A multi-component matched filter cluster confirmation tool for eROSITA: initial application to the RASS and DES-SV datasets (2017)
- Authors:
- Autor USP: LIMA, MARCOS VINICIUS BORGES TEIXEIRA - IF
- Unidade: IF
- Subjects: GALÁXIAS; COSMOLOGIA; ENERGIA ESCURA
- Language: Inglês
- Imprenta:
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ABNT
COLLETT, Thomas E. e LIMA, Marcos Vinicius Borges Teixeira. A multi-component matched filter cluster confirmation tool for eROSITA: initial application to the RASS and DES-SV datasets. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/abs/1706.06577. Acesso em: 24 abr. 2024. , 2017 -
APA
Collett, T. E., & Lima, M. V. B. T. (2017). A multi-component matched filter cluster confirmation tool for eROSITA: initial application to the RASS and DES-SV datasets. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/abs/1706.06577 -
NLM
Collett TE, Lima MVBT. A multi-component matched filter cluster confirmation tool for eROSITA: initial application to the RASS and DES-SV datasets [Internet]. 2017 ;[citado 2024 abr. 24 ] Available from: https://arxiv.org/abs/1706.06577 -
Vancouver
Collett TE, Lima MVBT. A multi-component matched filter cluster confirmation tool for eROSITA: initial application to the RASS and DES-SV datasets [Internet]. 2017 ;[citado 2024 abr. 24 ] Available from: https://arxiv.org/abs/1706.06577 - Measuring cosmological parameters with type IA supernovae in redmagic galaxie
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- CIV black hole mass measurements with the australian dark energy survey (OzDES)
- Dark energy survey year 1 results: the lensing imprint of cosmic voids on the cosmic microwave background
- The buzzard flock: dark energy survey synthetic sky catalogs
- A detection of cmb-cluster lensing using polarization data from SPTpol
- The STRong lensing insights into the dark energy survey (STRIDES) 2016 follow-up campaign. II.: new quasar lenses from double component fitting.
- Survey geometry and the internal consistency of recent cosmic shear measurements
- Star-galaxy classi cation in the dark energy survey Y1 dataset
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