Abstract
An accurate modelling of baryonic feedback effects is required to exploit the full potential of future weak-lensing surveys such as Euclid or LSST. In this second paper in a series of two, we combine Euclid-like mock data of the cosmic shear power spectrum with an eROSITA X-ray mock of the cluster gas fraction to run a combined likelihood analysis including both cosmological and baryonic parameters. Following the first paper of this series, the baryonic effects (based on the baryonic correction model of ref. [1]) are included in both the tomographic power spectrum and the covariance matrix. However, this time we assume the more realistic case of a Lambda CDM cosmology with massive neutrinos and we consider several extensions of the currently favoured cosmological model. For the standard Lambda CDM case, we show that including X-ray data reduces the uncertainties on the sum of the neutrino mass by similar to 30 percent, while there is only a mild improvement on other parameters such as Omega(m) and a sigma(8). As extensions of Lambda CDM, we consider the cases of a dynamical dark energy model (wCDM), a f (R) gravity model (fRCDM), and a mixed dark matter model (AMDM) with both a cold and a warm/hot dark matter component. We find that combining weak-lensing with X-ray data only leads to a mild improvement of the constraints on the additional parameters of wCDM, while the improvement is more substantial for both fRCDM and Lambda MDM. Ignoring baryonic effects in the analysis pipeline leads to significant false-detections of either phantom dark energy or a light subdominant dark matter component. Overall we conclude that for all cosmologies considered, a general parametrisation of baryonic effects is both necessary and sufficient to obtain tight constraints on cosmological parameters.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Physik |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 530 Physik |
ISSN: | 1475-7516 |
Sprache: | Englisch |
Dokumenten ID: | 89343 |
Datum der Veröffentlichung auf Open Access LMU: | 25. Jan. 2022, 09:29 |
Letzte Änderungen: | 25. Jan. 2022, 09:29 |