From 723fb3817879a0659d11c1e742a14646e3a03db4 Mon Sep 17 00:00:00 2001 From: Ricardo Date: Fri, 16 Feb 2024 12:04:51 +0100 Subject: [PATCH] allow space between sipms --- notebooks/make_array_geometry.ipynb | 77 ++++++++++++++++------------- src/sipmarray/array.py | 32 ++++++++---- 2 files changed, 67 insertions(+), 42 deletions(-) diff --git a/notebooks/make_array_geometry.ipynb b/notebooks/make_array_geometry.ipynb index ac3fc1e..65dd459 100644 --- a/notebooks/make_array_geometry.ipynb +++ b/notebooks/make_array_geometry.ipynb @@ -58,24 +58,30 @@ "output_type": "stream", "text": [ "Model: S13370-6050CQ-02, \"12x12\", by Hamamatsu\n", - "Total unit area: 237.16 mm^2\n", - "Active area geometric correction: 0.92\n", - "Active area: 144.00 mm^2\n", - "Active area fraction: 0.61\n", + "--------------------------------------------\n", + "Width: 15.0 mm\n", + "Height: 15.0 mm\n", + "Active width: 12.5 mm\n", + "Active height: 12.5 mm\n", "Width tolerance: 0.2 mm\n", - "Height tolerance: 0.2 mm\n" + "Height tolerance: 0.2 mm\n", + "--------------------------------------------\n", + "Total unit area: 237.00 mm^2\n", + "Active area geometric correction: 1.00\n", + "Active area: 144.00 mm^2\n", + "--------------------------------------------\n", + "Active area fraction: 100.00 %\n", + "Photon detection efficiency: 24.00 %\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -96,24 +102,30 @@ "output_type": "stream", "text": [ "Model: S13370-3050, \"3x3\", by Hamamatsu\n", - "Total unit area: 42.47 mm^2\n", + "--------------------------------------------\n", + "Width: 5.9 mm\n", + "Height: 6.55 mm\n", + "Active width: 3 mm\n", + "Active height: 3 mm\n", + "Width tolerance: 0.15 mm\n", + "Height tolerance: 0.15 mm\n", + "--------------------------------------------\n", + "Total unit area: 42.00 mm^2\n", "Active area geometric correction: 1.00\n", "Active area: 9.00 mm^2\n", - "Active area fraction: 0.21\n", - "Width tolerance: 0.15 mm\n", - "Height tolerance: 0.15 mm\n" + "--------------------------------------------\n", + "Active area fraction: 0.00 %\n", + "Photon detection efficiency: 24.00 %\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -141,18 +153,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "Array diameter: 100 mm\n", + "Array diameter: 200 mm\n", "Margin from the array edge: -10 mm\n", - "Number of units: 32\n", - "Total array area: 7853.98 mm^2\n", - "Total photosensor area: 7589.12 mm^2\n", - "Total SiPM active area: 4608.00 mm^2\n", - "SiPM coverage: 0.59\n" + "Number of units: 76\n", + "Total array area: 31415.93 mm^2\n", + "Total photosensor area: 18024.16 mm^2\n", + "Total SiPM active area: 10944.00 mm^2\n", + "SiPM coverage: 0.35\n" ] } ], "source": [ - "array = SiPMarray(array_diameter=100, border_margin=-10, sipm_model = 'quad')\n", + "array = SiPMarray(array_diameter=200,\n", + " border_margin=-10, \n", + " intra_sipm_distance=5,\n", + " sipm_model = 'quad')\n", "array.print_properties()" ] }, @@ -172,14 +187,12 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -302,7 +313,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.13" + "version": "3.8.18" } }, "nbformat": 4, diff --git a/src/sipmarray/array.py b/src/sipmarray/array.py index 63a5e40..0808583 100644 --- a/src/sipmarray/array.py +++ b/src/sipmarray/array.py @@ -9,8 +9,10 @@ class SiPMarray(): """Class to represent a SiPM array. """ - def __init__(self, array_diameter: float, - border_margin:float, sipm_model:str): + def __init__(self, array_diameter: float = 150, + border_margin:float = -10, + intra_sipm_distance: float = 0, + sipm_model:str = 'quad'): """SiPMarray class Args: @@ -21,6 +23,7 @@ def __init__(self, array_diameter: float, self.array_diameter = array_diameter self.border_margin = border_margin + self.intra_sipm_distance = intra_sipm_distance self.sipmunit = self.load_sipmunit(sipm_model) corner_meshes = self.make_corners() @@ -38,15 +41,26 @@ def make_corners(self) -> tuple: Returns: tuple: (A_corner_xx, A_corner_yy, B_corner_xx, B_corner_yy, - C_corner_xx, C_corner_yy, D_corner_xx, D_corner_yy) + C_corner_xx, C_corner_yy, D_corner_xx, D_corner_yy) """ - - # make the center a not - D_corner_x = np.arange(0,self.array_diameter/2 + self.sipmunit.width_unit, self.sipmunit.width_unit) - D_corner_y = np.arange(0,self.array_diameter/2 + self.sipmunit.height_unit, self.sipmunit.height_unit) + half_intra_space = self.intra_sipm_distance/2 - D_corner_x = np.concatenate([-np.flip(D_corner_x[1:]),D_corner_x]) - D_corner_y = np.concatenate([-np.flip(D_corner_y[1:]),D_corner_y]) + # make the center a not + D_corner_x = np.arange( + 0 + half_intra_space, + self.array_diameter/2 + self.sipmunit.width_unit + self.intra_sipm_distance, + self.sipmunit.width_unit + self.intra_sipm_distance) + D_corner_y = np.arange( + 0 + half_intra_space, + self.array_diameter/2 + self.sipmunit.height_unit + self.intra_sipm_distance, + self.sipmunit.height_unit + self.intra_sipm_distance) + + D_corner_x = np.concatenate( + [-np.flip(D_corner_x) - self.sipmunit.width_unit, + D_corner_x]) + D_corner_y = np.concatenate( + [-np.flip(D_corner_y) - self.sipmunit.height_unit, + D_corner_y]) D_corner_xx, D_corner_yy = np.meshgrid(D_corner_x, D_corner_y, indexing = 'ij')