Repository of University of Nova Gorica

Search the repository
A+ | A- | Help | SLO | ENG

Query: search in
search in
search in
search in
* old and bolonia study programme

Options:
  Reset


41 - 50 / 105
First pagePrevious page12345678910Next pageLast page
41.
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.
Found in: osebi
Keywords: Supernova, Transient
Published: 24.01.2018; Views: 1918; Downloads: 0
.pdf Fulltext (333,97 KB)

42.
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.
Found in: osebi
Keywords: Supernova, Transient
Published: 24.01.2018; Views: 1958; Downloads: 0
.pdf Fulltext (84,38 KB)

43.
iPTF Discoveries of Recent Type Ia Supernovae
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).
Found in: osebi
Keywords: Supernova, Transient
Published: 24.01.2018; Views: 1809; Downloads: 0
.pdf Fulltext (83,71 KB)

44.
Gravitationsvågor skakar om i fysikervärlden
Edvard Mörtsell, Joel Johansson, Tanja Petrushevska, radio or television event

Abstract: I mars släppte en grupp fysiker nyheten att de hade hittat bevis på gravitationsvågor som skickades ut vid Big Bang. Nu ifrågasätts resultaten allt mer högljutt, men forskarna jobbar ändå vidare för att få bitarna att passa ihop.
Found in: osebi
Keywords: gravitationsvågor
Published: 24.01.2018; Views: 1903; Downloads: 0
.pdf Fulltext (879,72 KB)

45.
iPTF Discoveries of Recent Type Ia Supernovae
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).
Found in: osebi
Keywords: supernova, transient
Published: 24.01.2018; Views: 1802; Downloads: 0
.pdf Fulltext (85,79 KB)

46.
iPTF Discoveries of Recent Type Ia Supernovae
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).
Found in: osebi
Keywords: transients, supernovae
Published: 24.01.2018; Views: 1696; Downloads: 0
.pdf Fulltext (88,38 KB)

47.
iPTF discovery of iPTF15ayt, a young Type II Supernova showing flash-spectroscopy signatures, and an HST target
Avishay Gal-Yam, Tanja Petrushevska, 2015, other component parts

Abstract: The intermediate Palomar Transient Factory (ATel#4807) reports the discovery of iPTF15ayt, a young type II SN in a nearby galaxy (redshift z=0.045715, mean distance modulus DM=36.52, metric distance d~202 Mpc; NED). The transient was discovered on 2015 May 26.32 UT at RA(J2000) = 14:56:27.85, DEC(J2000) = +18:22:24.7, at a magnitude of 19.6 in the PTF g-band (calibrated with respect to SDSS), which corresponds to an absolute magnitude of -16.9 (according to the above DM). A non-detection (3-sigma, to a limiting PTF g-band magnitude of 21.4) was obtained at the location ~24 hr earlier on 2015 May 25.35 UT. A spectrum was promptly obtained on 2015 May 26.45 (~2.5 hours from event confirmation) with the GMOS spectrograph mounted on Gemini-N, showing flash-spectroscopy signatures (Gal-Yam et al., 2014, Nature, 509, 471) - narrow to intermediate width Balmer series emission lines and broader prominent He II 4686 and C IV 5806, all on top of a hot blue continuum. We have triggered the Hubble Space Telescope in order to obtain a series of prompt UV spectra of this event, as well as numerous other follow-up programs. We encourage additional monitoring at all wavelengths of this young supernova.
Found in: osebi
Keywords: Optical, Ultra-Violet, Supernovae
Published: 24.01.2018; Views: 1994; Downloads: 0
.pdf Fulltext (78,20 KB)

48.
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).
Found in: osebi
Keywords: Optical, Supernovae, Transient
Published: 24.01.2018; Views: 1756; Downloads: 0
.pdf Fulltext (87,25 KB)

49.
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).
Found in: osebi
Keywords: Supernovae, TRansients
Published: 24.01.2018; Views: 1792; Downloads: 0
.pdf Fulltext (86,22 KB)

50.
iPTF Discoveries of Recent Type Ia Supernovae
R. Ferretti, 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).
Found in: osebi
Keywords: supernova, transient
Published: 24.01.2018; Views: 1681; Downloads: 0
.pdf Fulltext (85,00 KB)

Search done in 0 sec.
Back to top