From bc2818f0538471c87d91a54b3ce8463871a243be Mon Sep 17 00:00:00 2001
From: Daniel Williams <daniel.williams@ligo.org>
Date: Tue, 16 Jul 2019 11:42:12 +0100
Subject: [PATCH] Added the ET noise curve.
---
gravpy/data/et-d-curve.txt | 3000 ++++++++++++++++++++++++++++++++++++
gravpy/interferometers.py | 78 +
2 files changed, 3078 insertions(+)
create mode 100644 gravpy/data/et-d-curve.txt
diff --git a/gravpy/data/et-d-curve.txt b/gravpy/data/et-d-curve.txt
new file mode 100644
index 0000000..8595ee3
--- /dev/null
+++ b/gravpy/data/et-d-curve.txt
@@ -0,0 +1,3000 @@
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+ 9.9693357e+03 2.7128723e-20 5.4060172e-24 5.4060171e-24
+ 1.0000000e+04 2.7404325e-20 5.4232615e-24 5.4232613e-24
diff --git a/gravpy/interferometers.py b/gravpy/interferometers.py
index 8cda006..37af444 100644
--- a/gravpy/interferometers.py
+++ b/gravpy/interferometers.py
@@ -390,6 +390,84 @@ class AdvancedLIGO(Interferometer):
def noise_spectrum(self, x):
return (x)**(-4.14) -5*x**(-2) + ((111 * (1-x**2 +0.5*x**4))/(1+0.5*x**2))
+
+class EinsteinTelescope(Interferometer):
+ """
+ The Einstein Telescope.
+ """
+ name = "Einstein Telescope"
+ f0 = 1.0 * u.hertz
+
+ frequency_range = [f0, 1e4*u.hertz]
+
+ frequencies = np.logspace(0, 4, 4000) * u.hertz
+
+ configurations = {
+ "ET-D-Sum": "data/et-d-curve.txt",
+ }
+
+ def __init__(self, frequencies=None, configuration="ET-D-Sum", obs_time=None):
+ """
+ Create a new Einstein Telescope object.
+ By default the ET-D configuration is used, and the PSD is the sum of the two interferometers' sensitivity curves.
+ """
+
+ if frequencies: self.frequencies = frequencies
+ self.configuration = configuration
+ self.obs_time = obs_time
+
+ if configuration:
+ self.name = "{} [{}]".format(self.name, configuration)
+
+
+ def psd(self, frequencies=None):
+ """
+ Calculate the one-sided power spectral desnity for a detector.
+ If a particular configuration is specified then the results will be
+ returned for a spline fit to that configuration's curve, if available.
+
+ Parameters
+ ----------
+ frequencies : ndarray
+ An array of frequencies where the PSD should be evaluated.
+
+ configuration : str
+ The configuration of the detector for which the curve should be returned.
+ """
+ if not frequencies: frequencies = self.frequencies
+
+
+ # The ET curves are all given as PSDs
+ if self.configuration:
+ configuration = self.configuration
+ datafile = self.configurations[configuration]
+ data = np.genfromtxt(os.path.join(os.path.dirname(__file__), datafile))
+
+ d_frequencies = data[:,0]
+
+ # This would almost definitely be better handled by splitting these curves into their own files.
+ if self.configuration == "ET-D-Sum":
+ col = 3
+
+ d_sensitivity = data[:,col]
+
+ tck = interpolate.splrep(d_frequencies, d_sensitivity, s=0)
+ interp_sensitivity = interpolate.splev(frequencies, tck, der=0)
+ interp_sensitivity[frequencies<self.fs]=np.nan
+ return (interp_sensitivity)**2 * u.hertz**-1
+
+
+ x = frequencies / self.f0
+ xs = self.fs / self.f0
+ sh = self.noise_spectrum(x)
+
+ if self.obs_time:
+ sh /= (self.obs_time.to(u.second))
+
+ sh[frequencies<self.fs]=np.nan
+ return sh * self.S0
+# Make a little shim so you can call EinsteinTelscope as ET
+ET = EinsteinTelescope
class GEO(Interferometer):
"""
--
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