Published June 24, 2024
| Version v2
Dataset
Open
Data for "Superphot+: Realtime Fitting and Classification of Supernova Light Curves"
Authors/Creators
-
de Soto, Kaylee
(Project leader)1
-
Villar, Ashley
(Supervisor)1
-
Berger, Edo
(Project member)1, 2
-
Gomez, Sebastian
(Project member)3
-
Hosseinzadeh, Griffin
(Project member)4
-
Branton, Doug
(Project member)5
-
Campos, Sandro
(Project member)6
-
DeLucchi, Melissa
(Project member)6
-
Kubica, Jeremy
(Project member)6
-
Lynn, Olivia
(Project member)6
-
Malanchev, Konstantin
(Project member)6
-
Malz, Alex I.
(Project member)6
-
1.
Center for Astrophysics Harvard & Smithsonian
-
2.
The NSF AI Institute for Artificial Intelligence and Fundamental Interactions
-
3.
Space Telescope Science Institute
- 4. Steward Observatory, University of Arizona
- 5. DiRAC Institute and the Department of Astronomy, University of Washington
- 6. McWilliams Center for Cosmology, Department of Physics, Carnegie Mellon University
Description
This is the dataset and static code base associated with the paper: "Superphot+: Real-Time Fitting and Classification of Supernova Light Curves". The contents are as follows:
- superphot-plus-v0.0.7.tar: Superphot+ code base downloaded at time of paper submission. Static copy of the Github repo: https://github.com/VTDA-Group/superphot-plus -- This version corresponds to commit: 956b5d555f58800c01a74b3977e0a3b5476ea9cd and tag v0.0.8.
- dataset_spec_pruned.csv: Spectroscopic dataset pruned according to Table 1 of the paper.
- dataset_phot_final.csv: Photometric dataset (without spectroscopic labels) pruned according to Section 2 of the paper. Label and probability columns are values from the ALeRCE-SN classifier.
- model_0.pt: One of the 10 (redshift-independent) LightGBM models trained for 5-way SN classification.
- model_0.yaml: Configuration file associated with model_0.pt.
- model_z_0.pt: Same as model_0.pt, but trained using redshift information.
- model_z_0.yaml: Configuration file associated with model_z_0.pt.
- early_phase_classifier_0.pt: Same as model_0.pt, but trained only using early-phase light curve features. Tailored for realtime classification.
- early_phase_classifier_0.yaml: Configuration file for early_phase_classifier_0.pt.
- probs_concat.csv: Spectroscopic set's classification results without using redshift information.
- probs_z_concat.csv: Spectroscopic set's classification results using redshift information.
- probs_photometric_v2.mrt: Superphot+'s probabilities for the photometric set without using redshift information. Updated to correct for missing IAU names.
Files
dataset_phot_final.csv
Files
(147.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:31999ebceae4bb1b4a3ce2974de1bb69
|
134.6 kB | Preview Download |
|
md5:00167acfab4c77926e7e9334c0b1be3f
|
359.0 kB | Preview Download |
|
md5:766d675e3313d43a6c5073d61b39a51f
|
2.9 MB | Download |
|
md5:0f3c84049e688c06a97876ae3662edc8
|
1.0 kB | Download |
|
md5:e7959d16b0bf600545ee86c26ae2dacd
|
2.9 MB | Download |
|
md5:9e71345b7cd5c9a09fd5567778915462
|
1.2 kB | Download |
|
md5:5eccf92cd3f134c388673b8e9b320557
|
2.8 MB | Download |
|
md5:c7baed20c7a7a6cd3ca0e4ce75401fd0
|
1.3 kB | Download |
|
md5:8848d8b8e2fc82f2b55643d775ff7e3b
|
675.4 kB | Preview Download |
|
md5:9b465015f950f27b4ea2c8b111b47d6f
|
232.8 kB | Download |
|
md5:675d031c6028742975c0160ee2c99769
|
673.3 kB | Preview Download |
|
md5:dd28d2908396c8fce3beaa440ba7adcb
|
137.2 MB | Download |
Additional details
Related works
- Is described by
- Preprint: arXiv:2403.07975 (arXiv)
Software
- Repository URL
- https://github.com/VTDA-Group/superphot-plus
- Programming language
- Python
- Development Status
- Active