Padova-Asiago Supernova Group
The Asiago Transient Classification Program

Presentation
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.

Latest classifications
sn galaxy RA DEC discoverer type redshift ref class fits
CGCG093-074 10:13:48.2 +18:07:38.68 Atlas II 0.012 REF
fits
  08:24:38.400 +54:40:26.16 ATLAS Ia 0.063219 REF
fits
  07:55:00.120 +42:46:10.39 ATLAS Ia-91T 0.067683 REF
fits
  03:22:28.304 +38:26:16.75 ATLAS Ia 0.069 REF
fits
  04:11:12.891 +82:13:45.47 ATLAS CV   REF
fits


2022ffg in CGCG093-074
2022ffg in CGCG093-074
Discovered by: Atlas
The Asiago Transient Classification Program (Tomasella et al. 2014, AN, 335, 841) reports the spectroscopic observation of AT2022ffg in CGCG 093-074 (z = 0.011994, SDSS DR13 2016 via NED). The observation was obtained with the Asiago 1.82m Copernico Telescope equipped with AFOSC (VPH6 and VPH7, spectral range 330-930 nm, Resol. 1.5 nm). The spectrum confirms that SN 2022ffg is a young Type II SN, characterised by narrow flash features as reported by Pellegrino at al. TNS Classification Report No. 12173 [ 2022TNSCR.808....1P ] 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.