2016
DOI: 10.1103/physrevd.94.043519
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Bias to CMB lensing measurements from the bispectrum of large-scale structure

Abstract: The rapidly improving precision of measurements of gravitational lensing of the Cosmic Microwave Background (CMB) also requires a corresponding increase in the precision of theoretical modeling. A commonly made approximation is to model the CMB deflection angle or lensing potential as a Gaussian random field. In this paper, however, we analytically quantify the influence of the non-Gaussianity of large-scale structure lenses, arising from nonlinear structure formation, on CMB lensing measurements. In particula… Show more

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Cited by 59 publications
(94 citation statements)
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“…From the measurement of κ CMB δ g , we determine the linear bias of the tracer sample, which is needed for the analytic calculation in Equation 13. We verify that κ CMB δ g agrees well with κ CMB δ g (up to a small residual bias consistent with N (3/2) [16]), and thus assess the kSZ-induced bias by comparing κ kSZ CMB δ g to κ CMB δ g . To approximately model the effects of star formation, feedback, and Helium reionization which are present in the simulations, we compare the amplitude of the kSZ power spectrum from the simulations to that expected in our theoretical framework, defining an "effective" f eff free as (C kSZ ) simulations = (f eff free ) 2 (C kSZ ) theory .…”
Section: Numerical Simulations a Validation Of Analytic Formalismmentioning
confidence: 78%
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“…From the measurement of κ CMB δ g , we determine the linear bias of the tracer sample, which is needed for the analytic calculation in Equation 13. We verify that κ CMB δ g agrees well with κ CMB δ g (up to a small residual bias consistent with N (3/2) [16]), and thus assess the kSZ-induced bias by comparing κ kSZ CMB δ g to κ CMB δ g . To approximately model the effects of star formation, feedback, and Helium reionization which are present in the simulations, we compare the amplitude of the kSZ power spectrum from the simulations to that expected in our theoretical framework, defining an "effective" f eff free as (C kSZ ) simulations = (f eff free ) 2 (C kSZ ) theory .…”
Section: Numerical Simulations a Validation Of Analytic Formalismmentioning
confidence: 78%
“…In Figures 2 and 3 we show a comparison between max = 4000 and max = 3000, while in our tests we also consider max = 2000. 16 We find that for a CMB-S4 like experiment in cross-correlation with LSST galaxy lensing, the maximum bias at low L goes from ≈ 15% for max = 4000 to 5% and 0.4% when max = 3000 and 2000, respectively. Similarly, the maximum bias to the auto-power spectrum (from Term B only) is reduced from ≈ 8% when max = 4000 to 3% and 0.3% when max = 3000 and 2000, respectively.…”
Section: B Reducing the Reconstruction Maxmentioning
confidence: 95%
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“…To make good on this promise, however, upcoming lensing measurements will need to control for a plethora of systematics related to beam calibration [14], galactic and extragalactic foregrounds [15][16][17], and non-Gaussian clustering of the lenses [18,19]. In addition, we must have confidence in our modelling of the lensing signal itself.…”
Section: Introductionmentioning
confidence: 99%
“…bias (Böhm et al 2016), which are small at the precision of the current work, and will be neglected.…”
Section: Lensing Autospectrum Estimationmentioning
confidence: 99%