B
B.A. Weaver
Researcher at Lawrence Berkeley National Laboratory
Publications - 3
Citations - 387
B.A. Weaver is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Supernova & White dwarf. The author has an hindex of 3, co-authored 3 publications receiving 371 citations. Previous affiliations of B.A. Weaver include Space Sciences Laboratory.
Papers
More filters
Journal ArticleDOI
Nearby Supernova Factory Observations of SN 2005gj: Another Type Ia Supernova in a Massive Circumstellar Envelope.
Greg Aldering,P. Antilogus,Stephen Bailey,C. Baltay,A. Bauer,N. Blanc,S. Bongard,S. Bongard,Y. Copin,E. Gangler,S. Gilles,Richard Kessler,D. Kocevski,D. Kocevski,Brian C. Lee,S. C. Loken,Peter Nugent,Reynald Pain,E. Pecontal,R. Pereira,Saul Perlmutter,Saul Perlmutter,David Rabinowitz,G. Rigaudier,Richard Scalzo,G. Smadja,R. C. Thomas,Lifan Wang,B.A. Weaver,B.A. Weaver +29 more
TL;DR: In this article, the authors reported the independent discovery and follow-up observations of supernova 2005gj by the Nearby Supernova Factory, which is the second case of a hybrid Type Ia/IIn supernova, which like the prototype SN 2002ic, was inter- pret as the explosion of a white dwarf interacting with a circumstellar medium.
Journal ArticleDOI
Nearby Supernova Factory Observations of SN 2006D: On Sporadic Carbon Signatures in Early Type Ia Supernova Spectra
R. C. Thomas,Greg Aldering,P. Antilogus,Cecilia Aragon,Stephen Bailey,C. Baltay,E. Baron,A. Bauer,C. Buton,S. Bongard,S. Bongard,Y. Copin,E. Gangler,S. Gilles,Richard Kessler,S. C. Loken,Peter Nugent,R. Pain,Jerod Parrent,E. Pecontal,R. Pereira,Saul Perlmutter,Saul Perlmutter,D. Rabinowitz,G. Rigaudier,K. Runge,Richard Scalzo,G. Smadja,Lifan Wang,B.A. Weaver,B.A. Weaver +30 more
TL;DR: In this article, four spectra of the Type Ia supernova SN Ia 2006D were presented, extending from -7 to +13 days with respect to B-band maximum.
Journal ArticleDOI
Object Classification at the Nearby Supernova Factory
TL;DR: In this paper, the results of applying new object classification techniques to the supernova search of the Nearby Supernova Factory (NSF) were presented. And they showed that more sophisticated methods such as boosted decision trees, random forests, and support vector machines provided dramatically better object discrimination: they reduced the number of nonsupernova candidates by a factor of 10 while increasing the identification efficiency.