{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Dynamics lineshapes" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "jupyter": { "source_hidden": true }, "mystnb": { "code_prompt_show": "Import Python libraries" }, "tags": [ "hide-cell", "scroll-input" ] }, "outputs": [], "source": [ "import sympy as sp\n", "from ampform.kinematics.phasespace import Kallen\n", "\n", "from polarimetry.dynamics import (\n", " BlattWeisskopf,\n", " BreitWignerMinL,\n", " BuggBreitWigner,\n", " EnergyDependentWidth,\n", " FlattéSWave,\n", " P,\n", " Q,\n", ")\n", "from polarimetry.io import display_doit, display_latex" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "jupyter": { "source_hidden": true }, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "z = sp.Symbol(\"z\", positive=True)\n", "L = sp.Symbol(\"L\", integer=True, nonnegative=True)\n", "display_doit(BlattWeisskopf(z, L))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "jupyter": { "source_hidden": true }, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "x, y, z = sp.symbols(\"x:z\")\n", "display_doit(Kallen(x, y, z))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "jupyter": { "source_hidden": true }, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "s, m0, mi, mj, mk = sp.symbols(\"s m0 m_i:k\", nonnegative=True)\n", "display_doit(P(s, mi, mj))\n", "display_doit(Q(s, m0, mk))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "jupyter": { "source_hidden": true }, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "R = sp.Symbol(\"R\")\n", "l_R = sp.Symbol(\"l_R\", integer=True, positive=True)\n", "m, Γ0, m1, m2 = sp.symbols(\"m Γ0 m1 m2\", nonnegative=True)\n", "display_doit(EnergyDependentWidth(s, m, Γ0, m1, m2, l_R, R))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Relativistic Breit-Wigner" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "jupyter": { "source_hidden": true }, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "m_top, m_spec = sp.symbols(R\"m_\\mathrm{top} m_\\mathrm{spectator}\")\n", "R_dec, R_prod = sp.symbols(R\"R_\\mathrm{res} R_{\\Lambda_c}\")\n", "l_Λc = sp.Symbol(R\"l_{\\Lambda_c}\", integer=True, positive=True)\n", "display_doit(\n", " BreitWignerMinL(s, m_top, m_spec, m, Γ0, m1, m2, l_R, l_Λc, R_dec, R_prod)\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Bugg Breit-Wigner" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "jupyter": { "source_hidden": true }, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "mKπ, m0, Γ0, mK, mπ, γ = sp.symbols(R\"m_{K\\pi} m0 Gamma0 m_K m_pi gamma\")\n", "bugg = BuggBreitWigner(mKπ**2, m0, Γ0, mK, mπ, γ)\n", "q = P(mKπ**2, mK, mπ)\n", "s_A = sp.Symbol(\"s_A\")\n", "definitions = {\n", " s_A: mK**2 - mπ**2 / 2,\n", " q: q.evaluate(),\n", "}\n", "display_latex({bugg: bugg.evaluate().subs({v: k for k, v in definitions.items()})})\n", "display_latex(definitions)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "One of the models uses a Bugg Breit-Wigner with an exponential factor:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "jupyter": { "source_hidden": true }, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "q = Q(s, m0, m1)\n", "alpha = sp.Symbol(\"alpha\")\n", "bugg * sp.exp(-alpha * q**2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Flatté for S-waves" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "jupyter": { "source_hidden": true }, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "Γ1, Γ2, m1_1, m2_1, m1_2, m2_2 = sp.symbols(\"Gamma1 Gamma2 m1_1 m2_1 m1_2 m2_2\")\n", "display_doit(FlattéSWave(s, m, (Γ1, Γ2), (m1_1, m2_1), (m1_2, m2_2)))" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.8.15" } }, "nbformat": 4, "nbformat_minor": 4 }