{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {
    "id": "aKILrYGWpRCg",
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "---\n",
    "title: \"Data Collection 2 — Colab Notebook Answer Key\"\n",
    "date: \"March 31, 2026\"\n",
    "visible-after: \"2026-09-25T20:00:00-06:00\"\n",
    "---\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- **Team Name:** `Sample Team`\n- **Authors:** `Instructor`\n- **Cell Number:** `R34`\n- **J-V Apparatus Number:** `JV1`\n- **EQE Apparatus Number:** `EQE1`\n\n---\n\n**Note for instructors:** This notebook uses the sample data files located in:\n- `sample-data/Baseline Measurements/` (2026-01-28, t = 0 hr)\n- `sample-data/Week 1/` (2026-02-04, t = 168 hr)\n\nTo run this notebook in Colab, upload the `sample-data` folder to the Colab working directory, or adjust the `data_dir` variable in the setup cell below."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6INEocJnNpwa"
   },
   "source": [
    "## J-V Analysis\n",
    "\n",
    "1. Create a SINGLE plot of the J-V curves of the **forward scans** with data from all pixels.\n",
    "\n",
    "    a. Remember you can copy and paste code from previous notebooks and use AI tools.\n",
    "    b. Also remember that you measured I-V from the pixels, so you will need to determine the current density, J, first before plotting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Question 1:** Discuss what you observe from looking at the comparison of your J-V curves. Do you have any pixels showing different behaviors?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "AzTlty7YOklE"
   },
   "source": [
    "2. Calculate the $J_{sc}$ and PCE values for each pixel and save them to a CSV file. The code below will also extract the standard error (SE) of the current at key measurement points, which we will use for uncertainty propagation later in the notebook. The code will loop through this week's JV measurements and output a CSV file with the following column headers:\n",
    "\n",
    "    `Pixel Number` | `Jsc (mA/cm^2)` | `SE_Jsc (mA/cm^2)` | `J_pmax (mA/cm^2)` | `V_pmax (V)` | `PCE` | `SE_Jpmax (mA/cm^2)` | `dV (V)` | `n_at_MPP`\n",
    "\n",
    "    **Note.** If you already have your own loop to do these calculations, feel free to use that. Just make sure your code also reads the `Forward_std (mA)` and `Forward_n` columns from the raw data so you can compute the standard error."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "zslxPh6ZOjis",
    "outputId": "1f34046d-91db-4d33-927c-1de5a12d0a3c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ok] Loaded pixel 1\n",
      "[ok] Loaded pixel 2\n",
      "[ok] Loaded pixel 3\n",
      "[ok] Loaded pixel 4\n",
      "[ok] Loaded pixel 5\n",
      "[ok] Loaded pixel 6\n",
      "[ok] Loaded pixel 7\n",
      "[ok] Loaded pixel 8\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "[ok] Wrote 2026_02_04_jsc_pce_cellR34.csv\n"
     ]
    },
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Pixel Number",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Jsc (mA/cm^2)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "SE_Jsc (mA/cm^2)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "J_pmax (mA/cm^2)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "V_pmax (V)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "PCE",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "SE_Jpmax (mA/cm^2)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "dV (V)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "n_at_MPP",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "ref": "28e5f91a-8178-4bf1-8e89-994796455f18",
       "rows": [
        [
         "0",
         "1",
         "-10.12542857142857",
         "0.0017053711667336616",
         "-8.239857142857142",
         "1.0",
         "8.256369882622387",
         "0.003939294456666895",
         "0.010000000000000009",
         "10.0"
        ],
        [
         "1",
         "2",
         "-12.444499999999998",
         "0.003227781983129009",
         "-10.308714285714284",
         "1.0",
         "10.32937303177784",
         "0.004063526793316367",
         "0.010000000000000009",
         "10.0"
        ],
        [
         "2",
         "3",
         "-12.956499999999998",
         "0.0050528679469976166",
         "-10.836142857142857",
         "1.0",
         "10.85785857429144",
         "0.005147736276802669",
         "0.010000000000000009",
         "10.0"
        ],
        [
         "3",
         "4",
         "-17.124142857142857",
         "0.002690194780900385",
         "-14.687642857142857",
         "1.02",
         "15.011418551388495",
         "0.0039008953707934217",
         "0.010000000000000009",
         "10.0"
        ],
        [
         "4",
         "5",
         "-10.0375",
         "0.0027308526365311214",
         "-8.250357142857142",
         "1.0",
         "8.266890924706557",
         "0.004241969604140154",
         "0.010000000000000009",
         "10.0"
        ],
        [
         "5",
         "6",
         "-10.926071428571428",
         "0.004063526793316367",
         "-8.839214285714284",
         "1.0",
         "8.856928141998281",
         "0.004709534943893622",
         "0.010000000000000009",
         "10.0"
        ],
        [
         "6",
         "7",
         "-10.257785714285713",
         "0.004212605597295733",
         "-8.279285714285713",
         "0.98",
         "8.129959919839678",
         "0.006024138942620762",
         "0.010000000000000009",
         "10.0"
        ],
        [
         "7",
         "8",
         "-12.781142857142857",
         "0.00363210176967911",
         "-10.585357142857143",
         "1.0",
         "10.606570283423991",
         "0.0067085461790714895",
         "0.010000000000000009",
         "10.0"
        ]
       ],
       "shape": {
        "columns": 9,
        "rows": 8
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pixel Number</th>\n",
       "      <th>Jsc (mA/cm^2)</th>\n",
       "      <th>SE_Jsc (mA/cm^2)</th>\n",
       "      <th>J_pmax (mA/cm^2)</th>\n",
       "      <th>V_pmax (V)</th>\n",
       "      <th>PCE</th>\n",
       "      <th>SE_Jpmax (mA/cm^2)</th>\n",
       "      <th>dV (V)</th>\n",
       "      <th>n_at_MPP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>-10.125429</td>\n",
       "      <td>0.001705</td>\n",
       "      <td>-8.239857</td>\n",
       "      <td>1.00</td>\n",
       "      <td>8.256370</td>\n",
       "      <td>0.003939</td>\n",
       "      <td>0.01</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>-12.444500</td>\n",
       "      <td>0.003228</td>\n",
       "      <td>-10.308714</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.329373</td>\n",
       "      <td>0.004064</td>\n",
       "      <td>0.01</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>-12.956500</td>\n",
       "      <td>0.005053</td>\n",
       "      <td>-10.836143</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.857859</td>\n",
       "      <td>0.005148</td>\n",
       "      <td>0.01</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>-17.124143</td>\n",
       "      <td>0.002690</td>\n",
       "      <td>-14.687643</td>\n",
       "      <td>1.02</td>\n",
       "      <td>15.011419</td>\n",
       "      <td>0.003901</td>\n",
