%0 Generic %1 harnoisderaps2020cosmic %A Harnois-Déraps, Joachim %A Martinet, Nicolas %A Castro, Tiago %A Dolag, Klaus %A Giblin, Benjamin %A Heymans, Catherine %A Hildebrandt, Hendrik %A Xia, Qianli %D 2020 %K library %T Cosmic Shear Cosmology Beyond 2-Point Statistics: A Combined Peak Count and Correlation Function Analysis of DES-Y1 %U http://arxiv.org/abs/2012.02777 %X We constrain cosmological parameters from a joint cosmic shear analysis of peak-counts and the two-point shear correlation function, as measured from the Dark Energy Survey (DES-Y1). We find the structure growth parameter $S_8\equiv \sigma_8Ømega_m/0.3 = 0.766^+0.033_-0.038$, which at 4.8% precision, provides one of the tightest constraints on $S_8$ from the DES-Y1 weak lensing data. In our simulation-based method we determine the expected DES-Y1 peak-count signal for a range of cosmologies sampled in four $w$CDM parameters ($Ømega_m$, $\sigma_8$, $h$, $w_0$). We also determine the joint peak-correlation function covariance matrix with over 1000 realisations at our fiducial cosmology. With mock DES-Y1 data we calibrate the impact of photometric redshift and shear calibration uncertainty on the peak-count, marginalising over these uncertainties in our cosmological analysis. Using dedicated training samples we show that our measurements are unaffected by mass resolution limits in the simulation, and that our constraints are robust against uncertainty in the effect of baryon feedback. Accurate modelling for the impact of intrinsic alignments on the tomographic peak-count remains a challenge, currently limiting our exploitation of cross-correlated peak counts between high and low redshift bins. We demonstrate that once calibrated, a fully tomographic joint peak-count and correlation function analysis has the potential to reach a 3% precision on $S_8$ for DES-Y1. Our methodology can be adopted to model any statistic that is sensitive to the non-Gaussian information encoded in the shear field. In order to accelerate the development of these beyond-two-point cosmic shear studies, our simulations are made available to the community, on request.

@misc{harnoisderaps2020cosmic, abstract = {We constrain cosmological parameters from a joint cosmic shear analysis of peak-counts and the two-point shear correlation function, as measured from the Dark Energy Survey (DES-Y1). We find the structure growth parameter $S_8\equiv \sigma_8\sqrt{\Omega_{\rm m}/0.3} = 0.766^{+0.033}_{-0.038}$, which at 4.8% precision, provides one of the tightest constraints on $S_8$ from the DES-Y1 weak lensing data. In our simulation-based method we determine the expected DES-Y1 peak-count signal for a range of cosmologies sampled in four $w$CDM parameters ($\Omega_{\rm m}$, $\sigma_8$, $h$, $w_0$). We also determine the joint peak-correlation function covariance matrix with over 1000 realisations at our fiducial cosmology. With mock DES-Y1 data we calibrate the impact of photometric redshift and shear calibration uncertainty on the peak-count, marginalising over these uncertainties in our cosmological analysis. Using dedicated training samples we show that our measurements are unaffected by mass resolution limits in the simulation, and that our constraints are robust against uncertainty in the effect of baryon feedback. Accurate modelling for the impact of intrinsic alignments on the tomographic peak-count remains a challenge, currently limiting our exploitation of cross-correlated peak counts between high and low redshift bins. We demonstrate that once calibrated, a fully tomographic joint peak-count and correlation function analysis has the potential to reach a 3% precision on $S_8$ for DES-Y1. Our methodology can be adopted to model any statistic that is sensitive to the non-Gaussian information encoded in the shear field. In order to accelerate the development of these beyond-two-point cosmic shear studies, our simulations are made available to the community, on request.}, added-at = {2020-12-07T06:45:23.000+0100}, author = {Harnois-Déraps, Joachim and Martinet, Nicolas and Castro, Tiago and Dolag, Klaus and Giblin, Benjamin and Heymans, Catherine and Hildebrandt, Hendrik and Xia, Qianli}, biburl = {https://www.bibsonomy.org/bibtex/2d81f075e2418f4d11d00d88a0c37992a/gpkulkarni}, description = {Cosmic Shear Cosmology Beyond 2-Point Statistics: A Combined Peak Count and Correlation Function Analysis of DES-Y1}, interhash = {077ee3a346ca139f8693b2802ace90f2}, intrahash = {d81f075e2418f4d11d00d88a0c37992a}, keywords = {library}, note = {cite arxiv:2012.02777Comment: 26 pages, 23 figures}, timestamp = {2020-12-07T06:45:23.000+0100}, title = {Cosmic Shear Cosmology Beyond 2-Point Statistics: A Combined Peak Count and Correlation Function Analysis of DES-Y1}, url = {http://arxiv.org/abs/2012.02777}, year = 2020 }