Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations
Publication
, Journal Article
MacCrann, N; Becker, MR; McCullough, J; Amon, A; Gruen, D; Jarvis, M; Choi, A; Troxel, MA; Sheldon, E; Yanny, B; Herner, K; Dodelson, S ...
Published in: \mnras
January 2022
Duke Scholars
Published In
\mnras
DOI
Publication Date
January 2022
Volume
509
Start / End Page
3371 / 3394
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
MacCrann, N., Becker, M. R., McCullough, J., Amon, A., Gruen, D., Jarvis, M., … Collaboration, D. E. S. (2022). Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations. \mnras, 509, 3371–3394. https://doi.org/10.1093/mnras/stab2870
MacCrann, N., M. R. Becker, J. McCullough, A. Amon, D. Gruen, M. Jarvis, A. Choi, et al. “Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations.” \mnras 509 (January 2022): 3371–94. https://doi.org/10.1093/mnras/stab2870.
MacCrann N, Becker MR, McCullough J, Amon A, Gruen D, Jarvis M, et al. Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations. \mnras. 2022 Jan;509:3371–94.
MacCrann, N., et al. “Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations.” \mnras, vol. 509, Jan. 2022, pp. 3371–94. Manual, doi:10.1093/mnras/stab2870.
MacCrann N, Becker MR, McCullough J, Amon A, Gruen D, Jarvis M, Choi A, Troxel MA, Sheldon E, Yanny B, Herner K, Dodelson S, Zuntz J, Eckert K, Rollins RP, Varga TN, Bernstein GM, Gruendl RA, Harrison I, Hartley WG, Sevilla-Noarbe I, Pieres A, Bridle SL, Myles J, Alarcon A, Everett S, Sánchez C, Huff EM, Tarsitano F, Gatti M, Secco LF, Abbott TMC, Aguena M, Allam S, Annis J, Bacon D, Bertin E, Brooks D, Burke DL, Carnero Rosell A, Carrasco Kind M, Carretero J, Costanzi M, Crocce M, Pereira MES, De Vicente J, Desai S, Diehl HT, Dietrich JP, Doel P, Eifler TF, Ferrero I, Ferté A, Flaugher B, Fosalba P, Frieman J, García-Bellido J, Gaztanaga E, Gerdes DW, Giannantonio T, Gschwend J, Gutierrez G, Hinton SR, Hollowood DL, Honscheid K, James DJ, Lahav O, Lima M, Maia MAG, March M, Marshall JL, Martini P, Melchior P, Menanteau F, Miquel R, Mohr JJ, Morgan R, Muir J, Ogando RLC, Palmese A, Paz-Chinchón F, Plazas AA, Rodriguez-Monroy M, Roodman A, Samuroff S, Sanchez E, Scarpine V, Serrano S, Smith M, Soares-Santos M, Suchyta E, Swanson MEC, Tarle G, Thomas D, To C, Wilkinson RD, Collaboration DES. Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations. \mnras. 2022 Jan;509:3371–3394.
Published In
\mnras
DOI
Publication Date
January 2022
Volume
509
Start / End Page
3371 / 3394
Related Subject Headings
- Astronomy & Astrophysics
- 5109 Space sciences
- 5107 Particle and high energy physics
- 5101 Astronomical sciences
- 0201 Astronomical and Space Sciences