Award Abstract # 1550514
SI2-SSI: Collaborative Research: Einstein Toolkit Community Integration and Data Exploration

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: UNIVERSITY OF ILLINOIS
Initial Amendment Date: July 11, 2016
Latest Amendment Date: November 16, 2020
Award Number: 1550514
Award Instrument: Continuing Grant
Program Manager: Varun Chandola
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: July 1, 2016
End Date: June 30, 2022 (Estimated)
Total Intended Award Amount: $450,000.00
Total Awarded Amount to Date: $450,000.00
Funds Obligated to Date: FY 2016 = $225,000.00
FY 2017 = $75,000.00

FY 2018 = $75,000.00

FY 2019 = $75,000.00
History of Investigator:
  • Roland Haas (Principal Investigator)
    rhaas@illinois.edu
  • Matthew Turk (Co-Principal Investigator)
  • Gabrielle Allen (Former Principal Investigator)
  • Roland Haas (Former Co-Principal Investigator)
Recipient Sponsored Research Office: University of Illinois at Urbana-Champaign
506 S WRIGHT ST
URBANA
IL  US  61801-3620
(217)333-2187
Sponsor Congressional District: 13
Primary Place of Performance: University of Illinois at Urbana-Champaign
506 S. Wright Street
Urbana
IL  US  61801-3620
Primary Place of Performance
Congressional District:
13
Unique Entity Identifier (UEI): Y8CWNJRCNN91
Parent UEI: V2PHZ2CSCH63
NSF Program(s): COMPUTATIONAL PHYSICS,
Software Institutes
Primary Program Source: 01001617DB NSF RESEARCH & RELATED ACTIVIT
01001718DB NSF RESEARCH & RELATED ACTIVIT

01001819DB NSF RESEARCH & RELATED ACTIVIT

01001920DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7433, 7569, 8009, 8084
Program Element Code(s): 724400, 800400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

A new astronomy has arrived with the recent detection of gravitational waves. Modeling of sources of gravitational radiation is more than ever a critical necessity in order to interpret the observations. The project Einstein Toolkit has as overarching mission to provide the scientific community with a sustainable software platform of core computational tools for research focused on astrophysical systems endowed with complex multi-scale/multi-physics properties which are governed by Einstein's equations of General Relativity. The central premise of the project Einstein Toolkit is to create a broad and vibrant community of users, a community where interdisciplinary collaborations are the norm and not the exception, a community driving advances in the next generation of high-performance computing cyberinfrastructure. The main objectives of the project Einstein Toolkit are: developing software tools for a radical increase in scientific productivity, achieving sustainability of the software ecosystem, addressing software engineering challenges, and the curation of data from general relativistic numerical simulations.

This project will achieve its goals through two major activity areas. Regarding the software ecosystem and its sustainability, the scheduler that handles the flow of tasks in a problem will be redesigned to be more versatile and to improve its performance. In addition new software modules will be developed to broaden the choices of initial data and matter sources, as well as modules for problems requiring a high degree of experimentation with equations and numerical methodologies. A new general relativistic magneto-hydrodynamics code will also be integrated in the Einstein Toolkit. The second activity area involves building a simulation data repository. The repository will allows user to compare results, contribute data, test innovative ideas and algorithms for gravitational wave data analysis, and to explore or discover new phenomena in sources of gravitational radiation. The broader impact effort in the project Einstein Toolkit will be organized in two major activity areas. The first involves community integration. The project will support a program of ease-of-use on-line tutorials and a workshops/tutorial series. The program will help small groups or individual investigators familiarizing with the codes and modules in the toolkit as well as pathways to become a developer. Regarding outreach and education, the project Einstein Toolkit will enable interdisciplinary training of students and postdocs in numerical relativity, computational astrophysics and computer science. The effort will includes developing a teaching resources bank for educational activities involving computational topics applied to gravitational physics and astrophysics. The educational resources will be suitable for computational courses in general relativity and astrophysics at both the graduate and undergraduate level.

