From 54d7419d8968ae2d83d6772fc9e24647cbee2afa Mon Sep 17 00:00:00 2001
From: Brendan Haines <brendan.haines@gmail.com>
Date: Sun, 20 Oct 2024 11:47:17 -0600
Subject: [PATCH] initial commit

---
 .vscode/settings.json                      |   3 +
 Pipfile                                    |  16 +
 Pipfile.lock                               | 998 +++++++++++++++++++++
 calculations.ipynb                         | 223 +++++
 data/PD15-22B/reverse_light_current.csv    |  94 ++
 data/TEMD5110X01/reverse_light_current.csv | 156 ++++
 6 files changed, 1490 insertions(+)
 create mode 100644 .vscode/settings.json
 create mode 100644 Pipfile
 create mode 100644 Pipfile.lock
 create mode 100644 calculations.ipynb
 create mode 100644 data/PD15-22B/reverse_light_current.csv
 create mode 100644 data/TEMD5110X01/reverse_light_current.csv

diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 0000000..eb03e14
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+    "notebook.formatOnSave.enabled": true
+}
\ No newline at end of file
diff --git a/Pipfile b/Pipfile
new file mode 100644
index 0000000..e02a011
--- /dev/null
+++ b/Pipfile
@@ -0,0 +1,16 @@
+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[packages]
+numpy = "*"
+matplotlib = "*"
+xarray = "*"
+scipy = "*"
+
+[dev-packages]
+ipykernel = "*"
+
+[requires]
+python_version = "3.10"
diff --git a/Pipfile.lock b/Pipfile.lock
new file mode 100644
index 0000000..b17fe31
--- /dev/null
+++ b/Pipfile.lock
@@ -0,0 +1,998 @@
+{
+    "_meta": {
+        "hash": {
+            "sha256": "cd0ba4aec3812484453833a7dca940b515195812d82c18ffea5fab567e9e42c3"
+        },
+        "pipfile-spec": 6,
+        "requires": {
+            "python_version": "3.10"
+        },
+        "sources": [
+            {
+                "name": "pypi",
+                "url": "https://pypi.org/simple",
+                "verify_ssl": true
+            }
+        ]
+    },
+    "default": {
+        "contourpy": {
+            "hashes": [
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+            "markers": "python_version >= '3.7'",
+            "version": "==26.2.0"
+        },
+        "six": {
+            "hashes": [
+                "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
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+            "version": "==1.16.0"
+        },
+        "stack-data": {
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+            "markers": "python_version >= '3.8'",
+            "version": "==6.4.1"
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+        "traitlets": {
+            "hashes": [
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+            "markers": "python_version >= '3.8'",
+            "version": "==5.14.3"
+        },
+        "typing-extensions": {
+            "hashes": [
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+                "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"
+            ],
+            "markers": "python_version < '3.12'",
+            "version": "==4.12.2"
+        },
+        "wcwidth": {
+            "hashes": [
+                "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859",
+                "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"
+            ],
+            "version": "==0.2.13"
+        }
+    }
+}
diff --git a/calculations.ipynb b/calculations.ipynb
new file mode 100644
index 0000000..3aae532
--- /dev/null
+++ b/calculations.ipynb
@@ -0,0 +1,223 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "from matplotlib import pyplot as plt\n",
+    "import xarray as xr\n",
+    "from pathlib import Path\n",
+    "\n",
+    "dir_ = Path(globals()[\"_dh\"][0])  # __file__ does not exist in ipynb"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def read_wpd_csv(\n",
+    "    filepath: Path | str, x_coord: str, ds_coord: str | None = None\n",
+    ") -> xr.DataArray:\n",
+    "    filepath = Path(filepath)\n",
+    "\n",
+    "    header = np.loadtxt(filepath, dtype=str, max_rows=2, delimiter=\",\")\n",
+    "    header_values = header[0][::2]\n",
+    "    try:\n",
+    "        np.array(header_values, dtype=float)\n",
+    "    except ValueError:\n",
+    "        np.array(header_values)\n",
+    "\n",
+    "    values = np.loadtxt(filepath, dtype=float, skiprows=2, delimiter=\",\")\n",
+    "\n",
+    "    coords = dict()\n",
+    "    dims = [x_coord]\n",
+    "    if ds_coord is not None:\n",
+    "        dims.append(ds_coord)\n",
+    "        coords[ds_coord] = header_values\n",
+    "\n",
