1. A population of Type Ibc supernovae with massive progenitors : broad lightcurves not uncommon in (i)PTFE. Karamehmetoglu, Jesper Sollerman, F. Taddia, C. Barbarino, U. Feindt, U. C. Fremling, Avishay Gal-Yam, M. M. Kasliwal, Tanja Petrushevska, S. Schulze, 2023, original scientific article Keywords: astronomy, supernova progenitors Published in RUNG: 10.10.2023; Views: 1461; Downloads: 5 Full text (3,30 MB) This document has many files! More... |
2. Near-infrared supernova Ia distances : host galaxy extinction and mass-step corrections revisitedJ. Johansson, S. B. Cenko, O. D. Fox, S. Dhawan, Ariel Goobar, V. Stanishev, N. Butler, W. H. Lee, A. M. Watson, U. C. Fremling, Tanja Petrushevska, 2021, original scientific article Keywords: supernova, cosmology, extinction Published in RUNG: 26.01.2022; Views: 2512; Downloads: 37 Link to full text This document has many files! More... |
3. iPTF Discoveries of Recent Type Ia SupernovaeR. Ferretti, C. Fremling, L. Hangard, S. Papadogiannakis, Tanja Petrushevska, other component parts Abstract: The intermediate Palomar Transient Factory (ATel #4807) reports the discovery and classification of the following Type Ia SNe.
Our automated candidate vetting to distinguish a real astrophysical source (1.0) from bogus artifacts (0.0) is powered by three generations of machine learning algorithms: RB2 (Brink et al. 2013MNRAS.435.1047B), RB4 (Rebbapragada et al. 2015AAS...22543402R) and RB5 (Wozniak et al. 2013AAS...22143105W). See ATel #7112 for additional details.
The approved classification (and/or subsequent) spectra are made publicly available through WISeREP (Yaron & Gal-Yam 2012). Keywords: supernova, transient Published in RUNG: 24.01.2018; Views: 3851; Downloads: 0 This document has many files! More... |
4. iPTF Discoveries of Recent Type Ia SupernovaeR. Ferretti, C. Fremling, L. Hangard, Tanja Petrushevska, 2015, other component parts Abstract: The intermediate Palomar Transient Factory (ATel #4807) reports the discovery and classification of the following Type Ia SNe.
Our automated candidate vetting to distinguish a real astrophysical source (1.0) from bogus artifacts (0.0) is powered by three generations of machine learning algorithms: RB2 (Brink et al. 2013MNRAS.435.1047B), RB4 (Rebbapragada et al. 2015AAS...22543402R) and RB5 (Wozniak et al. 2013AAS...22143105W). See ATel #7112 for additional details.
The approved classification (and/or subsequent) spectra are made publicly available through WISeREP (Yaron & Gal-Yam 2012). Keywords: Supernovae, transients Published in RUNG: 24.01.2018; Views: 3668; Downloads: 0 This document has many files! More... |
5. iPTF Discoveries of Recent Core-Collapse SupernovaeF. Taddia, Raphael Ferretti, C. Fremling, Anders Nyholm, S. Papadogiannakis, Tanja Petrushevska, L. Hangard, 2015, other component parts Abstract: The intermediate Palomar Transient Factory (ATel #4807) reports the discovery and classification of the following Core-Collapse SNe. Our automated candidate vetting to distinguish a real astrophysical source (1.0) from bogus artifacts (0.0) is powered by three generations of machine learning algorithms: RB2 (Brink et al. 2013MNRAS.435.1047B), RB4 (Rebbapragada et al. 2015AAS...22543402R) and RB5 (Wozniak et al. 2013AAS...22143105W). Keywords: Supernovae, Transients Published in RUNG: 24.01.2018; Views: 4146; Downloads: 0 This document has many files! More... |