2015
DOI: 10.1093/mnras/stv339
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CFHTLenS: a Gaussian likelihood is a sufficient approximation for a cosmological analysis of third-order cosmic shear statistics

Abstract: We study the correlations of the shear signal between triplets of sources in the CanadaFrance-Hawaii Lensing Survey (CFHTLenS) to probe cosmological parameters via the matter bispectrum. In contrast to previous studies, we adopted a non-Gaussian model of the data likelihood which is supported by our simulations of the survey. We find that for state-of-theart surveys, similar to CFHTLenS, a Gaussian likelihood analysis is a reasonable approximation, albeit small differences in the parameter constraints are alre… Show more

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Cited by 20 publications
(16 citation statements)
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References 81 publications
(118 reference statements)
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“…The modelling at small scales is obtained including the analytical refinement based on N-body, cold dark matter only simulations (Scoccimarro & Couchman 2001; Gil-Marín et al 2012); predictions from the third moments from perturbation theory only would start departing from the T17 measurement at ∼ 30 arcmin, reaching a disagreement of 80 per cent at 5 arcmin in the first tomographic bin. This analytical refinement comes with a modelling uncertainty (Van Waerbeke et al 2001;Semboloni et al 2011;Harnois-Déraps et al 2016;Simon et al 2015), which is taken into account in our covariance matrix (see § 5.1). We test in § 6.1 that this level of accuracy of our modelling is good enough for our cosmological analysis.…”
Section: Testing Second and Third Moments Modellingmentioning
confidence: 99%
“…The modelling at small scales is obtained including the analytical refinement based on N-body, cold dark matter only simulations (Scoccimarro & Couchman 2001; Gil-Marín et al 2012); predictions from the third moments from perturbation theory only would start departing from the T17 measurement at ∼ 30 arcmin, reaching a disagreement of 80 per cent at 5 arcmin in the first tomographic bin. This analytical refinement comes with a modelling uncertainty (Van Waerbeke et al 2001;Semboloni et al 2011;Harnois-Déraps et al 2016;Simon et al 2015), which is taken into account in our covariance matrix (see § 5.1). We test in § 6.1 that this level of accuracy of our modelling is good enough for our cosmological analysis.…”
Section: Testing Second and Third Moments Modellingmentioning
confidence: 99%
“…We estimate the red fraction directly from the data in each redshift bin, using the BPZ template information T B. Motivated by Simon et al (2015), we identify red galaxies as objects with T B < 1.5. For the five tomographic bins, we obtain fractions of red galaxies f red = {0.04, 0.12, 0.27, 0.18, 0.04}; we estimate f red = 0.15 for the broad bin.…”
Section: Effect Of Intrinsic Alignmentsmentioning
confidence: 99%
“…Weak gravitational lensing has been successfully used in a wide range of applications, including for example cosmic shear studies which are sensitive to the growth of large-scale structure (e.g. Schrabback et al 2010;Kilbinger et al 2013;Heymans et al 2013;Huff et al 2014;Kitching et al 2014;Simon et al 2015), the mass calibration of galaxy clusters (e.g. von der Linden et al 2014; Kettula et al 2015;Ford et al 2015;Hoekstra et al 2015), and constraints on the azimuthally-averaged mass profiles of galaxy matter haloes (e.g.…”
mentioning
confidence: 99%