+    "    for col in range(int(values.shape[1] / 2)):\n",
+    "        x = values[:, col * 2]\n",
+    "        if col == 0:\n",
+    "            coords[x_coord] = x\n",
+    "        else:\n",
+    "            if np.any(x != coords[x_coord]):\n",
+    "                raise ValueError(f\"All webplotdigitizer datasets must share x values\")\n",
+    "\n",
+    "    da = xr.DataArray(\n",
+    "        values[:, 1::2],\n",
+    "        dims=dims,\n",
+    "        coords=coords,\n",
+    "        attrs=dict(filename=filepath.name),\n",
+    "    )\n",
+    "    return da"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# LED properties\n",
+    "LEDS = {\n",
+    "    \"APHHS1005F3C-70MAV\": dict(\n",
+    "        emissivity=8e-3,  # W/sr\n",
+    "        emissivity_current=70e-3,  # A\n",
+    "    )\n",
+    "}\n",
+    "\n",
+    "# Photodiode properties\n",
+    "PHOTODIODES = {\n",
+    "    \"PD15-22B/TR8\": dict(\n",
+    "        dark_current=5e-9,  # A\n",
+    "        light_current=read_wpd_csv(\n",
+    "            dir_ / \"data/PD15-22B/reverse_light_current.csv\",\n",
+    "            \"irradiance\",\n",
+    "            \"vr\",\n",
+    "        ).isel(vr=0),\n",
+    "    ),\n",
+    "    \"TEMD5110X01\": dict(\n",
+    "        dark_current=3e-9,  # A\n",
+    "        light_current=read_wpd_csv(\n",
+    "            dir_ / \"data/TEMD5110X01/reverse_light_current.csv\",\n",
+    "            \"irradiance\",\n",
+    "            \"vr\",\n",
+    "        ).isel(vr=0),\n",
+    "    ),\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Photodiode Transfer Function')"
+      ]
+     },
+     "execution_count": 83,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(tight_layout=True)\n",
+    "for diode, properties in PHOTODIODES.items():\n",
+    "    lc: xr.DataArray = properties[\"light_current\"]\n",
+    "    lines = ax.loglog(lc.coords[\"irradiance\"], lc, label=diode)\n",
+    "\n",
+    "    ax.axhline(properties[\"dark_current\"], color=lines[0].get_color(), linestyle=\"--\")\n",
+    "    ax.axvline(\n",
+    "        np.max(lc.coords[\"irradiance\"]), color=lines[0].get_color(), linestyle=\"--\"\n",
+    "    )\n",
+    "\n",
+    "ax.set_xlabel(\"Irradiance [$W/m^2$]\")\n",
+    "ax.set_ylabel(\"Current [A]\")\n",
+    "ax.grid(True)\n",
+    "ax.legend(loc=\"upper left\")\n",
+    "ax.set_title(\"Photodiode Transfer Function\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Component comparison')"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "d = np.linspace(0.1, 200, 4000)  # downrange distance\n",
+    "area_objective = np.pi * (80e-3 / 2) ** 2\n",
+    "area_spot = np.pi * (3e-3 / 2) ** 2  # approximation\n",
+    "gain_optical = area_objective / area_spot\n",
+    "\n",
+    "# Received power density\n",
+    "power_density = dict()\n",
+    "for led, properties in LEDS.items():\n",
+    "    incident_power = properties[\"emissivity\"] * (1 / (d**2))  # W / m^2 at objective\n",
+    "    power_density[led] = incident_power * gain_optical\n",
+    "\n",
+    "fig, ax = plt.subplots(tight_layout=True)\n",
+    "for led in LEDS:\n",
+    "    lines = ax.loglog(\n",
+    "        d,\n",
+    "        power_density[led],\n",
+    "        label=f\"{led} ({LEDS[led]['emissivity_current']/1e-3:5.1f} mA)\",\n",
+    "    )\n",
+    "\n",
+    "ax.set_prop_cycle(None)  # reset color cycle to keep colors consistent across plots\n",
+    "for diode, properties in PHOTODIODES.items():\n",
+    "    ax.axhline(\n",
+    "        np.max(properties[\"light_current\"].coords[\"irradiance\"]),\n",
+    "        linestyle=\"--\",\n",
+    "        label=f\"{diode} Psat\",\n",
+    "        color=ax._get_lines.get_next_color(),\n",
+    "    )\n",
+    "\n",
+    "ax.set_xlabel(\"Range [m]\")\n",
+    "ax.set_ylabel(\"RX Power Density [$W/m^2$]\")\n",
+    "ax.grid(True)\n",
+    "ax.legend(loc=\"upper right\")\n",
+    "ax.set_title(\"Component comparison\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
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+   "file_extension": ".py",
+   "mimetype": "text/x-python",
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+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/data/PD15-22B/reverse_light_current.csv b/data/PD15-22B/reverse_light_current.csv
new file mode 100644
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diff --git a/data/TEMD5110X01/reverse_light_current.csv b/data/TEMD5110X01/reverse_light_current.csv
new file mode 100644
index 0000000..930d868
--- /dev/null
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