Volume 488, Number 1, September II 2008
|Page(s)||383 - 399|
|Section||Catalogs and data|
|Published online||22 May 2008|
ESC supernova spectroscopy of non-ESC targets*
INAF – Osservatorio Astronomico di Padova, Vicolo dell'Osservatorio 5, 35122 Padova, Italy e-mail: firstname.lastname@example.org
2 Dipartimento di Astronomia, Università degli Studi di Padova, Vicolo dell'Osservatorio 3, 35122 Padova, Italy
3 Max-Planck-Institut für Astrophysik, Karl-Schwarzschild-Str. 1, 85741 Garching bei München, Germany
4 Astrophysics Research Centre, School of Mathematics and Physics, Queen's University Belfast, Belfast BT7 1NN, UK
5 European Southern Observatory (ESO), Karl-Schwarzschild-Str. 2, 85748 Garching bei München, Germany
6 Dipartimento di Fisica, Università di Ferrara, via Saragat 1, 44100 Ferrara, Italy
7 Department of Physics, Stockholm University, AlbaNova University Center, 10692 Stockholm, Sweden
8 Institute of Astronomy, Madingley Rd., Cambridge CB3 0HA, UK
9 Departamento de Astronomía, Universidad de Chile, Casilla 36-D, Santiago, Chile
Accepted: 21 April 2008
Aims. We present the spectra of 36 supernovae (SNe) of various types, obtained by the European Supernova Collaboration. Because of the spectral classification and the phase determination at their discovery the SNe did not warrant further study, and the spectra we present are the only ones available for the respective objects. In this paper we present and discuss this material using a new software for the automated classification of SNe spectra.
Methods. As a validation of the software, we verify the classification and phase estimate reported for these objects in their discovery/classification circulars. For the comparison, the software uses the library of template spectra of Padova-Asiago Supernova Archive (ASA).
Results. For each spectrum of our sample we present a brief, individual discussion, highlighting the main characteristics and possible peculiarities. The comparison with ASA spectra confirms the previous classification of all objects and refines the age estimates. For our software, we determine numerical limits of “safe” spectral classification and the uncertainties of the phase determination.
Key words: supernovae: general / methods: data analysis
© ESO, 2008
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.