From 5038ce4dae0673a9ead9afc6947748675eb0e68e Mon Sep 17 00:00:00 2001 From: David A Minton Date: Thu, 8 Jul 2021 16:37:46 -0400 Subject: [PATCH] Fixed barycentric velocity problem with test particle drift. --- .../swiftest_vs_swifter.ipynb | 570 +----------------- src/helio/helio_drift.f90 | 17 +- src/modules/helio_classes.f90 | 10 +- 3 files changed, 41 insertions(+), 556 deletions(-) diff --git a/examples/helio_swifter_comparison/swiftest_vs_swifter.ipynb b/examples/helio_swifter_comparison/swiftest_vs_swifter.ipynb index bdc6cdd03..9a487a59c 100644 --- a/examples/helio_swifter_comparison/swiftest_vs_swifter.ipynb +++ b/examples/helio_swifter_comparison/swiftest_vs_swifter.ipynb @@ -89,8 +89,8 @@ "metadata": {}, "outputs": [], "source": [ - "pldiff = swiftdiff.where(np.invert(np.isnan(swiftdiff['Mass'])), drop=True)\n", - "tpdiff = swiftdiff.where(np.isnan(swiftdiff['Mass']), drop=True)" + "plidx = swiftdiff.id.values[swiftdiff.id.values < 10]\n", + "tpidx = swiftdiff.id.values[swiftdiff.id.values > 10]" ] }, { @@ -98,16 +98,9 @@ "execution_count": 8, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -119,8 +112,12 @@ } ], "source": [ - "pldiff['dr'].plot.line(x=\"time (y)\")\n", - "print()" + "fig, ax = plt.subplots()\n", + "swiftdiff['dr'].sel(id=plidx).plot.line(x=\"time (y)\", ax=ax)\n", + "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n", + "ax.set_title(\"Helio integrator \\n Planets only\")\n", + "#legend = ax.legend()\n", + "fig.savefig(\"helio_swifter_comparison-pl-rmag.png\", facecolor='white', transparent=False, dpi=300)" ] }, { @@ -128,16 +125,9 @@ "execution_count": 9, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, { "data": { - "image/png": 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cj6cNGTKEPn36sGvXLuLj45k7dy7jxo1j+fLltGvXjuXLlzNu3DizyxTC77lKSzk0/H5KNmyg+fPTiRg0yOyS3GJn9k5u/upmUgpTmHHhDK+EO3i+Bf8yMBYIP9ELlFLDgGEAiYmJHi6nZhYtWnTc7d9///1J3/fkk096oBoh6iZXWRlJ94+geM0amk17ts6sxvRL8i+MXjGa8MBw5l0yj/aR3hsF5LEWvFLqciBda73uZK/TWs/SWvfSWveKjY31VDlCCB+my8tJfvAhin75haZPT6bhlVeaXZJbfPznx9z//f0kRiSy8LKFXg138GwL/lzgSqXUpUAwEKGU+q/W+t8e3KcQws9ou53kMWMo/Okn4p6cSKNrrzW7pFrTWvPahteYvWU2/Zr34/kBzxNq8/6EaB5rwWutH9Nax2utWwI3Aj/UNNx9adUpd6mLxyTE6dIOB4cffZSC5d/RZPx4Im+80eySaq3UUcqjPz/K7C2zub799bw28DVTwh38YBx8cHAwWVlZREdHe3Q4kTdprcnKyiI4ONjsUoQwjXY6OTx+PPlLv6bxI48QdestZpdUa5klmTz0w0NsydzCqJ6juKPLHabmllcCXmu9AlhRk/fGx8eTlJRERkaGW2syW3BwMPHx8WaXIYQptNPJ4XGPkf/FF8SOHEn0XXeaXVKt7crexQM/PEBuWS4vnfcSF7S4wOySfL8Fb7PZaNWqldllCCHcRDscRrh/+SWxI0cSc+89ZpdUaz8d+omxK8cSFhjGvIvn0Sm6k9klAX4Q8EKIusPocx9H/ldfETt6NDHDhppdUq1orZm/fT4vrH2BTtGdeG3gazRu0Njsso6QgBdCeIV2ODg89lHyly4ldsxoYob6d7jbXXamrJ7Cx7s/ZlCLQUzpN4WQgBCzyzqGBLwQwuO0w0HyI49Q8PU3NH54DNF33212SbWSV5bHmBVjWJO6hqHdhjLizBFYlO/Nvi4BL4TwKG23k/zIWAq++YbGjzzi9ydU9+ftZ8QPIzhceJip/aZyRZsrzC7phCTghRAeo+12kh9+hIJvv6Xx2LFE33mH2SXVyu8pvzNqxSisysqcf83hrCZnmV3SSfnedwohRJ1gXKH6sBHu4x7163DXWvP+zve5Z/k9xITE8N5l7/l8uIO04IUQHqDLy41wX77cCPfbbze7pBqzO+1MWWOcTO0f359n//ks4YEnnD/Rp0jACyHcylVWRvJDIylcsYIm4x8j6tZbzS6pxjJLMhm9YjQb0jdwd7e7GdFjBFaL1eyyqk0CXgjhNq7iYpJGjKDo19+Im/gEkUOGmF1SjW3L2sZDPzxEXlke0/tP5+JWF5td0mmTgBdCuIWzsJBD995LyfoNNH3mGRoNvtrskmps6d6lPPHrE0QGRzL/kvk+c2Xq6ZKAF0LUmjMvj4NDh1G6fbuxEtOll5pdUo04XU5e2/Aac7fO5azGZ/HieS8SHRJtdlk1JgEvhKgVR3Y2B++6m/I9e4h/5WXCLzB/kq2aKCgv4NGVj/Jz8s9c3/56HvvHY9isNrPLqhUJeCFEjdnT0zl4x53Yk5KInzGDsH/2M7ukGtmft58HfniApIIkJpwzgRs63GB2SW4hAS+EqBH74cMcuOMOHBmZJMyaRWjvf5hdUo38ePBHxq8aj81iY/a/ZtMrrpfZJbmNBLwQ4rSVHzzIgdtvx1VQSOLcOTQ480yzSzptTpeTNza+wewts+kS3YUXz3uRZmHNzC7LrSTghRCnpeyvvzh4+x1ou53Ed98hpEsXs0s6bbmluYz7eRy/HP6Fa9tdy2O9HyPIGmR2WW4nAS+EqLaSLVs4NHQY2AJInD+P4PbtzS7ptG3P2s7oFaNJL05nYp+JXNf+OrNL8hiZi0YIUS1Fq1dz8LbbsYSF0fK99/wy3JfsWcKtX9+Kw+Vg3sXz6nS4g7TghRDVUPDddySPGk1gyxYkzJmLrYnvrFpUHeXOcqb9Po0P//yQ3nG9eW7Ac0QFR5ldlsdJwAshTir3409ImTCBkG7dSHhrJtZGjcwu6bSkFqUyZsUYNmdu5o6ud/DgmQ8SYKkf0Vc/jlIIUSNZ77xL+rRphPbtS/xrr2IJDTW7pNPyR+ofPPzTw5Q6SnnxvBcZ1GKQ2SV51Sn74JVSVqXUKG8UI4TwDVpr0l9+mfRp0wi/6CLiZ77pV+Hu0i7mbJnD3cvuJiIwgkWXLap34Q7VCHittRO4ygu1CCF8gHa5SH3qKbJmvkWj66+j+YsvYAkMNLusasstzeX+7+/nlfWvcFGLi3j/8vdp3ai12WWZorpdNL8opV4HPgCKKjdqrdef6A1KqWBgJRBUsZ/FWuuJtahVCOFhurycw4+NJ/+rr4i++y5ix4xBKWV2WdW2MX0jj6x8hKySLB7v/Tg3dLjBr+p3t+oGfN+K20kVtwrQwMCTvKcMGKi1LlRK2YBVSqmvtdara1aqEMKTnIVFJD/4IEW//krsmNHEDB1qdknVprVmwfYFvLTuJZqENmHBpQvoEu1/F2C520kDXik1uuLulxiBXvW/Qn2y92qtNVBY8dBW8XPS9wghzOHIyODQPfdSumsXTadModG115hdUrXll+czYdUEfjj0AwMTBjK532QiAiPMLssnnKoFX7nwYAfgbOAzjJC/AqP75aSUUlZgHdAWeENrveY4rxkGDANITEysduFCCPco37+fg3cPxZGVRcKMNwgbMMDskqptW9Y2xqwYQ1pRGmPPHsu/O/27XnfJ/J0yGtqneJFSy4BrtdYFFY/DgY+01tVaw0op1Qj4FHhAa731RK/r1auXXrt2bXU+UgjhBiWbN3PonnsBSHhrJiHdu5tcUfVorXl/1/tM/2M60SHRPD/gec6IPcPsskyhlFqntT7uFJjV7YNPBMqrPC4HWla3AK11rlJqBXAxcMKAF0J4T+HKlSQ9NJKA6GgS58wmsGVLs0uqlvzyfCb9OollB5bxz+b/ZGq/qTQKbmR2WT6pugG/APhdKfUpRj/6YGDeyd6glIoF7BXhHgJcCEyrTbFCCPfI/eRTUiZMILhDBxJmvUVATIzZJVXLxvSNPLryUdKL0xl51kju6HoHFiVTap1ItQJeaz1FKfU18M+KTXdorTec4m1NgXkV/fAW4EOt9Zc1L1UIUVtaa7LeeouMl18htG9fmr/6KtYw37+Ayely8vbWt3lj4xvEhcbx7iXv1tsumdNR7akKKsa8n3Dc+3Fevxnwv1UAhKijtNNJ2pQp5CxcRMSVV9Ds6adRfnABU3pxOuNXjWdNyhoubnkxT/R5gvDA8FO/UchcNELUB66iIpJHj6Hwp5+MC5hGj0ZZfL9rY2XSSh5f9TilzlKe6vsUV7e9WkbJnAYJeCHqOHtaOofuu5eynbuIm/gEkUOGmF3SKZU7y3l5/css2L6A9pHtmd5/er2dbqA2JOCFqMNKd+7k0L334crPJ2Hmm4T17292Sae0P28/Y1eOZUf2Dm7qeBOje42uk8vpeYMEvBB1VOHPP5P80Egs4eG0WPgewR07ml3SSWmtWbJnCc/8/gyB1kBePf9Vzk883+yy/JoEvBB1UM77H5A6eTJBHdqT8Oab2Jo0Mbukk8opzWHSb5P4/uD3nB13NlP7TSUuNM7ssvyeBLwQdYh2uUh//gWy336bsAEDjKl+fXwe91XJq5jwywTyyvIY03MMt3a5Vca2u4kEvBB1hKukhMNjH6Vg+XIib7qJJuMfQwX47j/xEkcJL617iUU7F9G2UVtmXjiTDlEdzC6rTvHdv30hRLXZ09JJGjGC0q1bafLYOCJvvdWnhxNuz9rOuJ/HsS9vH7d0voWHznpITqR6gAS8EH6uZMtWku6/H2dhIfGvv0b4BReYXdIJOV1O3tn2Dm9seIOokChmDZpFn2Z9zC6rzpKAF8KP5S9dyuHHxhMQHU3LRQsJ7uC7XRxJBUn8Z9V/WJ++notaXsSEcybQMKih2WXVaRLwQvgh7XKR+frrZM54k5CePYl/9RUCoqPNLuu4tNZ8svsTpq+djkIxtd9ULm99uU93IXmVywW5ByCqlds/WgJeCD/jKi7m8KPjKFi+nIbXXkPTiRN9dk6Z1KJUnvz1SX45/Av/iPsHT537FM3Dmptdlm9w2mHLR7DqJSgvggc3QoB7/x4l4IXwI/bkZA7dP4KyP//06ZOpWms+/+tzpv0+DYd2ML73eP6vw//J8EcAewls+C/88irkHYQm3eBfj4HF6vZdScAL4SeK128g6YEH0OXlJLz1FmH/7Gd2SceVUZzBpN8m8VPST5zV+CyePvdpEiISzC7LfCW58MccWP0mFGdC/D/g0unQ/iLw0H/SEvBC+IHcxYtJnfQUAc2akvDmfIJa+97EW1prlu5bytQ1UylzljH27LHc3OlmabUXpMLqGfDH21BeAG0HQb9R0KKvx4K9kgS8ED7MVV5O2pSp5H7wgbFAx4svYG3UyOyy/kdmSSZPr36a7w9+T/fY7jx97tO0auj+k4Z+Jesv+PU12LgQXHboMhjOHQlNvbfurQS8ED7KnpZO8kMPUbJxI9FD7yZ25EiU1f39tLWhtebb/d8yZc0UiuxFjOo5its634bVA/3JfiNls3HidPsSsARAj5uh7wMQ3cbrpUjAC+GDitetI2nkSFxFxTR/+SUiLr7Y7JL+R2pRKlNWT2FF0gq6RHdhSr8ptGnk/RDzCVrDgV9h1Yuw5zsIDDdC/ZzhEG7epGkS8EL4EK01OYsWkTb1GWzNm5E4dy7B7dubXdYxXNrF4j8X8+K6F3G6nDzc62Fu7nQzAZZ6GCcuF+z+Fn5+EZJ+hwYxMHACnH03hDQyuzoJeCF8hausjNQnJ5H36aeEDRhAs+nPYY2IMLusY+zP28+Tvz3JurR19I7rzcQ+E+vnCBlHGWxZbPSxZ+yAholw6fNGd0xgA7OrO0ICXggfYD98mKQHH6J061Zihg8nZsT9PrVmqt1lZ962eby58U2CrEFM6juJwW0H++QYfI8qyYV178DqmVCYCo07w+BZ0PUasNrMru5/SMALYbLClSs5PPZRtN1O/Iw3CB840OySjrE9azsTf53IzuydXJh4IeN7jye2QazZZXlX7kFj/Pr6+VBeCK3Pg6tnQJuBHh/qWBsS8EKYRDudZLz2Glkz3yKoQweav/wSQa18Z2hhiaOENze9yfxt84kMjuSl817iwhYXml2Wdx3eaHTDbPvUCPKu10KfEV4d6lgbHgt4pVQCMB+IA1zALK31K57anxD+xJGRQfLDj1C8Zg0Nr72GuAkTsAQHm13WESuTVjJ1zVSSC5O5pt01jO45uv7M/Kg17F4Ov74K+382RsT0GQ6974WG8WZXd1o82YJ3AGO01uuVUuHAOqXUcq31dg/uUwifV/T77ySPGYOroJCmU6fS6JrBZpd0RGpRKs/98RzLDyyndcPWvH3R25wdd7bZZXmHo8yY/OvX1yBjJ4Q3g0GToedtEOyf/7l5LOC11ilASsX9AqXUDqA5IAEv6iXtcpE1ew4Zr7xCYGIiiXPmEtzBN4ZAOlwOFu1cxOsbXsepnTx45oPc3uV2bD544tDtirONE6dr3oLCNGPyr8GzjCtP3Ty7o7d5pQ9eKdUSOBNYc5znhgHDABITE71RjhBe58jJ4fC4cRT9tJKISy8h7qnJWMN8YzHsLRlbmLx6Mjuyd9CveT/G9x5PQng9GPqYsQvWzISNi8BRYpwwHTwTWp/v0ydOT4fHA14pFQZ8DIzUWuf//Xmt9SxgFkCvXr20p+sRwtuK164l+ZGxODIzaTLhcSJvusknhhfml+fz6vpX+XDXh8SGxPLieS9yYeKFPlGbx2gNf31vjIjZ8x1Yg6D7DUb/elxXs6tzO48GvFLKhhHu72mtP/HkvoTwNdrhIHPmW2TOmIEtPp6WCxcS0s38ENFa89W+r3j+j+fJKcvh5k43c3+P+wkLDDO7NM8pL4JN7xst9sw/IawJnP849LoDQmPMrs5jPDmKRgFzgR1a6xc9tR8hfJE9JYXkRx6hZO06Iq68grgnJvpEl8zO7J08s+YZ1qevp2t0V2ZcOIPO0Z3NLstz8pLg99mw7l0ozYWmPeCa2dD5ar/vX68OT7bgzwVuAbYopTZWbBuvtV7qwX0KYbr85ctJeXwC2O00m/YsDa+6yuySyC3N5fWNr/PRnx/RKKgRk/pO4uq2V9fNudq1hqQ/jDnYt38OaOh0hTHxV0LvOtO/Xh2eHEWzCqg/f5Ki3nOVlpI2bRq5i94nuGtXmr/wPIEtWphak9Pl5OPdH/PqhlcpLC9kSMchDO8xnIhA35rjxi0c5bDjcyPYk9dBUENj/Po/hkGj+jmAQ65kFcINynbvJnn0GMp27ybqzjtpPPIh0xfC3pC+gWfWPMOO7B2cHXc2j/3jMdpFtjO1Jo/ITzGGOa571xjmGN3WmPjrjCEQVIfPK1SDBLwQtaBdLnL++1/Sn38BS3g4CbNnm75WakZxBi+ue5Ev935JkwZNmD5gOhe1uKhujY6pnH/991mw80twOaHdIDh7KLS9EHxoojYzScALUUP2lBQOjx9P8W+rCTvvPJo+PZmAGPNGZJQ4Spi/bT5zt87F4XIwtNtQ7u52Nw1svjN9ba2VFcLmD4zFq9O3Q3AjY4jj2XdBlO+tU2s2CXghTpPWmvwvvyL1qafQTidxk5+i0XXXmdZCdmkXX+39ilfWv0JacRoXJl7I6J6j69Y87Zm7jVDfuBDK8iGuO1z5ujH5lw/Nv+5rJOCFOA3O3FxSJk2i4OtvCDnzTJpNe5ZAE6/AXpe2jul/TGdb1ja6RHdhWv9p9GzS07R63MrlhD+/MYY57v0RLDbocrVx0jT+7Ho1GqamJOCFqKbCn1eR8p//4MjOJnbUKKLvvsu0RbAP5R/ipfUvsfzAcpo0aMLUflO5rPVldWPYY2E6bPgvrH0H8g5CRHMY+DicdRuENTa7Or8iAS/EKbiKikh/4UVyFi4ksG0bWr45g5AuXUypJb88n9mbZ/PejvcIsAQwoscIbu1yKyEBIabU4zYuF+z7yRgNs/MrcDmg5T/hoinQ4VKwSlTVhPypCXESRb/9RsrjE7AfPkzUbbcSO2qUKfO2lzvL+WDXB8zaPIu8sjwGtxvMiB4j/H9lpcIM2PieMcQxZx+ERBonTXveDjF1cEinl0nAC3EczsJC0p+bTu6HHxLYogUt/ruABj2937ftdDn5at9XvLHhDQ4XHeacpucwptcYOkZ19HotbuNyGQtprHsHdnwJLju0OBfOHw+drgSb7yx84u8k4IX4m8KfV5HyxBM40tKIuvNOYh98wOutdq01K5NW8vL6l9mTu4fO0Z15su+T9GnWx6t1uFVR5tHWevZeY4jjP4YarfXYDiYXVzdJwAtRwZmfT9qz08j75BMC27Sh5aKFhJxxhtfr2Ji+kZfWvcT69PUkhicyfcB0/tXiX/55AtXlggOrjFDf8QU4yyGxDwx4FDpfBTY/P3fg4yTghQAKfviR1CefxJGVRfSwYcTcPxxLUJBXa9iTs4dXNrzCikMriAmJYcI5ExjcbjA2ix+uqpSXbIxZ3/hfyNlvLHnX606jtd64k9nV1RsS8KJes6elkzZlCgXLlhHUrh3xM2YQ0tW7I2QO5h/krc1v8eXeL2kQ0IAHz3yQmzvd7H9XoDrKYNdSY4jjnu8BbYyEOe8xaa2bRAJe1Eva6STn/ffJePEltMNB7MiRRN95h1cnCEsqSGLW5ll8/tfn2Cw2bu18K3d1vYtGwY28VoNbpG4xQn3zB1CSY4xb7/8I9LgJolqZXV29JgEv6p3SXbtIeeIJSjdtJrRvH+ImTvTqtL4phSnM2jKLJbuXYFEWhnQcwl3d7iImxI9WFirJgS2LjWBP2QjWQOh4GZx5C7Q+DyzmXAAmjiUBL+oNV3ExmTNmkPXOu1gbNqTZ9OeIuPxyr80hk1qUypwtc/h498coFNd3uJ67ut5Fk9AmXtl/rbmcsG+lEeo7vgBnGTTpBpc8B92uhwZRZlco/kYCXtQLBStWkDb5aezJyTS87lqaPPww1kaNvLLvjOIM5m6dy0e7PsKlXQxuN5ih3YbSNKypV/Zfa2nbYfP7sPkjKDhsDG/seRuc+W9o6v1RRqL6JOBFnVZ+4ABpU5+h8KefCGzdmhYL5tPg7LO9su/kwmTe2foOn+z+BJd2cVXbqxjWfRjNw5p7Zf+1UpAGWxcbC1WnbgZLgDHP+sVTof0lcjGSn5CAF3WSq7iYzFmzyJ77Nspmo/HYsUT9+2avnETdl7ePOVvmsHTvUlBwVZuruKvrXb4/fW95sTEKZtP78NcPoJ3Q7EyjC6brtRDqR+cIBCABL+oYrTUF3y4jbdo0HCkpRFx5BY3HPIytiednIdyVvYvZW2azbP8ygqxB3NjxRm7rchtxoXEe33eNVV6ItOkD2P4ZlBdARDz0Gwndb4TY9mZXKGpBAl7UGWV79pA6ZQrFv60mqGNHmk9/jga9enl8v5syNjF782x+SvqJUFsod3a9k1s630J0SLTH910jWkPaVmMUzJbFkJ8EgeHQ5Soj1FucK0ve1RES8MLvOXJyyHxjBjnvv4+lQQOaPDGByBtuQAV47tdba82q5FXM2zaPNalraBjUkOE9hnNTx5toGNTQY/utlay/jEDfuhgy/wRlhTYDYdAkY0peWRmpzpGAF37LVV5OzoL/kjlzJq6iIhrdcD2xDz5IQJTnhuuVO8tZum8p87bNY0/uHho3aMyYnmO4ocMNvnnlaV4SbP3ECPWUTYAyWui974XOV0Ooj37LEG7hsYBXSr0NXA6ka627emo/ov4x+tm/Jf35F7AnJRE6oD9NHnmEoLZtPbbP/PJ8Ptz1IQt3LCSjJIN2ke2Y0m8Kl7S8BJvVx+aKKcqEbZ/C1o/h4G/GtmZnwb+mQJfB0NAPRvEIt/BkC/5d4HVgvgf3IeqZkk2bSHt2GiUbNhDUvj0Jc+cQdu65Htvf4cLDLNi+gE92f0Kxo5g+Tfvw9LlP06dZH9MW2T6ukhzYudRoqe/9yRgBE9sRzn8cul4D0W3MrlCYwGMBr7VeqZRq6anPF/VL2b59ZL72GvlLv8YaG0Pc5KdodM01HlkTVWvNpoxNvLfjPZYfWI5CcXGri7m9y+10iPKhecuLsmDnl7Djc9i7wljmrlELOPch6HYdNDFnWUHhO6QPXvg0e2oqmW+8Qe4nn6KCgogZfh9Rd96FNSzU7fsqc5bxzb5vWLhzIduzthNuC+ffnf7Nvzv/23eGOhamG9MEbP8M9q8yWuqRLaHP/dDpKmh+FvjSNwthKtMDXik1DBgGkJiYaHI1wlc4cnLIemsWOQsXgtZE3nQTMfcMIyDG/RfbpBWl8cGuD/h498dkl2bTumFrHu/9OFe0ucI3TpzmHz4a6gd+BTREt4V+o6DzlRDXXUJdHJfpAa+1ngXMAujVq5c2uRxhMmdhEdnvvkv2O+/gKimh4VVXETvifmzN3XtiUGvNhvQNLNy5kO8OfIdLuxiQMICbO91M77je5vev5+w31ivd/hkk/W5sa9wZzhtnrFvauJOEujgl0wNeCDCCPWfRQrLffgdnTg7hgwYR+9CDbh8ZU1heyNJ9S/noz4/Ymb2T8ECjG+b/Ov4fCeEmTiWgNRzeYEwVsHMppG8ztsd1h4GPG90vclWpOE2eHCa5CDgPiFFKJQETtdZzPbU/4Z+chYXk/Pe/ZL/zLs68PEL79SP2oQcJ6dbNrfvZlrmNj/78iKX7llLiKKF9ZHsmnDOBy1tfbl43jKMM9v0Mu76CXV9DQQooCyT2NYY0drwUolqbU5uoEzw5imaIpz5b+D9nfj7ZCxaQPW8+rvx8wgYMIOb+4YR07+62fRTZi/hq71cs/nMxO7J3EBIQwsUtL+a69tfRLaabOd0wJTmwezns/MpY1q68AGyh0HYgdLgM2l8k86oLt5EuGuFVzrw8sufNJ3vBAlwFBYQNHEjM8OFuWwdVa832rO0s3r2YpXuXUuwopl1kO8b3Hs/lrS8nPDDcLfs5jYIga48R6n9+Dft/MUa+hDWBbtcaod6qv0y/KzxCAl54hf3wYbLnzSfno4/QxcWED7qQmPvuI7hzZ7d8fmZJJl/t/Yole5awJ3cPwdZgLm5ltNa7x3T3bmvdXmIMYdy9zPjJ2W9sj+1ojFHveJlxZalM6CU8TAJeeFTprj/JfnsueV8tBa2JuOxSou+6i+AOtb9gqNxZzopDK/jsr8/4JfkXnNpJ99juTDhnAhe3upiIwIjaH0B15ew3Wum7lxnL2jlKISAEWg+Avg9A20EQ6b11X4UACXjhAVpritf8Ttbbcyla+TOqQQOibr6JqFtvrfVwx8oumCV7lrB031Lyy/NpHNKY27vczpVtr6R1Qy+dlHSUGfO8VIZ65p/G9shW0PN2aDcIWvSTrhdhKgl44Tau8nIKvv6a7PkLKN22DWt0NLEjHyLyxhtrvf7pwfyDLN23lK/3fc3evL0EWYMYmDiQq9tcTe+mvbFa3D9lwTG0hrRtsPdH+OtH44IjRwlYA6FlP+h1J7T7l8z5InyKBLyoNXtaOrkfvE/OBx/izMoisHVr4p58koaDr8YSFFTjz00rSuOb/d/w9b6v2ZZljAvv2aQnT3R+gotaXuT5Lpj8lKOBvncFFKUb22Paw1m3QpvzjROkge6fNkEId5CAFzWitaZk40ZyFvyX/GXLwOkkbMAAIm/5N6F9+9b4pGZuaS7LDizj631fsy5tHRpNp6hOPNzrYS5qeZFn54QpK4QDv1QE+o+QsdPY3iAGWp9nBHrr82W6XeE3JODFaXEVFZG3dCm5H3xI6datWMLDibr5ZiJvvonAGs4llF2azYpDK1h+YDmrD6/GoR20jGjJfWfcxyWtLqFlw5ZuPYYjyovg0BpjxMv+VZC8zpiRMSAYWvSFHjcZgd6kq4x4EX5JAl6cktaa0q3byP3wQ/K/+gpXcTGBbdsQN/EJGl55JZbQ0++iSC1K5fuD3/P9we9Zl7YOl3bRPKw5t3S+hUtaXULHqI7uH9p4okC3BBjDFvs+YLTUE86Rk6OiTpCAFyfkLCgg74svyP1oMWU7dqCCg4m45BIaXX89IWf2OO0APph/kO8Ofsf3B75nc+ZmANo0bMPQbkO5sMWFdIjs4N5QLys0Juo6YaA/aJwgTegNQWHu268QPkICXhxDO50U/baavM8/o2DZcnRpKUGdOhE38QkiLr8ca3j1rwR1uBxsztjMyqSV/JT0E3ty9wDQObozD531EAMTB7p3WGNeMhxaDQfXGC311C3GVaPKasyT3veBikA/RwJd1AsS8AKtNWU7d5L32efkf/UVjowMLBERNLzqKhpddx3BXbtUu2WdV5bHquRVrExayarkVeSX5xOgAjiryVk80usRLmxxIc3CmtW+aJfTGLZ4aA0cXG3c5h0yngsIgfhexnzpiX0gUQJd1E8S8PWYPTWV/C+/JO+zzynbvRtsNsL696fhlVcSdt6Aag1xdGkXf+b8yS/Jv7AyaSUbMzbi0i6igqM4L+E8+sf3p2+zvrWfA6Y4Gw6vh6S1RqAnrTUm6gIIi4PE3nDOcOM2rjv42kLYQphAAr6esR8+TP63yyj49ltKNm4EIKRHD+ImPkH4xRcTEBl5ys9ILUrlt8O/8VvKb6xJWUN2aTYAnaI6cXe3uxkQP4Au0V1qfvGRvQRSNht95pU/OfsqnlTGWqPdbzBa5gm9oVGiLH4hxHFIwNcD5UnJFHz7LfnLvqV0k3FyM6hTJ2JHjiTikosJbHHyOVKK7EX8kfrHkVDfl2eEbXRwNH2a9aFP0z6c0/QcmoQ2Of3iXE7I2HVsmKdtM/rOASKaG/3nPW+D5j2haQ8I9uIcM0L4MQn4Oki7XJRu30HhihUU/vgjpduMq0CDu3QhdvRoIi7610lDPb88nw1pG1iXto51aevYnrUdh3YQbA2mZ5OeXNvuWs5peg7tI9uf3qgXewmkbYfUTcYJ0JTNRpg7SozngxoaYd5vlBHmzc+CcB9Z7FoIPyQBX0e4iosp+u03I9RX/IQjIwOUIqRHDxo/PIbwiy4iMOH4S9Jll2azPm09a9PWsi5tHbuyd6HR2Cw2usV0446ud9C7aW96NO5BkLWaUw8UZxshnrr5aJhn/nm0ZR7UEJp2N+ZwaXqGEehRreWCIiHcSALeT2mXi7Lduyn69TeKfv2V4jVr0OXlWMLCCO3Xj7DzBhDWvz8BUceuDuRwOfgr9y82ZWxiS+YWNmVsOtLlEmwN5ozGZ3Bfj/vo1aQX3WK6ERxwigt+7CVGF0vGTkjfDuk7jJ/KES0A4c2MMO90BcR1M+43aiH95kJ4mAS8H7EfPkzRb78Zob56Nc6sLAACW7UicsiNhJ13Hg169kQFBh55T0ZxBpszNrM5czObMzazLWsbJRVdIlHBUXSL6cZVba6iZ5OedInugu1Eo0+cdmNlovTtkF4lzHP2gXYZr7EGGhNxJfSGs+8yRrM0PQNCYzz65yKEOD4JeB+ltaZ8/35K1q+neP16iteuxX7gIADWmBhC+/YltE8fQvucg61pU7TWpBSlsDrlZ3Zk72Bn9k52ZO8gvdiYATHAEkCnqE5c0+4ausV0o3tsd+LD4o/tQ9caCtMhc7cR5lm7IXOPcT9nn3EVKBgLQ0e3NUazdLseGneCxp2NLhar/EoJ4SvkX6OPcJWXU7ZzJ8Xr11Oyzgj1yha6tWFDQs46i6ibbqJBnz6o1i3Yn7+fDbm72Zn0Hjs3G2GeX54PgEVZaBXRirPjzqZzVGfOaHwGHaM6Gv3nWhsLP+cegAN/VAT5nopQ/wvK8o4WZQ0y5jdv3NHoXmncyfiJbidztZjI7nRR5nBRandW/LiwO104nBq7y4Xd4cLh0ke2OVwu7FVvncZzdqfxOofz6PPGc5WvNR47tUZrcGmN03XsfZc2GiMurXFWvV/luWNfZxxDZbtCVTyobGYoZWyrbHioI9uOvqFym0UprBZFgEVhtViMW2vl46PbrRYIsFiqbKvyHqvCZlUEWi0EBlgJDLAYP1YLQQHGT2DVH+vR+0HWo6+3Wnyzu1EC3gS6vJyyPXso2bqV0q3bKN26ldLdu8FuB8CWkEBYv37YzuxOVvvG7I4o4a/8fezN28Bf2xZzcPVBXBXdIoGWQNpFtmNQi0F0ju5Mx6iOtAtLJKQw3QjxnP2w/kPjNvcA5Bw8NsQBGiYYQd79BqNlHtPWCPGG8eDphTT8nN3pOhKyZQ7jttTuPHK/6rYjtw4nZXbX0duKoD4a2sZzpXYXZcdsd1LqcOGsTEk3qww+m7Uy+IzQrAxSS0WoWqreVwqLxbivlML69+0WC0EBR99TNQY1Rnuj8mi01hW3lc8b/5n8z+OK1zicLpwV/4E4nBW3LlfFrT721mlsr3y93eneP8MAiyLEZiU40EqwzUKIzWo8tlkJCbQSHFBxW7E9JNBy5Plgm5WIEBtXnuGGK7z/XpfbP1EcobXGkZ5B2e7dlO3Zbdzu+pOyXbvQFWFuiYiAjm0ovvYCUhNC+bO54s+ATA7mbyGp8GtcW4wgtyoriRGJtG3Ymn/F9aGtLYI2OoBW9nJsBWmQtA+2/2Kc3CxIObaQgGDjpGZkC2MelsiWxv3IlhDVBgIbePcPxkOqhm3VwPx7yB7zuEoQVw3b0qoBXCVsjwniWoZtYICF4AALwTYrQTYLwQGV/+AthAUFEB1qIchmrdhuOfJcUNXHAcZ7A60WAiqCObAimAOsFmxWRYCl4rZiu8169HHl8wEWI4TrE5er4huPU1PucB39cRp/x2VVtzlclDuP3i9zGr8PVbeV2l2UVPyOlJQ7KbEbPzlF5Uful5Qbvzslducxvzux4UES8L7KVVqK/dAhyg8dovzAQcr376dszx7Kdu/GlZ9/5HWORmEUxkeSdmFb9jTRbIjOZ2tgBi62AFsAaJAZTGJQFB0Cwri0YTfauBRtykppUZhN4F+7ofDnoyc1KwWEQEQzYyGK1udXBHjLoyEe2tirww+1NlpOx4btiVu0RwPzBEF6JGQrtx19Tanj6Ge4K2yDbVaCAix/C9vjhGtFKAf9LWyP9xmV4V25LSjAUu8C1ddYLIogi5WgAKDmC4/VmN1Z8R9CufEfhSd4NOCVUhcDrwBWYI7W+llP7s8TtNa4CgpwpKVhT03DkZaKPS2N0uQkSvbvxZGUjErPOuY9ZSEBpDUJZH97F7sjLRyKhUOxioIGpUAKjZSNeGUjwQl9yiwklhSQWJxPgt1BlMt1zNdYgiIgrIkR3m3ON4I8ohlExB+9HxJ53CGHWmujJVLqpMxRXqVFe/T278FbVjVEHc4TvKfK/Sq3pY6jLeDa9CL8PWwrAzUo4NiwPVGIVgZx1bANDqhoDf/tdcE2K4FWCVvhfcY3KQsRwZ6bN8ljAa+UsgJvAIOAJOAPpdTnWuvtntrnyWinE1dJCfbCfErycygtyKWsIJvynAzsWRnYc7Jx5mTjzM3FlZsPBcVY84oJyi3FVv6//7vmhkJqJKQ1VqR2sJAaCamRisKGLhrY7DR1lBDndNLG4eBch5O4PAdNs5w0droICAinPLARJUExFNsSKA6LorBRFJsCosi3RpJnjSTPEkmOakSJth35GmgvcGHP1VW+LuZhd+Zgr3zeqSu+VhphW+6oXasgwKKOhGhlkAZWaYE2DLERHB5E0JGgrdKirRq2xwSx9YQtZQlbIdzLky34fwB7tNZ7AZRS7wNXAW4P+O/6d8JmB4vL+FHauLVW3AY4IdBx4vdbML6hOSyQ3wAKQyA/RFEYBYUJmtIwTXmoxhHqQjVwYg1WhGorDZxWQpw2OjiC6OwMxlUSRnFROLk6jFxCydFh7CeMXB1KLmHk6jAKaICLk3eXGGfqHdisWdisR8/eV963WRWBARbCgwOOnNW3HXleHWm9VnYnBAUc2zVQ9X5l/2/V1wZX6dMVQvgvTwZ8c6DK5YwkAb3//iKl1DBgGEBiDdf0zI8OBJcGBS6LQlsUWhm3KHBZLdgDLbhsFrQtAFdgAC5bIK7AQHRQMI4GDXA1CEcHhRJgDSNQhRNoDccWEEojWwOctlBcAaE4bWFgC8FqtRJgPc4QLYuioUURb1EVz1v+NizLOKFVObTq6PCsowFtsyr3L1UnhKiXPBnwx0up/+mZ1VrPAmYB9OrVq0Y9t9d8uqkmbxNCiDrNk9/Bk4Cqs1vFA4c9uD8hhBBVeDLg/wDaKaVaKaUCgRuBzz24PyGEEFV4rItGa+1QSo0AvsUYJvm21nqbp/YnhBDiWB4dB6+1Xgos9eQ+hBBCHJ+MgxNCiDpKAl4IIeooCXghhKijJOCFEKKOUpVzMPsCpVQGcKCGb48BMt1Yjj+QY6776tvxghzz6WqhtY493hM+FfC1oZRaq7XuZXYd3iTHXPfVt+MFOWZ3ki4aIYSooyTghRCijqpLAT/L7AJMIMdc99W34wU5ZrepM33wQgghjlWXWvBCCCGqkIAXQog6yq8CXil1sVJql1Jqj1Jq3HGeV0qpVyue36yUOsuMOt2pGsd8c8WxblZK/aqUOsOMOt3pVMdc5XVnK6WcSqnrvFmfJ1TnmJVS5ymlNiqltimlfvJ2je5Wjd/thkqpL5RSmyqO+Q4z6nQXpdTbSql0pdTWEzzv/vzSWvvFD8aUw38BrYFAYBPQ+W+vuRT4GmM1qXOANWbX7YVj7gtEVty/pD4cc5XX/YAxW+l1Ztfthb/nRhjrGSdWPG5sdt1eOObxwLSK+7FANhBodu21OOb+wFnA1hM87/b88qcW/JFFvLXW5UDlIt5VXQXM14bVQCOlVFNvF+pGpzxmrfWvWuucioerMVbO8mfV+XsGeAD4GEj3ZnEeUp1jvgn4RGt9EEBr7e/HXZ1j1kC4MhYpDsMIeId3y3QfrfVKjGM4Ebfnlz8F/PEW8W5eg9f4k9M9nrswWgD+7JTHrJRqDgwGZnqxLk+qzt9zeyBSKbVCKbVOKXWr16rzjOoc8+tAJ4ylPrcAD2mtXd4pzxRuzy+PLvjhZtVZxLtaC337kWofj1LqfIyA7+fRijyvOsf8MvCo1tppNO78XnWOOQDoCVwAhAC/KaVWa63/9HRxHlKdY74I2AgMBNoAy5VSP2ut8z1cm1ncnl/+FPDVWcS7ri30Xa3jUUp1B+YAl2its7xUm6dU55h7Ae9XhHsMcKlSyqG1XuKVCt2vur/bmVrrIqBIKbUSOAPw14CvzjHfATyrjQ7qPUqpfUBH4HfvlOh1bs8vf+qiqc4i3p8Dt1acjT4HyNNap3i7UDc65TErpRKBT4Bb/Lg1V9Upj1lr3Upr3VJr3RJYDAz343CH6v1ufwb8UykVoJRqAPQGdni5TneqzjEfxPjGglKqCdAB2OvVKr3L7fnlNy14fYJFvJVS91Y8PxNjRMWlwB6gGKMF4LeqecxPANHAjIoWrUP78Ux81TzmOqU6x6y13qGU+gbYDLiAOVrr4w638wfV/HueDLyrlNqC0X3xqNbab6cRVkotAs4DYpRSScBEwAaeyy+ZqkAIIeoof+qiEUIIcRok4IUQoo6SgBdCiDpKAl4IIeooCXghhKijJOBFnaSUaqSUGl7lcTOl1GIP7etqpdQTp3jN80qpgZ7YvxAnIsMkRZ2klGoJfKm17uqFff0KXHmyMdpKqRbAbK31vzxdjxCVpAUv6qpngTYV86dPV0q1rJyHWyl1u1JqScVc4/uUUiOUUqOVUhuUUquVUlEVr2ujlPqmYnKvn5VSHf++E6VUe6BMa52plAqv+DxbxXMRSqn9Simb1voAEK2UivPin4Go5yTgRV01DvhLa91Da/3IcZ7vijEF7z+AKUCx1vpM4DegcqbGWcADWuuewMPAjON8zrnAegCtdQGwAris4rkbgY+11vaKx+srXi+EV/jNVAVCuNmPFYFcoJTKA76o2L4F6K6UCsNYTOWjKjNWBh3nc5oCGVUezwHGAkswLjUfWuW5dKCZuw5AiFORgBf1VVmV+64qj10Y/y4sQK7WuscpPqcEaFj5QGv9S0V30ADA+rf5YoIrXi+EV0gXjairCoDwmr65Ys7xfUqp6+HIepnHW+92B9D2b9vmA4uAd/62vT3gtxOECf8jAS/qpIp58X9RSm1VSk2v4cfcDNyllNoEbOP4SweuBM5Ux6488h4QiRHyAFSceG0LrK1hLUKcNhkmKUQtKaVeAb7QWn9X8fg64Cqt9S1VXjMYOEtrPcGkMkU9JH3wQtTeVIwFOFBKvQZcgjGvd1UBwAterkvUc9KCF0KIOkr64IUQoo6SgBdCiDpKAl4IIeooCXghhKijJOCFEKKO+n84kyOxbw1iOgAAAABJRU5ErkJggg==\n", 