       "      <td>0.01</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>-10.037500</td>\n",
       "      <td>0.002731</td>\n",
       "      <td>-8.250357</td>\n",
       "      <td>1.00</td>\n",
       "      <td>8.266891</td>\n",
       "      <td>0.004242</td>\n",
       "      <td>0.01</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>-10.926071</td>\n",
       "      <td>0.004064</td>\n",
       "      <td>-8.839214</td>\n",
       "      <td>1.00</td>\n",
       "      <td>8.856928</td>\n",
       "      <td>0.004710</td>\n",
       "      <td>0.01</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>-10.257786</td>\n",
       "      <td>0.004213</td>\n",
       "      <td>-8.279286</td>\n",
       "      <td>0.98</td>\n",
       "      <td>8.129960</td>\n",
       "      <td>0.006024</td>\n",
       "      <td>0.01</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>-12.781143</td>\n",
       "      <td>0.003632</td>\n",
       "      <td>-10.585357</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.606570</td>\n",
       "      <td>0.006709</td>\n",
       "      <td>0.01</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pixel Number  Jsc (mA/cm^2)  SE_Jsc (mA/cm^2)  J_pmax (mA/cm^2)  \\\n",
       "0             1     -10.125429          0.001705         -8.239857   \n",
       "1             2     -12.444500          0.003228        -10.308714   \n",
       "2             3     -12.956500          0.005053        -10.836143   \n",
       "3             4     -17.124143          0.002690        -14.687643   \n",
       "4             5     -10.037500          0.002731         -8.250357   \n",
       "5             6     -10.926071          0.004064         -8.839214   \n",
       "6             7     -10.257786          0.004213         -8.279286   \n",
       "7             8     -12.781143          0.003632        -10.585357   \n",
       "\n",
       "   V_pmax (V)        PCE  SE_Jpmax (mA/cm^2)  dV (V)  n_at_MPP  \n",
       "0        1.00   8.256370            0.003939    0.01      10.0  \n",
       "1        1.00  10.329373            0.004064    0.01      10.0  \n",
       "2        1.00  10.857859            0.005148    0.01      10.0  \n",
       "3        1.02  15.011419            0.003901    0.01      10.0  \n",
       "4        1.00   8.266891            0.004242    0.01      10.0  \n",
       "5        1.00   8.856928            0.004710    0.01      10.0  \n",
       "6        0.98   8.129960            0.006024    0.01      10.0  \n",
       "7        1.00  10.606570            0.006709    0.01      10.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Variables needed for J-V analysis\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import os\n",
    "\n",
    "# ===== ANSWER KEY: Process Week 7 (current week) =====\n",
    "# Update these variables for the current week's data\n",
    "date_str = \"2026_02_04\"\n",
    "cell_id  = \"R34\"\n",
    "area_cm2 = 0.14\n",
    "P_in = 99.8\n",
    "pixels = range(1, 9)\n",
    "\n",
    "# Path to the data files (adjust if using Colab or different directory)\n",
    "data_dir = \"sample-data/Week 1/\"  # for current week (2026-02-04)\n",
    "\n",
    "# Column names matching the CSV output from measurement software\n",
    "COL_V          = \"Voltage (V)\"\n",
    "COL_Forward_mA = \"Forward_mean (mA)\"\n",
    "COL_Fwd_std    = \"Forward_std (mA)\"\n",
    "COL_Fwd_n      = \"Forward_n\"\n",
    "\n",
    "# Store raw DataFrames and JV DataFrames for each pixel\n",
    "raw_data = {}\n",
    "jv_data  = {}\n",
    "\n",
    "# Load each pixel's data\n",
    "for n in pixels:\n",
    "    fname = os.path.join(data_dir, f\"{date_str}_IV_cell{cell_id}_pixel{n}.csv\")\n",
    "    try:\n",
    "        df_raw = pd.read_csv(fname)\n",
    "        raw_data[n] = df_raw\n",
    "\n",
    "        df_jv = pd.DataFrame({\n",
    "            \"Voltage (V)\": df_raw[COL_V].astype(float),\n",
    "            \"Current Density (mA/cm^2)\": df_raw[COL_Forward_mA].astype(float) / area_cm2\n",
    "        }).sort_values(\"Voltage (V)\").reset_index(drop=True)\n",
    "\n",
    "        df_jv[\"Power Density (mW/cm^2)\"] = (\n",
    "            df_jv[\"Voltage (V)\"] * df_jv[\"Current Density (mA/cm^2)\"]\n",
    "        )\n",
    "\n",
    "        jv_data[n] = df_jv\n",
    "        print(f\"[ok] Loaded pixel {n}\")\n",
    "\n",
    "    except FileNotFoundError:\n",
    "        print(f\"[skip] Pixel {n}: file not found ({fname})\")\n",
    "    except Exception as e:\n",
    "        print(f\"[skip] Pixel {n}: error reading {fname}: {e}\")\n",
    "\n",
    "# --- Plot all J-V curves on a single plot ---\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "for n in sorted(jv_data.keys()):\n",
    "    jv = jv_data[n]\n",
    "    ax.plot(jv[\"Voltage (V)\"], jv[\"Current Density (mA/cm^2)\"], label=f\"Pixel {n}\")\n",
    "ax.set_xlabel(\"Voltage (V)\")\n",
    "ax.set_ylabel(\"Current Density (mA/cm$^2$)\")\n",
    "ax.set_title(f\"J-V Forward Scans — {date_str} Cell {cell_id}\")\n",
    "ax.legend(fontsize=8)\n",
    "ax.grid(True, alpha=0.4)\n",
    "ax.invert_yaxis()\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# --- Calculate PCE parameters and SE-based uncertainties ---\n",
    "rows = []\n",
    "valid_pixels = sorted(jv_data.keys())\n",
    "\n",
    "for n in valid_pixels:\n",
    "    jv  = jv_data[n]\n",
    "    raw = raw_data[n].sort_values(COL_V).reset_index(drop=True)\n",
    "\n",
    "    V = jv[\"Voltage (V)\"].to_numpy()\n",
    "    J = jv[\"Current Density (mA/cm^2)\"].to_numpy()\n",
    "\n",
    "    # Standard PV parameters\n",
    "    Voc = float(np.interp(0.0, J, V))\n",
    "    Jsc = float(np.interp(0.0, V, J))\n",
    "    P   = V * J\n",
    "    idx_pmax = int(np.argmin(P))\n",
    "    Vmp = float(V[idx_pmax])\n",
    "    Jmp = float(J[idx_pmax])\n",
    "\n",
    "    denom = abs(Jsc) * Voc\n",
    "    FF  = (Vmp * abs(Jmp)) / denom if denom != 0 else np.nan\n",
    "    PCE = ((Voc * abs(Jsc) * FF) / P_in) * 100 if P_in != 0 else np.nan\n",
    "\n",
    "    # Standard Error at the MPP\n",
    "    std_mA_mpp = float(raw[COL_Fwd_std].iloc[idx_pmax])\n",
    "    n_mpp      = float(raw[COL_Fwd_n].iloc[idx_pmax])\n",
    "\n",
    "    if n_mpp > 1:\n",
    "        SE_I_mpp = std_mA_mpp / np.sqrt(n_mpp)\n",
    "        SE_J_mpp = SE_I_mpp / area_cm2\n",
    "    else:\n",
    "        SE_J_mpp = np.nan\n",
    "        print(f\"  [warn] Pixel {n}: n=1 at MPP, SE undefined\")\n",
    "\n",
    "    # Standard Error at V=0 (for Jsc uncertainty)\n",
    "    idx_v0 = int(np.argmin(np.abs(raw[COL_V].to_numpy())))\n",
    "    std_mA_v0 = float(raw[COL_Fwd_std].iloc[idx_v0])\n",
    "    n_v0      = float(raw[COL_Fwd_n].iloc[idx_v0])\n",
    "\n",
    "    if n_v0 > 1:\n",
    "        SE_Jsc = (std_mA_v0 / np.sqrt(n_v0)) / area_cm2\n",
    "    else:\n",
    "        SE_Jsc = np.nan\n",
    "\n",
    "    # Voltage uncertainty: half the voltage step size\n",
    "    if len(V) > 1:\n",
    "        voltage_step = float(np.median(np.abs(np.diff(V))))\n",
    "        dV = voltage_step / 2.0\n",
    "    else:\n",
    "        dV = np.nan\n",
    "\n",
    "    rows.append({\n",
    "        \"Pixel Number\":        n,\n",
    "        \"Jsc (mA/cm^2)\":      Jsc,\n",
