Open mhooton opened 3 years ago
Some of the values in the light curve are nans when evaluating the following:
from pytransit import GravityDarkenedModel rstar = 1.661671 k = [0.08381965] rho = 0.375759167 rperiod = 0.236134363449647 tpole = 7650 phi = 1.3339553017948966 beta = 0.25 ldc = [0.5739341461489451, 0.1268867674944764] t0 = 0 p = 1.76358769 a = 3.9532587719177115 i = 1.5111688037790845 l = 0.682913618 e = 0 w = np.pi/4 tmo = GravityDarkenedModel(rstar=rstar,sres=100, pres=8,filters=600,model='blackbody',tmax=10500) t = np.linspace(-2./24,+2./24,1000) tmo.set_data(t) lc = tmo.evaluate_ps(k, rho, rperiod, tpole, phi, beta, ldc, t0, p, a, i, l, e, w)
The first instance of a nan appearing seems to be when calculate_luminosity_interpolation_table is executed inside oblate_model_s
Some of the values in the light curve are nans when evaluating the following:
from pytransit import GravityDarkenedModel rstar = 1.661671 k = [0.08381965] rho = 0.375759167 rperiod = 0.236134363449647 tpole = 7650 phi = 1.3339553017948966 beta = 0.25 ldc = [0.5739341461489451, 0.1268867674944764] t0 = 0 p = 1.76358769 a = 3.9532587719177115 i = 1.5111688037790845 l = 0.682913618 e = 0 w = np.pi/4 tmo = GravityDarkenedModel(rstar=rstar,sres=100, pres=8,filters=600,model='blackbody',tmax=10500) t = np.linspace(-2./24,+2./24,1000) tmo.set_data(t) lc = tmo.evaluate_ps(k, rho, rperiod, tpole, phi, beta, ldc, t0, p, a, i, l, e, w)
The first instance of a nan appearing seems to be when calculate_luminosity_interpolation_table is executed inside oblate_model_s