SEMPS is a python tool designed to compute the non-linear matter power spectrum for a wide range of cosmological models, and redshifts.
It is built using supervised machine learning algorithm, called gradient boosting machine (GBM). The model for SEMPS is described in details in our paper.

The salient features of SEMPS are

Download SEMPS

Dependencies

Example Python Code

Maintained by:
Janu Verma - j.verma5@gmail.com
Irshad Mohammed - irshad@physik.uzh.ch

Example
See the example.py file in SEMPS directory.

Citation
Irshad Mohammed, and Janu Verma A supervised machine learning estimator for non-linear matter power spectrum - SEMPS. arXiv:1507.04622