workshop: add Step 4b rotation curl plot
Browse files
notebooks/berk_workshop_v1.ipynb
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@@ -351,6 +351,55 @@
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{
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"cell_type": "markdown",
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"id": "6c89c61d",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e8050ac2",
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"metadata": {},
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"source": [
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"## Step 4b — Scan-detector rotation from CoM curl\n",
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"\n",
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"`DirectPtychography` needs the rotation between the scan axes and the detector\n",
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"axes. Find it by sweeping rotation angles and minimizing the curl of the\n",
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"rotated CoM field. (Auto-estimated internally by `from_dataset4d` too — this\n",
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"cell exposes the curve so you can see WHERE the minimum lands.)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "414e6538",
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"\n",
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"# Fit origin (needed by estimate_detector_rotation) + run estimate.\n",
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"com_model.fit_origin_background()\n",
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"com_model.estimate_detector_rotation()\n",
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"print(f\"detector rotation = {com_model.detector_rotation_deg:.2f}°\")\n",
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"\n",
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"# Recompute the curl-vs-angle curve to plot it.\n",
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"angles_deg = torch.arange(-89, 90, 1, device=com_model.device, dtype=torch.float32)\n",
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"com_t = com_model.origin_measured.view(*dset.shape[:2], 2)\n",
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"com_n = com_t - com_t.mean(dim=(0, 1))\n",
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"rot_rad = torch.deg2rad(angles_deg)[:, None, None]\n",
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"rx = torch.cos(rot_rad) * com_n[None, ..., 0] - torch.sin(rot_rad) * com_n[None, ..., 1]\n",
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"ry = torch.sin(rot_rad) * com_n[None, ..., 0] + torch.cos(rot_rad) * com_n[None, ..., 1]\n",
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"grad_xy = torch.gradient(rx, dim=-1)[0]\n",
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"grad_yx = torch.gradient(ry, dim=-2)[0]\n",
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"curl = torch.mean(torch.abs(grad_yx - grad_xy), dim=(-2, -1)).cpu().numpy()\n",
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"angles = angles_deg.cpu().numpy()\n",
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"\n",
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"fig, ax = plt.subplots(figsize=(6, 3.5))\n",
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"ax.plot(angles, curl, lw=1.5)\n",
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"ax.axvline(com_model.detector_rotation_deg, color=\"red\", lw=1, label=f\"{com_model.detector_rotation_deg:.1f}°\")\n",
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"ax.set_xlabel(\"rotation angle (deg)\")\n",
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"ax.set_ylabel(\"mean |curl(CoM)|\")\n",
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"ax.set_title(\"Scan-detector rotation from CoM curl\")\n",
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"ax.legend()\n",
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"plt.tight_layout(); plt.show()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6c89c61d",
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