Research

My research lies at the intersection of large-scale structure and the galaxy-halo connection. I use a combination of large high-resolution N-body simulations, models of the galaxy-halo connection, and spectroscopic surveys (currently the Dark Energy Spectroscopic Instrument, previously the Sloan Digital Sky Survey) to study the clustering of galaxies. I spend my day trying to answer questions like what are the ingredients that make up the recipe of the Universe? How can we accurately model the relationship between galaxies and the dense regions of dark matter in which they live? And how can we best take advantage of the wealth of data from large galaxy surveys like DESI?

My goal is to ultimately use small-scale galaxy clustering to probe and constrain both cosmology and the galaxy-halo connection. Small scales contain rich information about the growth of structure in our universe, as well as the processes that govern galaxy formation and evolution. However, taking advantage of this small-scale information requires a combination of precise observations, large volume and high-resolution simulations of the growth of dark matter halos in the Universe, and highly accurate models of the relationship between these dark matter halos and galaxies.

I am currently a Postdoctoral Fellow in the Cosmological Physics & Advanced Computing Group at Argonne National Laboratory. My recent work has focused on building a novel forward model of the galaxy-halo connection for creating multi-wavelenght, multi-tracer, multi-redshift mock galaxy catalogs for DESI.

I recently completed my PhD in Astrophysics at Vanderbilt University with Andreas Berlind. (Take a look at my academic genealogy, which includes Subramanyan Chandrasekhar and Niels Bohr!)

My thesis work focused on accurately modeling the small-scale clustering of galaxies in SDSS using a wide variety of galaxy clustering statistics and an extended version of the standard Halo Occupation Distribution model. My dissertation is titled "Developing an Accurate Probe of the Galaxy-Halo Connection: Baryonic Effects, Small-Scale Galaxy Clustering, and Halo Model Extensions." As part of this work, I investigated the limitations of Halo Occupation Distribution modeling compared to hydrodynamic simulations, as well as halo mass discrepancies between dark matter only and hydrodynamic simulations. For this work I made use of results from the Illustris, IllustrisTNG, and EAGLE simulations. A python module to implement the halo mass corrections presented in Beltz-Mohrmann & Berlind (2021) can be found here.

I served as the Allocation Manager for the Large Suite of Dark Matter Simulations (LasDamas) Project on XSEDE from 2017-2022. I have substantial experience running cosmological N-body simulations using the GADGET-4 simulation code, as well as generating initial conditions with 2nd order Lagrangian Perturbation Theory (2LPTic), identifying halos with ROCKSTAR, and running large parameter searches with MCMC.

Recent Talks

Winter DESI Meeting, December 2023

Building a physical understanding of galaxy evolution with data-driven astronomy, Kavli Institute for Theoretical Physics, UC Santa Barbara, January 2023

CAMELS Workshop, Center for Computational Astrophysics, December 2022

N-Body Shop Workshop, Center for Computational Astrophysics, June 2022

The Galaxy‑Halo Connection Across Cosmic Time - Recent Updates, Kavli Institute for Theoretical Physics, UC Santa Barbara, August 2020

Mock Innsbruck: The Connection Between Galaxies and Dark Matter Haloes, Universitaet Innsbruck, March 2020

First Shanghai Assembly on Cosmology and Galaxy Formation, Shanghai Jiao Tong University, November 2019

Santa Cruz Galaxy Workshop, UC Santa Cruz, August 2019

Membership

I am a member of DESI, LSST DESC, The N-Body Shop Collaboration, CAMELS, the American Astronomical Society, and Sigma Xi.

1st & 2nd Author Publications

Total citations: 88

(6) Toward Accurate Modeling of Galaxy Clustering on Small Scales: Halo Model Extensions and Lingering Tension
Beltz-Mohrmann, G. D., Szewciw, A. O., Berlind, A. A., Sinha, M., 2023, The Astrophysical Journal, 948(2):100, arXiv:2211.16105

(5) Toward Accurate Modeling of Galaxy Clustering on Small Scales: Constraining the Galaxy-Halo Connection with Optimal Statistics
Szewciw, A. O., Beltz-Mohrmann, G. D., Berlind, A. A., Sinha, M., 2022, The Astrophysical Journal, 926(1):15, arXiv:2110.03701

(4) The impact of baryonic physics on the abundance, clustering, and concentration of halos
Beltz-Mohrmann, G. D., Berlind, A. A., 2021, The Astrophysical Journal, 921(2):112, arXiv:2103.05076

(3) Testing the Accuracy of Halo Occupation Distribution Modelling using Hydrodynamical Simulations
Beltz-Mohrmann, G. D., Berlind, A. A., Szewciw, A. O., 2020, MNRAS, 491(4):5771, arXiv:1908.11448

(2) Radial Star Formation Histories in Fifteen Nearby Galaxies
Dale, D. A., Beltz-Mohrmann, G. D., Egan, A. A., Hatlestad, A. J., Herzog, L. J., Leung, A. S., McLane, J. N., Phenicie, C., Roberts, J. S., Barnes, K. L., Boquien, M., Calzetti, D., Cook, D. O., Kobulnicky, H. A., Staudaher, S. M., van Zee, L., 2016, The Astronomical Journal, 151(1):4, arXiv:1511.03285

(1) The Light Curve and Period of MT696
Souza, S. P., Beltz-Mohrmann, G. D., Sami, M., 2014, AAVSO, 42(1):154

Nth Author Publications

(2) Systematic Effects in Galaxy-Galaxy Lensing with DESI
Lange, Johannes U. et al., 2024, arXiv:2404.09397

(1) Redshift evolution and covariances for joint lensing and clustering studies with DESI Y1
Yuan, Sihan et al., 2024, submitted to MNRAS, arXiv:2403.00915

See my papers on ADS

Contact Me

Email address: gbeltzmohrmann@anl.gov

Office C145, Building 360, Argonne National Laboratory, 9700 S. Cass Avenue, Lemont, IL 60439

Media

About Me

I received my PhD in astrophysics from Vanderbilt University in 2022, and my BA in astrophysics from Wellesley College in 2016. I minored in German, and spent a semester abroad at Jacobs University in Bremen, Germany. I went to Bishop George Ahr High School (now St. Thomas Aquinas High School) in Edison, New Jersey.

In my spare time I like to play tennis, hike, play my violin, and play with my dog Gadget.

Gadget is also a scientist! He is a part of the Genius Dog Challenge, a project studying dog cognition based out of the Eotvos Lorand University in Budapest, Hungary. Gadget currently knows the names of more than 40 toys; this video is from when he knew 30.