    "        \"SE_Jsc (mA/cm^2)\":   SE_Jsc,\n",
    "        \"J_pmax (mA/cm^2)\":   Jmp,\n",
    "        \"V_pmax (V)\":         Vmp,\n",
    "        \"PCE\":                PCE,\n",
    "        \"SE_Jpmax (mA/cm^2)\": SE_J_mpp,\n",
    "        \"dV (V)\":             dV,\n",
    "        \"n_at_MPP\":           n_mpp,\n",
    "    })\n",
    "\n",
    "out_name = f\"{date_str}_jsc_pce_cell{cell_id}.csv\"\n",
    "df_out = pd.DataFrame(rows)\n",
    "\n",
    "if df_out.empty:\n",
    "    print(\"[warn] No valid pixels found.\")\n",
    "else:\n",
    "    df_out.sort_values(\"Pixel Number\").to_csv(out_name, index=False)\n",
    "    print(f\"\\n[ok] Wrote {out_name}\")\n",
    "    display(df_out)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "c17bT0VbnWNv"
   },
   "source": [
    "**NOTE.** Even though your code gives you confirmation that it has successfully written your CSV, always open the file and check to make sure the data you meant to write is actually there."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "S6JZThq1W-0b"
   },
   "source": [
    "### Measurement Uncertainty and Error Bars\n",
    "\n",
    "Last week in lecture, we discussed error propagation and the importance of measurement uncertainty in the context of asking and answering scientific questions. To this end, we will calculate uncertainties in our JV measurements, propagate those uncertainties through our analysis, and then include error bars in our plots.\n",
    "\n",
    "#### Standard Error of the Mean\n",
    "\n",
    "When we take repeated measurements of the same quantity, we expect some variability from one measurement to the next. Two important statistical quantities help us characterize this variability:\n",
    "\n",
    "**Standard Deviation (std)** tells us how spread out individual measurements are. If you measured a current 10 times, the standard deviation describes the typical spread of those 10 values.\n",
    "\n",
    "**Standard Error of the Mean (SE)** tells us how precisely we know the *average* of those measurements:\n",
    "\n",
    "$$SE = \\frac{\\text{std}}{\\sqrt{n}}$$\n",
    "\n",
    "where $n$ is the number of repeated measurements. As we take more measurements, the standard error gets smaller — our estimate of the mean becomes more precise.\n",
    "\n",
    "**Why SE instead of std?** When we report $J_{pmax}$, $J_{sc}$, or any other parameter, we are using the *mean* value from our repeated measurements. The appropriate uncertainty for a mean value is the standard error, not the standard deviation.\n",
    "\n",
    "Our measurement software already computes the mean, standard deviation, and $n$ for each voltage point. The columns `Forward_std (mA)` and `Forward_n` in your J-V data files contain exactly what we need:\n",
    "\n",
    "$$SE_{J} = \\frac{\\texttt{Forward\\_std (mA)}}{\\sqrt{\\texttt{Forward\\_n}}} \\div \\texttt{pixel area}$$\n",
    "\n",
    "The code above already extracted these SE values at the maximum power point and at $V = 0$.\n",
    "\n",
    "#### Uncertainty Propagation for PCE\n",
    "\n",
    "We will propagate the uncertainty using the following formula:\n",
    "\n",
    "$$\\delta f = \\sqrt{\\left(\\frac{\\partial f}{\\partial x}\\right)^{2}(\\delta x)^{2} + \\left(\\frac{\\partial f}{\\partial y}\\right)^{2}(\\delta y)^{2} + \\left(\\frac{\\partial f}{\\partial z}\\right)^{2}(\\delta z)^{2}}$$\n",
    "\n",
    "Recall that:\n",
    "\n",
    "$$PCE = \\frac{|J_{pmax}| \\times V_{pmax}}{P_{in}} \\times 100\\%$$\n",
    "\n",
    "so the uncertainty in the PCE is:\n",
    "\n",
    "$$\\delta_{PCE} = PCE \\times \\sqrt{\\left(\\frac{\\delta J_{pmax}}{J_{pmax}}\\right)^2 + \\left(\\frac{\\delta V_{pmax}}{V_{pmax}}\\right)^2 + \\left(\\frac{\\delta P_{in}}{P_{in}}\\right)^2}$$\n",
    "\n",
    "where:\n",
    "- $\\delta J_{pmax}$ = standard error of the current density at the maximum power point (from our data)\n",
    "- $\\delta V_{pmax}$ = half the voltage step size (instrument resolution)\n",
    "- $\\delta P_{in}$ = $0.9 mW/cm^{2}$ (calibration uncertainty of the solar simulator)\n",
    "\n",
    "The code in the next cell computes this propagation automatically using the SE values extracted above.\n",
    "\n",
    "#### Which uncertainty matters most?\n",
    "\n",
    "Notice that we have three very different *types* of uncertainty entering the propagation:\n",
    "\n",
    "| Source | Type | What it represents |\n",
    "|--------|------|--------------------|\n",
    "| $\\delta J_{pmax}$ | **Statistical** (SE from repeated measurements) | How precisely we know the mean current at the MPP |\n",
    "| $\\delta V_{pmax}$ | **Instrumental** (voltage step resolution) | The finite spacing between voltage set-points |\n",
    "| $\\delta P_{in}$ | **Calibration** (solar simulator spec) | How well we know the incident light power |\n",
    "\n",
    "After running the code below, look at the relative uncertainty breakdown it prints. Which of these three terms dominates the total PCE uncertainty? What does that tell you about what limits the precision of your measurement — and what you would need to change to reduce it?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "BryjOyT71ba0",
    "outputId": "53938218-1017-4744-b955-f100725a8bc8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ok] Wrote 2026_02_04_jsc_pce_uncertainties_cellR34.csv\n"
     ]
    },
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Pixel Number",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Time (hr)",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Jsc (mA/cm^2)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "Jsc_uncertainty (mA/cm^2)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "PCE",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "PCE_uncertainty (%)",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "ref": "57890361-9338-4644-bbdb-6335644a8da8",
       "rows": [
        [
         "0",
         "1",
         "168",
         "-10.12542857142857",
         "0.0017053711667336",
         "8.256369882622387",
         "0.11124781593773321"
        ],
        [
         "1",
         "2",
         "168",
         "-12.444499999999998",
         "0.003227781983129",
         "10.32937303177784",
         "0.13915178194636912"
        ],
        [
         "2",
         "3",
         "168",
         "-12.956499999999998",
         "0.0050528679469976",
         "10.85785857429144",
         "0.1462995815618459"
        ],
        [
         "3",
         "4",
         "168",
         "-17.124142857142857",
         "0.0026901947809003",
         "15.011418551388497",
         "0.20000279781481706"
        ],
        [
         "4",
         "5",
         "168",
         "-10.0375",
         "0.0027308526365311",
         "8.266890924706557",
         "0.11140055939368912"
        ],
        [
         "5",
         "6",
         "168",
         "-10.926071428571428",
         "0.0040635267933163",
         "8.856928141998281",
         "0.11935802558316251"
        ],
        [
         "6",
         "7",
         "168",
         "-10.257785714285712",
         "0.0042126055972957",
         "8.129959919839678",
         "0.11087121808848957"
        ],
        [
         "7",
         "8",
         "168",
         "-12.781142857142855",
