IPAM's Long Term Program: Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy

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Feb 7, 2021, 5:28:58 AM2/7/21
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Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy

Institute for Pure and Applied Mathematics, UCLA, Los Angeles (USA) 
September 13 - December 17, 2021

The Institute for Pure and Applied Mathematics (IPAM) organizes a fourteen-week-long 
program to discuss Mathematical and Computational Challenges in the Era of Gravitational 
Wave Astronomy. The program will connect efforts of the mathematical and physical 
sciences communities to address new challenges on the understanding of multi-messenger 
astronomy. This long program will involve senior and junior researchers from several 
communities relevant to the program. 

Long Program Schedule:

- Opening Day. September 13, 2021.
- Mathematical and Computational Challenges in the Era ofGravitational Wave Astronomy 
Tutorial. September 14-21, 2021.
- Workshop I: Computational Challenges in Multi-MessengerAstrophysics. October 4-8, 2021.
- Workshop II: Mathematical and Numerical Aspects of Gravitation. October 25-29, 2021. 
- Workshop III: Source Inference and Parameter Estimation inGravitational Wave Astronomy. 
November 15-19, 2021.
- Workshop IV: Big Data in Multi-Messenger Astrophysics. November 29 - December 3, 2021. 
- Culminating Workshop at Lake Arrowhead. December 12-17, 2021.

Interested contributors may apply for financial support to participate in the entire fourteen-week 
program, or a portion of it. Applications will be accepted through May 31, 2021. Mathematicians 
and scientists at all levels who are interested in this area of research are encouraged to apply 
for funding. Supporting the careers of women and minority researchers is an important component 
of IPAM’s mission and their applications are particularly welcomed.  

For more information, please visit the program webpage: www.ipam.ucla.edu/gwa2021

IPAM contact: ip...@ucla.edu


Organizing Committee:

Manuela Campanelli (Rochester Institute of Technology)
Marco Cavaglia (Missouri University of Science and Technology)
Jose Antonio Font (University of Valencia)
Igor Rodnianski (Princeton University)
Susana Serna (Universitat Autònoma de Barcelona, Mathematics)
Gunther Uhlmann (University of Washington, Mathematics) 








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