51. iPTF Discoveries of Recent Type Ia SupernovaeL. 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).
Keywords: Supernovae, Transients
Published in RUNG: 24.01.2018; Views: 4113; Downloads: 0
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52. iPTF Discoveries of Recent Type Ia SupernovaeS. Papadogiannakis, Tanja Petrushevska, 2016, 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).
Keywords: Supernovae, Transients
Published in RUNG: 24.01.2018; Views: 4026; Downloads: 0
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53. iPTF Discoveries of Recent Type Ia SupernovaeS. Papadogiannakis, Tanja Petrushevska, 2016, other component parts Abstract: 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).
Keywords: Supernovae, Transients
Published in RUNG: 24.01.2018; Views: 4219; Downloads: 0
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54. iPTF Discoveries of Recent Type Ia SupernovaeTanja Petrushevska, 2016, 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).
Keywords: Supernovae, Transients
Published in RUNG: 24.01.2018; Views: 4060; Downloads: 0
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55. iPTF Discovery of Recent Type Ia SupernovaeL. Hangard, Tanja Petrushevska, 2016, 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).
Keywords: Supernovae, Transients
Published in RUNG: 24.01.2018; Views: 3821; Downloads: 0
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56. iPTF Discoveries of Recent Type Ia SupernovaeRaphael Ferretti, Tanja Petrushevska, 2016, 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).
Keywords: Supernovae, Transients
Published in RUNG: 23.01.2018; Views: 3982; Downloads: 0
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57. iPTF Discoveries of Recent Type Ia SupernovaeS. Papadogiannakis, Tanja Petrushevska, 2016, other component parts Abstract: 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).
Keywords: Supernovae, Transients
Published in RUNG: 23.01.2018; Views: 4218; Downloads: 0
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58. iPTF Discoveries of Recent Type Ia SupernovaeTanja Petrushevska, 2016, 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).
Keywords: Supernovae, Transients
Published in RUNG: 23.01.2018; Views: 3923; Downloads: 0
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59. iPTF Discovery of Recent Type Ia SupernovaeLaura Hangard, Tanja Petrushevska, 2016, 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).
Keywords: Supernovae, Transient
Published in RUNG: 23.01.2018; Views: 4583; Downloads: 0
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60. iPTF Discoveries of Recent Type Ia SupernovaeRaphael Ferretti, Tanja Petrushevska, 2016, 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 artefacts (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, Transient
Published in RUNG: 23.01.2018; Views: 3856; Downloads: 0
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