SN 2000cu , the SIMBAD biblio

SN 2000cu , the SIMBAD biblio (22 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST03:59:32

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Bibcode/DOI Score in Title|Abstract|
Keywords 		in a table in teXt, Caption, ... Nb occurence Nb objects in ref Citations
(from ADS) 		Title First 3 Authors
2000IAUC.7453R...1P 72 T                   2 ~ Supernova 2000cu in ESO 525-G004. PAPENKOVA M. and LI W.D.
2000IAUC.7454R...1B 72 T                   2 ~ Supernova 2000cu in ESO 525-G004. BENETTI S., DOMINGUEZ R.M., ZACCHEI A., et al.
2002PASP..114..820V viz 349 28 Classifications of the host galaxies of supernovae. VAN DEN BERGH S., LI W. and FILIPPENKO A.V.
2008A&A...488..383H 15       D               1 404 108 ESC supernova spectroscopy of non-ESC targets. HARUTYUNYAN A.H., PFAHLER P., PASTORELLO A., et al.
2010ApJS..190..418G viz 15       D               5 334 202 Results of the Lick observatory supernova search follow-up photometry program: BVRI light curves of 165 type Ia supernovae. GANESHALINGAM M., LI W., FILIPPENKO A.V., et al.
2011ApJ...742...89F viz 15       D               2 276 69 Velocity evolution and the intrinsic color of type Ia supernovae. FOLEY R.J., SANDERS N.E. and KIRSHNER R.P.
2012A&A...538A.120L viz 15       D               1 5598 37 A unified supernova catalogue. LENNARZ D., ALTMANN D. and WIEBUSCH C.
2012AJ....143..126B viz 15       D               1 532 244 The spectroscopic diversity of type Ia supernovae. BLONDIN S., MATHESON T., KIRSHNER R.P., et al.
2012MNRAS.425.1789S viz 15       D               1 677 269 Berkeley supernova Ia program – I. Observations, data reduction and spectroscopic sample of 582 low-redshift type Ia supernovae. SILVERMAN J.M., FOLEY R.J., FILIPPENKO A.V., et al.
2012MNRAS.425.1819S viz 15       D               5 265 80 Berkeley supernova Ia program – II. Initial analysis of spectra obtained near maximum brightness. SILVERMAN J.M., KONG J.J. and FILIPPENKO A.V.
2013MNRAS.433.2240G viz 15       D               1 597 70 Constraints on dark energy with the LOSS SN Ia sample. GANESHALINGAM M., LI W. and FILIPPENKO A.V.
2014ApJ...795..142G viz 15       D               1 448 7 Defining photometric peculiar type Ia supernovae. GONZALEZ-GAITAN S., HSIAO E.Y., PIGNATA G., et al.
2019MNRAS.486.5785S viz 16       D               1 773 ~ Investigating the diversity of Type Ia supernova spectra with the open-source relational data base KAEPORA. SIEBERT M.R., FOLEY R.J., JONES D.O., et al.
2020MNRAS.496.3553S 16       D               1 202 ~ deepSIP: linking Type Ia supernova spectra to photometric quantities with deep learning. STAHL B.E., MARTINEZ-PALOMERA J., ZHENG W., et al.
2020MNRAS.498.2703B viz 16       D               1 474 54 Cosmic flows in the nearby Universe: new peculiar velocities from SNe and cosmological constraints. BORUAH S.S., HUDSON M.J. and LAVAUX G.
2020MNRAS.499.1424H viz 16       D               1 408 ~ Supernovae and their host galaxies - VII. The diversity of Type Ia supernova progenitors. HAKOBYAN A.A., BARKHUDARYAN L.V., KARAPETYAN A.G., et al.
2021MNRAS.505L..52H viz 17       D               1 189 ~ Type Ia supernovae in the star formation deserts of spiral host galaxies. HAKOBYAN A.A., KARAPETYAN A.G., BARKHUDARYAN L.V., et al.
2022ApJ...930...70H viz 17       D               1 363 10 Spectroscopic Studies of Type Ia Supernovae Using LSTM Neural Networks. HU L., CHEN X. and WANG L.
2022ApJ...938..110B viz 17       D               1 1534 204 The Pantheon+ Analysis: Cosmological Constraints. BROUT D., SCOLNIC D., POPOVIC B., et al.
2022PASA...39...46C viz 17       D               1 2242 36 The Pantheon+ analysis: Improving the redshifts and peculiar velocities of type Ia supernovae used in cosmological analyses. CARR A., DAVIS T.M., SCOLNIC D., et al.
2024A&A...687A.108G viz 18       D               1 1820 ~ Narrow absorption lines from intervening material in supernovae I. Measurements and temporal evolution. GONZALEZ-GAITAN S., GUTIERREZ C.P., ANDERSON J.P., et al.
2024A&A...691A..33R viz 18       D               1 144 ~ A novel optimal transport-based approach for interpolating spectral time series Paving the way for photometric classification of supernovae. RAMIREZ M., PIGNATA G., FORSTER F., et al.

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