{ "cells": [ { "metadata": {}, "cell_type": "code", "outputs": [], "execution_count": null, "source": [ "%load_ext autoreload\n", "%autoreload 2" ], "id": "a78faf7f4883772f" }, { "metadata": {}, "cell_type": "code", "outputs": [], "execution_count": null, "source": [ "%reload_ext autoreload\n", "%autoreload 2\n", "import winkelumrechnungen as wu\n", "from ellipsoide import EllipsoidTriaxial\n", "from GHA_triaxial.utils import alpha_para2ell, alpha_ell2para\n", "import numpy as np" ], "id": "46aa84a937fea491" }, { "metadata": {}, "cell_type": "code", "outputs": [], "execution_count": null, "source": [ "ell = EllipsoidTriaxial.init_name(\"KarneyTest2024\")\n", "diffs = []\n", "for beta_deg in range(-180, 181, 45):\n", " for lamb_deg in range(-90, 91, 45):\n", " for alpha_deg in range(0, 360, 45):\n", " beta = wu.deg2rad(beta_deg)\n", " lamb = wu.deg2rad(lamb_deg)\n", " u, v = ell.ell2para(beta, lamb)\n", " alpha = wu.deg2rad(alpha_deg)\n", "\n", " alpha_para_1, *_ = alpha_ell2para(ell, beta, lamb, alpha)\n", " alpha_ell_1, *_ = alpha_para2ell(ell, u, v, alpha_para_1)\n", " diff_1 = wu.deg2rad(abs(alpha_ell_1 - alpha))/3600\n", "\n", " alpha_ell_2, *_ = alpha_para2ell(ell, u, v, alpha)\n", " alpha_para_2, *_ = alpha_ell2para(ell, beta, lamb, alpha_ell_2)\n", " diff_2 = wu.deg2rad(abs(alpha_para_2 - alpha))/3600\n", "\n", " diffs.append((beta_deg, lamb_deg, alpha_deg, diff_1, diff_2))\n", "diffs = np.array(diffs)" ], "id": "82fc6cbbe7d5abcb" }, { "metadata": {}, "cell_type": "code", "outputs": [], "execution_count": null, "source": [ "i_max_ell = np.argmax(diffs[:, 3])\n", "max_ell = diffs[i_max_ell, 3]\n", "point_max_ell = diffs[i_max_ell, :3]\n", "\n", "i_max_para = np.argmax(diffs[:, 4])\n", "max_para = diffs[i_max_para, 4]\n", "point_max_para = diffs[i_max_para, :4]\n", "\n", "print(f'Für elliptisches Alpha = {point_max_ell[2]}° und beta = {point_max_ell[0]}°, lamb = {point_max_ell[1]}°: diff = {max_ell}\"')\n", "print(f'Für parametrisches Alpha = {point_max_para[2]}° und beta = {point_max_para[0]}°, lamb = {point_max_para[1]}°: diff = {max_ell}\"')\n", "pass" ], "id": "97b5b8c9ca5377ab" }, { "metadata": { "ExecuteTime": { "end_time": "2026-01-20T15:33:40.785362Z", "start_time": "2026-01-20T15:33:34.296487Z" } }, "cell_type": "code", "source": [ "ell = EllipsoidTriaxial.init_name(\"KarneyTest2024\")\n", "diffs = []\n", "for beta_deg in range(-180, 181, 45):\n", " for lamb_deg in range(-90, 91, 45):\n", " for alpha_deg in range(0, 360, 45):\n", " beta = wu.deg2rad(beta_deg)\n", " lamb = wu.deg2rad(lamb_deg)\n", " u, v = ell.ell2para(beta, lamb)\n", " alpha = wu.deg2rad(alpha_deg)\n", "\n", " alpha_para_1, *_ = alpha_ell2para(ell, beta, lamb, alpha)\n", " alpha_ell_1, *_ = alpha_para2ell(ell, u, v, alpha_para_1)\n", " diff_1 = wu.deg2rad(abs(alpha_ell_1 - alpha))/3600\n", "\n", " alpha_ell_2, *_ = alpha_para2ell(ell, u, v, alpha)\n", " alpha_para_2, *_ = alpha_ell2para(ell, beta, lamb, alpha_ell_2)\n", " diff_2 = wu.deg2rad(abs(alpha_para_2 - alpha))/3600\n", "\n", " diffs.append((beta_deg, lamb_deg, alpha_deg, diff_1, diff_2))\n", "diffs = np.array(diffs)" ], "id": "98b9b220118deb3f", "outputs": [], "execution_count": 6 } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.6" } }, "nbformat": 4, "nbformat_minor": 5 }