Kaustav Mitra

Postdoc, Argonne National Lab

Cosmological Physics & Advanced Computing group

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Email: kmitra@anl.gov and k.mitra.kaustav@gmail.com
See my work

Work

Ongoing Research:

1. Differentiable and probabilistic empirical modelling of galaxy formation and evolution

The goal is to jointly forward-model complex multi-wavelength multi-survey data, to better constrain galaxy formation physics and cosmological parameters. A crucial service work generated by this research is the creation of extremely realistic mock catalogues that are invaluable for the calibration and validation pipelines in different surveys, such as DESI, Rubin, Roman, etc. This invited talk at the Mock-NYC 2026 conference, offers a snapshot of where I was in this research as of mid-January, 2026. Learn more HERE.

2. DESI Y3 full-scale joint analysis of clustering and g-g lensing

I am leading the DESI Y3 full-scale joint analysis of clustering and g-g lensing, with the goal to precisely constrain cosmological parameters \(\Omega_m\) and \(S_8\) by extracting small-scale information from the data, while marginalizing over the uncertainties in the galaxy-halo connection.

More details HERE. [UNDER CONSTRUCTION, please check back later for updates on this ongoing research work.]



Past Research:

My PhD thesis work at Yale, with Frank C. van den Bosch, focused on using satellite kinematics to constrain the galaxy-halo connection and cosmological parameters, based on a novel Bayesian hierarchical likelihood inference framework called BASILISK, that I developed during my PhD thesis.

This recorded video of an invited talk [Feb 04, 2026] at Clemson University's Department of Physics and Astronomy online seminar gives a very brief overview of my PhD thesis work at Yale.

Learn more about my past research work HERE.

Publications

Please visit this SciX page to see my list of refereed publications (only papers, i.e., excluding conference proceedings).

For a more comprehensive overview of my research contributions, including conference proceedings, or to see my citation metrics, please visit this Google Scholar page.

Selected publications

Empirical Galaxy Formation

Motivation:

The traditional techniques of modelling the galaxy-halo connection, such as the HOD / CLF modelling or abundance matching, were mostly developed in the first decade of this millenium, primarily with SDSS Main Galaxy Sample in mind: a low redshift sample where galaxies do not evolve significantly and a simple r-band cut results in a fairly complete sample. But the nature of galaxy survey data is changing drastically with DESI, Rubin, ROMAN, DESI-2 and other ongoing and upcoming surveys. The traditional approach to galaxy-halo connection will soon prove to be insufficient to capture the unprecedented dynamic range and the complexity in the joint distribution of multi-wavelength multi-survey data across vast redshift ranges. Galaxies evolve drastically between redshifts 10 and 0.1, and moreover, key features in galaxy SEDs move in and out of survey filters; as a result of these two together, a simple magnitude or color cut will produce very different galaxy samples at different redshifts.

Modelling this complex data is not only crucial to improve our understanding of galaxy formation and evolution, but is also an essential step in using these galaxy surveys for (a) unbiased cosmology inference and (b) probing beyond-standard-model physics.

One can go beyond simplicity of HOD models or abundance matching by using a physics-driven galaxy formation model. Simulations and semi-analytic models (SAM) of galaxy formation produce realistic and complex populations of galaxies. However, they are not efficient enough to be used in an inference pipeline for modelling raw data with survey systematics, and to perform a full-fledged MCMC to marginalize over all the model uncertainties in the subgrid physics.

My ongoing research:

To address this dire necessity, my ongoing work focuses on empirical modelling of galaxy formation and evolution, with the goal to jointly forward-model complex multi-wavelength multi-survey data from different telescopes, to better constrain galaxy formation physics and cosmological parameters.

For example, the following plot shows the apparent magnitude distributions (top row), color-magnitude diagrams (middle row), and conditional color PDF for bins of i-band apparent magnitude cut (bottom row), of COSMOS-2020 data across different redshift bins (different columns). Overlayed with the data are the fits from diffsky, an empirical galaxy formation model that uses modern AI/ML library called JAX to enable end-to-end differentiable forward modelling of population-level galaxy SEDs for any type of galaxy survey.

diffsky fit to COSMOS-2020 data.

Past Research Work

PhD Thesis:

My PhD thesis work at Yale focused on using satellite kinematics to constrain the galaxy-halo connection and cosmological parameters, based on a novel Bayesian hierarchical likelihood inference framework called BASILISK, that I developed during my PhD thesis.

This recorded video of an invited talk [Feb 04, 2026] at Clemson University's Department of Physics and Astronomy online seminar gives a very brief overview of my PhD thesis work at Yale.

The following are a few of my key highlights from my past research work: either demonstrating some particular methodology or showcasing a specific result.

DESI Y3 full-scale joint analysis of clustering and galaxy-galaxy lensing

UNDER CONSTRUCTION. Please check back later for updates on this ongoing research work.

Academic Photo Gallery

Mock-NYC Conference, Jan 2026, Flatiron Institute, New York

Mock-NYC 2026 conference photo.

A wonderful conference on the galaxy-halo connection, empirical modelling of galaxy formation, semi-analytical models, hydrodynamical simulations, and joining forces for the creation of mock catalogues needed for current and upcoming galaxy surveys, and for the development of modern cosmological analyses pipelines.


Winter AAS, January 2026, Phoenix, Arizona

thesis talk at AAS
photo with Cheng-Han at AAS

The first photo is of my thesis talk, captured by Cheng-Han Hsieh, who is there in the second photo with me.


Doctoral defense party, May 2025, Yale University, New Haven, CT

post-defense party at Yale
post-defense party at Yale

A celebration with my advisor, friends, and colleagues at Yale, right after my PhD thesis defense.


Christmas Party, December 2024, Yale University, New Haven, CT

Mock-NYC 2026 conference photo.

The van den Bosch research group at Yale University, towards the end of my PhD.


Santa Cruz Galaxy Workshop, July 2024, UCSC, California

Mock-NYC 2026 conference photo.

A yearly tradition, an extremely stimulating and enjoyable workshop / conference on any and all aspects of galaxy formation physics. Prof. Joel Primack and Prof. Avishai Dekel, the two giants in the field and the main organizers of the yearly workshops, who both passed away in December 2025, are sorely missed.

CAFES seminars

Cosmology @ Argonne For Early-career Scientists

UNDER CONSTRUCTION. Please check back later for updates on this ongoing research work.