The program started in 2011 with the aim to classify all transients that are accessible from Asiago and are bright enough for our telescope/instrumentation. We use mainly the 1.82m Copernico telescope of Cima Ekar and, if not available, the 1.22m Galileo telescope of the Pennar station. A few cases of transients classified by our group with other facilities (eg. TNG) are included in the database.
Transient classification information and spectra (fits format) are made immediately available at our site. The spectra are semi-automatic reduction with archive calibration data. Please keep this in mind when using them.
For SN classification we compare the output of two automatic SN classification codes: Gelato (Harutyunyan et al. 2008, A&A 488, 383) and SNID (Blondin and Tonry 2007, Ap.J. 666, 1024).
If you use some of the information posted in these pages please make a reference to the paper Tomasella etal. 2014, A.N. 335, 841.
Discovered by: ZTF
The Asiago Transient Classification Program (Tomasella et al. 2014, AN, 335, 841) reports the spectroscopic observation of AT2019ava, AT2019avi. The targets were supplied by ZTF and ATLAS surveys.The observations were performed with the Asiago 1.82m Copernico Telescope (+AFOSC; range 340-820 nm; resolution 1.4 nm).
Survey name | IAU name | Host galaxy | Disc. Date (UT) | Obs. Date (UT) | redshift | type | phase | notes ZTF19aahulyd | SN2019ava | KUG 0728+583 | 2019-02-12 13:15:26 | 2019-02-13 00:48:46 | 0.039807 | Ia | before max | (1) ZTF19aailexm | SN2019avi | 2MASX J10013204+3915367| 2019-01-08 10:43:05 | 2019-02-12 22:46:24 | 0.06303428 | Ia | before max | (2)
(1) Spectrum similar to those of several type Ia SNe, few days before maximum light. Redshift of the host galaxy KUG 0728+583 is from Rines et al. 2000 (AJ 120, 2338 via NED). Using this redshift, an expansion velocity of about 12900 km/s is derived from the SiII 635.5 nm minimum.
(2) Spectrum similar to several type Ia SNe, about one week before B maximum. The redshift is derived from the lines of the host galaxy.
The classification was performed using the GELATO (Harutyunyan et al. 2008, A&A, 488, 383)
and SNID (Blondin and Tonry 2007, ApJ, 666, 1024) tools.