         "0.0036321017696791",
         "10.606570283423991",
         "0.1429829496213054"
        ]
       ],
       "shape": {
        "columns": 6,
        "rows": 8
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pixel Number</th>\n",
       "      <th>Time (hr)</th>\n",
       "      <th>Jsc (mA/cm^2)</th>\n",
       "      <th>Jsc_uncertainty (mA/cm^2)</th>\n",
       "      <th>PCE</th>\n",
       "      <th>PCE_uncertainty (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>168</td>\n",
       "      <td>-10.125429</td>\n",
       "      <td>0.001705</td>\n",
       "      <td>8.256370</td>\n",
       "      <td>0.111248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>168</td>\n",
       "      <td>-12.444500</td>\n",
       "      <td>0.003228</td>\n",
       "      <td>10.329373</td>\n",
       "      <td>0.139152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>168</td>\n",
       "      <td>-12.956500</td>\n",
       "      <td>0.005053</td>\n",
       "      <td>10.857859</td>\n",
       "      <td>0.146300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>168</td>\n",
       "      <td>-17.124143</td>\n",
       "      <td>0.002690</td>\n",
       "      <td>15.011419</td>\n",
       "      <td>0.200003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>168</td>\n",
       "      <td>-10.037500</td>\n",
       "      <td>0.002731</td>\n",
       "      <td>8.266891</td>\n",
       "      <td>0.111401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>168</td>\n",
       "      <td>-10.926071</td>\n",
       "      <td>0.004064</td>\n",
       "      <td>8.856928</td>\n",
       "      <td>0.119358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>168</td>\n",
       "      <td>-10.257786</td>\n",
       "      <td>0.004213</td>\n",
       "      <td>8.129960</td>\n",
       "      <td>0.110871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>168</td>\n",
       "      <td>-12.781143</td>\n",
       "      <td>0.003632</td>\n",
       "      <td>10.606570</td>\n",
       "      <td>0.142983</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pixel Number  Time (hr)  Jsc (mA/cm^2)  Jsc_uncertainty (mA/cm^2)  \\\n",
       "0             1        168     -10.125429                   0.001705   \n",
       "1             2        168     -12.444500                   0.003228   \n",
       "2             3        168     -12.956500                   0.005053   \n",
       "3             4        168     -17.124143                   0.002690   \n",
       "4             5        168     -10.037500                   0.002731   \n",
       "5             6        168     -10.926071                   0.004064   \n",
       "6             7        168     -10.257786                   0.004213   \n",
       "7             8        168     -12.781143                   0.003632   \n",
       "\n",
       "         PCE  PCE_uncertainty (%)  \n",
       "0   8.256370             0.111248  \n",
       "1  10.329373             0.139152  \n",
       "2  10.857859             0.146300  \n",
       "3  15.011419             0.200003  \n",
       "4   8.266891             0.111401  \n",
       "5   8.856928             0.119358  \n",
       "6   8.129960             0.110871  \n",
       "7  10.606570             0.142983  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--- Summary ---\n",
      "  Pixel 1: PCE = 8.26 +/- 0.11 %,  Jsc = -10.125 +/- 0.002 mA/cm^2\n",
      "  Pixel 2: PCE = 10.33 +/- 0.14 %,  Jsc = -12.444 +/- 0.003 mA/cm^2\n",
      "  Pixel 3: PCE = 10.86 +/- 0.15 %,  Jsc = -12.956 +/- 0.005 mA/cm^2\n",
      "  Pixel 4: PCE = 15.01 +/- 0.20 %,  Jsc = -17.124 +/- 0.003 mA/cm^2\n",
      "  Pixel 5: PCE = 8.27 +/- 0.11 %,  Jsc = -10.037 +/- 0.003 mA/cm^2\n",
      "  Pixel 6: PCE = 8.86 +/- 0.12 %,  Jsc = -10.926 +/- 0.004 mA/cm^2\n",
      "  Pixel 7: PCE = 8.13 +/- 0.11 %,  Jsc = -10.258 +/- 0.004 mA/cm^2\n",
      "  Pixel 8: PCE = 10.61 +/- 0.14 %,  Jsc = -12.781 +/- 0.004 mA/cm^2\n",
      "\n",
      "--- Relative Uncertainty Breakdown (as %) ---\n",
      "  Pixel      δJ/J      δV/V      δP/P     Total\n",
      "      1    0.048%    1.000%    0.902%    1.347%\n",
      "      2    0.039%    1.000%    0.902%    1.347%\n",
      "      3    0.048%    1.000%    0.902%    1.347%\n",
      "      4    0.027%    0.980%    0.902%    1.332%\n",
      "      5    0.051%    1.000%    0.902%    1.348%\n",
      "      6    0.053%    1.000%    0.902%    1.348%\n",
      "      7    0.073%    1.020%    0.902%    1.364%\n",
      "      8    0.063%    1.000%    0.902%    1.348%\n",
      "\n",
      "  Note: δJ/J is the SE-based measurement uncertainty (statistical).\n",
      "        δV/V is the voltage step resolution (instrumental).\n",
      "        δP/P is the solar simulator calibration (systematic).\n"
     ]
    }
   ],
   "source": [
    "# --- PCE Uncertainty Propagation using Standard Error (Week 7) ---\n",
    "df = pd.read_csv(f\"{date_str}_jsc_pce_cell{cell_id}.csv\")\n",
    "\n",
    "# Time variable — this is Week 7 (168 hours after baseline)\n",
    "t = 168\n",
    "df[\"Time (hr)\"] = t\n",
    "\n",
    "# Uncertainty in light power (from solar simulator calibration)\n",
    "dP_in = 0.9  # mW/cm^2\n",
    "\n",
    "# --- Propagate uncertainty for PCE ---\n",
    "J_abs   = np.abs(df[\"J_pmax (mA/cm^2)\"].to_numpy())\n",
    "V_vals  = np.abs(df[\"V_pmax (V)\"].to_numpy())\n",
    "PCE_vals = df[\"PCE\"].to_numpy()\n",
    "dJ      = df[\"SE_Jpmax (mA/cm^2)\"].to_numpy()\n",
    "dV      = df[\"dV (V)\"].to_numpy()\n",
    "\n",
    "# Relative uncertainties\n",
    "rel_J   = dJ / J_abs\n",
    "rel_V   = dV / V_vals\n",
    "rel_Pin = dP_in / P_in\n",
    "\n",
    "# PCE uncertainty (in percentage points, same units as PCE)\n",
    "df[\"PCE_uncertainty (%)\"] = PCE_vals * np.sqrt(rel_J**2 + rel_V**2 + rel_Pin**2)\n",
    "\n",
    "# Jsc uncertainty for reporting\n",
    "df[\"Jsc_uncertainty (mA/cm^2)\"] = df[\"SE_Jsc (mA/cm^2)\"]\n",
    "\n",
    "# Write final output\n",
    "out_name = f\"{date_str}_jsc_pce_uncertainties_cell{cell_id}.csv\"\n",
    "cols_to_write = [\n",
    "    \"Pixel Number\", \"Time (hr)\",\n",
    "    \"Jsc (mA/cm^2)\", \"Jsc_uncertainty (mA/cm^2)\",\n",
    "    \"PCE\", \"PCE_uncertainty (%)\"\n",
    "]\n",
    "df[cols_to_write].to_csv(out_name, index=False)\n",
    "print(f\"[ok] Wrote {out_name}\")\n",
    "display(df[cols_to_write])\n",
    "\n",
    "# Print a summary for quick review\n",
    "print(\"\\n--- Summary ---\")\n",
    "for _, row in df.iterrows():\n",
    "    pix = int(row[\"Pixel Number\"])\n",
    "    pce = row[\"PCE\"]\n",
    "    dpce = row[\"PCE_uncertainty (%)\"]\n",
    "    jsc = row[\"Jsc (mA/cm^2)\"]\n",
    "    djsc = row[\"Jsc_uncertainty (mA/cm^2)\"]\n",
    "    print(f\"  Pixel {pix}: PCE = {pce:.2f} +/- {dpce:.2f} %,  \"\n",
    "          f\"Jsc = {jsc:.3f} +/- {djsc:.3f} mA/cm^2\")\n",
    "\n",
    "# --- Relative uncertainty breakdown ---\n",
    "print(\"\\n--- Relative Uncertainty Breakdown (as %) ---\")\n",
    "print(f\"  {'Pixel':>5s}  {'δJ/J':>8s}  {'δV/V':>8s}  {'δP/P':>8s}  {'Total':>8s}\")\n",
    "for _, row in df.iterrows():\n",
    "    pix = int(row[\"Pixel Number\"])\n",
    "    rJ = row[\"SE_Jpmax (mA/cm^2)\"] / abs(row[\"J_pmax (mA/cm^2)\"]) * 100\n",
