Superluminous supernovae from the dark energy survey (2018)
- Authors:
- Autor USP: LIMA, MARCOS VINICIUS BORGES TEIXEIRA - IF
- Unidade: IF
- Subjects: GALÁXIAS; COSMOLOGIA; ENERGIA ESCURA
- Language: Inglês
- Imprenta:
-
ABNT
ANGUS, C. R. e LIMA, Marcos Vinicius Borges Teixeira. Superluminous supernovae from the dark energy survey. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/abs/1812.04071. Acesso em: 18 abr. 2024. , 2018 -
APA
Angus, C. R., & Lima, M. V. B. T. (2018). Superluminous supernovae from the dark energy survey. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/abs/1812.04071 -
NLM
Angus CR, Lima MVBT. Superluminous supernovae from the dark energy survey [Internet]. 2018 ;[citado 2024 abr. 18 ] Available from: https://arxiv.org/abs/1812.04071 -
Vancouver
Angus CR, Lima MVBT. Superluminous supernovae from the dark energy survey [Internet]. 2018 ;[citado 2024 abr. 18 ] Available from: https://arxiv.org/abs/1812.04071 - Discovery of two gravitationally lensed quasars in the dark energy survey
- Optical-SZE scaling relations for DES optically selected clusters within the SPT-SZ survey
- Structure formation and cosmic acceleration
- Galaxy bias from the Dark Energy Survey Science verification data: combining galaxy density maps and weak lensing maps
- The Dark Energy Survey: more than dark energy - an overview
- The thirteenth data release of the sloan digital sky survey: first spectroscopic data from the SDSS-IV survey mapping nearby galaxies at apache point observatory
- A Search for kilonovae in the dark energy survey
- Weak lensing magnification in the dark energy survey science verification data
- The electromagnetic counterpart of the binary neutron star merger LIGO/VIRGO GW170817. I. discovery of the optical counterpart using the dark energy camera
- Dark energy survey year 1 results: cross-correlation redshifts in the DES - calibration of the weak lensing source redshift distributions
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