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mzJnDqFGjmDNnDk1NTQBceeWVLFu2jEsuuYQxY8YwZsyYJK8HVjbeYt/U2NgYCxYs6O4yzKzGLVmyhH322ae7y6iKYscm6eGIaGzd1j0UMzNLwoFiZmZJOFDMzCwJB4qZmSXhQDEzsyQcKGZmloQDxcysFyhn+Prf//737zx/sv/++3PrrbcmqcGBYmbWC5QzfP2+++7LggULWLhwIXfccQdf/OIX2bhxY6drcKCYmfUC5Qxfv80227DlltlQjhs2bEBSkho8OKSZWUKX/f4y/vT8n5Juc+/t92bKwVPKXq+94esffPBBzjzzTFauXMlPf/rTdwKmM9xDMTPrgw455BAWL17MQw89xKWXXsqGDRs6vU33UMzMEqqkJ1Et7Q1fv8k+++zDgAEDeOyxx2hsfNfwXGVxD8XMrJdqa/j6FStWvHMRfuXKlSxdupSGhoZO7889FDOzXmDixInMnz+ftWvXUl9fz0UXXURTUxMnn3wy119/PSNGjOCmm24C4Le//S1Tp06lf//+bLHFFlx99dUMGTKk0zV4+HoPX29mneTh6zM+5WVmZkk4UMzMLIkeFSiSjpW0VNIySU1FlkvSFfnyRyUdmM/fVdJvJC2RtFjSV7u+ejOzvq3HBIqkfsBVwHhgNDBR0uhWzcYDo/Kfs4F/y+dvBL4eEfsAhwJ/V2RdMzOroh4TKMDBwLKIWB4RbwAzgAmt2kwApkfmAWCwpGER0RIRfwCIiJeBJcAuXVm8mVlf15MCZRdgVcF0M+8OhQ7bSGoADgAeTF+imZm1pScFSrHRyVrf09xuG0kDgVuAf4iIl4ruRDpb0gJJC9asWVNxsWZmPUk5w9dv8vTTTzNw4EAuv/zyJDV0GCiSRpT4895O1tIM7FowXQ+sLrWNpP5kYfLziPhlWzuJiGsjojEiGocOHdrJks3MeoZyhq/f5Nxzz2X8+PHJaijlSflpZL2A9sY3DuAnwPRO1PIQMErSSODPwCnAp1u1mQVMkjQDOAR4MSJalI29fD2wJCL+XydqMDOrSWPHjuWpp57abN5tt93G/PnzgWz4+iOPPJLLLrsMgJkzZ7L77rszYMCAZDV0GCgRcVTreZJ2johnklWR7WejpEnAnUA/4IaIWCzpnHz5NcBs4DhgGfAacEa++oeAU4FFkhbm886PiNkpazQz68gz3/sery9JO3z91vvszc7nn1/2em0NX//qq69y2WWXMWfOnGSnu6Dysbw+B/xzsipyeQDMbjXvmoLPAfxdkfV+S/s9KDMzy11wwQWce+65DBw4MOl2Kw2UCZJeA+ZExNKUBZmZ1bJKehLV0tbw9Q8++CA333wzkydPZv369WyxxRbU1dUxadKkTu2v0kD5P2S35p4kac+I+HynqjAzs+Q2DV/f1NS02fD199577zttLrzwQgYOHNjpMIEKAyUingXuyH/MzKyblTN8fbVUFCiSrgIGRMTpkj4SEXclrsvMzMpw4403Fp0/d+7cdte78MILk9VQ6YONbwDL889HJ6rFzMxqWKWB8hqwbf4w4YiE9ZiZWY2q9KL888BfyEYHvi9dOWZmtSkiyJ6x7j3KfaNvWT0USYMl/QfwiXzWdOBdr4E0M+tL6urqWLduXdlfwD1ZRLBu3Trq6upKXqesHkpErJc0FWgA1gIfANocN8vMrC+or6+nubmZ3jbgbF1dHfX19SW3r+SU11nAioi4E3i4gvXNzHqV/v37M3LkyO4uo9tVEigvAOdIeh/wCLAwIv6YtiwzM6s1ZQdKRFwqaS7wP8AYYCzgQDEz6+PKDhRJF5ONBryQrHcyP3FNZmZWgyrpoXxb0k5kY3l9QtIeEfGF9KWZmVktqfQ5lC8C/x4RHsvLzMyAygPlBuBLkgaQvXJ3YbqSzMysFlU69Mrfk4XRlsAV6coxM7NaVWmgPAnUAbdFxNiE9ZiZWY2qNFAWA/OAsyQ9lLAeMzOrUZVeQ9kLWANcS/ago5mZ9XGV9lD2JnuY8Tzg7HTlmJlZrao0UAYDU4DJwIZk1ZiZWc2q9JTXxcDeEbFU0tspCzIzs9pUUg9FUj9JLZI+DxARzRFxd/65qZoFmplZbSgpUCLiLeAxYI/qlmNmZrWqnFNe2wCTJY0DVufzIiImpC/LzMxqTTmBclj+54H5D0Dved+lmZl1SjmB4teRmZlZm0oOlIhYWc1CzMystlX6HIqZmdlmHChmZpZE2YEi6YRqFJJv+1hJSyUtk/Su51uUuSJf/qikA0td18zMqquSHsp3k1dB9vAkcBUwHhgNTJQ0ulWz8cCo/Ods4N/KWNfMzKqokqFXlLyKzMHAsohYDiBpBjABeLygzQRgekQE8ICkwZKGAQ0lrJvMf513Ilv/aUU1Nm1m1iW2/ewZHHXK15Jus5JAqdazJ7sAqwqmm4FDSmizS4nrAiDpbPIRkkeMGFFRofHierZ9YWNF65qZ9QSvv5z+zSOVDg5ZDcV6Pq3Dq602paybzYy4luw9LjQ2NlYUjqdcd08lq5mZ9Wo9KVCagV0Lpuv56xAvHbXZqoR1zcysiiq5KP9s8ioyDwGjJI2UtBVwCjCrVZtZwOfyu70OBV6MiJYS1zUzsyoqu4cSEeOqUUhEbJQ0CbgT6AfcEBGLJZ2TL78GmA0cBywDXgPOaG/datRpZmbFKbthqm9qbGyMBQsWdHcZZmY1RdLDEdHYer6flDczsyQqChRJXyv4/L505ZiZWa0q6xqKpMHAD4G9JW0AHgXOIr+WYWZmfVdZgRIR64EzJB0PPAN8BPhlFeoyM7MaU+k1lCPIbh8+FKjKXV9mZlZbKg2UwcAUYDKwIVk1ZmZWsyp9Uv5iYO+IWCrp7ZQFmZlZbaooUCKimWwYFCLC7x4xM7OKbxu+StJP8s8fSVqRmZnVpEqvobwBLM8/H52oFjMzq2GVBsprwLaS+gOVvVTEzMx6lUovyj8P/IXstbv3pSvHzMxqVVk9lPyVu/8BfCKfNR141wBhZmbW95T9pLykqWTvcF8LfAA/KW9mZlR2yussYEVE3Ak8nLgeMzOrUZUEygvAOfkow48ACyPij2nLMjOzWlPJGxsvlTQX+B9gDDAWcKCYmfVxZQeKpIvJXrO7kKx3Mj9xTWZmVoPKfg4lIr4NvJ6v+wlJ1yWvyszMak6lDzbeAOwD7ABcna4cMzOrVZUGyt+TnS7bEviXdOWYmVmtqjRQngTqgNsiYmzCeszMrEZVGiiLgXnAWZIeSliPmZnVqErH8tqD7HmUa/M/zcysj6s0UFZFxDxJw4DnUhZkZma1qdJTXsdKqgeuAX6YsB4zM6tRlQbKYGAKMJnsmRQzM+vjKj3ldTGwd0QslfRWyoLMzKw2ldRDkdRPUoukzwNERHNE3J1/bqpmgWZmVhtKCpSIeAt4jOzuLjMzs3cp5xrKNsBkSQskzcp/bktRhKTtJc2R9ET+53ZttDtW0lJJyyQ1Fcz/vqQ/SXpU0q2SBqeoy8zMSldOoBwGCDgQ+FjBTwpNwNyIGAXMzac3I6kf2TvsxwOjgYmSRueL5wD7RsQHyIbV/0aiuszMrETlXJQfWbUqYAJwZP55GjCf7C6yQgcDyyJiOYCkGfl6j0fEXQXtHgA+WcVazcysiA4DRdKI/GN0sHx9RLxUYR07RUQLQES0SNqxSJtdgFUF083AIUXanQn8V4V1mJlZhUrpoUwjCxO10yaAnwDT22og6W5g5yKLvllCDbSx/81CTtI3gY3Az9up42zgbIARI0a01czMzMrUYaBExFEpdhQRH25rmaRnJQ3LeydtDefSDOxaMF0PrC7Yxmlk13SOiYiivam8jmvJxiCjsbGxzXZmZlaeSp+UT20WcFr++TSg2N1jDwGjJI2UtBVwSr4eko4lu+ZyYkS81gX1mplZKz0lUKYC4yQ9AYzLp5E0XNJsgIjYCEwC7gSWAL+IiMX5+lcCg4A5khZKuqarD8DMrK+rdOiVpCJiHXBMkfmrgeMKpmcDs4u027OqBZqZWYd6Sg/FzMxqnAPFzMyScKCYmVkSDhQzM0vCgWJmZkk4UMzMLAkHipmZJeFAMTOzJBwoZmaWhAPFzMyScKCYmVkSDhQzM0vCgWJmZkk4UMzMLAkHipmZJeFAMTOzJBwoZmaWhAPFzMyScKCYmVkSDhQzM0vCgWJmZkk4UMzMLAkHipmZJeFAMTOzJBwoZmaWhAPFzMyScKCYmVkSDhQzM0vCgWJmZkk4UMzMLAkHipmZJdEjAkXS9pLmSHoi/3O7NtodK2mppGWSmoosP09SSBpS/arNzKxQjwgUoAmYGxGjgLn59