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removed times 2 in calculated photon center distance
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@@ -88,8 +88,8 @@ Interpolator::interpolate(const ClusterVector<ClusterType> &clusters) {
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dY = 1.0;
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break;
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}
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photon.x -= m_ietax(ix, iy, ie) * 2 - dX;
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photon.y -= m_ietay(ix, iy, ie) * 2 - dY;
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photon.x -= m_ietax(ix, iy, ie) - dX;
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photon.y -= m_ietay(ix, iy, ie) - dY;
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photons.push_back(photon);
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}
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} else if (clusters.cluster_size_x() == 2 ||
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@@ -114,10 +114,10 @@ Interpolator::interpolate(const ClusterVector<ClusterType> &clusters) {
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auto iy = last_smaller(m_etabinsy, eta.y);
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// TODO: why 2?
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photon.x -= m_ietax(ix, iy, ie) *
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2; // eta goes between 0 and 1 but we could move the hit
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// anywhere in the 2x2
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photon.y -= m_ietay(ix, iy, ie) * 2;
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photon.x -=
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m_ietax(ix, iy, ie); // eta goes between 0 and 1 but we could
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// move the hit anywhere in the 2x2
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photon.y -= m_ietay(ix, iy, ie);
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photons.push_back(photon);
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}
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@@ -23,8 +23,8 @@ def create_photon_hit_with_gaussian_distribution(mean, covariance_matrix, data_p
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return (probability_values.reshape(X.shape)).round() #python bindings only support frame types of uint16_t
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def photon_hit_in_euclidean_space(cluster_center, pixels_per_superpixel, photon_hit):
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scaled_photon_hit_x = cluster_center - (1 - photon_hit[0][0])*0.5*pixels_per_superpixel*pixel_width
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scaled_photon_hit_y = cluster_center - (1 - photon_hit[0][1])*0.5*pixels_per_superpixel*pixel_width
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scaled_photon_hit_x = cluster_center - (1 - photon_hit[0][0])*pixels_per_superpixel*pixel_width
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scaled_photon_hit_y = cluster_center - (1 - photon_hit[0][1])*pixels_per_superpixel*pixel_width
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return (scaled_photon_hit_x, scaled_photon_hit_y)
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def create_2x2cluster_from_frame(frame, pixels_per_superpixel):
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