TY - JOUR
T1 - Cosmology from clustering, cosmic shear, CMB lensing, and cross correlations
T2 - combining Rubin observatory and Simons Observatory
AU - Fang, Xiao
AU - Eifler, Tim
AU - Schaan, Emmanuel
AU - Huang, Hung Jin
AU - Krause, Elisabeth
AU - Ferraro, Simone
N1 - Funding Information:
We thank Melissa Graham for providing the simulated galaxy photo-z catalog used in her LSST photo-z studies. We also thank Martin White and an anonymous referee for useful comments on the manuscript. XF, TE, and HH are supported by the Department of Energy grant DE-SC0020215 and by NASA ROSES ATP 16-ATP16-0084 grant. XF is also supported by the Berkeley Center for Cosmological Physics. ES is supported by the Chamberlain fellowship at Lawrence Berkeley National Laboratory. EK is supported in part by the Department of Energy grant DESC0020247, the David & Lucile Packard Foundation and the Alfred P. Sloan Foundation. SF is supported by the Physics Division of Lawrence Berkeley National Laboratory. Calculations in this paper use High Performance Computing (HPC) resources supported by the University of Arizona TRIF, UITS, and RDI and maintained by the UA Research Technologies department.
Publisher Copyright:
© 2021 The Author(s)
PY - 2022/2/1
Y1 - 2022/2/1
N2 - In the near future, the overlap of the Rubin Observatory Legacy Survey of Space and Time (LSST) and the Simons Observatory (SO) will present an ideal opportunity for joint cosmological data set analyses. In this paper, we simulate the joint likelihood analysis of these two experiments using six two-point functions derived from galaxy position, galaxy shear, and CMB lensing convergence fields. Our analysis focuses on realistic noise and systematics models and we find that the dark energy Figure of merit (FoM) increases by 53 per cent (92 per cent) from LSST-only to LSST+SO in Year 1 (Year 6). We also investigate the benefits of using the same galaxy sample for both clustering and lensing analyses, and find the choice improves the overall signal to noise by ∼30−40 per cent, which significantly improves the photo-z calibration and mildly improves the cosmological constraints. Finally, we explore the effects of catastrophic photo-z outliers finding that they cause significant parameter biases when ignored. We develop a new mitigation approach termed ‘island model’, which corrects a large fraction of the biases with only a few parameters while preserving the constraining power.
AB - In the near future, the overlap of the Rubin Observatory Legacy Survey of Space and Time (LSST) and the Simons Observatory (SO) will present an ideal opportunity for joint cosmological data set analyses. In this paper, we simulate the joint likelihood analysis of these two experiments using six two-point functions derived from galaxy position, galaxy shear, and CMB lensing convergence fields. Our analysis focuses on realistic noise and systematics models and we find that the dark energy Figure of merit (FoM) increases by 53 per cent (92 per cent) from LSST-only to LSST+SO in Year 1 (Year 6). We also investigate the benefits of using the same galaxy sample for both clustering and lensing analyses, and find the choice improves the overall signal to noise by ∼30−40 per cent, which significantly improves the photo-z calibration and mildly improves the cosmological constraints. Finally, we explore the effects of catastrophic photo-z outliers finding that they cause significant parameter biases when ignored. We develop a new mitigation approach termed ‘island model’, which corrects a large fraction of the biases with only a few parameters while preserving the constraining power.
KW - cosmological parameters
KW - cosmology: theory
KW - large-scale structure of Universe
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U2 - 10.1093/mnras/stab3410
DO - 10.1093/mnras/stab3410
M3 - Article
AN - SCOPUS:85130037134
SN - 0035-8711
VL - 509
SP - 5721
EP - 5736
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 4
ER -