GYk9QOuAsYDo4GJkkYXLN8VGAc83SUVm5nZZnpKoEwApuWfpwEfL9LmYGBZRCyPiDeAGfl6m/wQmAxEFes0M7M29JRA2SkiWgDyP3cs0mYXYFXBdHM+D0knAn+OiEc62pGksyUtkLRgzZo1na/czMwA2LKrdiTpbmDnIou+WeomiswLSdvk2/hIKRuJiGuBawEaGxvdmzEzS6TLAiUiPtzWMknPShoWES2ShgHPFWnWDOxaMF0PrAb2AEYCj0jaNP8Pkg6OiGeSHYCZmbWrp5zymgWcln8+DbitSJuHgFGSRkraCjgFmBURiyJix4hoiIgGsuA50GFiZta1ekqgTAXGSXqC7E6tqQCShkuaDRARG4FJwJ3AEuAXEbG4m+o1M7NWuuyUV3siYh1wTJH5q4HjCqZnA7M72FZD6vrMzKxjPaWHYmZmNc6BYmZmSThQzMwsCQeKmZkl4UAxM7MkHChmZpaEA8XMzJJwoJiZWRIOFDMzS8KBYmZmSThQzMwsCQeKmZkl4UAxM7MkHChmZpaEA8XMzJJwoJiZWRIOFDMzS8KBYmZmSThQzMwsCQeKmZkl4UAxM7MkHChmZpaEA8XMzJJwoJiZWRKKiO6uodtIWgOsrHD1IcDahOXUAh9z3+Bj7hs6c8y7RcTQ1jP7dKB0hqQFEdHY3XV0JR9z3+Bj7huqccw+5WVmZkk4UMzMLAkHSuWu7e4CuoGPuW/wMfcNyY/Z11DMzCwJ91DMzCwJB4qZmSXhQOmApGMlLZW0TFJTkeWSdEW+/FFJB3ZHnSmVcMyfyY/1UUn3S9q/O+pMqaNjLmj3N5LekvTJrqwvtVKOV9KRkhZKWizp/3d1jamV8N/1tpJul/RIfsxndEedKUm6QdJzkh5rY3na76+I8E8bP0A/4Elgd2Ar4BFgdKs2xwG/BgQcCjzY3XV3wTF/ENgu/zy+LxxzQbt5wGzgk91dd5X/jQcDjwMj8ukdu7vuLjjm84HL8s9DgeeBrbq79k4e91jgQOCxNpYn/f5yD6V9BwPLImJ5RLwBzAAmtGozAZgemQeAwZKGdXWhCXV4zBFxf0S8kE8+ANR3cY2plfLvDPAV4Bbgua4srgpKOd5PA7+MiKcBIqIvHHMAgyQJGEgWKBu7tsy0IuIesuNoS9LvLwdK+3YBVhVMN+fzym1TS8o9nrPIfsOpZR0es6RdgJOAa7qwrmop5d94L2A7SfMlPSzpc11WXXWUcsxXAvsAq4FFwFcj4u2uKa/bJP3+2rLT5fRuKjKv9X3WpbSpJSUfj6SjyALl8KpWVH2lHPOPgCkR8Vb2C2xNK+V4twQOAo4B3gP8TtIDEfE/1S6uSko55o8CC4GjgT2AOZLujYiXqlxbd0r6/eVAaV8zsGvBdD3Zby/ltqklJR2PpA8APwbGR8S6LqqtWko55kZgRh4mQ4DjJG2MiJldUmFapf53vTYiXgVelXQPsD9Qq4FSyjGfAUyN7OLCMkkrgL2B33dNid0i6feXT3m17yFglKSRkrYCTgFmtWozC/hcfrfEocCLEdHS1YUm1OExSxoB/BI4tYZ/Yy3U4TFHxMiIaIiIBuBm4Ms1GiZQ2n/XtwF/K2lLSdsAhwBLurjOlEo55qfJemRI2gl4H7C8S6vsekm/v9xDaUdEbJQ0CbiT7C6RGyJisaRz8uXXkN3xcxywDHiN7LecmlXiMX8b2AG4Ov+NfWPU8EitJR5zr1HK8UbEEkl3AI8CbwM/joiit57WghL/jS8BfiJpEdmpoCkRUdND2ku6ETgSGCKpGbgA6A/V+f7y0CtmZpaET3mZmVkSDhQzM0vCgWJmZkk4UMzMLAkHipmZJeFAMUtE0mBJXy6YHi7p5irt6+OSvt1Bm8slHV2N/ZsV49uGzRKR1AD8KiL27YJ93Q+c2N5zEpJ2A66LiI9Uux4zcA/FLKWpwB75O0S+L6lh03soJJ0uaWb+vo0VkiZJ+pqkP0p6QNL2ebs9JN2RD8h4r6S9W+9E0l7A6xGxVtKgfHv982XvlfSUpP4RsRLYQdLOXfh3YH2YA8UsnSbgyYgYExH/WGT5vmTDwh8MfBd4LSIOAH4HbBrN91rgKxFxEHAecHWR7XwI+ANARLwMzAeOz5edAtwSEW/m03/I25tVnYdeMes6v8kD4GVJLwK35/MXAR+QNJDs5WU3FYxovHWR7QwD1hRM/xiYDMwkGzrjCwXLngOGpzoAs/Y4UMy6zusFn98umH6b7P/FLYD1ETGmg+38Bdh200RE3JefXjsC6NdqzK26vL1Z1fmUl1k6LwODKl05f+/GCkmfgnfe971/kaZLgD1bzZsO3Aj8R6v5ewE1O6ij1RYHilki+Xth7pP0mKTvV7iZzwBnSXoEWEzxVxHfAxygzd/09XNgO7JQASC/UL8nsKDCWszK4tuGzWqQpH8Bbo+Iu/PpTwITIuLUgjYnAQdGxD91U5nWx/gaillt+h7ZS6+Q9K/AeLL3WhTaEvhBF9dlfZh7KGZmloSvoZiZWRIOFDMzS8KBYmZmSThQzMwsCQeKmZkl8b+j0m08j6dtgAAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] @@ -149,8 +139,11 @@ } ], "source": [ - "tpdiff['dr'].plot.line(x=\"time (y)\")\n", - "print()" + "fig, ax = plt.subplots()\n", + "swiftdiff['dr'].sel(id=tpidx).plot.line(x=\"time (y)\", ax=ax)\n", + "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n", + "ax.set_title(\"Helio integrator \\n Test Particles only\")\n", + "fig.savefig(\"helio_swifter_comparison-tp-rmag.png\", facecolor='white', transparent=False, dpi=300)" ] }, { @@ -158,16 +151,9 @@ "execution_count": 10, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -179,8 +165,11 @@ } ], "source": [ - "pldiff['dv'].plot.line(x=\"time (y)\")\n", - "print()" + "fig, ax = plt.subplots()\n", + "swiftdiff['dv'].sel(id=plidx).plot.line(x=\"time (y)\", ax=ax)\n", + "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n", + "ax.set_title(\"Helio integrator \\n Planets only\")\n", + "fig.savefig(\"helio_swifter_comparison-pl-vmag.png\", facecolor='white', transparent=False, dpi=300)" ] }, { @@ -188,16 +177,9 @@ "execution_count": 11, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, { "data": { - "image/png": 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\n", 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" ] @@ -209,509 +191,11 @@ } ], "source": [ - "tpdiff['dv'].plot.line(x=\"time (y)\")\n", - "print()" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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-       "    vz        (time (y), id) float64 0.0 0.0 0.0 0.0 ... -0.768 0.8964 0.4534\n",
