The longevity of numerical tools
Looking for the future of numerical simulations in high-energy astrophysics
March 12th, 2024 - Online
09:00 hrs - Oregon (PS-Time)11:00 hrs - Mexico City (CS-Time)18:00 hrs - Warsaw (CE-Time)
Rationale
Numerical simulations have been essential tools for understanding a zoo of astronomical phenomena, playing an important role in the understanding of transient events such as GRBs, Kilonovas, and supernovas. However, these tools could become obsolete due to the constant development of new technology and programming techniques. For young scientists, it is crucial to acquire a perspective on the future to focus on the study of new research techniques. This perspective would be provided by current experts in the field. The objective of this discussion panel is to present a future vision of numerical simulation in the context of transient events and how the new technologies would impact the development of new research projects.
Invited Experts
Agnieszka Janiuk (Center for Theoretical Physics, Polish Academy of Sciences)
Davide Lazzati (Department of Physics, Oregon State University, USA)
Fabio De Colle (Institute of Nuclear Sciences, National Autonomous University of Mexico)
José Antonio de Diego (Astronomy Institute, National Autonomous University of Mexico)
Moderator
Diego Lopez-Camara (Astronomy Institute, National Autonomous University of Mexico)
Organizers
Leonardo Garcia-Garcia (Astronomy Institute, National Autonomous University of Mexico)
Gerardo Urrutia (Center for Theoretical Physics, Polish Academy of Sciences)
Questions
Numerical simulations, such as MHD, GRMHD, RMHD, and RHD, play an important role in understanding transient events. However, there are still open questions that need to be addressed, these unanswered questions present research opportunities for the near future. Therefore, employing numerical simulations, what are the opportunities, challenges, and trends in the field of 'transient astronomy'?
Young career scientists interested in numerical simulations work within an environment of rapid and constant evolution. The integration of new technologies such as artificial intelligence (AI) and data science, presents significant challenges. These challenges demand technical and specialized skills, an understanding of new algorithms, and the ability to adapt quickly to change. Consequently, what challenges do future researchers face in developing numerical simulations and coupling them with new technologies?
In an era where AI, data science, and related technologies are increasingly dominant, will numerical simulations become obsolete, or the integration with new technologies promise advancements in the precision and efficiency of these simulations?