normalized the names of reconstruction classes

ctapipe/plotting/tests/test_array.py

@@ -3,7 +3,7 @@
 import numpy as np
 from ctapipe.utils import get_dataset
 
-from ctapipe.reco.FitGammaHillas import FitGammaHillas, GreatCircle
+from ctapipe.reco.HillasReconstructor import HillasReconstructor, GreatCircle
 from ctapipe.image.hillas import hillas_parameters, HillasParameterizationError
 from ctapipe.image.cleaning import tailcuts_clean, dilate
 

ctapipe/reco/FitGammaHillas.py → ctapipe/reco/HillasReconstructor.py

@@ -5,7 +5,7 @@
 """
 
 from ctapipe.utils import linalg
-from ctapipe.reco.reco_algorithms import RecoShowerGeomAlgorithm
+from ctapipe.reco.reco_algorithms import Reconstructor
 from ctapipe.io.containers import ReconstructedShowerContainer
 
 from astropy.utils.decorators import deprecated
@@ -20,7 +20,7 @@
 u.dimless = u.dimensionless_unscaled
 
 
-__all__ = ['FitGammaHillas',
+__all__ = ['HillasReconstructor',
            'TooFewTelescopesException',
            'dist_to_traces', 'MEst', 'GreatCircle']
 
@@ -180,7 +180,7 @@ def neg_angle_sum(origin, circles, weights):
     return -np.sum(weights * sin_ang)
 
 
-class FitGammaHillas(RecoShowerGeomAlgorithm):
+class HillasReconstructor(Reconstructor):
     '''
     class that reconstructs the direction of an atmospheric shower
     using a simple hillas parametrisation of the camera images it

ctapipe/reco/ImPACT.py

@@ -17,15 +17,14 @@
 from ctapipe.image import poisson_likelihood_gaussian
 from ctapipe.io.containers import (ReconstructedShowerContainer,
                                    ReconstructedEnergyContainer)
-from ctapipe.reco.reco_algorithms import RecoShowerGeomAlgorithm
+from ctapipe.reco.reco_algorithms import Reconstructor
 from ctapipe.reco.shower_max import ShowerMaxEstimator
 from ctapipe.utils import TableInterpolator
 from ctapipe import instrument
 
+__all__ = ['ImPACTReconstructor']
 
-__all__ = ['ImPACTFitter']
-
-class ImPACTFitter(RecoShowerGeomAlgorithm):
+class ImPACTReconstructor(Reconstructor):
     """This class is an implementation if the impact_reco Monte Carlo
     Template based image fitting method from [parsons14]_.  This method uses a
     comparision of the predicted image from a library of image

ctapipe/reco/__init__.py

@@ -1,4 +1,4 @@
 # Licensed under a 3-clause BSD style license - see LICENSE.rst
-from .FitGammaHillas import *
+from .HillasReconstructor import *
 from .reco_algorithms import *
 from .ImPACT import *

ctapipe/reco/reco_algorithms.py

@@ -1,10 +1,10 @@
 from ctapipe.core import Component
 from ctapipe.io.containers import ReconstructedShowerContainer
 
-__all__ = ['RecoShowerGeomAlgorithm']
+__all__ = ['Reconstructor']
 
 
-class RecoShowerGeomAlgorithm(Component):
+class Reconstructor(Component):
     """This is the base class from which all direction reconstruction
 algorithms should inherit from"""
 

ctapipe/reco/tests/test_FitGammaHillas.py

@@ -5,7 +5,7 @@
 
 from ctapipe.utils import get_dataset
 
-from ctapipe.reco.FitGammaHillas import FitGammaHillas, GreatCircle
+from ctapipe.reco.HillasReconstructor import HillasReconstructor, GreatCircle
 from ctapipe.image.hillas import hillas_parameters, HillasParameterizationError
 from ctapipe.image.cleaning import tailcuts_clean, dilate
 
@@ -36,7 +36,7 @@ def test_fit_core():
     circle4.trace = [0, 1, 0]
 
     # creating the fit class and setting the the great circle member
-    fit = FitGammaHillas()
+    fit = HillasReconstructor()
     fit.circles = {1: circle1, 2: circle2, 3: circle3, 4: circle4}
 
     # performing the position fit with the minimisation algorithm
@@ -79,7 +79,7 @@ def test_fit_origin():
     circle4.trace = [0, 1, 0]
 
     # creating the fit class and setting the the great circle member
-    fit = FitGammaHillas()
+    fit = HillasReconstructor()
     fit.circles = {1: circle1, 2: circle2, 3: circle3, 4: circle4}
 
     # performing the direction fit with the minimisation algorithm
@@ -111,7 +111,7 @@ def test_FitGammaHillas():
 
     filename = get_dataset("gamma_test.simtel.gz")
 
-    fit = FitGammaHillas()
+    fit = HillasReconstructor()
 
     cam_geom = {}
     tel_phi = {}

ctapipe/reco/tests/test_ImPACT.py

@@ -1,5 +1,5 @@
 import numpy as np
-from ctapipe.reco.ImPACT import ImPACTFitter
+from ctapipe.reco.ImPACT import ImPACTReconstructor
 from ctapipe.utils import get_dataset
 import astropy.units as u
 from numpy.testing import assert_allclose
@@ -10,7 +10,7 @@ class TestImPACT():
 
     @classmethod
     def setup_class(self):
-        self.impact_reco = ImPACTFitter(root_dir=".", fit_xmax=True)
+        self.impact_reco = ImPACTReconstructor(root_dir=".", fit_xmax=True)
 
     @pytest.mark.skip('need a dataset for this to work')
     def test_brightest_mean_average(self):
@@ -54,11 +54,11 @@ def test_rotation(self):
         x = np.array([1])
         y = np.array([0])
 
-        xt, yt = ImPACTFitter.rotate_translate(x,y,0,0,np.deg2rad(90))
+        xt, yt = ImPACTReconstructor.rotate_translate(x, y, 0, 0, np.deg2rad(90))
         assert_allclose(xt, 0, rtol=0, atol=0.001)
         assert_allclose(yt, 1, rtol=0, atol=0.001)
 
-        xt, yt = ImPACTFitter.rotate_translate(x,y,0,0,np.deg2rad(180))
+        xt, yt = ImPACTReconstructor.rotate_translate(x, y, 0, 0, np.deg2rad(180))
         assert_allclose(xt, -1, rtol=0, atol=0.001)
         assert_allclose(yt, 0, rtol=0, atol=0.001)
 
@@ -67,7 +67,7 @@ def test_translation(self):
         x = np.array([0])
         y = np.array([0])
 
-        xt, yt = ImPACTFitter.rotate_translate(x, y, 1, 1, 0)
+        xt, yt = ImPACTReconstructor.rotate_translate(x, y, 1, 1, 0)
         assert_allclose(xt, -1, rtol=0, atol=0.001)
         assert_allclose(yt, -1, rtol=0, atol=0.001)