TARDIS configuration and emulator weights and training data for "1991T-Like Type Ia Supernovae as an Extension of the Normal Population"
Authors/Creators
- 1. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA
- 2. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA; Department of Computational Mathematics, Science, and Engineering, Michigan State University, East Lansing, MI 48824, USA
- 3. Max-Planck-Institut f\"ur Astrophysik, Karl-Schwarzschild-Str. 1, 85748 Garching, Germany
- 4. Max-Planck-Institut f\"{u}r extraterrestrische Physik, Giessenbachstrasse 1, 85748 Garching bei M\"{u}nchen, Germany
- 5. Max-Planck-Institut f\"ur Astrophysik, Karl-Schwarzschild-Str. 1, 85748 Garching, Germany} \affiliation{Exzellenzcluster ORIGINS, Boltzmannstr. 2, 85748 Garching, Germany
- 6. Machine Learning Research Lab, Volkswagen AG, Munich, Germany
- 7. {Machine Learning Research Lab, Volkswagen AG, Munich, Germany; Faculty of Informatics, E\"otv\"os Lor\'and University, Budapest, Hungary
- 8. Department of Physics, New York University, New York, NY, 10003, USA
- 9. IPAC, MC 100-22, Caltech, 1200 E. California Blvd., Pasadena, CA 91125
Description
This dataset contains two archives of data related to the paper "1991T-Like Type Ia Supernovae as an Extension of the Normal Population"
The first dataset, TARDIS_Emulator_Config.tar.gz , contains the atomic data used to run TARDIS and a template configuration file from which samples are generated including the flags for the physics implementation used.
The second dataset, InferenceScripts.tar.gz, contains the trained probabilistic neural network, the training/validation data (Under NNData), and scripts used to train the model and load and evaluate the model. Scripts that perform inference on spectra, as well as a folder of observed spectra (Under CorrectedSpectra), are included as well. A conda environment yaml file is included to rebuild the Python environment required to run all of the scripts. For questions please email John O'Brien.