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| author | Aaron LI <aly@aaronly.me> | 2017-08-01 09:45:43 +0800 |
|---|---|---|
| committer | Aaron LI <aly@aaronly.me> | 2017-08-01 09:45:43 +0800 |
| commit | 77b5fb23539ee8d3c244335d17dd6b1baeda8950 (patch) | |
| tree | c6b6a9c201d1eea61d0e12a322456db426e15af8 /fg21sim/extragalactic/clusters | |
| parent | cf0732585dac122c4a45649b240efadedf782181 (diff) | |
| download | fg21sim-77b5fb23539ee8d3c244335d17dd6b1baeda8950.tar.bz2 | |
clusters/emission.py: Fix bug in "F()"
Signed-off-by: Aaron LI <aly@aaronly.me>
Diffstat (limited to 'fg21sim/extragalactic/clusters')
| -rw-r--r-- | fg21sim/extragalactic/clusters/emission.py | 27 |
1 files changed, 14 insertions, 13 deletions
diff --git a/fg21sim/extragalactic/clusters/emission.py b/fg21sim/extragalactic/clusters/emission.py index 99f8a22..9d668f7 100644 --- a/fg21sim/extragalactic/clusters/emission.py +++ b/fg21sim/extragalactic/clusters/emission.py @@ -48,6 +48,14 @@ class SynchrotronEmission: The assumed uniform magnetic field within the cluster ICM. Unit: [uG] """ + # The lower and upper cuts for the kernel function ``F(x)``. + Fxmin = 1e-5 + Fxmax = 20.0 + # Number of samples within [Fxmin, Fxmax] to do interpolation + # for the kernel function. + # NOTE: The kernel function is quiet smooth and slow-varying. + Fsamples = 128 + def __init__(self, gamma, n_e, B): self.gamma = np.asarray(gamma) self.n_e = np.asarray(n_e) @@ -120,24 +128,17 @@ class SynchrotronEmission: Calculated kernel function values. """ if not hasattr(self, "_F_interp"): - # Interpolate the kernel function and cache the results - # - # The lower and upper cuts - xmin = 1e-5 - xmax = 20.0 - # Number of samples within [xmin, xmax] - # NOTE: this kernel function is quiet smooth and slow-varying. - nsamples = 128 - # Make an interpolation - xx = np.logspace(np.log10(xmin), np.log10(xmax), num=nsamples) + # Make an interpolation and cache + xx = np.logspace(np.log10(self.Fxmin), np.log10(self.Fxmax), + num=self.Fsamples) Fxx = [xp * integrate.quad(lambda t: scipy.special.kv(5/3, t), a=xp, b=np.inf)[0] for xp in xx] self._F_interp = interpolate.interp1d(xx, Fxx, kind="quadratic") - x = np.array(x) # Make a copy! - x[x < xmin] = xmin - x[x > xmax] = xmax + x = np.array(x) # Make a copy as it will be modified below! + x[x < self.Fxmin] = self.Fxmin + x[x > self.Fxmax] = self.Fxmax y = self._F_interp(x) return y |