Award Abstract # 2114582
Collaborative Research: Frameworks: The Einstein Toolkit Ecosystem: Enabling fundamental research in the era of multi-messenger astrophysics

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: UNIVERSITY OF TEXAS AT AUSTIN
Initial Amendment Date: February 2, 2021
Latest Amendment Date: February 2, 2021
Award Number: 2114582
Award Instrument: Standard Grant
Program Manager: Varun Chandola
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2020
End Date: August 31, 2024 (Estimated)
Total Intended Award Amount: $414,003.00
Total Awarded Amount to Date: $414,003.00
Funds Obligated to Date: FY 2020 = $414,003.00
History of Investigator:
  • Pablo Laguna (Principal Investigator)
    pablo.laguna@austin.utexas.edu
Recipient Sponsored Research Office: University of Texas at Austin
110 INNER CAMPUS DR
AUSTIN
TX  US  78712-1139
(512)471-6424
Sponsor Congressional District: 25
Primary Place of Performance: University of Texas at Austin
3925 W Braker Lane
Austin
TX  US  78759-5316
Primary Place of Performance
Congressional District:
37
Unique Entity Identifier (UEI): V6AFQPN18437
Parent UEI:
NSF Program(s): WoU-Windows on the Universe: T,
Software Institutes
Primary Program Source: 01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 069Z, 077Z, 7569, 7925
Program Element Code(s): 107Y00, 800400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

A team of experts from five institutions (University of Illinois Urbana-Champaign, Georgia Institute of Technology, Rochester Institute of Technology, Louisiana State University, and West Virginia University) are collaborating on further development of the Einstein Toolkit, a community-driven, open-source cyberinfrastructure ecosystem providing computational tools supporting research in computational astrophysics, gravitational physics, and fundamental science. The new tools address current and future challenges in gravitational wave source modeling, improve the scalability of the code base, and support an expanded science and user community around the Einstein Toolkit.

The Einstein Toolkit is a community-driven suite of research-grade Python codes for performing astrophysics and gravitational wave calculations. The code is open-source, accessible via Conda (an open source package management system) and represents a long-term investment by NSF in providing such computational infrastructure. The software is designed to simulate compact binary stars as sources of gravitational waves. This project focuses on the sustainability of the Einstein Toolkit; specific research efforts center around the development of three new software capabilities for the toolkit:
? CarpetX -- a new mesh refinement driver and interface between AMReX, a software framework containing the functionality to write massively parallel block-structured adaptive mesh refinement (AMR) code, and Cactus, a framework for building a variety of computing applications in science and engineering;
? NRPy+ -- a user-friendly code generator based on Python; and
? Canuda -- a new physics library to probe fundamental physics.
Integration of graphics processing units (GPUs) will incorporate modern heterogeneous computing devices into the system and will enhance the capability of the toolkit. The end product is sustainable through integration into the Einstein Toolkit, yet also includes an active community maintaining and enhancing the foundational components. Broader impacts are enhanced through training, documentation and a support infrastructure that reduces the barrier to adoption by the community. The team is also creating a science portal with additional educational and showcase resources.

This award by the Office of Advanced Cyberinfrastructure is jointly supported by the National Science Foundation's Big Idea activities in Windows on the Universe (WoU).

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Higginbotham, Kenny and Khamesra, Bhavesh and McInerney, James P. and Jani, Karan and Shoemaker, Deirdre M. and Laguna, Pablo "Coping with spurious radiation in binary black hole simulations" Physical Review D , v.100 , 2019 https://doi.org/10.1103/PhysRevD.100.081501 Citation Details
Khamesra, Bhavesh and Gracia-Linares, Miguel and Laguna, Pablo "Black holeneutron star binary mergers: the imprint of tidal deformations and debris" Classical and Quantum Gravity , v.38 , 2021 https://doi.org/10.1088/1361-6382/ac1a66 Citation Details
Leong, Samson H. W. and Calderón Bustillo, Juan and Gracia-Linares, Miguel and Laguna, Pablo "Detectability of dense-environment effects on black-hole mergers: The scalar field case, higher-order ringdown modes, and parameter biases" Physical Review D , v.108 , 2023 https://doi.org/10.1103/PhysRevD.108.124079 Citation Details
Li, Shengkai and Gynai, Hussain N and Tarr, Steven W and Alicea-Muñoz, Emily and Laguna, Pablo and Li, Gongjie and Goldman, Daniel I "A robophysical model of spacetime dynamics" Scientific Reports , v.13 , 2023 https://doi.org/10.1038/s41598-023-46718-4 Citation Details
Zhang, Yu-Peng and Gracia-Linares, Miguel and Laguna, Pablo and Shoemaker, Deirdre and Liu, Yu-Xiao "Gravitational recoil from binary black hole mergers in scalar field clouds" Physical Review D , v.107 , 2023 https://doi.org/10.1103/PhysRevD.107.044039 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The Einstein Toolkit is an open-source numerical relativity framework that provides complete production codes that anyone can use to model astrophysical systems governed by Einstein’s General Theory of Relativity. The Einstein Toolkit is primarily used to simulate sources of gravitational radiation (Black holes and neutron stars) to assist with the gravitational wave observations by LIGO-Virgo_Kagra.

The effort at The University of Texas at Austin focused on developing modules to enhance the capabilities of the Einstein Toolkit to consider alternatives to General Relativity. The goal was to develop new initial data and evolution modules that provide observables such as gravitational waves, recoil, and apparent horizons. The other goal of the effort was numerically simulating mixed compact object binaries (neutron star – black hole collisions) and binary black hole mergers in scalar field environments. 

The Einstein Toolkit collaboration organized summer schools to allow students from institutions that do not typically offer courses in numerical relativity to learn about numerical relativity and network with fellow researchers in a welcoming, low-key environment. The collaboration has enabled the training of future scientists in various computational and scientific skills related to large-scale numerical simulations.

The Einstein Toolkit has played a valuable role in training many undergraduate students, graduate students, and postdoctoral researchers. It has formed the core of numerous undergraduate and graduate theses, Ph.D. dissertations, and published work. Multiple postdocs and graduate students were involved in research activities related to the Einstein Toolkit. They received training in underlying physics, astrophysics, and computational and software engineering methods. 

 


Last Modified: 01/13/2025
Modified by: Pablo Laguna

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