forked from IPKM/nmreval
increase precision in log-gaussian integration
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@ -105,8 +105,16 @@ def _integrate_susc_c(lowfunc, highfunc, omega, tau, sigma):
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c = (ctypes.c_double * 3)(o, t, sigma)
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c = (ctypes.c_double * 3)(o, t, sigma)
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user_data = ctypes.cast(ctypes.pointer(c), ctypes.c_void_p)
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user_data = ctypes.cast(ctypes.pointer(c), ctypes.c_void_p)
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area = quad(LowLevelCallable(highfunc, user_data), 0, np.infty, epsabs=1e-12, epsrel=1e-12)[0]
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area = 0
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area += quad(LowLevelCallable(lowfunc, user_data), -np.infty, 0, epsabs=1e-12, epsrel=1e-12)[0]
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for (func, limits) in [(highfunc, (0, np.inf)), (lowfunc, (-np.infty, 0))]:
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epsabs = 1e-12
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while epsabs > 1e-25:
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a = quad(LowLevelCallable(func, user_data), *limits, epsabs=epsabs, epsrel=1e-12, full_output=1)
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if a[2]['last'] > 2 or a[0] < 1e-48:
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break
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epsabs /= 10.
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area += a[0]
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res.append(area)
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res.append(area)
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