Manos Chatzopoulos

Associate Professor Louisiana State University

  • Baton Rouge LA

Dr. Chatzopoulos is a computational astrophysicist specializing in large-scale simulations of supernovae and the evolution of massive stars.

Contact

Louisiana State University

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Areas of Expertise

Astrophysics
Computational Astrophysics
Supernovae
Massive Stars
Transients
Parking

Research Focus

Theoretical & Computational Astrophysics

Dr. Chatzopoulos’s research focuses on theoretical and computational astrophysics—massive-star evolution, core-collapse and superluminous supernovae, and other high-energy transients. He leverages stellar-evolution codes, hydrodynamic and radiative-transfer simulations, and multi-messenger observations to decode explosion mechanisms and chart how these events forge the universe’s heavy elements.

Accomplishments

LSU Rainmaker Award

2022

Baton Rouge Entrepreneurship Work (BREW) Champion

2022

U.S. D.O.E. Early Career Award

2020

Education

The University of Texas at Austin

Ph.D.

Astronomy and Astrophysics

2013

The University of Texas at Austin

M.A.

Astronomy

2010

University of Crete

B.S.

Physics

2007

Affiliations

  • American Astronomical Society (AAS)
  • Hellenic Astronomica Society (HelAS)

Media Appearances

An LSU astrophysics professor invented a tool to find parking. It just sold in a major deal.

NOLA  online

2025-04-28

“This is a huge opportunity for us," ParkZen co-founder Manos Chatzopoulos said Tuesday by phone while attending an industry trade show. "I've been getting congratulations from people in the industry all morning."

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These Louisiana venture capitalists, armed with federal money, are racing to invest in startups.

NOLA  online

2024-09-12

LSU astrophysicist Manos Chatzopoulos just wanted a place to park.

A decade ago, as a postdoctoral fellow in Chicago, he would circle his neighborhood trying to find a spot, only to have to walk several blocks home in the bitter cold.

The problem sparked an idea. In 2020, while working as an LSU professor, Chatzopoulos joined forces with an LSU computer science student and the school to create ParkZen, an app that uses crowdsourced data to help drivers find available parking spaces.

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Talking Business: Meet the astrophysicist who is working to make parking easier

The Advocate  online

2023-10-02

Manos Chatzopoulos has been called “a rising star” in the field of astrophysics, specializing in using supercomputer simulations to understand events such as supernovas and stellar evolution. But on the side, the LSU professor is using his skills in data analysis for something more down to earth — making it easier to find a place to park.

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Articles

Spectroscopic Modeling of Luminous Transients Powered by H-rich and He-rich Circumstellar Interaction

The Astrophysical Journal

2024

In this study, we perform detailed spectroscopic modeling to analyze the interaction of circumstellar material (CSM) with ejecta in both hydrogen-rich and hydrogen-poor superluminous supernovae (SLSNe), by systematically varying properties such as the CSM density, composition, and geometry to explore their effects on spectral lines and light-curve evolution. Using advanced radiative transfer simulations with the new, open-source SuperLite code to generate synthetic spectra, we identify key spectroscopic indicators of CSM characteristics. Our findings demonstrate that spectral lines of hydrogen and helium exhibit significant variations due to differences in CSM mass and composition. In hydrogen-rich Type II SLSNe, we observe pronounced hydrogen emission lines that correlate strongly with a dense, extended CSM, suggesting massive, eruptive mass-loss histories.

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Evidence for Evolved Stellar Binary Mergers in Observed B-type Blue Supergiants

The Astrophysical Journal Letters

2024

Blue supergiants are the brightest stars in their host galaxies, and yet their evolutionary status has been a long-standing problem in stellar astrophysics. In this pioneering work, we present a large sample of 59 early B-type supergiants in the Large Magellanic Cloud with newly derived stellar parameters and identify the signatures of stars born from binary mergers among them. We simulate novel 1D merger models of binaries consisting of post main-sequence giants with helium-rich cores (primaries) and main-sequence companions (secondaries), and consider the effects of interaction of the secondary with the core of the primary along with the mixing induced by the merger in the envelope.

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Betelgeuse as a Merger of a Massive Star with a Companion

The Astrophysical Journal

2024

We investigate the merger between a 16M⊙ star, on its way to becoming a red supergiant (RSG), and a 4M⊙ main-sequence companion. Our study employs three-dimensional hydrodynamic simulations using the state-of-the-art adaptive mesh refinement code O cto-T iger. The initially corotating binary undergoes interaction and mass transfer, resulting in the accumulation of mass around the companion and its subsequent loss through the second Lagrangian point (L2). The companion eventually plunges into the envelope of the primary, leading to its spin-up and subsequent merger with the helium core. We examine the internal structural properties of the post-merger star, as well as the merger environment and the outflow driven by the merger. Our findings reveal the ejection of approximately∼ 0.6 M⊙ of material in an asymmetric and somewhat bipolar outflow.

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