HongShao: Recipe to Make a Massive Galaxy

The ultimate goal here is to build a model that can connect the assembly of massive dark matter halos to the growth of massive galaxies in them.
- i.e., Given a halo mass assembly history (MAH), can we (statistically) predict the 1-D or 2-D distribution of stellar masses of their central galaxies (above certain mass range) at different redshift range.
- We already have a (relatively) mature physical scenario: the two-phase formation scenario (e.g., Oser et al. 2010; 2012) in place. And there are many existing hydro-dynamic simulations or semi-analytic/empirical models that can help us.
In practice, it will be based on:
1. Deep photometry and accurate lensing capability of HSC survey.
2. Large footprint and high-quality photometry of the DECaLS survey, and its synergy with DESI spectroscopic survey.
- There are other datasets, such as the DES, KiDS, and CFIS imaging data to consider as well.
These data will provide us:
- Stellar mass density profiles of massive galaxies at $0 < z < 0.5$ and different definitions of aperture stellar masses.
- Geometric information such as the 1-D profile of ellipticity and position angles.
- Stellar mass functions using different definitions of aperture masses.
- Galaxy-galaxy lensing measurements.
- Two-point correlation measurements.
- Richness estimate around the sample or richness-based clusters samples.
These observations become the foundation of the modeling.

Reference

This project has a close connection to the ASAP repo that models the dark matter halo properties across the M100kpc-M10kpc plane.
It is also inspired by the Top_N_ tests presented using the jianbing repo.