Star formation and morphological properties of galaxies in the P\lowercase{an}-STARRS 3$\pi$ survey- I.\\ A machine learning approach to galaxy and supernova classification
| Main Authors: | Baldeschi Adriano, Stroh Michael, Margutti Raffaella, MIller Adam, Coppejans Deanne |
|---|---|
| Format: | info dataset |
| Terbitan: |
, 2020
|
| Online Access: |
https://zenodo.org/record/3990545 |
Daftar Isi:
- This is the catalog presented in Baldeschi, et al (2020). The catalog is subdivided in 13 csv files. Files description: First column: Panstar ID (integer) Second column: Right ascension [deg] (float) Third column: Declination [deg] (float) Fourth column: Probability for a source of being a star (P_star) (float) Fifth column: Probability for a galaxy of being higly star-forming (P_HSFF) (float) Sixth column: Probability for a galaxy of being spiral (P_spiral) (float) seventh column: Compleatness flag (string) If using this catalog for publications, please cite Baldeschi, et al (2020). Fourth column values are from Tachibana & Miller (2018). For a detailed description of the columns we refer to the Appendix A of Baldeschi, et al (2020).