Measuring and predicting galaxy assembly bias
Mapping how the signal varies with selection, number density, and redshift across IllustrisTNG galaxy samples.
Galaxy–halo connection · Assembly bias
Dark-matter halos remember how they formed. I study how that history changes the galaxies they host and the clustering signals used for cosmology.
Halo mass alone does not determine where halos live: concentration, formation time, spin, and accretion history also correlate with environment. Galaxy formation inherits and reshapes these correlations, creating galaxy assembly bias.
My work measures this signal across galaxy samples and redshifts, separates halo assembly bias from occupancy variation, and tests which halo properties can reproduce it. This is essential for robustly interpreting the small-scale clustering measured by DESI and other precision surveys.
Selected work
Mapping how the signal varies with selection, number density, and redshift across IllustrisTNG galaxy samples.
Connecting specific mass-accretion histories to star formation, gas loss, quenching, and clustering.
Showing that galaxy-formation modelling affects galaxy assembly bias more strongly than cosmology.
Testing how subhalo abundance matching captures galaxy clustering and its assembly-bias contribution.