diff --git a/docs/monolayer.ipynb b/docs/monolayer.ipynb index 9d502efa..3df1183e 100644 --- a/docs/monolayer.ipynb +++ b/docs/monolayer.ipynb @@ -22,7 +22,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "619bb767-475a-408b-b576-552f0bc4f2a7", "metadata": {}, "outputs": [], @@ -51,19 +51,10 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "id": "054b64e7-1417-485e-925b-d2dbe1fa0919", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EasyReflectometry: 0.0.2\n", - "refnx: 0.1.41\n" - ] - } - ], + "outputs": [], "source": [ "print(f'EasyReflectometry: {EasyReflectometry.__version__}')\n", "print(f'refnx: {refnx.__version__}')" @@ -83,21 +74,10 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "e392660e-6f02-4f0b-be86-4c8ea78883e0", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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2n8eji7gmLBGRMYzqFpbJqnNy3Wet1jqgKTg4GB4eHpDJZPDy8sL+/fv1fq89dgvXVbubuC52ERMRmalb2JDkZC2OHDmC5s2bWzoMq1TTTbz9TDY+2H5eY5tSFHEy8x68m7PgPxGRvoxKroMHD5Y6DrIwf4UrRvXwx8Id5zVGEgsA/rYhBSqx+vtF4zmSmIioIUYX7s/Pz8fSpUsxdepUTJ06FR9//DEKCgoMPs6hQ4cwevRoBAQEQBAEbN68WWufhIQEBAcHw8XFBZGRkUhOTjboHIIgYPDgwQgPD8c333xjcIxNRU3ZRPnv3f0yVI8krkm2IoC5m86y4D8RUQOMunM9ceIEhg8fDldXV0RERAAAli1bhg8//BB79uxB79699T5WSUkJevbsicmTJ2PcuHFa2zdu3Ii4uDisWrUKkZGRWL58OYYPH44LFy6oV+MJCwtDVVWV1nv37NmDgIAAHD58GK1bt0Z2djaio6PRvXt39OjRQ2c85eXlKC8vV79uagO0GhpJrAKw//wtBLdsxm5iIqJ6GDWgaeDAgQgJCcHq1avh4FCdn6uqqjB16lRcuXIFhw4dMi4YQcAPP/ygsUhAZGQkwsPD8cknnwAAVCoVAgMD8dprr2HOnDkGn+ONN95A165dMXHiRJ3b3333Xbz33nta7fY8oKk+2QVleHTRvnpX12HBCSJqKsyynuuJEycwe/ZsdWIFAAcHB8yaNQsnTpww5pA6VVRU4OTJk4iOjla3yWQyREdH4+jRo3odo6SkBEVFRQCA4uJi7Nu3D127dq13/7lz56KgoED9lZWV1bgPYcPqdhPXnbHDdWGJiHQzqlvYw8MD165d06rQlJWVBXd37dq1xsrLy4NSqYSvr69Gu6+vL3777Te9jpGbm4unnnoKAKBUKjFt2jSEh4fXu7+zszOcnZ2ND9rO6FNwguvCEhFpMiq5xsTEYMqUKViyZAn69+8PAPj555/xxhtv4LnnnpM0wMZq3749Tp8+bekwbJq/whX+CldkF5Rp1SWWAQj2cUN2QRky8jhdh4gIMDK5LlmyBIIg4M9//rN6IJGjoyNeeeUVLFq0SLLgfHx8IJfLkZubq9Gem5sLPz8/yc6jS0JCAhISEqyuIIYl6VqEPX589+q1YhPPQiXyOSwREdDI9VxLS0tx+fJlAECHDh3g5ubWuGDqGdAUERGBlStXAqge0BQUFITp06cbNaDJUE2hQpOhai/CDgBR8fs0tssA/BDbHyUVSt7JEpFdMEuFphpubm7o3r17Yw6B4uJiXLp0Sf06IyMDqamp8Pb2RlBQEOLi4jBhwgT07dsXERERWL58OUpKSjBp0qRGnZeMV9NNDABHLmsv4KACMCaheq1f3skSUVOkd3IdN24c1q9fDw8PD53zUWtLTEzUO4ATJ05g6NCh6tdxcXEAgAkTJmD9+vWIiYnB7du3MW/ePOTk5CAsLAy7du3SGuREltHOp5nOZetq1IwoHtSpJe9giajJ0Du5KhQKdaF+hUIhWQBDhgxBQz3T06dPx/Tp0yU7J0nHX+GKReO7P3R9WI4oJqKmplHPXO1Z7QFNFy9e5DPXBtQ8h3VzkuGpfx3RGlH889w/MLkSkc0y9JmrUcm1rKwMoiiqBzBdvXoVP/zwA0JDQ/H4448bHrUV44Amw9Vewq5mRHFMeBCn6xCRzTLLgKYxY8Zg3LhxePnll5Gfn4+IiAg4OTkhLy8Py5YtwyuvvGLMYclO1C48EezjBn+FKz4/eBkLdz4o/LGYCZeI7JhRd64+Pj44ePAgunbtijVr1mDlypVISUnBpk2bMG/ePJw/f77hg9gI3rk2XnZBmdZ0HQAIC/REala++vViLmdHRFbKLLWFS0tL1WUO9+zZg3HjxkEmk6Ffv364evWqMYckO5aRV6KzvXZiBVinmIjsh1HJNSQkBJs3b0ZWVhZ2796tfs5669Ytu7m7S0hIQGho6EPrEJN+2vk0g6xO1f+6iwAAD0YVExHZOqOS67x58zBz5kwEBwcjMjISUVFRAKrvYnv16iVpgJYSGxuLtLQ0HD9+3NKh2Ly6q+vIBQFzRnTWSrhyQVBXfSIismVGT8XJyclBdnY2evbsCZmsOkcnJyfDw8NDa7UcW8ZnrtKpXTbRX+GqMapYLghYOK4bn7kSkVUyy1ScpoTJ1bRqJ9ycgvv4LacQcxN/BQCcePsx+DR3sXCERERmmopTUlKCRYsWISkpCbdu3YJKpdLYfuXKFWMOS01QTZ3i45l3EfPZUbg4GvWkgojIqhiVXKdOnYqDBw/ipZdegr+/v7osoj3hknPm1SfIC72CvHDy6j11W25hOe9cicgmGdUt7Onpie3bt+PRRx81RUxWhd3C5nPpVjGGf3wQylo/kZz7SkTWwCzzXL28vODt7W3MW4nq1cxZrpFYAWDuprM4d7MAwXO2I3jOduQV37dMcEREBjAqub7//vuYN28eSks5J5Gko6vYhApAxu1i9evcwnIzRkREZByjnrkuXboUly9fhq+vL4KDg+Ho6Kix/dSpU5IER01LO59mWm0CgIu5D5LrqBWH2VVMRFbPqOQ6duxYicMgqh45/M6oLnh/e3VtagHArCceweJdFzT24+LrRGTtjEqu8+fPlzoOIgDAmF4B6uS67W8DUFBWqbVPQ4uv5xXfR98PkgBwriwRWYbRkwrz8/OxZs0azJ07F3fv3gVQ3R1848YNyYKzJNYWtjxfD2edXcUA0MabCZOIrJdRyfXMmTPo1KkTFi9ejCVLliA/Px8AkJiYiLlz50oZn8WwtrBl+DR3QeaiUchcNAo+zV3UXcV1JaXdskB0RET6MSq5xsXFYeLEiUhPT4eLy4M7iJEjR+LQoUOSBUcEAFMGtsfRuX/At9P64Y3hjwAAlu29iLxijhwmIutkVHI9fvw4/vrXv2q1t27dGjk5OY0Oiqguf4Urojq0wMuDO6BrgAcK71fhozoDnYiIrIVRydXZ2RmFhYVa7RcvXkTLli0bHRRRfeQyAe892RUA8N3JLFzIKXro/pwXS0SWYFRyffLJJ7FgwQJUVlaP5BQEAdeuXcPs2bMxfvx4SQMkqqtvsDf+Oqg9VjzbC+4uchy5nIfsgjL19i0pN9Xfj1pxGBuPX7NEmETUhBlVW7igoAB/+tOfcOLECRQVFSEgIAA5OTmIiorCjh070KyZ7hGetoi1ha3X2p+uqKftAMBfB7WDk4McK/dd0thPLgg4PGco58USkdHMsuScQqHA3r17cfjwYZw5cwbFxcXo3bs3oqOjjTkckcGyC8o0EisAfHYoQ+e+Dc2LJSKSmlHJtcaAAQMwYMAAqWKxKlxyzrrpqkMMAD3bKHD6eoFGm1wQEOzjZo6wiIgAGNktDFSPGN6/f7/OxdKXLVsmSXDWgN3C1im7oAxR8fs02mq6f3ecydYoobiItYiJqJHM0i28cOFCvP3223jkkUfg6+ursVi6PS6cTtZHVx3iheO6wV/hqlVCsWuAAjkF9+GnYFUnIjIPo5LrP//5T3zxxReYOHGixOEQ6W/KwPYY2cMfmXmlCPZx0/lM1c1RjqlfnsCxK3ew/40h8GnubIFIiaipMWoqjkwmw6OPPip1LEQGqykuUd9gpWbOcuQUlqGovApL97DoBBGZh1HJ9fXXX0dCQoLUsRBJTiYTMO+P1UUnNhzPwrmbBQ28g4io8YzqFp45cyZGjRqFDh06IDQ0VGux9MTEREmCI5JCRDtv/LGHP7adycaC/6Vhw1/6cWwAEZmUUXeuf/vb37B//3506tQJLVq0gEKh0PgisjZzR3aBs4MMxzLuot3cHQies513sURkMkbduX755ZfYtGkTRo0aJXU8RCbR2tO1umRirepNo1YcxmIJpulwcXYiqsuoO1dvb2906NBB6liIJFF3TdgaY3u11tr3zcRfkV1Qhrzi+wiesx3Bc7Yjr/i+OcMlIjtkVHJ99913MX/+fJSWlkodD5HJ5BRqJ02lKOK37IevrENEZCijuoVXrFiBy5cvw9fXF8HBwVoDmk6dOiVJcJbE8of2p52P9oISAoA3vj+NV4eEqNtyC8vZtUtEjWJUch07dqzEYVif2NhYxMbGqkteke2rW9UJALybOSGvuAILtqWp26R6FktETZdRyXX+/PlSx0FkFnWrOnk3c8LKfZfwSZ1l6uZuOotBnVpyJR0iMopRz1yJbFntqk7ODnL079BCax8VgNRr+WaPjYjsg953rt7e3rh48SJ8fHzg5eX10En4d+/elSQ4InPQ9SwWAAK8eNdKRMbRO7l+/PHHcHd3BwAsX77cVPEQmZ2uZ7GvDmmPnm081a+zC8qQkVeCdj7NHtpVzMFQRAQ0Yj3XpoLruTYNtQtBbP99mboaM79Lxfenbqhf1x3stPanKxqJmYOhiOyPydZzLSws1DsIJiGyZb4eD5alu5hbqJFYAWD2prP4+Md0VFSpMLyrL75NztLY/mbirxwMRdTE6Z1cPT099S52zrmhZC/yiit0tucUVBekuJFfprVNKYrIzCtlciVqwvROrvv371d/n5mZiTlz5mDixImIiooCABw9ehRffvkl4uPjpY+SyMRqSibWpWuwkwzA53/ug0DvZqhSqXDo4mGN7XJBQLCPm6lCJSIbYNQz18ceewxTp07Fc889p9H+n//8B59//jkOHDggVXwWx2euVPuZqgBgUQPPXOePDsWkR9uZO0wiMiFDc4FRydXNzQ2nT59Gx44dNdovXryIsLAwu6o5zORKQPVo4ZrCE3W7e2sPhgKAGdEdMSO6k7lDJCITMjQXGFVEIjAwEKtXr9ZqX7NmDQIDA405JJFVq114oiFfHM5A4f1KM0RFRNbKqPKHH3/8McaPH4+dO3ciMjISAJCcnIz09HRs2rRJ0gCJbEk7Hzdk5JVi/c+Z+NtjHRt+AxHZJaPuXEeOHIn09HQ8+eSTuHv3Lu7evYvRo0fj4sWLGDlypNQxWkRCQgJCQ0MRHh5u6VDIhkwd2B4AsPZwBop490rUZOn9zPXMmTPo1q0bZDL98vG5c+fwyCOPwMHBqJtjq8FnrtSQ2s9cj735Bzy/+hiu5JXg0xf64IlufhaOjoikYLIiEr169UJOTg5atmyp1/5RUVFITU1F+/bt9T0Fkc2TywQsGt8DXm6OCGnlbulwiMhC9E6uoijinXfegZubfvP3Kip0T74nsnfhwd6WDoGILEzv5Dpo0CBcuHBB7wNHRUXB1ZUVaqhpy8wrQUt3ZzRztu3HI0RkGL3/xdtTYQgic1i65wL+deAyZg1/BH8d3EHnPrWf1554+zGuqENkJ7hYOpGJBHm7QakS8fmhKyitqLJ0OERkRkyuRCYytldrtPZ0wZ2SCoTO241zNwssHRIRmQmTK5GJOMpl6BXoqX49asVhbDx+zSTnyiu+j+A52xE8Zzvyiu+b5BxEpD+OsiBqpPpW1MkuKMO2szkabXM3neVar0RNAO9ciUwkI69Eq00FIOO2djsR2RcmVyITqW8t2HYttdtJE7u5ydYxuRKZiL/CFYvHd4dcEABU/2OLH99d3SWcX8pCK0T2is9ciUwoJjwIgzq11FoL9kJOEZ5edQTTBrI8KJkG51BbFpMrkYn5K1y1BjBtP3MThfersHTvRXVbbmG5zl+A/CVJZHvYLUxkAa8P64Q5IzprtEk1VSe3sLzRx9AHn4sS1Y/JlcgCBEHAmLAArfbZm87ivyey6n1ffYlzS8pN9femnE9LRPphciWyEF1TdQDgdtGDBHozvwyrD11Rvx614jAS9qVjx9lsfJtcnUCzC8rw/vbzGsd4M/FXZBeUmSBqMhTv8JsmPnMlshBdU3UEAH/s6a9+/emBS/jqF8270I/2VD+ndXdxwLPhgTqTtFIUkZlXalSxCj7jJWo83rkSWYi/whXvjOqifi0AWDS+O4K8HyTdnELddzrtfZphZDd/lFUq603SbVuwChSRpTSJ5JqRkYGhQ4ciNDQU3bt3R0kJK+SQdRjT68Fz121/G4CY8CCN7QvGdNN6jwzAN9MisfhPPeDm5KCVpAFABPBDreewZJvYpWy7mkRynThxIhYsWIC0tDQcPHgQzs7Olg6JSIuvh/bPpa6729qFKGrUTtKvDqleO/aj3Rew+9yD2sa2+otan9HPtvrZyH7ZfXI9d+4cHB0dMXDgQACAt7c3HBz4qJlsR0N3t3VNHhCMP0e1BQC8u/UcyquUJo1PH4Ymv//Ues5sT6OfzTVNiizP4sn10KFDGD16NAICAiAIAjZv3qy1T0JCAoKDg+Hi4oLIyEgkJyfrffz09HQ0b94co0ePRu/evbFw4UIJoycyL113t7rM+2Mono8MwjdTI+HsIDdxVNIRRRHrfs7Ash/TNdrnbjprs6OfOU2qabL4LVxJSQl69uyJyZMnY9y4cVrbN27ciLi4OKxatQqRkZFYvnw5hg8fjgsXLqBVq1YAgLCwMFRVVWm9d8+ePaiqqsJPP/2E1NRUtGrVCk888QTCw8MxbNgwk382IktxkMuw8Knulg7DINfulOKtzWfxU3qe1jYVYPToZ6kYM4pa1zQpLjvYNFg8uY4YMQIjRoyod/uyZcswbdo0TJo0CQCwatUqbN++HV988QXmzJkDAEhNTa33/a1bt0bfvn0RGBgIABg5ciRSU1PrTa7l5eUoL3/QdVNYWGjoRyKyOofT87D19A1Lh/FQcd+l4sTVe3CSy1ChVGlskwEI9nGT7Fzmmm6Uei1fq00FYPHOC3j3yVB4ujmZ5LxkeRbvFn6YiooKnDx5EtHR0eo2mUyG6OhoHD16VK9jhIeH49atW7h37x5UKhUOHTqELl261Lt/fHw8FAqF+qsmKRNZSs1i7JmLRhmVBG4V3seUL4/juxPX1W3W+Oxv3uhQDAjxwe7XB2mNfq4ZxFVepcTfvzuNy7eLLRSl/m7mlyF+5286t21OvYEBi/dj6Z4LXB3JxCw12M2qk2teXh6USiV8fX012n19fZGTk1PPuzQ5ODhg4cKFGDRoEHr06IGOHTvij3/8Y737z507FwUFBeqvrKz6S9ER2YJWHi54u06y0vfZn6mScEl5Fd7floYVSQ+erfZo44mvp0ainU8zjUFc22sN4krYfxmbTl3HyH/+hNWHrkCpEk0SX2Nl5pXg6VVHce1uKTxcNDsIX+oXhM5+7igur8LKfZeYZO2UxbuFzaGhrufanJ2dOVWH7E50qC/e2XJOo232prO4dKsYb40KVbdl5pVg59ls9etRKw5j8fjuDY5QNsT2M9n4/FAGbuSXwVEu4Jm+gfBT1H9HXnsQV0x4IFKu3cNP6Xn4cMd57DqXg4/+1AMertbzq+xCThFeXHsMt4vK0d6nGVY8H4Y/rvgZQPUfCl0DFFCpROxJy8XyHy/it5wirNx3CXdKKmzuOXlDmnK1L+v5idTBx8cHcrkcubm5Gu25ubnw8/OzUFREtqe+OsZpNx+MKahSqvDY0oNQipp3g3M2ncX9SiX6d/BBR193ncepb7k8AKhUqrD+50z16/lb0wAArT1d8cFT3R6aWOtq7emKf0+OwMbjWfhg+3mcvHoPI/75E14Z3EGvWEztzPV8/PmLZOSXVqKznzu+mhIJQXhwPWv+UJDJBDzRzQ+Ph/piT1oOPtl/CS8PevAZcgruw9VRc5S3JT8XGc6qu4WdnJzQp08fJCUlqdtUKhWSkpIQFRVl0nMnJCQgNDQU4eHhJj0PkTnUVyLxhX4P7kjvllTAyUHQ2k9EdUJcse+Suk2pEjFl/Qn161ErDmPiumS88d/TmLz+ODYkP+hyPpF5F5/sv6x17q+mRGDoI60M/iyCIODZiCDsfn0QBnb0QXmVCstrdS9barpLalY+nl99DPmllegZ6IkNf+mHlu4P7wWrTrL++N/0AQhq8WDA1vvb0zBg8T68vvG0uq0xn8san7HbO4vfuRYXF+PSpQf/aDMyMpCamgpvb28EBQUhLi4OEyZMQN++fREREYHly5ejpKREPXrYVGJjYxEbG4vCwkIoFAqTnovI1GoqPdVMC6mpYzyy+4Nnm608XJD098Hov2i/xnsFAD3aKNC9tYe67XTWPZy+XqCx34ELt9Xft/Z8MM2k8H6lVjwiqn/ht2/Z3OjPVHMX+9mhy1i084LGtjmbzuJQeh4Gd2qJiGBvtG3hBkHQ/sNBSkHebvBXuKBFcyesmRCO5s76/3qtHdv9SiWu3C5BUXmV1rSk2ZvO4mb+fbw+rBOA6l6BD7alwclBBke5DE4Ov3/JZThx9a76fcZ07zflLl0pWDy5njhxAkOHDlW/jouLAwBMmDAB69evR0xMDG7fvo158+YhJycHYWFh2LVrl9YgJ6KmrGZE8cOM6RWgTq7bfn/2V1eAp5vOJFz3l3J9d0IxfQPRu60nuvg/SMTdW2ufRy4IkkytEQQBPdp4arWLqH62u/1M9fPjlu7OCA/2QniwN8KDvdHK/cEUGKm6W72bOeE/0/rB3cUBLo7GF+5wcZRj+2sDsGJfOpbXKaYBAKez8tXf369U4sujV/U67puJv3J+rRlZPLkOGTIEovjwEX/Tp0/H9OnTzRQRkfnokxRN4WGVnvRJwmFBnlptckHAjGEdtX5560rYC8d1k+yXvK4ubxmAF6La4vzNQpy5XoDbReXYcTYHO87mwFEuIC66k3rfUSsOI35cNzwX0dbgcyeeuo77lSo8H1n9x0dD3cD6kskExIQHaiVXAUBMxIPpgQ4yGV77QwgqqlQor1KhQqlCZZUKN/LLcOTyHY33NmYZQjKcxZOrtUpISEBCQgKUSsvXZSWylPqSsK5u5oclTH0StrF0xRJf6277fqUSp7PycTzzLo5n3sP9SiUW79bsRp6b+CuSzt/C46F+GNDRBwGeDSegr45m4p0t5yAIwCN+zdGnrbfO/Yz9A6q+rvwR3R6s9+vqJMffH39E673ZBWWIit+n0SYAKLjP6T7mYtUDmiwpNjYWaWlpOH78uKVDIbJKhi4oUEPf+shSxeLiKEdk+xaY/oeO+HJyBP4vuqPOY/x4/hZmbTqD/ov24bGlB/Du1nP4+ZJ2KUYASNh3ST21aUJUMHoFekn4aR4w9hrXtwzhG9+dwZnr+RJGSPVhciWiRjNFwjRWQ7HU1408+dFg9AryhEwALt8uwfojmfi21qjnzacelI9cd6T6OWfs0A6YPzoUMplpB0sBhl/j2ok58ZUo9GvvjaLyKry0NlljChaZBruFiahJaagbuaC0Ekev5OFQeh4GhvgAqO5m/WCHZilDAcCL/dqafBSyFIJauGHthHC8tPYYTl3Lx0trj2HDX/rVO2+ZGo93rkTU5Dysu1Xh5ognuvlj4VPdMaJ79fNNXUU4RFSv1GMrmjk7YP3kCHRvrcCdkgq8sOYYMuspLkKNx+RaDxaRIGoa9Olu1dWVLNV0InPycHHEvydHoLOfO24VleOlL47hfiUHbZoCk2s9OKCJ7E1jV9dpyuoOEJJ6OpE5eTVzwtdTI9HZzx1vjujSqDm5VD8mVyIiPRg7ctca+TR3xrbXBqi7vUl6HNBERCZn6FxPSxXX0Jc1jY42loP8wb3VjfwyvLf1HBaN7wHvZta1gLutlmHknSsRURMmiiL+9m0K9qTl4qW1x1BQql0LmgzH5EpE1IQJgoDF43vAp7kTzt0sxIR1ySjSsdiCPTDn6kBMrvXgaGEiaipCWjXH11Mj4enmiNSsfExefxxlFfYxinhLyk319+ZcjpDJtR4cLUxETUlnPw98NTkS7i4OOJ55D3HfPVhL1lbXgz16OU9dLKTGm4m/IrugzOTn5oAmIrJ59jZgylK6t1Fg/aQIvLT2GI5n3lO3G7MebF1SLe2nj9SsfPxr/yXsScvV2mau1YGYXImISK1PWy989HQPxH6TotE+Z9NZHMu4C18PFzR3dnjw5eIAf4WLxrq69yuVcHaQaXXJNjZB6yN+53l8dvBKvdvNVfyDyZWINPCujrzctKfjiAASay1eUNuAEB98PTVS/TpyYRKK71dBWWet7rmbzqJnoCc6+3lIFqtSJaJSqVIXwxgQ4oO1P2VgTFhrvDKkPQ5euG2ytYQfhsmViMhKWeoPHV3lHgUAkx4NBiCguLwSxeVVKLpfhZLyKnT0ba7eTxRFFJdrJ1YAUAF47T8p2Bs3WN2WkVeCtt5uBq8sVFGlwuaUG1h16DJGdPPDG8M7A6hOrodn/wF+iuouaE83R5OtJfwwTK714GLpRNRU1bdQu75dumfmP44recUYvfJnrW19gx+sfVtcXoXHlh5AMycHhAV5oneQF3q39UJYoCcUro5a780tLIerowO+Tb6GNT9lIKfwPgBg6+mbiBv2COQyAYIgqBNrXeYs/sHkWo/Y2FjExsaisLAQCoV5/tIhIrIWY3oFGHXHJwgCmjk7oHtrT50J+uk+gep9M/NK4OIoR1F5FX5Kz8NP6Xm/HwMIadkcUwe2Q/H9KvX+o1YchpuTHKW/TxPy9XDG1AHt8VxkEORmWFPXEEyuRET0UMbe8TWUoLu1VuDM/MdxIbcIp67lI+XqPZy8dg9X75Qi/VYxbhWVY+meixrvKa1QItDLFbFDQ/BU79ZwdrDOhQeYXImIyOTqS9AOchm6BijQNUCBl/q1BQDkFZcj5Vo+7ldW6XzPonE98GhHH5PFKgUmVyIisio+zZ0xLNRXZ7EHuSCgfSvtAVfWhhWaiIjIKtnyOrpMrkREZLVsdR1dJlciIrIJtrSOLpNrPbgqDhERGYvJtR5cFYeIiIzF0cJERHpgzWUyBO9ciYiIJMbkSkREJDF2CzdA/H1lh8LCQgtHQmRdioorHnxfWAwnVcVD9iZza+z/Hyn+/1rDMaT6Oa3JAaKO1X50EUR992yirl+/jsDAwIZ3JCIiu5eVlYU2bdo0uB+TawNUKhVu3rwJd3d3CIJ1rbqgr8LCQgQGBiIrKwseHtItUmxreB14DWrwOvAa1ND3OoiiiKKiIgQEBEAma/iJKruFGyCTyfT6K8UWeHh4NOl/RDV4HXgNavA68BrU0Oc6GLL8KAc0ERERSYzJlYiISGJMrk2As7Mz5s+fD2dn26nLaQq8DrwGNXgdeA1qmOo6cEATERGRxHjnSkREJDEmVyIiIokxuRIREUmMyZWIiEhiTK52IiEhAcHBwXBxcUFkZCSSk5Pr3ffcuXMYP348goODIQgCli9fbr5ATcyQ67B69WoMHDgQXl5e8PLyQnR09EP3txWGXIPExET07dsXnp6eaNasGcLCwvDVV1+ZMVrTMeQ61LZhwwYIgoCxY8eaNkAzMOQarF+/HoIgaHy5uLiYMVrTMfRnIT8/H7GxsfD394ezszM6deqEHTt2GHZSkWzehg0bRCcnJ/GLL74Qz507J06bNk309PQUc3Nzde6fnJwszpw5U/z2229FPz8/8eOPPzZvwCZi6HV4/vnnxYSEBDElJUU8f/68OHHiRFGhUIjXr183c+TSMfQa7N+/X0xMTBTT0tLES5cuicuXLxflcrm4a9cuM0cuLUOvQ42MjAyxdevW4sCBA8UxY8aYJ1gTMfQarFu3TvTw8BCzs7PVXzk5OWaOWnqGXofy8nKxb9++4siRI8XDhw+LGRkZ4oEDB8TU1FSDzsvkagciIiLE2NhY9WulUikGBASI8fHxDb63bdu2dpNcG3MdRFEUq6qqRHd3d/HLL780VYgm19hrIIqi2KtXL/Htt982RXhmY8x1qKqqEvv37y+uWbNGnDBhgs0nV0Ovwbp160SFQmGm6MzH0Ovw6aefiu3btxcrKioadV52C9u4iooKnDx5EtHR0eo2mUyG6OhoHD161IKRmZcU16G0tBSVlZXw9vY2VZgm1dhrIIoikpKScOHCBQwaNMiUoZqUsddhwYIFaNWqFaZMmWKOME3K2GtQXFyMtm3bIjAwEGPGjMG5c+fMEa7JGHMdtm7diqioKMTGxsLX1xfdunXDwoULoVQqDTo3k6uNy8vLg1KphK+vr0a7r68vcnJyLBSV+UlxHWbPno2AgACNf4i2xNhrUFBQgObNm8PJyQmjRo3CypUrMWzYMFOHazLGXIfDhw9j7dq1WL16tTlCNDljrsEjjzyCL774Alu2bMHXX38NlUqF/v374/r16+YI2SSMuQ5XrlzB999/D6VSiR07duCdd97B0qVL8cEHHxh0bq6KQwRg0aJF2LBhAw4cOGA3gzj05e7ujtTUVBQXFyMpKQlxcXFo3749hgwZYunQzKKoqAgvvfQSVq9eDR8fH0uHYzFRUVGIiopSv+7fvz+6dOmCzz77DO+//74FIzMvlUqFVq1a4fPPP4dcLkefPn1w48YNfPTRR5g/f77ex2FytXE+Pj6Qy+XIzc3VaM/NzYWfn5+FojK/xlyHJUuWYNGiRfjxxx/Ro0cPU4ZpUsZeA5lMhpCQEABAWFgYzp8/j/j4eJtNroZeh8uXLyMzMxOjR49Wt6lUKgCAg4MDLly4gA4dOpg2aIlJ8XvB0dERvXr1wqVLl0wRolkYcx38/f3h6OgIuVyubuvSpQtycnJQUVEBJycnvc7NbmEb5+TkhD59+iApKUndplKpkJSUpPFXqL0z9jr84x//wPvvv49du3ahb9++5gjVZKT6WVCpVCgvLzdFiGZh6HXo3Lkzzp49i9TUVPXXk08+iaFDhyI1NRWBgYHmDF8SUvwsKJVKnD17Fv7+/qYK0+SMuQ6PPvooLl26pP4DCwAuXrwIf39/vRMrAE7FsQcbNmwQnZ2dxfXr14tpaWniX/7yF9HT01M9jP6ll14S58yZo96/vLxcTElJEVNSUkR/f39x5syZYkpKipienm6pjyAJQ6/DokWLRCcnJ/H777/XmH5QVFRkqY/QaIZeg4ULF4p79uwRL1++LKalpYlLliwRHRwcxNWrV1vqI0jC0OtQlz2MFjb0Grz33nvi7t27xcuXL4snT54Un332WdHFxUU8d+6cpT6CJAy9DteuXRPd3d3F6dOnixcuXBC3bdsmtmrVSvzggw8MOi+Tq51YuXKlGBQUJDo5OYkRERHiL7/8ot42ePBgccKECerXGRkZIgCtr8GDB5s/cIkZch3atm2r8zrMnz/f/IFLyJBr8NZbb4khISGii4uL6OXlJUZFRYkbNmywQNTSM+Q61GUPyVUUDbsGM2bMUO/r6+srjhw5Ujx16pQFopaeoT8LR44cESMjI0VnZ2exffv24ocffihWVVUZdE4uOUdERCQxPnMlIiKSGJMrERGRxJhciYiIJMbkSkREJDEmVyIiIokxuRIREUmMyZWILO7ChQsIDw9Hu3btsGXLFkuHQ9RonOdKRBYXExODiIgI9OjRA1OmTMG1a9csHRJRo/DOlYgMsn79egiCAEEQMGPGDEmOqVAo0LZtW4SEhKBVq1Za24cMGaI+Z2pqqiTnJDIlJlciK5aVlYXJkycjICAATk5OaNu2Lf7v//4Pd+7ckewcBw4cQO/eveHs7IyQkBCsX7++wfd4eHggOztbYymyxMREPP7442jRokWDSbBdu3b48ccf1a8XLFiAmJgYhISEYO7cuVr7JyYmIjk52aDPRWRJTK5EVurKlSvo27cv0tPT8e233+LSpUtYtWqVekWPu3fvNvocGRkZGDVqlHoFmBkzZmDq1KnYvXv3Q98nCAL8/Pzg7u6ubispKcGAAQOwePHih773zJkzuHfvHgYPHqxuO3bsGNq0aYNnn30WR44c0XqPt7c3WrZsaeCnI7KgxhZEJiLTeOKJJ8Q2bdqIpaWlGu3Z2dmim5ub+PLLL4uiKIr79+/XuQDBwwrT15g1a5bYtWtXjbaYmBhx+PDh9b5n3bp1okKhqHd7zcIQKSkpOrcvWLBAjImJ0WgbM2aMOGfOHHHnzp1iq1atxMrKSoOPS2RNeOdKZIXu3r2L3bt349VXX4Wrq6vGNj8/P7zwwgvYuHEjRFFE//79kZ2drf7at28fXFxcMGjQoAbPc/ToUURHR2u0DR8+HEePHpX089S2detWjBkzRv361q1b2LFjB1588UUMGzYMgiBg+/btJjs/kTkwuRJZofT0dIiiiC5duujc3qVLF9y7dw+3b9+Gk5MT/Pz84OfnB0dHR0ydOhWTJ0/G5MmTGzxPTk4OfH19Ndp8fX1RWFiIsrIyST5LbTdu3MCZM2cwYsQIddvXX3+Nrl27omvXrpDL5Xj22Wf1eu5LZM2YXImsmNjATDknJyf195WVlRg/fjzatm2Lf/7zn6YOzShbt27FgAED4OnpqW5bt24dXnzxRfXrF198Edu3b8ft27ctECGRNJhciaxQSEgIBEHA+fPndW4/f/48WrZsqZGkXnnlFWRlZeG///0vHBwc9DqPn58fcnNzNdpyc3Ph4eGh1R0tha1bt+LJJ59Uvz5x4gR+/fVXzJo1Cw4ODnBwcEC/fv1QWVmJr7/+WvLzE5kLkyuRFWrRogWGDRuGf/3rX1rdszk5Ofjmm28wceJEdduyZcvw3XffYcuWLWjRooXe54mKikJSUpJG2969exEVFdWo+HUpLi7G/v37NZ63rlu3DoMGDcLp06eRmpqq/po1axa7hsm2WXhAFRHV4+LFi6KPj484cOBA8eDBg+K1a9fEnTt3it26dRPDwsLEoqIiURRFce/evaJcLhdXrVolZmdnq7/y8/MbPMeVK1dENzc38Y033hDPnz8vJiQkiHK5XNy1a1e976lvtPCdO3fElJQUcfv27SIAccOGDWJKSoqYnZ0tiqIo/ve//xW7d++u3v/+/fuil5eX+Omnn+r87ADEkydPqts4WphsCZMrkRXLyMgQJ0yYIPr6+oqCIIgAxHHjxoklJSXqfebPn2/0VBxRrJ7KExYWJjo5OYnt27cX161b99D960uu69at0xnH/PnzRVEUxRdffFF866231Ptv2LBBlMlkYk5Ojs7zdO/eXZw+fbrGtWByJVvB2sJENmT+/PlYtmwZ9u7di379+lkkhvXr12PGjBnIz8/X+z1VVVXw9fXFzp07ERERYdR5MzMz0a5dO6SkpCAsLMyoYxCZC5+5EtmQ9957DytWrMAvv/wClUplsTgKCgrQvHlzzJ49W6/97969i9dffx3h4eFGnW/EiBHo2rWrUe8lsgTeuRLZsa5du+Lq1as6t3322Wd44YUXDD5mUVGReoSxp6cnfHx8GhWjPm7cuKEe2BUUFKQxBYnIGjG5Etmxq1evorKyUuc2X19fjdrARCQdJlciIiKJ8ZkrERGRxJhciYiIJMbkSkREJDEmVyIiIokxuRIREUmMyZWIiEhiTK5EREQSY3IlIiKSGJMrERGRxP4fdg2OKGv8nGEAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "data = load('_static/d70d2o.ort')\n", "plot(data)" @@ -138,7 +118,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "id": "80c8d71f-d309-4104-bae6-3941daa525d3", "metadata": {}, "outputs": [], @@ -170,7 +150,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "id": "3ad9adef-8845-486d-8075-9ad6bb81ea6f", "metadata": {}, "outputs": [], @@ -189,7 +169,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "id": "a39a0eca-97d6-44d7-8796-a5e98d024788", "metadata": {}, "outputs": [], @@ -208,7 +188,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "id": "204144c3-a3e7-4ab1-9a6c-6aca8241f69e", "metadata": {}, "outputs": [], @@ -227,7 +207,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "id": "e39cf91b-e049-4619-a5cd-4bdf8492252d", "metadata": {}, "outputs": [], @@ -248,60 +228,10 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "id": "4576f0b9-8815-46bc-b759-9f03379d2d0b", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "layer1:\n", - " EasySurfactantLayer Layer 1:\n", - " material:\n", - " C34D70/Air:\n", - " fraction: 0.0\n", - " sld: 8.753e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " material1:\n", - " C34D70:\n", - " sld: 8.753e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " material2:\n", - " Air:\n", - " sld: 0.000e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " thickness: 17.600 angstrom\n", - " roughness: 3.000 angstrom\n", - " chemical_structure: C34D70\n", - " area_per_molecule: 45.0 angstrom ** 2\n", - "layer2:\n", - " EasySurfactantLayer Layer 2:\n", - " material:\n", - " C10H18NO8P/D2O:\n", - " fraction: 0.5\n", - " sld: 3.697e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " material1:\n", - " C10H18NO8P:\n", - " sld: 1.035e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " material2:\n", - " D2O:\n", - " sld: 6.360e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " thickness: 12.900 angstrom\n", - " roughness: 3.000 angstrom\n", - " chemical_structure: C10H18NO8P\n", - " area_per_molecule: 45.0 angstrom ** 2\n", - "area per molecule constrained: true\n", - "conformal roughness: true" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "dspc = SurfactantLayer.from_pars(tail_formula, tail_thickness, air, tail_solvation, \n", " area_per_molecule, roughness,\n", @@ -322,7 +252,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "id": "c17ecc32-c578-4a22-a12c-da13af1e0347", "metadata": {}, "outputs": [], @@ -342,7 +272,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "id": "f17762ca-33c5-48bb-88a2-bc2568bb18f7", "metadata": {}, "outputs": [], @@ -360,7 +290,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "id": "216bfe40-a97c-4437-a2f9-8bc7966ae58d", "metadata": {}, "outputs": [], @@ -383,7 +313,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "id": "d30eaa0f-be7f-4cbe-a7d6-11f43512f014", "metadata": {}, "outputs": [], @@ -405,7 +335,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "id": "bc61b31f-11bf-43e1-9fd9-d697ded79196", "metadata": {}, "outputs": [], @@ -426,101 +356,20 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "id": "fee84677-477f-4b8d-aaa5-7650d641804c", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plot(analysed)" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "id": "020bed24-e8cd-41e4-9b2a-e3acfc133101", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "EasyModel:\n", - " scale: 0.14027260295332553\n", - " background: 8.86282995316922e-07\n", - " resolution: 5.0 %\n", - " structure:\n", - " EasyStructure:\n", - " - Air Superphase:\n", - " material:\n", - " Air:\n", - " sld: 0.000e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " thickness: 0.000 angstrom\n", - " roughness: 0.000 angstrom\n", - " - layer1:\n", - " EasySurfactantLayer Layer 1:\n", - " material:\n", - " C34D70/Air:\n", - " fraction: 0.0\n", - " sld: 8.753e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " material1:\n", - " C34D70:\n", - " sld: 8.753e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " material2:\n", - " Air:\n", - " sld: 0.000e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " thickness: 17.600 angstrom\n", - " roughness: 3.000 angstrom\n", - " chemical_structure: C34D70\n", - " area_per_molecule: 51.9 angstrom ** 2\n", - " layer2:\n", - " EasySurfactantLayer Layer 2:\n", - " material:\n", - " C10H18NO8P/D2O:\n", - " fraction: 0.6240541582806278\n", - " sld: 4.306e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " material1:\n", - " C10H18NO8P:\n", - " sld: 0.897e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " material2:\n", - " D2O:\n", - " sld: 6.360e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " thickness: 12.900 angstrom\n", - " roughness: 3.000 angstrom\n", - " chemical_structure: C10H18NO8P\n", - " area_per_molecule: 51.9 angstrom ** 2\n", - " area per molecule constrained: true\n", - " conformal roughness: true\n", - " - D2O Subphase:\n", - " material:\n", - " D2O:\n", - " sld: 6.360e-6 1 / angstrom ** 2\n", - " isld: 0.000e-6 1 / angstrom ** 2\n", - " thickness: 0.000 angstrom\n", - " roughness: 3.000 angstrom" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model" ]