Dietrich, J. P.

SciPy 1.0: fundamental algorithms for scientific computing in Python

Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2019) · Apollo - University of Cambridge Repository

Computational Physics and Python ApplicationsScientific Computing and Data Management

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Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing

Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Aleksić, J., Allam, S., Allen, S., Amara, A., Annis, J., Asorey, J., Avila, S., et al. (2018) · Physical Review D

Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena

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Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing

Abbott, T. M. C., Aguena, M., Alarcon, A., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Avila, S., Bacon, D., et al. (2022) · Physical Review D

Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena

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Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration

Amon, A., Gruen, D., Troxel, M. A., MacCrann, N., Dodelson, S., Choi, A., Doux, C., Secco, L. F., Samuroff, S., Krause, E., et al. (2022) · Physical Review D

Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena

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