    "    rV = row[\"dV (V)\"] / abs(row[\"V_pmax (V)\"]) * 100\n",
    "    rP = dP_in / P_in * 100\n",
    "    total = np.sqrt((rJ/100)**2 + (rV/100)**2 + (rP/100)**2) * 100\n",
    "    print(f\"  {pix:5d}  {rJ:7.3f}%  {rV:7.3f}%  {rP:7.3f}%  {total:7.3f}%\")\n",
    "\n",
    "print(f\"\\n  Note: δJ/J is the SE-based measurement uncertainty (statistical).\")\n",
    "print(f\"        δV/V is the voltage step resolution (instrumental).\")\n",
    "print(f\"        δP/P is the solar simulator calibration (systematic).\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "n5uJwXAsxIQE"
   },
   "source": [
    "#### Interpreting the Uncertainty Breakdown\n",
    "\n",
    "Look at the relative uncertainty table printed above. You should notice that:\n",
    "\n",
    "1. **$\\delta J / J$ is very small** (typically < 0.1%). With $n$ repeated measurements at each voltage, the standard error of the mean current is tiny — our instrument measures current very precisely and reproducibly.\n",
    "2. **$\\delta V / V$ and $\\delta P_{in} / P_{in}$ dominate** (each ~1%). These are *not* statistical uncertainties from repeated measurements — they are fixed properties of the instrument (the voltage step size chosen for the sweep) and the calibration of the solar simulator.\n",
    "\n",
    "This reveals something important about this experiment: **the precision of the PCE measurement is limited by instrument resolution and calibration, not by measurement repeatability.** Taking more current measurements (increasing $n$) would make $\\delta J / J$ even smaller, but would barely change the total uncertainty because the other two terms dominate."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Question 2:** Looking at the breakdown, which term contributes the most to the total PCE uncertainty? If you wanted to cut the PCE uncertainty in half, what would you need to change about the measurement — and what would *not* help?\n",
    "\n",
    "> **Sample Answer:** The voltage step resolution ($\\delta V / V \\approx 1\\%$) is the largest single contributor, followed closely by the solar simulator calibration ($\\delta P_{in} / P_{in} \\approx 0.9\\%$). Together these two instrumental/calibration terms account for nearly all of the total uncertainty (~1.3%). The statistical measurement uncertainty ($\\delta J / J < 0.1\\%$) is negligible by comparison. To reduce the PCE uncertainty, you would need to: (1) use finer voltage steps in the J-V sweep (e.g., 0.01 V instead of 0.02 V), and/or (2) improve the solar simulator calibration. Simply taking more repeated sweeps (increasing $n$) would *not* meaningfully help, because it only reduces the already-tiny $\\delta J / J$ term."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zvbkD3AGMg-4"
   },
   "source": [
    "3. **Repeat the J-V analysis above for your other weeks of data.** For each week, upload the raw JV CSV files from your team's shared Google Drive folder, update `date_str` and `t`, and re-run the code to generate the uncertainty CSV files. (The originals will remain in Google Drive — uploading just creates a working copy in Colab.)\n",
    "\n",
    "    Once you have uncertainty CSV files for all of your weeks, you are ready to plot.\n",
    "\n",
    "    `Below we process the **Baseline** measurements (2026-01-28, t = 0 hr) using the same approach.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "141xUwi9eh1s",
    "outputId": "19f381a5-8a77-4d86-acc0-c28a20566727"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ok] Loaded baseline pixel 1\n",
      "[ok] Loaded baseline pixel 2\n",
      "[ok] Loaded baseline pixel 3\n",
      "[ok] Loaded baseline pixel 4\n",
      "[ok] Loaded baseline pixel 5\n",
      "[ok] Loaded baseline pixel 6\n",
      "[ok] Loaded baseline pixel 7\n",
      "[ok] Loaded baseline pixel 8\n",
      "\n",
      "[ok] Wrote 2026_01_28_jsc_pce_cellR34.csv\n",
      "[ok] Wrote 2026_01_28_jsc_pce_uncertainties_cellR34.csv\n"
     ]
    },
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Pixel Number",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Time (hr)",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Jsc (mA/cm^2)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "Jsc_uncertainty (mA/cm^2)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "PCE",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "PCE_uncertainty (%)",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "ref": "2ea74519-3be2-4f7c-9a75-d636e68acf85",
       "rows": [
        [
         "0",
         "1",
         "0",
         "-9.827142857142857",
         "0.0033949309451664",
         "8.205501002004006",
         "0.1117947488116797"
        ],
        [
         "1",
         "2",
         "0",
         "-11.96892857142857",
         "0.0038105445805028",
         "10.264242771256798",
         "0.13836772824670324"
        ],
        [
         "2",
         "3",
         "0",
         "-12.745571428571427",
         "0.0039709172332685",
         "11.094975665616948",
         "0.14945710623142336"
        ],
        [
         "3",
         "4",
         "0",
         "-16.440714285714282",
         "0.0037563341063285",
         "14.763527054108216",
         "0.19888764215650798"
        ],
        [
         "4",
         "5",
         "0",
         "-9.153857142857142",
         "0.0027850631107054",
         "7.635541082164328",
         "0.10408942341995779"
        ],
        [
         "5",
         "6",
         "0",
         "-10.08085714285714",
         "0.0037382639482704",
         "8.402948754652162",
         "0.11334084456047457"
        ],
        [
         "6",
         "7",
         "0",
         "-9.587857142857144",
         "0.0041087021884616",
         "7.777294589178356",
         "0.10598889820692212"
        ],
        [
         "7",
         "8",
         "0",
         "-11.3525",
         "0.0029589883820146",
         "9.525980532493556",
         "0.1283759935152476"
        ]
       ],
       "shape": {
        "columns": 6,
        "rows": 8
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pixel Number</th>\n",
       "      <th>Time (hr)</th>\n",
       "      <th>Jsc (mA/cm^2)</th>\n",
       "      <th>Jsc_uncertainty (mA/cm^2)</th>\n",
       "      <th>PCE</th>\n",
       "      <th>PCE_uncertainty (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-9.827143</td>\n",
       "      <td>0.003395</td>\n",
       "      <td>8.205501</td>\n",
       "      <td>0.111795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>-11.968929</td>\n",
       "      <td>0.003811</td>\n",
       "      <td>10.264243</td>\n",
       "      <td>0.138368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>-12.745571</td>\n",
       "      <td>0.003971</td>\n",
       "      <td>11.094976</td>\n",
       "      <td>0.149457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>-16.440714</td>\n",
       "      <td>0.003756</td>\n",
       "      <td>14.763527</td>\n",
       "      <td>0.198888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>-9.153857</td>\n",
       "      <td>0.002785</td>\n",
       "      <td>7.635541</td>\n",
       "      <td>0.104089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>-10.080857</td>\n",
       "      <td>0.003738</td>\n",
       "      <td>8.402949</td>\n",
