSON file corresponds to an object, with the combination of different bands and five cadence strategies.

Simulated AGN parameters by CARMA

https://www.kaggle.com/sherrysheng97/simulated-agn-light-curves-by-carma

This large dataset includes DRW, DHO-underdamped, DHO-overdamped cases parameter sets.

For each simulated dataset, id, CARMA parameters, redshift, ra and dec are provided.

CARMA parameters recovery based on SRNN and LSST

https://www.kaggle.com/sherrysheng97/carma-parameters-recovery-based-on-srnn-and-lsst

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The codes and datasets for the paper 'LSST Cadence Strategy Evaluations for AGN Time-series Data in Wide-Fast-Deep Field'

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