Conveners
Session 5: Maximizing Information Content from LSS
- Marc Kamionkowsi
A major focus of the Snowmass2021 Cosmic Frontier report from the Topical Group on "Dark Energy and Cosmic Acceleration in the Modern Universe" (CF4) was on the compelling science cases for developing a Stage 5 Spectroscopic Facility. This Topical Group considered probes of both late-time cosmic acceleration and inflation based on observations of phenomena in the post-reionization era (z≲5),...
Scientific programs involving joint-analyses of galaxy surveys and CMB are increasingly gaining attention as they often increase the prospects to detect and characterize new signals by reducing systematics, cancelling cosmic variance and breaking degeneracies. The reconstruction of large-scale cosmological fluctuations at different epochs by using the CMB as a back-light will allow galaxy...
The advent of higher resolution and improved sensitivity CMB experiments in conjunction with deeper and wider galaxy surveys facilitates the exploration of cross correlations to detect weak signals. Among these, there is one of the two signals caused by the transverse velocity of halos: the moving lens effect. I will review the manifestation of the signal and summarize the perspective of...
The standard cosmological model has been thus far successful at predicting the clustering of galaxies on large physical scales. However, the standard model has not been thoroughly tested on smaller scales, where the spatial distribution of galaxies is affected by both cosmology and the physics of galaxy formation and evolution. Measuring galaxy clustering on small scales with the next...
Talk will be based on [arXiv:2403.03220][1] and references therein.
LSS surveys have significantly advanced from measuring angular clustering of galaxies using photographic plates to mapping three-dimensional clustering with spectroscopic fibers and robots. Meanwhile, statistical methods to analyze galaxy clustering and other biased tracers of LSS still rely on modeling two- and three-point...
In this talk, I will introduce a multi-fidelity emulation technique, designed to efficiently emulate summary statistics from cosmological simulations for high-dimensional parameter inference. Multi-fidelity emulation allows us to combine cosmological simulations of varying resolutions and volumes, enabling us to efficiently explore the high-dimensional parameter space of cosmological models...
