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1.
PASSERBY BECOME SUPERNOVA HUNTERS IN KUNGSTRÄDGÅRDEN
Tanja Petrushevska, S. Papadogiannakis, Emir Karamehmetoglu, 2015, other performed works

Abstract: Fysik i Kungsträdgården is one of the major outreach events in Stockholm where scientists have the chance to show their research. This year the supernova group at the OKC invited the public to look for supernovae with us using the intermediate Palomar (Transient) Factory (iPTF) collaboration telescope in Palomar, California, U.S.A. Due to the time difference between Stockholm and California, we were able to look at live images as they were taken from the telescope, to search for new transient objects such as supernovae. The event was successful, bringing a lot of people from the park in central Stockholm to come and search with us.
Keywords: science outreach, supernova hunting for the public
Published in RUNG: 09.02.2018; Views: 3950; Downloads: 0
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2.
FYSIKSHOW: TOWARDS AN EVEN BRIGHTER FUTURE
Tanja Petrushevska, S. Papadogiannakis, Tor Kjellsson, other performed works

Abstract: Report of the Fysikshow activities of 2015-2016
Keywords: physics outreach with experiments
Published in RUNG: 06.02.2018; Views: 3428; Downloads: (1 vote)
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3.
iPTF Discoveries of Recent Type Ia Supernovae
S. Papadogiannakis, Tanja Petrushevska, 2015, other component parts

Abstract: The intermediate Palomar Transient Factory (ATel#4807) reports the following SNe Ia:
Keywords: supernovae, transients
Published in RUNG: 25.01.2018; Views: 3080; Downloads: 0
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4.
iPTF Discoveries of Recent Type Ia Supernovae
S. Papadogiannakis, Tanja Petrushevska, 2015, other component parts

Abstract: The intermediate Palomar Transient Factory (ATel#4807) reports the following SNe Ia:
Keywords: supernovae, transients
Published in RUNG: 25.01.2018; Views: 2988; Downloads: 0
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5.
iPTF Discoveries of Recent Type Ia Supernovae
S. Papadogiannakis, 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: supernova, transients
Published in RUNG: 25.01.2018; Views: 3030; Downloads: 0
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6.
iPTF Discoveries of Recent Type Ia Supernovae
S. Papadogiannakis, 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: 2940; Downloads: 0
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7.
iPTF Discoveries of Recent Type Ia Supernovae
S. Papadogiannakis, 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: Optical, Supernovae, Transient
Published in RUNG: 24.01.2018; Views: 2866; Downloads: 0
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8.
iPTF Discoveries of Recent Type Ia Supernovae
R. 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: 3188; Downloads: 0
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9.
iPTF Discoveries of Recent Type Ia Supernovae
S. Papadogiannakis, 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.
Keywords: Supernova, Transient
Published in RUNG: 24.01.2018; Views: 3183; Downloads: 0
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10.
iPTF Discoveries of Recent Type Ia Supernovae
S. Papadogiannakis, 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.
Keywords: Supernova, Transient
Published in RUNG: 24.01.2018; Views: 3102; Downloads: 0
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