Andres Salcedo

  • Program Year: 4
  • Academic Institution: Ohio State University
  • Field of Study: Astronomy
  • Academic Advisor: David Weinberg
  • Practicum(s):
    Argonne National Laboratory (2017)
  • Degree(s):
    B.S. Mathematics, and B.S. Physics, Lehigh University, 2015

Summary of Research

My research is focused on cosmology and large scale structure. Cosmic structure evolved from quantum fluctuations in the primordial matter-density field. Since this evolution is dominated by gravitational dynamics, it preserves significant memory of its initial conditions. This makes large scale structure particularly sensitive to the cosmological properties of the primordial matter-density field. This sensitivity can be exploited with simulations and data from the Dark Energy Survey to constrain cosmological parameters, particularly the matter density and amplitude of initial fluctuations.

My current research is focused on studying the relationship between galaxy clustering statistics and cosmology. This requires mock dark matter halo catalogs generated from cosmological N-body simulations. Mathematical models of galaxy occupation are then applied to produce mock galaxy catalogs. These simulated galaxies are used to develop models that connect cosmology to galaxy clustering. These models can then be used to infer cosmological parameters from observed galaxy clustering.

I am also interested in studying halo assembly bias. Halo assembly bias is the fact, seen in simulations, that the clustering of halos of a given mass can depend on properties other than mass (particularly halo formation time and concentration). A better understanding of halo assembly bias is critical to understanding how halos form and cluster, and in understanding the connection between halos and their hosted galaxies.


Cavanaugh, C., Lamberti, J., & Salcedo, A. N. (2016, July). Modeling Growth and Competition and Relgions with Applications to Group Dynamics. Principia: The Princeton Undergraduate Mathematics Journal, (3), 15-33. Retrieved November 28, 2016, from

Salcedo, A. N., Maller, A. H., Berlind, A. A., Sinha, M., Mcbride, C. K., Behroozi, P. S., . . . Weinberg, D. H. (2018). Spatial clustering of dark matter haloes: Secondary bias, neighbour bias, and the influence of massive neighbours on halo properties. Monthly Notices of the Royal Astronomical Society, 475(4), 4411-4423. doi:10.1093/mnras/sty109

Wibking, B. D., Salcedo, A. N., Weinberg, D. H., Garrison, L. H., Ferrer, D., Tinker, J., . . . Pinto, P. (2018). Emulating galaxy clustering and galaxy-galaxy lensing into the deeply non-linear regime: Methodology, information, and forecasts. Monthly Notices of the Royal Astronomical Society, 484(1), 989-1006. doi:10.1093/mnras/sty2258

Wu, H.-Y., Weinberg, D. H., Salcedo, A. N., Wibking, B. D., & Zu, Y. (2019). Covariance matrices for galaxy cluster weak lensing: from virial regime to uncorrelated large-scale structure. Monthly Notices of the Royal Astronomical Society. doi: 10.1093/mnras/stz2617

Salcedo, A. N., Wibking, B. D., Weinberg, D. H., Wu, H.-Y., Ferrer, D., Eisenstein, D., & Pinto, P. (2019). Cosmology with Stacked Cluster Weak Lensing and Cluster-Galaxy Cross-Correlations. Monthly Notices of the Royal Astronomical Society. doi: 10.1093/mnras/stz2963


National Merit Scholarship Corporation, Bristol Myers-Squibb Corporate Award, 2011
Academic Merit Award, Lehigh University, 2011-2015
Dean's List, Lehigh University, 2011-2015
Lehigh University Eckardt Scholar, 2012-2015
C.C. Hsiung Award, Lehigh University Mathematics Department, 2015
Ohio State University Graduate Enrichment Fellowship, 2015-2016