diff --git a/notebooks/flow/void_test.ipynb b/notebooks/flow/void_test.ipynb index fb057fa..a2acd08 100644 --- a/notebooks/flow/void_test.ipynb +++ b/notebooks/flow/void_test.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -286,18 +286,42 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "### 5. $V_{\\rm ext}$ along the model axis and $\\beta = 1$" + ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "for simname in [\"IndranilVoid_exp\", \"IndranilVoid_gauss\", \"IndranilVoid_mb\"]:\n", + " X = []\n", + " for catalogue in [\"2MTF\", \"SFI_gals\", \"CF4_TFR_i\", \"CF4_TFR_w1\"]:\n", + "\n", + " fname = paths.flow_validation(\n", + " fdir, simname, catalogue, inference_method=\"bayes\",\n", + " sample_alpha=False, sample_beta=None,\n", + " no_Vext=True, zcmb_max=0.05, sample_Vmag_vax=True)\n", + " \n", + " X_i = samples_to_getdist(get_samples(fname, False), catalogue_to_pretty(catalogue))\n", + " X.append(X_i)\n", + "\n", + " params = [\"rLG\", \"sigma_v\", \"Vext_axis_mag\"]\n", + " with plt.style.context(\"science\"):\n", + " g = plots.get_subplot_plotter()\n", + " g.settings.figure_legend_frame = False\n", + " g.settings.alpha_filled_add = 0.75\n", + "\n", + " g.triangle_plot(X, params=params, filled=True, legend_loc='upper right')\n", + " plt.gcf().suptitle(simname_to_pretty(simname), y=1.025)\n", + " plt.gcf().tight_layout()\n", + " plt.gcf().show()\n", + " plt.gcf().savefig(f\"../../plots/void_{simname}_Vext_along_axis_no_beta.png\", dpi=500, bbox_inches='tight')" + ] }, { "cell_type": "code",