SN 2006af , the SIMBAD biblio

SN 2006af , the SIMBAD biblio (13 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST09:54:27


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Title First 3 Authors
2006IAUC.8674....1S 74 T                   11 0 Supernovae 2006ae, 2006af, 2006ag, 2006ah, 2006ai. SUBBARAO M., LUCKAS P., TRONDAL O., et al.
2006CBET..400....1S 37 T       O X         2 0 Supernovae 2006ae and 2006af. SUBBARAO M.
2006CBET..400....2G 37 T       O X         2 0 Supernovae 2006ae and 2006af. GREEN D.W.E.
2006CBET..400....3G 37 T       O X         2 0 Supernovae 2006ae and 2006af. GREEN D.W.E.
2006CBET..400....4G 37 T       O X         2 0 Supernovae 2006ae and 2006af. GREEN D.W.E.
2011AJ....142..156S viz 39           X         1 105 220 The carnegie supernova project: second photometry data release of low-redshift type Ia supernovae. STRITZINGER M.D., PHILLIPS M.M., BOLDT L.N., et al.
2012A&A...538A.120L viz 15       D               1 5598 37 A unified supernova catalogue. LENNARZ D., ALTMANN D. and WIEBUSCH C.
2012A&A...544A..81H viz 15       D               1 7232 67 Supernovae and their host galaxies. I. The SDSS DR8 database and statistics. HAKOBYAN A.A., ADIBEKYAN V.Zh., ARAMYAN L.S., et al.
2013MNRAS.430.1746G viz 15       D               1 218 70 Discovery of 90 Type Ia supernovae among 700 000 Sloan spectra: the Type Ia supernova rate versus galaxy mass and star formation rate at redshift ∼ 0.1. GRAUR O. and MAOZ D.
2014ApJ...791...57S viz 15       D               1 214 4 Comparing the host galaxies of type Ia, type II, and type Ibc supernovae. SHAO X., LIANG Y.C., DENNEFELD M., et al.
2015MNRAS.450..905G viz 16       D               1 217 35 A unified explanation for the supernova rate-galaxy mass dependence based on supernovae detected in Sloan galaxy spectra. GRAUR O., BIANCO F.B. and MODJAZ M.
2022ApJ...926...98D viz 17       D               1 1164 6 Late-onset Circumstellar Medium Interactions are Rare: An Unbiased GALEX View of Type Ia Supernovae. DUBAY L.O., TUCKER M.A., DO A., et al.
2023MNRAS.526.3072B 44           X         1 21 ~ Fast and efficient identification of anomalous galaxy spectra with neural density estimation. BOHM V., KIM A.G. and JUNEAU S.

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