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Voronoi Tessellation for reducing the processing time of correlation functions., and . Comput. Phys. Commun., (2018)Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era, , , , , , , , , and 29 other author(s). (2021)cite arxiv:2110.03769Comment: 46 pages, 33 figures.A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest., , , , , , , , , and 63 other author(s). CoRR, (2020)Performance and precision of histogram calculation on GPUs: Cosmological analysis as a case study., , , , and . Comput. Phys. Commun., 185 (10): 2558-2565 (2014)VDES J2325-5229 a z=2.7 gravitationally lensed quasar discovered using morphology independent supervised machine learning, , , , , , , , , and 49 other author(s). (2016)cite arxiv:1607.01391Comment: 11 pages, 7 figures, 7 tables, MNRAS submitted.Effect of training characteristics on object classification: An application using Boosted Decision Trees., and . Astron. Comput., (2015)High-performance implementations for shear-shear correlation calculation., , , , , , and . CLUSTER, page 290-291. IEEE Computer Society, (2014)An Accuracy-Aware Implementation of Two-Point Three-Dimensional Correlation Function using Bin-Recycling Strategy on GPU., , , , , , and . CCGrid, page 913-920. IEEE Computer Society / ACM, (2017)Crowdsourcing quality control for Dark Energy Survey images., , , , , , , , , and 40 other author(s). Astron. Comput., (2016)The PAU Survey: Operation and orchestration of multi-band survey data., , , , , , , , , and 7 other author(s). Astron. Comput., (2019)