-       "    dr        (time (y), id) float64 0.0 0.0 0.0 0.0 ... 2.448 4.194 6.107\n",
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Arguments class(helio_pl), intent(inout) :: self !! Helio massive body object - class(helio_cb), intent(in) :: cb !! Helio central bod + class(helio_cb), intent(inout) :: cb !! Helio central bod real(DP), intent(in) :: dt !! Stepsize logical, intent(in) :: lbeg !! Argument that determines whether or not this is the beginning or end of the step ! Internals real(DP), dimension(NDIM) :: pt !! negative barycentric velocity of the central body associate(pl => self, npl => self%nbody) - if (lbeg) then - pt(:) = cb%ptbeg - else - pt(:) = cb%ptend - end if pt(1) = sum(pl%Gmass(1:npl) * pl%vb(1,1:npl)) pt(2) = sum(pl%Gmass(1:npl) * pl%vb(2,1:npl)) pt(3) = sum(pl%Gmass(1:npl) * pl%vb(3,1:npl)) @@ -87,6 +82,12 @@ module subroutine helio_drift_linear_pl(self, cb, dt, lbeg) pl%xh(1,1:npl) = pl%xh(1,1:npl) + pt(1) * dt pl%xh(2,1:npl) = pl%xh(2,1:npl) + pt(2) * dt pl%xh(3,1:npl) = pl%xh(3,1:npl) + pt(3) * dt + + if (lbeg) then + cb%ptbeg = pt(:) + else + cb%ptend = pt(:) + end if end associate return @@ -130,8 +131,8 @@ module subroutine helio_drift_tp(self, system, param, dt) dtp(:) = dt end if call drift_one(mu(1:ntp), tp%xh(1,1:ntp), tp%xh(2,1:ntp), tp%xh(3,1:ntp), & - tp%vh(1,1:ntp), tp%vh(2,1:ntp), tp%vh(3,1:ntp), & - dtp(1:ntp), iflag(1:ntp)) + tp%vb(1,1:ntp), tp%vb(2,1:ntp), tp%vb(3,1:ntp), & + dtp(1:ntp), iflag(1:ntp)) if (any(iflag(1:ntp) /= 0)) then tp%status = DISCARDED_DRIFTERR do i = 1, ntp diff --git a/src/modules/helio_classes.f90 b/src/modules/helio_classes.f90 index c95b54397..d97a1608c 100644 --- a/src/modules/helio_classes.f90 +++ b/src/modules/helio_classes.f90 @@ -90,7 +90,7 @@ module subroutine helio_drift_pl(self, system, param, dt) use swiftest_classes, only : swiftest_nbody_system, swiftest_parameters implicit none class(helio_pl), intent(inout) :: self !! Helio massive body object - class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: dt !! Stepsize end subroutine helio_drift_pl @@ -99,7 +99,7 @@ module subroutine helio_drift_tp(self, system, param, dt) use swiftest_classes, only : swiftest_nbody_system, swiftest_parameters implicit none class(helio_tp), intent(inout) :: self !! Helio test particle object - class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: dt !! Stepsize end subroutine helio_drift_tp @@ -107,7 +107,7 @@ end subroutine helio_drift_tp module subroutine helio_drift_linear_pl(self, cb, dt, lbeg) implicit none class(helio_pl), intent(inout) :: self !! Helio massive body object - class(helio_cb), intent(in) :: cb !! Helio central body object + class(helio_cb), intent(inout) :: cb !! Helio central body object real(DP), intent(in) :: dt !! Stepsize logical, intent(in) :: lbeg !! Argument that determines whether or not this is the beginning or end of the step end subroutine helio_drift_linear_pl @@ -124,7 +124,7 @@ module subroutine helio_getacch_pl(self, system, param, t, lbeg) use swiftest_classes, only : swiftest_parameters, swiftest_nbody_system implicit none class(helio_pl), intent(inout) :: self !! Helio massive body object - class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: t !! Current simulation time logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step @@ -134,7 +134,7 @@ module subroutine helio_getacch_tp(self, system, param, t, lbeg) use swiftest_classes, only : swiftest_parameters, swiftest_nbody_system implicit none class(helio_tp), intent(inout) :: self !! Helio test particle object - class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters real(DP), intent(in) :: t !! Current time logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step