Added new code to produce distributions. Versiojn bump to 1.0.0git st…

…atus!
transientlunatic · Sep 14, 2016 · 0989bcb · 0989bcb
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diff --git a/HISTORY.rst b/HISTORY.rst
@@ -2,6 +2,15 @@
 History
 =======
 
+1.0.0 (2016-09-14)
+------------------
+The Anniversary Update.
+
+* ER10 and O2 Readiness
+* Fully capable of producing supernova injections
+* Fully capable of producing lalsimulation-burst waveforms
+* Extensible interface for parameter distributions
+
 0.1.0 (2016-3-14)
 ------------------
 

diff --git a/README.rst b/README.rst
@@ -31,7 +31,7 @@ Features
 * Produces numerical relativity burst MDCs for supernovae
 * Produces GWF frame files for MDCs
 * Produces GravEn-format log files for MDCs
-* TODO Produces SimBurstTable XML files for MDCs
+* Produces SimBurstTable XML files for MDCs
 
 
 Credits

diff --git a/minke/__init__.py b/minke/__init__.py
@@ -2,4 +2,4 @@
 
 __author__ = 'Daniel Williams'
 __email__ = '[email protected]'
-__version__ = '0.1.0'
+__version__ = '1.0.0'
diff --git a/minke/distribution.py b/minke/distribution.py
@@ -158,8 +158,11 @@ def burst_dist(minimum, maximum):
     as desired by the Burst group for observing MDCs
     """
     #extent = numpy.log10(maximum) - numpy.log10(minimum)
-    a = minimum**2 / (minimum**2 + 50)**2
-    b = maximum**2 / (maximum**2 + 50)**2
+    # Convert hrss to distance
+    minimum, maximum = 1/minimum, 1/maximum
+    #Set-up the distributions limits
+    a = (minimum + 50.0/minimum)**2
+    b = (maximum + 50.0/maximum)**2
     rnd = numpy.random.uniform(a,b)
-    #print numpy.sqrt(1.0/rnd)
-    return numpy.sqrt(1.0/rnd)
+    # Convert back to an hrss
+    return 1.0/numpy.sqrt(rnd)
diff --git a/setup.py b/setup.py
@@ -28,7 +28,7 @@
 
 setup(
     name='minke',
-    version='0.1.0',
+    version='1.0.0',
     description="Minke is a Python package to produce Mock Data Challenge data sets for LIGO interferometers.",
     long_description=readme + '\n\n' + history,
     author="Daniel Williams",
@@ -45,8 +45,8 @@
     zip_safe=False,
     keywords='minke',
     classifiers=[
-        'Development Status :: 2 - Pre-Alpha',
-        'Intended Audience :: Developers',
+        'Development Status :: 4 - Beta',
+        'Intended Audience :: Science/Research',
         'License :: OSI Approved :: ISC License (ISCL)',
         'Natural Language :: English',
         "Programming Language :: Python :: 2",