I have the following piece of code where I try to compute the triple integral.
wzeq = 2.5021
Omeg = 1.5
GG = 2.1
alpha = 3.9478
sigma = Sqrt[0.3]
nu = Sqrt[sigma^2 Abs[Omeg^2 - 0.25 GG^2]]
sigmaR = Sqrt[0.1]
A0 = 0.0032
mu = -sigmaR^2/2
h0 = 0.001
NIntegrate[z/(h0^2 x^2 Sqrt[Log[A0 x/h0]]) Exp[-wzeq^2/(4 sigma^2) Log[
A0 x/h0] - 1/2 ((Log[x] + sigmaR^2/2)/sigmaR)^2] Exp[-1/(2 alpha) (y/(sigmaR x))^2 - wzeq^2 (z/h0 - y/x)^2/(16 nu^2 Log[A0 x/h0])], {z, 0, ,Infinity}, {x, h0/A0, h0/A0, Infinity}, {y, -Infinity, Infinity}]
However, I keep getting warning messages.
NIntegrate::slwcon: Numerical integration converging too slowly; suspect one of the following: singularity, value of the integration is 0, highly oscillatory integrand, or WorkingPrecision too small.
NIntegrate::eincr: The global error of the strategy GlobalAdaptive has increased more than 2000 times. The global error is expected to decrease monotonically after a number of integrand evaluations. Suspect one of the following: the working precision is insufficient for the specified precision goal; the integrand is highly oscillatory or it is not a (piecewise) smooth function; or the true value of the integral is 0. Increasing the value of the GlobalAdaptive option MaxErrorIncreases might lead to a convergent numerical integration. NIntegrate obtained 0.011684038916126538
and 2.9472154143362325
*^-8 for the integral and error estimates.
Is there a way to fix this issue as I suspect that the value of the integral is not correct.
MinRecursion -> 20, MaxRecursion -> 100, PrecisionGoal -> 8, Method -> {"GlobalAdaptive", "MaxErrorIncreases" -> 20000}
. $\endgroup$