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Poojan Agrawal

Despite the progress in our computational abilities, combining detailed stellar evolution with codes for modelling clusters and galaxies still remains a challenge. A less accurate but simpler way to achieve the same is the method of defining polynomial fits to the stellar evolution tracks, SSE code developed by Hurley et al in 2000. It has been a popular choice for population synthesis codes for over two decades but the developments in stellar physics, especially for massive stars, have created a pressing need to update them. However, these formulae are not only hard to define but are also less adaptable to changes in stellar tracks. Hence, a part of my research is to evolve a number of massive stars using Modules for Experiments in Stellar Astrophysics (MESA). Second part is to develop an alternate method based on the numerical interpolation of the stellar tracks which can serve as an alternative to SSE in population synthesis codes. This is important not just from the point of view of understanding stellar properties like chemical abundances and stellar dynamics but also for constraining binary evolution which are important sources of gravitational waves.

Office   AMDC909