%0 Generic %1 zhou2023fieldlevel %A Zhou, Alan Junzhe %A Dodelson, Scott %D 2023 %K bayesian_analysis cosmology machine_learning phd %T A Field-Level Multi-Probe Analysis of the CMB, ISW, and the Galaxy Density Maps %U http://arxiv.org/abs/2304.01387 %X Extracting information from cosmic surveys is often done in a two-step process, construction of maps and then summary statistics such as two-point functions. We use simulations to demonstrate the advantages of a general Bayesian framework that consistently combines different cosmological experiments on the field level, and reconstructs both the maps and cosmological parameters. We apply our method to jointly reconstruct the primordial CMB, the Integrated Sachs Wolfe effect, and 6 tomographic galaxy density maps on the full sky on large scales along with several cosmological parameters. While the traditional maximum a posterior estimator has both 2-point level and field-level bias, the new approach yields unbiased cosmological constraints and improves the signal-to-noise ratio of the maps.

@misc{zhou2023fieldlevel, abstract = {Extracting information from cosmic surveys is often done in a two-step process, construction of maps and then summary statistics such as two-point functions. We use simulations to demonstrate the advantages of a general Bayesian framework that consistently combines different cosmological experiments on the field level, and reconstructs both the maps and cosmological parameters. We apply our method to jointly reconstruct the primordial CMB, the Integrated Sachs Wolfe effect, and 6 tomographic galaxy density maps on the full sky on large scales along with several cosmological parameters. While the traditional maximum a posterior estimator has both 2-point level and field-level bias, the new approach yields unbiased cosmological constraints and improves the signal-to-noise ratio of the maps.}, added-at = {2023-07-22T18:11:44.000+0200}, author = {Zhou, Alan Junzhe and Dodelson, Scott}, biburl = {https://www.bibsonomy.org/bibtex/287ff2a7c79492910bc247a1e5226256a/intfxdx}, description = {A Field-Level Multi-Probe Analysis of the CMB, ISW, and the Galaxy Density Maps}, interhash = {509a0aab212988eb8f7ded479a631872}, intrahash = {87ff2a7c79492910bc247a1e5226256a}, keywords = {bayesian_analysis cosmology machine_learning phd}, note = {cite arxiv:2304.01387}, timestamp = {2023-07-22T18:11:44.000+0200}, title = {A Field-Level Multi-Probe Analysis of the CMB, ISW, and the Galaxy Density Maps}, url = {http://arxiv.org/abs/2304.01387}, year = 2023 }