HongShao: Recipe to Make a Massive Galaxy

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• 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.