Conveners
Cosmology 1
- Ramon Miquel (IFAE Barcelona)
TBD
Non-linear cosmological information can be effectively extracted by jointly analyzing the pre- and post-reconstruction power spectra of large-scale structure. In this work, we present measurements of the pre- and post-reconstruction power spectra, as well as cross power spectrum between the density fields before and after the reconstruction in the Luminous Red Galaxies (LRGs) of the DESI DR1...
We apply a halo velocity bias model, $\gamma_{f}$, within the Aemulus simulation suite for General Relativity (GR) to investigate its efficacy in identifying the signature of assembly bias and Modified Gravity (MG). In the investigation of assembly bias, utilizing galaxy clustering data ranging from scales of $0.1 \sim 60 h^{-1}{\rm {Mpc}}$, we discover that our emulator model accurately...
Accuracy photometric redshift (photo-z) estimation is crucial in imaging surveys. We present the photo-z estimation by the normalizing flow, a powerful deep learning method that can approximate complex probability distribution. We demonstrate that the method is able to give reliable photo-z estimation across a number of datasets. Besides accurate photo-z estimation, the characterization of the...
Cosmic shear surveys serve as a powerful tool for mapping the underlying matter density field, including non-visible dark matter. A key challenge in cosmic shear surveys is the accurate reconstruction of lensing convergence (κ) maps from shear catalogs impacted by survey boundaries and masks, which seminal Kaiser-Squires (KS) method are not designed to handle. To overcome these limitations, we...
