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We present a Markov-Chain Monte-Carlo (MCMC) forecast for the precision of neutrino mass and cosmological parameter measurements with a Euclid-like galaxy clustering survey.
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L. Perotto, J. Lesgourgues, S. Hannestad, H. Tu and Y. Y. Y. Wong, Probing cosmological parameters with the CMB: Forecasts from full Monte Carlo simulations , JCAP 0610
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M. Pietroni, Flowing with Time: a New Approach to Nonlinear Cosmological Perturbations , JCAP 0810
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E. Noda, M. Peloso and M. Pietroni, A Robust BAO Extractor , JCAP 1708
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A. Lewis, Efficient sampling of fast and slow cosmological parameters , Phys. Rev. D87
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A. Barreira and F. Schmidt, Response Approach to the Matter Power Spectrum Covariance , JCAP 1711
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H.-M. Zhu, Y. Yu, U.-L. Pen, X. Chen and H.-R. Yu, Nonlinear reconstruction , Phys. Rev. D96
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V. Desjacques, D. Jeong and F. Schmidt, Large-Scale Galaxy Bias , Phys. Rept. 733
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M. M. Abidi and T. Baldauf, Cubic Halo Bias in Eulerian and Lagrangian Space , JCAP 1807
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L. Senatore and G. Trevisan, On the IR-Resummation in the EFTofLSS , JCAP 1805
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A. Upadhye, Neutrino mass and dark energy constraints from redshift-space distortions , JCAP 1905
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