Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit
Publication
, Journal Article
Friedrich, O; Andrade-Oliveira, F; Camacho, H; Alves, O; Rosenfeld, R; Sanchez, J; Fang, X; Eifler, TF; Krause, E; Chang, C; Omori, Y; Amon, A ...
Published in: \mnras
December 2021
Duke Scholars
Altmetric Attention Stats
Dimensions Citation Stats
Published In
\mnras
DOI
Publication Date
December 2021
Volume
508
Start / End Page
3125 / 3165
Related Subject Headings
- Astronomy & Astrophysics
- 5109 Space sciences
- 5107 Particle and high energy physics
- 5101 Astronomical sciences
- 0201 Astronomical and Space Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Friedrich, O., Andrade-Oliveira, F., Camacho, H., Alves, O., Rosenfeld, R., Sanchez, J., … Collaboration, D. E. S. (2021). Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit. \mnras, 508, 3125–3165. https://doi.org/10.1093/mnras/stab2384
Friedrich, O., F. Andrade-Oliveira, H. Camacho, O. Alves, R. Rosenfeld, J. Sanchez, X. Fang, et al. “Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit.” \mnras 508 (December 2021): 3125–65. https://doi.org/10.1093/mnras/stab2384.
Friedrich O, Andrade-Oliveira F, Camacho H, Alves O, Rosenfeld R, Sanchez J, et al. Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit. \mnras. 2021 Dec;508:3125–65.
Friedrich, O., et al. “Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit.” \mnras, vol. 508, Dec. 2021, pp. 3125–65. Manual, doi:10.1093/mnras/stab2384.
Friedrich O, Andrade-Oliveira F, Camacho H, Alves O, Rosenfeld R, Sanchez J, Fang X, Eifler TF, Krause E, Chang C, Omori Y, Amon A, Baxter E, Elvin-Poole J, Huterer D, Porredon A, Prat J, Terra V, Troja A, Alarcon A, Bechtol K, Bernstein GM, Buchs R, Campos A, Carnero Rosell A, Carrasco Kind M, Cawthon R, Choi A, Cordero J, Crocce M, Davis C, DeRose J, Diehl HT, Dodelson S, Doux C, Drlica-Wagner A, Elsner F, Everett S, Fosalba P, Gatti M, Giannini G, Gruen D, Gruendl RA, Harrison I, Hartley WG, Jain B, Jarvis M, MacCrann N, McCullough J, Muir J, Myles J, Pandey S, Raveri M, Roodman A, Rodriguez-Monroy M, Rykoff ES, Samuroff S, Sánchez C, Secco LF, Sevilla-Noarbe I, Sheldon E, Troxel MA, Weaverdyck N, Yanny B, Aguena M, Avila S, Bacon D, Bertin E, Bhargava S, Brooks D, Burke DL, Carretero J, Costanzi M, da Costa LN, Pereira MES, De Vicente J, Desai S, Evrard AE, Ferrero I, Frieman J, García-Bellido J, Gaztanaga E, Gerdes DW, Giannantonio T, Gschwend J, Gutierrez G, Hinton SR, Hollowood DL, Honscheid K, James DJ, Kuehn K, Lahav O, Lima M, Maia MAG, Menanteau F, Miquel R, Morgan R, Palmese A, Paz-Chinchón F, Plazas AA, Sanchez E, Scarpine V, Serrano S, Soares-Santos M, Smith M, Suchyta E, Tarle G, Thomas D, To C, Varga TN, Weller J, Wilkinson RD, Collaboration DES. Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit. \mnras. 2021 Dec;508:3125–3165.
Published In
\mnras
DOI
Publication Date
December 2021
Volume
508
Start / End Page
3125 / 3165
Related Subject Headings
- Astronomy & Astrophysics
- 5109 Space sciences
- 5107 Particle and high energy physics
- 5101 Astronomical sciences
- 0201 Astronomical and Space Sciences