Present: PhD Fellow, Astrophysics and Cosmology, SISSA, Italy.
2014-16: Masters in Physics, SB College, Mahatma Gandhi University, India.
2010-13: Bachelors in Physics, SB College, Mahatma Gandhi University, India.
2017-18: Junior Research Fellow, Presidency University, India.
2016-17: Project student, Centre for Theoretical Physics, JMI, India.
Rudrani Kar Chowdhury, Suchetana Chatterjee, Anto I Lonappan, Nishikanta Khandai, Tiziana DiMatteo:Cosmological simulations of galaxy groups and clusters - I: Global effect of feedback from Active Galactic Nuclei;ApJ 889-1,60; arXiv:1911.07824
Anto. I. Lonappan, Sumit Kumar, Ruchika, Bikash R. Dinda, Anjan A Se:
Bayesian Evidences for Dark Energy models in light of current observational data;
Phy Rev D 97, 043524;arXiv:1707.00603
Anto I Lonappan, Ruchika, Anjan A Sen: Is it time to go beyond ΛCDM universe?.
COSMOPASS:It can be used to calculate the different Cosmological models, which includes different Dark Energy Parameterisation,
scalar fields such as minimally coupled quintessence, tachyon and galileon fields. It can be easily integrated with emcee and
ABE-I : ABE-I is written for studying the co-evolution of the supermassive black holes with its host galaxies, particularly
looking at the effect of AGN feedback. It uses Massive Black-Hole II simulation snapshots based on GADGET 3 to explore SBHs and
its environment. Single redshift snapshot of this simulation is of size 1 TB. The python scripts implemented with Message Passing
Interface help to handle the big data of MB II simulation snapshots. [wiki]
Evidence-Plotter : Bayesian statistics plays an important role in data analysis. Particularly in the case of model comparison,
Bayesian evidence and Bayes factor determination are well-known methods. This python module can plot 2D plots, with the x-axis as models
and y-axis as log evidence.For determining log evidence you can use pymultinest or nestle.
Introduction to Message Passing Interface (MPI) in Python