       "      <td>0.113341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>-9.587857</td>\n",
       "      <td>0.004109</td>\n",
       "      <td>7.777295</td>\n",
       "      <td>0.105989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>-11.352500</td>\n",
       "      <td>0.002959</td>\n",
       "      <td>9.525981</td>\n",
       "      <td>0.128376</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pixel Number  Time (hr)  Jsc (mA/cm^2)  Jsc_uncertainty (mA/cm^2)  \\\n",
       "0             1          0      -9.827143                   0.003395   \n",
       "1             2          0     -11.968929                   0.003811   \n",
       "2             3          0     -12.745571                   0.003971   \n",
       "3             4          0     -16.440714                   0.003756   \n",
       "4             5          0      -9.153857                   0.002785   \n",
       "5             6          0     -10.080857                   0.003738   \n",
       "6             7          0      -9.587857                   0.004109   \n",
       "7             8          0     -11.352500                   0.002959   \n",
       "\n",
       "         PCE  PCE_uncertainty (%)  \n",
       "0   8.205501             0.111795  \n",
       "1  10.264243             0.138368  \n",
       "2  11.094976             0.149457  \n",
       "3  14.763527             0.198888  \n",
       "4   7.635541             0.104089  \n",
       "5   8.402949             0.113341  \n",
       "6   7.777295             0.105989  \n",
       "7   9.525981             0.128376  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ===== ANSWER KEY: Process Baseline (Week 6, t = 0 hr) =====\n",
    "date_str_bl = \"2026_01_28\"\n",
    "t_bl = 0\n",
    "data_dir_bl = \"sample-data/Baseline Measurements/\"\n",
    "\n",
    "raw_data_bl = {}\n",
    "jv_data_bl  = {}\n",
    "\n",
    "for n in pixels:\n",
    "    fname = os.path.join(data_dir_bl, f\"{date_str_bl}_IV_cell{cell_id}_pixel{n}.csv\")\n",
    "    try:\n",
    "        df_raw = pd.read_csv(fname)\n",
    "        raw_data_bl[n] = df_raw\n",
    "\n",
    "        df_jv = pd.DataFrame({\n",
    "            \"Voltage (V)\": df_raw[COL_V].astype(float),\n",
    "            \"Current Density (mA/cm^2)\": df_raw[COL_Forward_mA].astype(float) / area_cm2\n",
    "        }).sort_values(\"Voltage (V)\").reset_index(drop=True)\n",
    "\n",
    "        df_jv[\"Power Density (mW/cm^2)\"] = (\n",
    "            df_jv[\"Voltage (V)\"] * df_jv[\"Current Density (mA/cm^2)\"]\n",
    "        )\n",
    "        jv_data_bl[n] = df_jv\n",
    "        print(f\"[ok] Loaded baseline pixel {n}\")\n",
    "    except FileNotFoundError:\n",
    "        print(f\"[skip] Pixel {n}: file not found ({fname})\")\n",
    "\n",
    "# Calculate PCE + SE for baseline\n",
    "rows_bl = []\n",
    "for n in sorted(jv_data_bl.keys()):\n",
    "    jv  = jv_data_bl[n]\n",
    "    raw = raw_data_bl[n].sort_values(COL_V).reset_index(drop=True)\n",
    "    V = jv[\"Voltage (V)\"].to_numpy()\n",
    "    J = jv[\"Current Density (mA/cm^2)\"].to_numpy()\n",
    "\n",
    "    Voc = float(np.interp(0.0, J, V))\n",
    "    Jsc = float(np.interp(0.0, V, J))\n",
    "    P   = V * J\n",
    "    idx_pmax = int(np.argmin(P))\n",
    "    Vmp = float(V[idx_pmax])\n",
    "    Jmp = float(J[idx_pmax])\n",
    "    denom = abs(Jsc) * Voc\n",
    "    FF  = (Vmp * abs(Jmp)) / denom if denom != 0 else np.nan\n",
    "    PCE = ((Voc * abs(Jsc) * FF) / P_in) * 100 if P_in != 0 else np.nan\n",
    "\n",
    "    std_mA_mpp = float(raw[COL_Fwd_std].iloc[idx_pmax])\n",
    "    n_mpp = float(raw[COL_Fwd_n].iloc[idx_pmax])\n",
    "    SE_J_mpp = (std_mA_mpp / np.sqrt(n_mpp)) / area_cm2 if n_mpp > 1 else np.nan\n",
    "\n",
    "    idx_v0 = int(np.argmin(np.abs(raw[COL_V].to_numpy())))\n",
    "    SE_Jsc = (float(raw[COL_Fwd_std].iloc[idx_v0]) / np.sqrt(float(raw[COL_Fwd_n].iloc[idx_v0]))) / area_cm2\n",
    "\n",
    "    voltage_step = float(np.median(np.abs(np.diff(V))))\n",
    "    dV_bl = voltage_step / 2.0\n",
    "\n",
    "    rows_bl.append({\n",
    "        \"Pixel Number\": n, \"Jsc (mA/cm^2)\": Jsc, \"SE_Jsc (mA/cm^2)\": SE_Jsc,\n",
    "        \"J_pmax (mA/cm^2)\": Jmp, \"V_pmax (V)\": Vmp, \"PCE\": PCE,\n",
    "        \"SE_Jpmax (mA/cm^2)\": SE_J_mpp, \"dV (V)\": dV_bl, \"n_at_MPP\": n_mpp,\n",
    "    })\n",
    "\n",
    "df_bl = pd.DataFrame(rows_bl)\n",
    "df_bl.sort_values(\"Pixel Number\").to_csv(f\"{date_str_bl}_jsc_pce_cell{cell_id}.csv\", index=False)\n",
    "print(f\"\\n[ok] Wrote {date_str_bl}_jsc_pce_cell{cell_id}.csv\")\n",
    "\n",
    "# Propagate uncertainty for baseline\n",
    "df_bl = pd.read_csv(f\"{date_str_bl}_jsc_pce_cell{cell_id}.csv\")\n",
    "df_bl[\"Time (hr)\"] = t_bl\n",
    "\n",
    "J_abs_bl   = np.abs(df_bl[\"J_pmax (mA/cm^2)\"].to_numpy())\n",
    "V_vals_bl  = np.abs(df_bl[\"V_pmax (V)\"].to_numpy())\n",
    "PCE_vals_bl = df_bl[\"PCE\"].to_numpy()\n",
    "dJ_bl      = df_bl[\"SE_Jpmax (mA/cm^2)\"].to_numpy()\n",
    "dV_bl2     = df_bl[\"dV (V)\"].to_numpy()\n",
    "\n",
    "rel_J_bl   = dJ_bl / J_abs_bl\n",
    "rel_V_bl   = dV_bl2 / V_vals_bl\n",
    "rel_Pin_bl = dP_in / P_in\n",
    "\n",
    "df_bl[\"PCE_uncertainty (%)\"] = PCE_vals_bl * np.sqrt(rel_J_bl**2 + rel_V_bl**2 + rel_Pin_bl**2)\n",
    "df_bl[\"Jsc_uncertainty (mA/cm^2)\"] = df_bl[\"SE_Jsc (mA/cm^2)\"]\n",
    "\n",
    "cols_to_write = [\"Pixel Number\", \"Time (hr)\", \"Jsc (mA/cm^2)\", \"Jsc_uncertainty (mA/cm^2)\", \"PCE\", \"PCE_uncertainty (%)\"]\n",
    "df_bl[cols_to_write].to_csv(f\"{date_str_bl}_jsc_pce_uncertainties_cell{cell_id}.csv\", index=False)\n",
    "print(f\"[ok] Wrote {date_str_bl}_jsc_pce_uncertainties_cell{cell_id}.csv\")\n",
    "display(df_bl[cols_to_write])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "CmQ8ZVCfMgC6",
    "outputId": "3ef5fa53-c962-4a95-8925-0cb5f63b1684"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ===== ANSWER KEY: Multi-week PCE plot with correct file names =====\n",
    "files = [\n",
    "    \"2026_01_28_jsc_pce_uncertainties_cellR34.csv\",  # Baseline (t=0)\n",
    "    \"2026_02_04_jsc_pce_uncertainties_cellR34.csv\",  # Week 1 (t=168)\n",
    "]\n",
    "\n",
    "dfs = []\n",
    "for f in files:\n",
    "    try:\n",
    "        d = pd.read_csv(f)\n",
    "        d[\"source_file\"] = f\n",
    "        dfs.append(d)\n",
    "    except FileNotFoundError:\n",
    "        print(f\"[skip] missing file: {f}\")\n",
    "\n",
    "if not dfs:\n",
    "    raise SystemExit(\"No data files loaded. Check file names above.\")\n",
    "\n",
    "all_df = pd.concat(dfs, ignore_index=True)\n",
    "\n",
    "need = [\"Pixel Number\", \"Time (hr)\", \"PCE\", \"PCE_uncertainty (%)\"]\n",
    "missing = [c for c in need if c not in all_df.columns]\n",
    "if missing:\n",
    "    raise ValueError(f\"Missing required columns in data: {missing}\")\n",
    "\n",
    "all_df[\"Pixel Number\"] = pd.to_numeric(all_df[\"Pixel Number\"], errors=\"coerce\").astype(\"Int64\")\n",
    "all_df[\"Time (hr)\"]    = pd.to_numeric(all_df[\"Time (hr)\"], errors=\"coerce\")\n",
    "all_df[\"PCE\"]          = pd.to_numeric(all_df[\"PCE\"], errors=\"coerce\")\n",
    "all_df[\"PCE_uncertainty (%)\"] = pd.to_numeric(all_df[\"PCE_uncertainty (%)\"], errors=\"coerce\")\n",
