from EXOSIMS.Prototypes.SimulatedUniverse import SimulatedUniverse
import numpy as np
import astropy.units as u
class DulzPlavchanUniverseEarthsOnly(SimulatedUniverse):
"""Simulated Universe module based on Dulz and Plavchan occurrence rates.
"""
def __init__(self, **specs):
SimulatedUniverse.__init__(self, **specs)
def gen_physical_properties(self, **specs):
"""Generating universe based on Dulz and Plavchan occurrence rate tables.
"""
PPop = self.PlanetPopulation
TL = self.TargetList
# treat eta as the rate parameter of a Poisson distribution
targetSystems = np.random.poisson(lam=PPop.eta, size=TL.nStars)
plan2star = []
for j, n in enumerate(targetSystems):
plan2star = np.hstack((plan2star, [j] * n))
a, e, p, Rp = PPop.gen_plan_params(len(plan2star))
#filter to just Earth candidates
#modify as needed NB: a has no yet been scaled by \sqrt{L}
#so effectively everything is at 1 solar luminosity
inds = (a < 1.67*u.AU) & (a > 0.95*u.AU) & (Rp < 1.4*u.R_earth ) & (Rp >0.8/np.sqrt(a.value)*u.R_earth)
self.a = a[inds]
self.e = e[inds]
self.p = p[inds]
self.Rp = Rp[inds]
plan2star = plan2star[inds]
self.plan2star = plan2star.astype(int)
self.sInds = np.unique(self.plan2star)
self.nPlans = len(self.plan2star)
if PPop.scaleOrbits:
self.a *= np.sqrt(TL.L[self.plan2star])
# sample all of the orbital and physical parameters
self.I, self.O, self.w = PPop.gen_angles(self.nPlans)
self.gen_M0() # initial mean anomaly
self.Mp = PPop.MfromRp(self.Rp) # mass
