
Erfan Nourbakhsh

Erfan Nourbakhsh
I am a Postdoctoral Research Associate at Princeton University in the Department of Astrophysical Sciences. As part of the Rubin Observatory Science Pipelines Team, I develop algorithms that turn raw images into science-ready data products for the Legacy Survey of Space and Time (LSST). I spend much of my time on Data Release Production and image/object characterization. More specifically, I am interested in instrument signature removal, PSF and shape measurement, and developing tools for data and pipeline visualization. I also contribute to Rubin Science Platform services and, more recently, have become involved in Solar System Processing (HelioLinC production) within the Alert Production team.
Before joining Princeton in 2022, I did my PhD in physics at the University of California, Davis, under the supervision of Professor Tony Tyson. I am a member of the LSST Dark Energy Science Collaboration (DESC), for which I study the effects of galaxy photometry in crowded fields on deep imaging probes of cosmology and photometric redshift (photo-$z$) estimation.
I began my research journey in astrophysical fluid dynamics before turning to observational extragalactic astronomy with the Sloan Digital Sky Survey (SDSS). During my PhD, I focused on understanding how systematic effects, such as galaxy blending and photo-$z$ uncertainties, propagate through cosmological inference. I used galaxy clustering and weak gravitational lensing as probes of cosmology in anticipation of LSST and other next-generation imaging surveys. More recently, I have been investigating the impact of low-Earth orbit satellite constellations, such as SpaceX’s Starlink, on astronomical imaging and the implications for scientific results derived from the impacted data.
Given the scale and complexity of astronomical data and its analysis, I often rely on high-performance computing. My work has been supported by storage and computing allocations from NERSC (Cori, Edison), IN2P3 Computing Centre, HPC@UC (SDSC Comet), National Science Foundation XSEDE/ACCESS (SDSC Comet, Expanse), and Princeton Research Computing Systems (Tiger, Della, Stellar).