The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3x2-pt statistics
The current generation of large galaxy surveys will test the cosmological model by combining multiple types of observational probes. Realising the statistical promise of these new datasets requires rigorous attention to all aspects of analysis including cosmological measurements, modelling, covarian...
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Maynooth Academic Publishing
2025-03-01
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| Series: | The Open Journal of Astrophysics |
| Online Access: | https://doi.org/10.33232/001c.131903 |
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| author | Chris Blake C. Garcia-Quintero S. Ahlen D. Bianchi D. Brooks T. Claybaugh A. de la Macorra J. DeRose A. Dey P. Doel N. Emas S. Ferraro J. E. Forero-Romero G. Gutierrez S. Heydenreich K. Honscheid C. Howlett M. Ishak S. Joudaki E. Jullo R. Kehoe D. Kirkby A. Kremin A. Krolewski M. Landriau J. U. Lange A. Leauthaud M. E. Levi M. Manera R. Miquel J. Moustakas G. Niz W. J. Percival I. Pérez-Ràfols A. Porredon G. Rossi R. Ruggeri E. Sanchez C. Saulder D. Schlegel D. Sprayberry Z. Sun G. Tarlé B. A. Weaver |
| author_facet | Chris Blake C. Garcia-Quintero S. Ahlen D. Bianchi D. Brooks T. Claybaugh A. de la Macorra J. DeRose A. Dey P. Doel N. Emas S. Ferraro J. E. Forero-Romero G. Gutierrez S. Heydenreich K. Honscheid C. Howlett M. Ishak S. Joudaki E. Jullo R. Kehoe D. Kirkby A. Kremin A. Krolewski M. Landriau J. U. Lange A. Leauthaud M. E. Levi M. Manera R. Miquel J. Moustakas G. Niz W. J. Percival I. Pérez-Ràfols A. Porredon G. Rossi R. Ruggeri E. Sanchez C. Saulder D. Schlegel D. Sprayberry Z. Sun G. Tarlé B. A. Weaver |
| author_sort | Chris Blake |
| collection | DOAJ |
| description | The current generation of large galaxy surveys will test the cosmological model by combining multiple types of observational probes. Realising the statistical promise of these new datasets requires rigorous attention to all aspects of analysis including cosmological measurements, modelling, covariance and parameter likelihood. In this paper we present the results of an end-to-end simulation study designed to test the analysis pipeline for the combination of the Dark Energy Spectroscopic Instrument (DESI) Year 1 galaxy redshift dataset and separate weak gravitational lensing information from the Kilo-Degree Survey, Dark Energy Survey and Hyper-Suprime-Cam Survey. Our analysis employs the 3x2-pt correlation functions including cosmic shear and galaxy-galaxy lensing, together with the projected correlation function of the spectroscopic DESI lenses. We build realistic simulations of these datasets including galaxy halo occupation distributions, photometric redshift errors, weights, multiplicative shear calibration biases and magnification. We calculate the analytical covariance of these correlation functions including the Gaussian, noise and super-sample contributions, and show that our covariance determination agrees with estimates based on the ensemble of simulations. We use a Bayesian inference platform to demonstrate that we can recover the fiducial cosmological parameters of the simulation within the statistical error margin of the experiment, investigating the sensitivity to scale cuts. This study is the first in a sequence of papers in which we present and validate the large-scale 3x2-pt cosmological analysis of DESI-Y1. |
| format | Article |
| id | doaj-art-8090bc0a90da4bb6a6699de89e1222aa |
| institution | DOAJ |
| issn | 2565-6120 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Maynooth Academic Publishing |
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| series | The Open Journal of Astrophysics |
| spelling | doaj-art-8090bc0a90da4bb6a6699de89e1222aa2025-08-20T02:41:29ZengMaynooth Academic PublishingThe Open Journal of Astrophysics2565-61202025-03-01810.33232/001c.131903The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3x2-pt statisticsChris BlakeC. Garcia-QuinteroS. AhlenD. BianchiD. BrooksT. ClaybaughA. de la MacorraJ. DeRoseA. DeyP. DoelN. EmasS. FerraroJ. E. Forero-RomeroG. GutierrezS. HeydenreichK. HonscheidC. HowlettM. IshakS. JoudakiE. JulloR. KehoeD. KirkbyA. KreminA. KrolewskiM. LandriauJ. U. LangeA. LeauthaudM. E. LeviM. ManeraR. MiquelJ. MoustakasG. NizW. J. PercivalI. Pérez-RàfolsA. PorredonG. RossiR. RuggeriE. SanchezC. SaulderD. SchlegelD. SprayberryZ. SunG. TarléB. A. WeaverThe current generation of large galaxy surveys will test the cosmological model by combining multiple types of observational probes. Realising the statistical promise of these new datasets requires rigorous attention to all aspects of analysis including cosmological measurements, modelling, covariance and parameter likelihood. In this paper we present the results of an end-to-end simulation study designed to test the analysis pipeline for the combination of the Dark Energy Spectroscopic Instrument (DESI) Year 1 galaxy redshift dataset and separate weak gravitational lensing information from the Kilo-Degree Survey, Dark Energy Survey and Hyper-Suprime-Cam Survey. Our analysis employs the 3x2-pt correlation functions including cosmic shear and galaxy-galaxy lensing, together with the projected correlation function of the spectroscopic DESI lenses. We build realistic simulations of these datasets including galaxy halo occupation distributions, photometric redshift errors, weights, multiplicative shear calibration biases and magnification. We calculate the analytical covariance of these correlation functions including the Gaussian, noise and super-sample contributions, and show that our covariance determination agrees with estimates based on the ensemble of simulations. We use a Bayesian inference platform to demonstrate that we can recover the fiducial cosmological parameters of the simulation within the statistical error margin of the experiment, investigating the sensitivity to scale cuts. This study is the first in a sequence of papers in which we present and validate the large-scale 3x2-pt cosmological analysis of DESI-Y1.https://doi.org/10.33232/001c.131903 |
| spellingShingle | Chris Blake C. Garcia-Quintero S. Ahlen D. Bianchi D. Brooks T. Claybaugh A. de la Macorra J. DeRose A. Dey P. Doel N. Emas S. Ferraro J. E. Forero-Romero G. Gutierrez S. Heydenreich K. Honscheid C. Howlett M. Ishak S. Joudaki E. Jullo R. Kehoe D. Kirkby A. Kremin A. Krolewski M. Landriau J. U. Lange A. Leauthaud M. E. Levi M. Manera R. Miquel J. Moustakas G. Niz W. J. Percival I. Pérez-Ràfols A. Porredon G. Rossi R. Ruggeri E. Sanchez C. Saulder D. Schlegel D. Sprayberry Z. Sun G. Tarlé B. A. Weaver The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3x2-pt statistics The Open Journal of Astrophysics |
| title | The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3x2-pt statistics |
| title_full | The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3x2-pt statistics |
| title_fullStr | The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3x2-pt statistics |
| title_full_unstemmed | The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3x2-pt statistics |
| title_short | The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3x2-pt statistics |
| title_sort | desi lensing mock challenge large scale cosmological analysis of 3x2 pt statistics |
| url | https://doi.org/10.33232/001c.131903 |
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