Data-driven Cosmology from Three-dimensional Light Cones
arXiv:2210.10052 · doi:10.3847/1538-4357/acb350
Abstract
We present a data-driven technique to analyze multifrequency images from upcoming cosmological surveys mapping large sky area. Using full information from the data at the two-point level, our method can simultaneously constrain the large-scale structure (LSS), the spectra and redshift distribution of emitting sources, and the noise in the observed data without any prior assumptions beyond the homogeneity and isotropy of cosmological perturbations. In particular, the method does not rely on source detection or photometric or spectroscopic redshift estimates. Here, we present the formalism and demonstrate our technique with a mock observation from nine optical and near-infrared photometric bands. Our method can recover the input signal and noise without bias, and quantify the uncertainty on the constraints. Our technique provides a flexible framework to analyze the LSS observation traced by different types of sources, which has potential for wide application to current or future cosmological datasets such as SPHEREx, Rubin Observatory, Euclid, or the Nancy Grace Roman Space Telescope.
22 pages, 20 figures, accepted by ApJ
References in corpus (10)
- Cosmological Constraints from the SDSS Luminous Red Galaxies
- COSMOS Photometric Redshifts with 30-bands for 2-deg2
- Prime Focus Spectrograph (PFS) for the Subaru Telescope: Overview, recent progress, and future perspectives
- On the Origin of Near-Infrared Extragalactic Background Light Anisotropy
- Line-Intensity Mapping: Theory Review
- Intensity mapping of [CII] from early galaxies
- Scientific Synergy Between LSST and Euclid
- 2-FAST: Fast and accurate computation of projected two-point functions
- Cross-correlation of cosmic far-infrared background anisotropies with large scale structures
- Near-infrared Extragalactic Background Light Fluctuations on Nonlinear Scales