This project is supported by the Division of Advanced Cyberinfrastructure in the Directorate for Computer & Information Science & Engineering and the Physics Division in the Directorate of Mathematical and Physical Sciences.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Bing-Jyun Tsao and Roland Haas and Antonios Tsokaros "Source term method for binary neutron stars initial data" Classical and Quantum Gravity , v.38 , 2021 , p.135008 10.1088/1361-6382/abfc29
Bing-Jyun Tsao and Roland Haas and Antonios Tsokaros "Source term method for binary neutron stars initial data" Classical and Quantum Gravity , v.38 , 2021 , p.135008 10.1088/1361-6382/abfc29
Chen, Zhuo and Huerta, E. A. and Adamo, Joseph and Haas, Roland and O'Shea, Eamonn and Kumar, Prayush and Moore, Chris "Observation of eccentric binary black hole mergers with second and third generation gravitational wave detector networks" Phys. Rev. D , v.103 , 2021 , p.084018 10.1103/PhysRevD.103.084018
Chen, Zhuo and Huerta, E. A. and Adamo, Joseph and Haas, Roland and O'Shea, Eamonn and Kumar, Prayush and Moore, Chris "Observation of eccentric binary black hole mergers with second and third generation gravitational wave detector networks" Phys. Rev. D , v.103 , 2021 , p.084018 10.1103/PhysRevD.103.084018
Daniel George and E.A. Huerta "Deep Learning for real-time gravitational wave detection and parameter estimation: Results with Advanced LIGO data" Physics Letters B , v.778 , 2018 , p.64-70 https://doi.org/10.1016/j.physletb.2017.12.053
Daniel Johnson and E A Huerta and Roland Haas "Python Open source Waveform ExtractoR (POWER): an open source, Python package to monitor and post-process numerical relativity simulations" Classical and Quantum Gravity , v.35 , 2017 , p.027002 10.1088/1361-6382/aa9cad
De Pietri, Roberto and Feo, Alessandra and Font, José A. and Löffler, Frank and Pasquali, Michele and Stergioulas, Nikolaos "{Numerical-relativity simulations of long-lived remnants of binary neutron star mergers}" Phys. Rev. D , v.101 , 2020 , p.064052 10.1103/PhysRevD.101.064052
De Pietri, Roberto and Feo, Alessandra and Font, Josó A. and Löffler, Frank and Pasquali, Michele and Stergioulas, Nikolaos "Numerical-relativity simulations of long-lived remnants of binary neutron star mergers" Phys. Rev. D , v.101 , 2020 , p.064052 10.1103/PhysRevD.101.064052
Dietrich, Tim and Khan, Sebastian and Dudi, Reetika and Kapadia, Shasvath J. and Kumar, Prayush and Nagar, Alessandro and Ohme, Frank and Pannarale, Francesco and Samajdar, Anuradha and Bernuzzi, Sebastiano and Carullo, Gregorio and Del Pozzo, Walter and "Matter imprints in waveform models for neutron star binaries: tidal and self-spin effects" Physical Review D , v.99 , 2019 , p.024029
Dietrich, Tim and Khan, Sebastian and Dudi, Reetika and Kapadia, Shasvath J. and Kumar, Prayush and Nagar, Alessandro and Ohme, Frank and Pannarale, Francesco and Samajdar, Anuradha and Bernuzzi, Sebastiano and Carullo, Gregorio and Del Pozzo, Walter and "Matter imprints in waveform models for neutron star binaries: Tidal and self-spin effects" Phys. Rev. D , v.99 , 2019 , p.024029 10.1103/PhysRevD.99.024029
Fedrow, J. M. and Ott, C. D. and Sperhake, U. and Blackman, J. and Haas, R. and Reisswig, C. and De Felice, A. "Gravitational Waves from Binary Black Hole Mergers Inside of Stars" submitted to Phys. Rev.Lett. , 2017 arXiv:1704.07383
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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.

This grant is part of a large collaborative effort supported by the NSF to develop of the Einstein Toolkit (einsteintoolkit.org). At the University of Illinois, the grant supported the development of a data storage and retrieval framework, DataVault, and, lead by LSU, development of a data dependent scheduler for the Einstein Toolkit. In addition, a new catalog of eccentric binary black hole data was created and distributed with support from this grant. The catalog is described in https://doi.org/10.1103/PhysRevD.100.064003 .

A research scientist and a post-graduate research assistant were supported via this grant at Illinois. In addition, this grant supported undergraduate student researchers in the SPIN program at National Center for Supercomputing Applications, and participation of students at national conferences in the US.

Each year, the Einstein Toolkit consortium holds a workshop and school for new users. At the University of Illinois, this workshop and school was held in Summer 2017 in collaboration with LSU. The workshop was held in person at National Center for Supercomputing Applications and recordings were made available on YouTube in the Einstein Toolkit YouTube channel.

Over the course of the grantthere were 9 Einstein Toolkit releases. 31 new components were integrated into the toolkit in this period, including the non-Cactus Selfforce1D code, as well as code generators and visualization and analysis codes kuibit and POWER. We maintained a regualr release cylce of two releases per year with 11 releases in 11 half-year release cycles.

A total of 169 publications resulted from research using the Einstein Toolkit, it supported more than 53 theses.


Last Modified: 11/01/2022
Modified by: Roland Haas

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