    "\n",
    "all_df = (\n",
    "    all_df.dropna(subset=[\"Pixel Number\", \"Time (hr)\", \"PCE\"])\n",
    "          .drop_duplicates(subset=[\"Pixel Number\", \"Time (hr)\"], keep=\"last\")\n",
    ")\n",
    "\n",
    "pixels_present = sorted(all_df[\"Pixel Number\"].dropna().unique().astype(int))\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(9, 6))\n",
    "markers = [\"o\", \"s\", \"^\", \"D\", \"v\", \">\", \"x\", \"*\"]\n",
    "\n",
    "for i, pix in enumerate(pixels_present):\n",
    "    d = all_df[all_df[\"Pixel Number\"] == pix].sort_values(\"Time (hr)\")\n",
    "    if d.empty:\n",
    "        continue\n",
    "    marker = markers[i % len(markers)]\n",
    "    ax.errorbar(\n",
    "        d[\"Time (hr)\"].to_numpy(),\n",
    "        d[\"PCE\"].to_numpy(),\n",
    "        yerr=d[\"PCE_uncertainty (%)\"].to_numpy(),\n",
    "        fmt=marker, capsize=4, label=f\"Pixel {pix}\"\n",
    "    )\n",
    "\n",
    "ax.set_xlabel(\"Time (hr)\")\n",
    "ax.set_ylabel(\"PCE (%)\")\n",
    "ax.set_title(f\"PCE vs Time - Cell {cell_id}\")\n",
    "ax.grid(True, alpha=0.4)\n",
    "ax.legend(fontsize=8, title=\"Pixels\", ncols=2)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6w_eKDzvcafc"
   },
   "source": [
    "Congratulations! That was a bunch of new code, but you will have to make minimal edits to use it in upcoming weeks."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "y1M_zkjD1ba0"
   },
   "source": [
    "**Question 3:** Discuss what you observe from looking at the PCE over time. Has anything changed over the past few weeks?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_sCRfnTYdnfP"
   },
   "source": [
    "### EQE Analysis with Uncertainty\n",
    "\n",
    "The External Quantum Efficiency at each wavelength is:\n",
    "\n",
    "$$EQE(\\lambda) = \\frac{I(\\lambda)}{P(\\lambda)} \\times \\frac{hc}{e\\lambda}$$\n",
    "\n",
    "where $I(\\lambda)$ is the measured photocurrent and $P(\\lambda)$ is the incident optical power at wavelength $\\lambda$.\n",
    "\n",
    "Since EQE is a ratio of two measured quantities (each with their own uncertainty), we can propagate the uncertainties using the same approach as for PCE:\n",
    "\n",
    "$$\\frac{\\delta EQE}{EQE} = \\sqrt{\\left(\\frac{\\delta I}{I}\\right)^2 + \\left(\\frac{\\delta P}{P}\\right)^2}$$\n",
    "\n",
    "where:\n",
    "- $\\delta I = SE_I = \\frac{\\texttt{Current\\_std (nA)}}{\\sqrt{n_I}}$\n",
    "- $\\delta P = SE_P = \\frac{\\texttt{Power\\_std (uW)}}{\\sqrt{n_P}}$\n",
    "\n",
    "This gives us an uncertainty band around each EQE curve, allowing us to assess whether changes in EQE between weeks are statistically significant.\n",
    "\n",
    "As a reminder, the EQE data files have the following columns:\n",
    "- Power data: `Wavelength (nm)`, `Power_mean (uW)`, `Power_std (uW)`, `n`\n",
    "- Current data: `Wavelength (nm)`, `Current_mean (nA)`, `Current_std (nA)`, `n`\n",
    "1. The code below calculates EQE and its uncertainty for each pixel and saves the results to a CSV file.\n",
    "2. The plotting cells that follow create EQE curves with shaded uncertainty bands."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "LVxrB3a8eh1t",
    "outputId": "49c1d290-c548-4842-f1d8-a835d31f5dd3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ok] Loaded power data: sample-data/Week 1/2026_02_04_power_cellR34.csv\n",
      "[ok] Pixel 1: peak EQE = 0.9588 (95.9%)\n",
      "[ok] Pixel 2: peak EQE = 0.9334 (93.3%)\n",
      "[ok] Pixel 3: peak EQE = 0.9252 (92.5%)\n",
      "[ok] Pixel 4: peak EQE = 0.8964 (89.6%)\n",
      "[ok] Pixel 5: peak EQE = 0.9278 (92.8%)\n",
      "[ok] Pixel 6: peak EQE = 0.9117 (91.2%)\n",
      "[ok] Pixel 7: peak EQE = 0.9419 (94.2%)\n",
      "[ok] Pixel 8: peak EQE = 0.9323 (93.2%)\n",
      "\n",
      "[ok] Wrote 2026_02_04_eqe_cellR34.csv\n",
      "[ok] Baseline pixel 1: peak EQE = 0.9792\n",
      "[ok] Baseline pixel 2: peak EQE = 0.9707\n",
      "[ok] Baseline pixel 3: peak EQE = 0.9605\n",
      "[ok] Baseline pixel 4: peak EQE = 0.9531\n",
      "[ok] Baseline pixel 5: peak EQE = 0.9770\n",
      "[ok] Baseline pixel 6: peak EQE = 0.9720\n",
      "[ok] Baseline pixel 7: peak EQE = 0.9686\n",
      "[ok] Baseline pixel 8: peak EQE = 0.9748\n",
      "[ok] Wrote 2026_01_28_eqe_cellR34.csv\n"
     ]
    }
   ],
   "source": [
    "# --- EQE Calculation with Standard Error Uncertainty (Week 7) ---\n",
    "\n",
    "# Physical constants\n",
    "h = 6.62607015e-34       # Planck's constant (J*s)\n",
    "c = 3.0e8                # Speed of light (m/s)\n",
    "e_charge = 1.602176634e-19  # Elementary charge (C)\n",
    "\n",
    "# ===== ANSWER KEY: Use data_dir for correct file paths =====\n",
    "power_fname = os.path.join(data_dir, f\"{date_str}_power_cell{cell_id}.csv\")\n",
    "try:\n",
    "    power_data = pd.read_csv(power_fname)\n",
    "    print(f\"[ok] Loaded power data: {power_fname}\")\n",
    "except FileNotFoundError:\n",
    "    print(f\"[error] Power file not found: {power_fname}\")\n",
    "\n",
    "wavelength_nm = power_data[\"Wavelength (nm)\"].to_numpy()\n",
    "wavelength_m  = wavelength_nm * 1e-9\n",
    "\n",
    "P_mean_uW = power_data[\"Power_mean (uW)\"].to_numpy()\n",
    "P_std_uW  = power_data[\"Power_std (uW)\"].to_numpy()\n",
    "n_P       = power_data[\"n\"].to_numpy().astype(float)\n",
    "SE_P_uW = np.where(n_P > 1, P_std_uW / np.sqrt(n_P), np.nan)\n",
    "\n",
    "eqe_df = pd.DataFrame({\"Wavelength (nm)\": wavelength_nm})\n",
    "\n",
    "for pix in pixels:\n",
    "    curr_fname = os.path.join(data_dir, f\"{date_str}_current_cell{cell_id}_pixel{pix}.csv\")\n",
    "    try:\n",
    "        curr_data = pd.read_csv(curr_fname)\n",
    "        I_mean_nA = curr_data[\"Current_mean (nA)\"].to_numpy()\n",
    "        I_std_nA  = curr_data[\"Current_std (nA)\"].to_numpy()\n",
    "        n_I       = curr_data[\"n\"].to_numpy().astype(float)\n",
    "        SE_I_nA = np.where(n_I > 1, I_std_nA / np.sqrt(n_I), np.nan)\n",
    "\n",
    "        I_mean_A = I_mean_nA * 1e-9\n",
    "        SE_I_A   = SE_I_nA * 1e-9\n",
    "        P_mean_W = P_mean_uW * 1e-6\n",
    "        SE_P_W   = SE_P_uW * 1e-6\n",
    "\n",
    "        eqe_vals = (I_mean_A / P_mean_W) * (h * c) / (e_charge * wavelength_m)\n",
    "        rel_I = SE_I_A / np.abs(I_mean_A)\n",
    "        rel_P = SE_P_W / np.abs(P_mean_W)\n",
    "        eqe_unc = np.abs(eqe_vals) * np.sqrt(rel_I**2 + rel_P**2)\n",
    "\n",
    "        eqe_df[f\"eqe_pix{pix}\"]     = eqe_vals\n",
    "        eqe_df[f\"eqe_unc_pix{pix}\"] = eqe_unc\n",
    "        print(f\"[ok] Pixel {pix}: peak EQE = {np.nanmax(eqe_vals):.4f} ({np.nanmax(eqe_vals)*100:.1f}%)\")\n",
    "    except FileNotFoundError:\n",
    "        print(f\"[skip] Pixel {pix}: current file not found ({curr_fname})\")\n",
    "\n",
    "eqe_out = f\"{date_str}_eqe_cell{cell_id}.csv\"\n",
    "eqe_df.to_csv(eqe_out, index=False)\n",
    "print(f\"\\n[ok] Wrote {eqe_out}\")\n",
    "\n",
    "# ===== Also process baseline EQE =====\n",
    "power_fname_bl = os.path.join(data_dir_bl, f\"{date_str_bl}_power_cell{cell_id}.csv\")\n",
    "power_data_bl = pd.read_csv(power_fname_bl)\n",
    "P_mean_uW_bl = power_data_bl[\"Power_mean (uW)\"].to_numpy()\n",
