Vrutant Mehta

PhD Candidate · Computational Astrophysics

University of Massachusetts Dartmouth

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Research Interests

My research spans a broad range of topics, from understanding the progenitors of Type Ia supernovae to developing the numerical frameworks needed to evolve stars under extreme conditions. I primarily use the FLASH hydrodynamics code to study how white dwarf stars evolve and give rise to their violent deaths, forging heavier elements in the process.

Current Positions

Education

Ph.D. in Engineering and Applied Sciences Sept. 2024 – Present
University of Massachusetts Dartmouth, North Dartmouth, MA
  • Advisor: Prof. Robert T. Fisher
M.S. in Physics Jan. 2021 – Aug. 2023
University of Massachusetts Dartmouth, North Dartmouth, MA
  • Thesis: “Simulations of Highly Neutronized Ejecta in the Supernova Remnant 3C 397”
  • Advisor: Prof. Robert T. Fisher
B.Tech. in Mechanical Engineering Aug. 2015 – May 2019
Indus University, Ahmedabad, Gujarat, India

Publications

Published & Submitted

  1. V. Mehta, V. Tiwari, R. Pakmor, D. Singh, & R. Fisher “Hydrodynamical Simulations of Helium-Ignited Binary White Dwarf Merger.” Submitted to ApJ, 2026. arXiv:2602.23414
  2. V. Mehta, J. Sullivan, R. Fisher, Y. Ohshiro, H. Yamaguchi, K. Bhargava, & S. Neopane “Hydrodynamical Simulations Reveal a Pure Deflagration Origin of the Near-Chandrasekhar Mass Supernova Remnant 3C 397.” MNRAS 532, 1087–1098, 2024. MNRASarXiv:2404.04330

In Preparation

  1. M. Jones, V. Mehta, R. Fisher, & A. Bobrick “Simulations of Oxygen-Neon and Carbon-Oxygen White Dwarf Mergers in the Double-Degenerate Channel of Type Ia Supernovae,” In preparation.

Presentations & Invited Talks

Honors & Awards

Research & Professional Experience

Fisher Computational Astrophysics Group, UMass DartmouthJune 2021 – Present
Graduate Research Assistant — Advisor: Prof. Robert T. Fisher
  • Performed 3D hydrodynamical simulations of helium-ignited binary white dwarf mergers using FLASH with adaptive mesh refinement, mapping merger-phase initial conditions from the moving-mesh code AREPO; developed a custom refinement strategy reducing computational cost by ~4–5×.
  • Demonstrated two distinct detonation outcomes — a double detonation (D6), in which the secondary white dwarf survives, and a quadruple detonation, in which both white dwarfs are destroyed — and computed nucleosynthetic yields for both models (first-authored paper submitted to ApJ, arXiv:2602.23414).
  • Developed 2D FLASH models of the near-Chandrasekhar mass supernova remnant 3C 397, showing that a pure deflagration best reproduces the observed neutron-rich X-ray abundances from Suzaku (published in MNRAS, 2024).
Center for Scientific Computing and Data Research (CSCDR), UMass DartmouthNov. 2023 – Present
Student Research Computing Facilitator
  • Manage workloads on the CARNiE HPC cluster and support users in optimizing and troubleshooting their codes.
  • Install libraries, create versioned modules, and maintain documentation and wiki pages.
  • Provide onboarding demos (SSH, Slurm, Open OnDemand) for new HPC users.

Teaching Experience

Department of Physics, UMass DartmouthJan. 2021 – Aug. 2023
Teaching Fellow
  • Prepared and delivered lectures for introductory physics classes of 55+ students.
  • Designed midterm and final exams, homework sets, and quizzes.
Department of Physics, UMass DartmouthJune 2021 – Aug. 2023
Teaching Assistant
  • Conducted entry-level physics laboratories for undergraduate students.
  • Managed lab equipment, graded assignments, and maintained grade records.

Technical Skills

Programming
Python · Fortran · MATLAB · Linux shell scripting · Slurm
HPC Systems
CARNiE (CSCDR, UMass Dartmouth) · Stampede3 (TACC, UT Austin) · Unity (MGHPCC, UMass Amherst)
Astrophysics Codes
Libraries
Matplotlib · yt · MPI4py · Pandas · NumPy · h5py · SciPy · Astropy · pynucastro
Tools & Software
Open OnDemand · Slurm Workload Manager · LaTeX · Git · AutoCAD · SolidWorks

Selected Coursework

Stellar AstrophysicsHigh-Energy AstrophysicsStatistical ThermodynamicsComputational PhysicsRelativity, Black Holes & GravityQuantum Mechanics I & IIAdvanced Numerical Methods for PDEsHigh-Performance Scientific ComputingAdvanced Linear AlgebraScientific Machine Learning

References

Contact details available in the PDF or on request.