{ "cells": [ { "cell_type": "markdown", "id": "230c823d", "metadata": {}, "source": [ "# ghost" ] }, { "cell_type": "code", "execution_count": 1, "id": "e418928b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tikz:\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from pyfeyn2.render.all import AllRender\n", "ar = AllRender().demo_propagator(\"ghost\")" ] }, { "cell_type": "code", "execution_count": null, "id": "80abcd0e", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3.9.16 64-bit", "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": "3.9.16" }, "vscode": { "interpreter": { "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6" } } }, "nbformat": 4, "nbformat_minor": 5 }