EmuPBkΒΆ

https://badge.fury.io/py/EmuPBk.png https://readthedocs.org/projects/emupbk/badge/?version=latest

The Epoch of Reionization(EoR) is the one of the least known and yet important period in the history of Universe. It is supposed, that the first structures were formed during this era. The 21-cm Powerspectrum and Bispectrum statistics puts great possibility to probe the EoR. So, we have developed two different ANN based emulators for each statistics. The 21-cm Powerspectrum and Bispectrum emulator are based on Supervised machine learning (Artificial Neural Network). This module contains some already existing ANN models are trained over 1000 such simulated Powerspectrum and Bispectrum for given 3 main parameters of EoR(Nion,Rmfp,Mhmin)- The ionizing efficiency, Mean free path of ionizing photons(The size of the ionized region) & Minimum halo mass of the ionizing region. And also, one can make their own models according to their datasets. We used semi-numarical simulation ReionYuga to build the data-sets for training and testing of Artificial Neural Network(ANN). To build the ANN model, we have used tensorflow-keras, a python based deeplearning library.