Dr. Shivangee Rathi

About me.

My name is Shivangee. I graduated with a PhD in astronomy in September 2021, which is very recent. During my PhD, I gained several valuable skills, such as becoming proficient in (python) programming, applying novel image processing techniques to astronomical data and creating lots and lots of insightful data visualizations, to name a few. Now, I am looking for opportunities where I can apply and further develop my acquired data-science and programming skills to challenging problems. I am open-minded and learn new things quickly. I am a team player and dedicate all my skills and talents to develop high-quality and unique solutions. When I am not working, I like to read, indulge in new recipes or learn a new tune on ukelele.

Research

I am working on the stellar populations of dwarf galaxies in order to gain insights into their evolution history.

"Observations" of simulated dwarf galaxies

Several apparent mismatches are known to exist between the observed and simulated dwarf galaxies, such as the missing dwarfs problem, the too-big-to-fail problem and the cusp-core problem. Some of these issues are shown to be at least partially addressed by considering the systematic differences while comparing simulations with observations. Therefore it is important to figure out and eliminate possible systematic differences between the two, to ensure that the differences are solely due to the disagreement between theory and observations and are not because of the artefacts introduced by the analysis. We do so by applying the techniques observers use to analyze observational data to the analysis of simulations.

Color-gradients in early type dwarf galaxies

Although they are the commonest galaxy types in the local Universe, the origin and evolution of dEs are not yet well understood. We study a large sample of dEs in the Fornax cluster by analzying their imaging data using our semi-automatic surface photometry pipeline and derive photometric quantities to make inferences about their underlying stellar population.