4.7 Article

An accurate halo model for fitting non-linear cosmological power spectra and baryonic feedback models

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stv2036

关键词

gravitational lensing: weak; cosmology: theory; dark energy; large-scale structure of Universe

资金

  1. STFC
  2. European Research Council under the EC FP7 grant [240185]
  3. STFC [ST/J001422/1, ST/K001051/1] Funding Source: UKRI
  4. Science and Technology Facilities Council [ST/K001051/1] Funding Source: researchfish

向作者/读者索取更多资源

We present an optimized variant of the halo model, designed to produce accurate matter power spectra well into the non-linear regime for a wide range of cosmological models. To do this, we introduce physically motivated free parameters into the halo-model formalism and fit these to data from high-resolution N-body simulations. For a variety of Lambda cold dark matter (Lambda CDM) and wCDM models, the halo-model power is accurate to similar or equal to 5 per cent for k <= 10h Mpc(-1) and z <= 2. An advantage of our new halo model is that it can be adapted to account for the effects of baryonic feedback on the power spectrum. We demonstrate this by fitting the halo model to power spectra from the OWLS (OverWhelmingly Large Simulations) hydrodynamical simulation suite via parameters that govern halo internal structure. We are able to fit all feedback models investigated at the 5 per cent level using only two free parameters, and we place limits on the range of these halo parameters for feedback models investigated by the OWLS simulations. Accurate predictions to high k are vital for weak-lensing surveys, and these halo parameters could be considered nuisance parameters to marginalize over in future analyses to mitigate uncertainty regarding the details of feedback. Finally, we investigate how lensing observables predicted by our model compare to those from simulations and from HALOFIT for a range of k-cuts and feedback models and quantify the angular scales at which these effects become important. Code to calculate power spectra from the model presented in this paper can be found at https://github.com/alexander-mead/hmcode.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据