A data compression and optimal galaxy weights scheme for Dark Energy Spectroscopic Instrument and weak lensing data sets

Author:

Ruggeri Rossana12ORCID,Blake Chris2,DeRose Joseph3,Garcia-Quintero C4,Hadzhiyska B5ORCID,Ishak M4,Jeffrey N6,Joudaki S7,Krolewski Alex789,Lange J U1011ORCID,Leauthaud A12ORCID,Porredon A1314,Rossi G15,Saulder C16,Xhakaj E12ORCID,Brooks D6,Dhungana G17,de la Macorra A18,Doel P6,Gontcho S Gontcho A319ORCID,Kremin A3,Landriau M3,Miquel R2021,Poppett C32223,Prada F24,Tarlé Gregory25,

Affiliation:

1. School of Mathematics and Physics, University of Queensland , QLD 4072 , Australia

2. Centre for Astrophysics & Supercomputing, Swinburne University of Technology , P.O. Box 218, Hawthorn, VIC 3122 , Australia

3. Lawrence Berkeley National Laboratory , 1 Cyclotron Road, Berkeley, CA 94720 , USA

4. Department of Physics, The University of Texas at Dallas , 800 W. Campbell Rd, Richardson, TX 75080 , USA

5. Center for Astrophysics | Harvard & Smithsonian , 60 Garden Street, Cambridge, MA 02138 , USA

6. Department of Physics & Astronomy, University College London , Gower Street, London, WC1E 6BT , UK

7. Department of Physics and Astronomy, University of Waterloo , 200 University Ave W, Waterloo, ON N2L 3G1 , Canada

8. Perimeter Institute for Theoretical Physics , 31 Caroline St. North, Waterloo, ON N2L 2Y5 , Canada

9. Waterloo Centre for Astrophysics, University of Waterloo , 200 University Ave W, Waterloo, ON N2L 3G1 , Canada

10. Kavli Institute for Particle Astrophysics and Cosmology, Stanford University , Menlo Park, CA 94305 , USA

11. Physics Department, Stanford University , Stanford, CA 93405 , USA

12. Department of Astronomy and Astrophysics, University of California , Santa Cruz, 1156 High Street, Santa Cruz, CA 95065 , USA

13. Center for Cosmology and Astro-Particle Physics, The Ohio State University , Columbus, OH 43210 , USA

14. Department of Physics, The Ohio State University , Columbus, OH 43210 , USA

15. Department of Physics and Astronomy, Sejong University , Seoul 143-747 , Korea

16. Korea Astronomy and Space Science Institute , 776, Daedeokdae-ro, Yuseong-gu, Daejeon 34055 , Republic of Korea

17. Department of Physics, Southern Methodist University , 3215 Daniel Avenue, Dallas, TX 75275 , USA

18. Instituto de Física, Universidad Nacional Autónoma de México , Cd. de México C.P. 04510 , México

19. Department of Physics and Astronomy, University of Rochester , 500 Joseph C. Wilson Boulevard, Rochester, NY 14627 , USA

20. Institució Catalana de Recerca i Estudis Avançats , Passeig de Lluís Companys, 23, E-08010 Barcelona , Spain

21. Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology , Campus UAB, E-08193 Bellaterra Barcelona , Spain

22. Space Sciences Laboratory, University of California , Berkeley, 7 Gauss Way, Berkeley, CA 94720 , USA

23. University of California , Berkeley, 110 Sproul Hall #5800 Berkeley, CA 94720 , USA

24. Instituto de Astrofisica de Andalucía, Glorieta de la Astronomía , s/n, E-18008 Granada , Spain

25. University of Michigan , Ann Arbor, MI 48109 , USA

Abstract

ABSTRACT Combining different observational probes, such as galaxy clustering and weak lensing, is a promising technique for unveiling the physics of the Universe with upcoming dark energy experiments. The galaxy redshift sample from the Dark Energy Spectroscopic Instrument (DESI) will have a significant overlap with major ongoing imaging surveys specifically designed for weak lensing measurements: the Kilo-Degree Survey (KiDS), the Dark Energy Survey (DES), and the Hyper Suprime-Cam (HSC) survey. In this work, we analyse simulated redshift and lensing catalogues to establish a new strategy for combining high-quality cosmological imaging and spectroscopic data, in view of the first-year data assembly analysis of DESI. In a test case fitting for a reduced parameter set, we employ an optimal data compression scheme able to identify those aspects of the data that are most sensitive to cosmological information and amplify them with respect to other aspects of the data. We find this optimal compression approach is able to preserve all the information related to the growth of structures.

Funder

National Energy Research Scientific Computing Center

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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