5 papers
Constraining Dynamical Dark Energy from Galaxy Clustering with Simulation-Based Priors
Shu-Fan Chen, Mikhail M. Ivanov
The effective-field theory based full-shape analysis with simulation-based priors (EFT-SBP) is the novel analysis of galaxy clustering data that allows one to combine merits of per…
Simulation-Based Priors without Simulations: an Analytic Perspective on EFT Parameters of Galaxies
Mikhail M. Ivanov
Effective field theory (EFT)-based full-shape analysis with simulation-based priors (SBPs) is a novel approach to galaxy clustering data analysis, which significantly boosts the co…
Full-shape analysis with simulation-based priors: cosmological parameters and the structure growth anomaly
Mikhail M. Ivanov, Andrej Obuljen, Carolina Cuesta-Lazaro +1
We explore full-shape analysis with simulation-based priors, which is the simplest approach to galaxy clustering data analysis that combines effective field theory (EFT) on large s…
Fundamental physics with the Lyman-alpha forest: constraints on the growth of structure and neutrino masses from SDSS with effective field theory
Mikhail M. Ivanov, Michael W. Toomey, Naim Göksel Karaçaylı
We present an effective field theory (EFT) approach to extract fundamental cosmological parameters from the Lyman-alpha forest flux fluctuations as an alternative to the standard s…
The Millennium and Astrid galaxies in effective field theory: comparison with galaxy-halo connection models at the field level
Mikhail M. Ivanov, Carolina Cuesta-Lazaro, Andrej Obuljen +8
Cosmological analyses of redshift space clustering data are primarily based on using luminous ``red'' galaxies (LRGs) and ``blue'' emission line galaxies (ELGs) to trace underlying…