    "P_std_uW_bl  = power_data_bl[\"Power_std (uW)\"].to_numpy()\n",
    "n_P_bl       = power_data_bl[\"n\"].to_numpy().astype(float)\n",
    "SE_P_uW_bl   = np.where(n_P_bl > 1, P_std_uW_bl / np.sqrt(n_P_bl), np.nan)\n",
    "\n",
    "eqe_df_bl = pd.DataFrame({\"Wavelength (nm)\": power_data_bl[\"Wavelength (nm)\"].to_numpy()})\n",
    "wavelength_m_bl = power_data_bl[\"Wavelength (nm)\"].to_numpy() * 1e-9\n",
    "\n",
    "for pix in sorted(jv_data_bl.keys()):\n",
    "    curr_fname_bl = os.path.join(data_dir_bl, f\"{date_str_bl}_current_cell{cell_id}_pixel{pix}.csv\")\n",
    "    try:\n",
    "        curr_data_bl = pd.read_csv(curr_fname_bl)\n",
    "        I_nA = curr_data_bl[\"Current_mean (nA)\"].to_numpy()\n",
    "        I_std = curr_data_bl[\"Current_std (nA)\"].to_numpy()\n",
    "        n_I = curr_data_bl[\"n\"].to_numpy().astype(float)\n",
    "        SE_I = np.where(n_I > 1, I_std / np.sqrt(n_I), np.nan)\n",
    "\n",
    "        I_A = I_nA * 1e-9; SE_I_A2 = SE_I * 1e-9\n",
    "        P_W = P_mean_uW_bl * 1e-6; SE_P_W2 = SE_P_uW_bl * 1e-6\n",
    "\n",
    "        eqe_v = (I_A / P_W) * (h * c) / (e_charge * wavelength_m_bl)\n",
    "        eqe_u = np.abs(eqe_v) * np.sqrt((SE_I_A2/np.abs(I_A))**2 + (SE_P_W2/np.abs(P_W))**2)\n",
    "\n",
    "        eqe_df_bl[f\"eqe_pix{pix}\"]     = eqe_v\n",
    "        eqe_df_bl[f\"eqe_unc_pix{pix}\"] = eqe_u\n",
    "        print(f\"[ok] Baseline pixel {pix}: peak EQE = {np.nanmax(eqe_v):.4f}\")\n",
    "    except FileNotFoundError:\n",
    "        print(f\"[skip] Baseline pixel {pix}: not found\")\n",
    "\n",
    "eqe_out_bl = f\"{date_str_bl}_eqe_cell{cell_id}.csv\"\n",
    "eqe_df_bl.to_csv(eqe_out_bl, index=False)\n",
    "print(f\"[ok] Wrote {eqe_out_bl}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "f0dJf3XOeh1t",
    "outputId": "21f6a058-2cea-426f-dc63-34019f7e668d"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x1600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- EQE Plots with Shaded Uncertainty Bands (This Week) ---\n",
    "eqe_df_plot = pd.read_csv(f\"{date_str}_eqe_cell{cell_id}.csv\")\n",
    "wl = eqe_df_plot[\"Wavelength (nm)\"].to_numpy()\n",
    "\n",
    "fig, axes = plt.subplots(4, 2, figsize=(12, 16))\n",
    "axes_flat = axes.flatten()\n",
    "\n",
    "for i in range(8):\n",
    "    ax = axes_flat[i]\n",
    "    pix = i + 1\n",
    "    col_eqe = f\"eqe_pix{pix}\"\n",
    "    col_unc = f\"eqe_unc_pix{pix}\"\n",
    "\n",
    "    if col_eqe not in eqe_df_plot.columns:\n",
    "        ax.set_visible(False)\n",
    "        continue\n",
    "\n",
    "    eqe_vals = eqe_df_plot[col_eqe].to_numpy()\n",
    "    ax.plot(wl, eqe_vals, 'b-', label=\"EQE\")\n",
    "\n",
    "    if col_unc in eqe_df_plot.columns:\n",
    "        eqe_unc = eqe_df_plot[col_unc].to_numpy()\n",
    "        ax.fill_between(wl,\n",
    "                        eqe_vals - eqe_unc,\n",
    "                        eqe_vals + eqe_unc,\n",
    "                        alpha=0.3, color='blue',\n",
    "                        label=\"SE uncertainty\")\n",
    "\n",
    "    ax.set_title(f\"Pixel {pix}\")\n",
    "    ax.set_xlabel(\"Wavelength (nm)\")\n",
    "    ax.set_ylabel(\"EQE\")\n",
    "    ax.legend(fontsize=8)\n",
    "    ax.set_ylim(bottom=0)\n",
    "\n",
    "plt.suptitle(f\"EQE with Uncertainty — {date_str} Cell {cell_id}\", fontsize=14)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "z00CO6Cyeh1t",
    "outputId": "f351a99d-18d9-4b96-eab3-0915ab242d55"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ok] Loaded Baseline (0 hr): 2026_01_28_eqe_cellR34.csv\n",
      "[ok] Loaded Week 1 (168 hr): 2026_02_04_eqe_cellR34.csv\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x1600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ===== ANSWER KEY: Multi-Week EQE Comparison with correct file names =====\n",
    "eqe_files = {\n",
    "    \"Baseline (0 hr)\": \"2026_01_28_eqe_cellR34.csv\",\n",
    "    \"Week 1 (168 hr)\": \"2026_02_04_eqe_cellR34.csv\",\n",
    "}\n",
    "\n",
    "colors = ['blue', 'red', 'green', 'purple', 'orange', 'brown']\n",
    "\n",
    "eqe_weeks = {}\n",
    "for label, fname in eqe_files.items():\n",
    "    try:\n",
    "        eqe_weeks[label] = pd.read_csv(fname)\n",
    "        print(f\"[ok] Loaded {label}: {fname}\")\n",
    "    except FileNotFoundError:\n",
    "        print(f\"[skip] {label}: {fname} not found\")\n",
    "\n",
    "if not eqe_weeks:\n",
    "    print(\"[warn] No EQE files loaded.\")\n",
    "else:\n",
    "    fig, axes = plt.subplots(4, 2, figsize=(12, 16))\n",
    "    axes_flat = axes.flatten()\n",
    "\n",
    "    for i in range(8):\n",
    "        ax = axes_flat[i]\n",
    "        pix = i + 1\n",
    "        col_eqe = f\"eqe_pix{pix}\"\n",
    "        col_unc = f\"eqe_unc_pix{pix}\"\n",
    "\n",
    "        for j, (label, df_eqe) in enumerate(eqe_weeks.items()):\n",
    "            color = colors[j % len(colors)]\n",
    "            wl = df_eqe[\"Wavelength (nm)\"].to_numpy()\n",
    "            if col_eqe in df_eqe.columns:\n",
    "                eqe_vals = df_eqe[col_eqe].to_numpy()\n",
    "                ax.plot(wl, eqe_vals, color=color, label=label)\n",
    "                if col_unc in df_eqe.columns:\n",
    "                    eqe_unc = df_eqe[col_unc].to_numpy()\n",
    "                    ax.fill_between(wl, eqe_vals - eqe_unc, eqe_vals + eqe_unc,\n",
    "                                    alpha=0.15, color=color)\n",
    "\n",
    "        ax.set_title(f\"Pixel {pix}\")\n",
    "        ax.set_xlabel(\"Wavelength (nm)\")\n",
    "        ax.set_ylabel(\"EQE\")\n",
    "        ax.legend(fontsize=7)\n",
    "        ax.set_ylim(bottom=0)\n",
    "\n",
    "    plt.suptitle(f\"EQE Comparison Over Time — Cell {cell_id}\", fontsize=14)\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hrIQAROoeh1t"
   },
   "source": [
    "**Question 4:** Discuss what you observe from looking at the comparison of all of your EQE curves. Considering the uncertainty bands, are the changes in EQE between weeks statistically significant? At which wavelengths is the uncertainty largest relative to the EQE value, and why?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NhaldreWFciG"
   },
   "source": [
    "## Author Contributions (required)\n",
    "\n",
    "List the name of each team member and please describe briefly how each member contributed to the work in lab this week. (e.g., taking a measurement, updating the Colab notebook, etc.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "wzuOP0_l4LG0"
   },
   "source": [
    "## Use of AI (required)\n",
    "\n",
    "1.   How your team used AI tools: Describe the specific tasks where AI-assisted tools were involved. For example, did AI help with writing, debugging, optimizing, or refining your code? Which components of the analysis did your team use AI on?\n",
    "2.   When your team used AI tools: Specify at what stage(s) of your programming process you used AI. Was it during initial code development, troubleshooting, etc.?\n",
    "3.   Which AI tools your team used: Identify the AI tools or platforms your team consulted (e.g., ChatGPT, GitHub Copilot, etc.)."
   ]
  }
 ],
 "metadata": {
  "colab": {
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
