Fast Methods for Cosmological Simulations
FastSim serves as a tool for quick N-body simulations in modified gravity.
growth_paper.py File Reference

Go to the source code of this file.

Namespaces

 growth_paper
 

Variables

float growth_paper.TCMB = 2.725
 
 growth_paper.z_arr = np.logspace(-2, 3, 10, endpoint=True)
 
dictionary growth_paper.cpar_model1 = {'om': 0.3,'ol': 0.7 ,'ob':0.05,'hh': 0.7,'s8': 0.8,'ns': 0.96,'w0': -1.0, 'wa': 0.0}
 
dictionary growth_paper.cpar_model2 = {'om': 0.3,'ol': 0.7 ,'ob':0.05,'hh': 0.7,'s8': 0.8,'ns': 0.96,'w0': -0.9, 'wa': 0.0}
 
dictionary growth_paper.cpar_model3 = {'om': 0.3,'ol': 0.7 ,'ob':0.05,'hh': 0.7,'s8': 0.8,'ns': 0.96,'w0': -0.9, 'wa': 0.1}
 
dictionary growth_paper.cpar_model4 = {'om': 0.3,'ol': 0.75,'ob':0.05,'hh': 0.7,'s8': 0.8,'ns': 0.96,'w0': -0.9, 'wa': 0.1}
 
dictionary growth_paper.cpar_model5 = {'om': 0.3,'ol': 0.65,'ob':0.05,'hh': 0.7,'s8': 0.8,'ns': 0.96,'w0': -0.9, 'wa': 0.1}
 
 growth_paper.growth_factor = np.zeros((5+1, len(z_arr)))
 
 growth_paper.pcs = csm.PcsPar()
 
int growth_paper.a_arr = 1
 
 growth_paper.gf_arr = np.array([pcs.growth_factor(a) for a in a_arr])
 
 growth_paper.T
 
 growth_paper.header