From 1714269ba8c5ee1ac37678a479267e05e944f418 Mon Sep 17 00:00:00 2001 From: Francisco Jimenez Forteza <francisco.jimenez@condor1.atlas.local> Date: Sat, 29 May 2021 12:39:45 +0000 Subject: [PATCH] correcting rd_model_wq_m_a --- code_new/Sumit/RD_Fits.ipynb | 81 +++++++++++++++++++++++++++++++++--- code_new/Sumit/rdown.py | 16 +++---- 2 files changed, 83 insertions(+), 14 deletions(-) diff --git a/code_new/Sumit/RD_Fits.ipynb b/code_new/Sumit/RD_Fits.ipynb index d3cdfcf..688ecb7 100644 --- a/code_new/Sumit/RD_Fits.ipynb +++ b/code_new/Sumit/RD_Fits.ipynb @@ -65,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -73,7 +73,7 @@ "output_type": "stream", "text": [ "usage: ipykernel_launcher.py [-h] [-c CONFIG_FILE]\n", - "ipykernel_launcher.py: error: unrecognized arguments: -f /work/francisco.jimenez/.local/share/jupyter/runtime/kernel-433f529b-f75c-4320-8450-e97305857525.json\n" + "ipykernel_launcher.py: error: unrecognized arguments: -f /work/francisco.jimenez/.local/share/jupyter/runtime/kernel-b3311339-24b7-4dfe-a2d4-890fff02f1cb.json\n" ] } ], @@ -353,9 +353,56 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(array([0.55578191, 0.54351639, 0.52079511, 0.49045859, 0.45795517,\n", + " 0.43991139, 0.43963542]),\n", + " array([11.74090006, 3.88312743, 2.29980777, 1.62209641, 1.25654938,\n", + " 1.03071732, 0.86348675]))" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rdown.QNM_spectrum(mf, af)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "best fit pars from fit: [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 0.8 0.9 1. ]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/work/francisco.jimenez/sio/git/rdstackingproject/code_new/rdown.py:81: RuntimeWarning: divide by zero encountered in double_scalars\n", + " w_m_a[i] = qnm[0]/mass\n", + "/work/francisco.jimenez/sio/git/rdstackingproject/code_new/rdown.py:150: RuntimeWarning: divide by zero encountered in true_divide\n", + " ansatz += (xvars[i]*np.exp(1j*yvars[i]))*np.exp(-self.time/tau_m_a[i]) * (np.cos(w_m_a[i]*self.time)-1j*np.sin(w_m_a[i]*self.time))\n", + "/work/francisco.jimenez/sio/git/rdstackingproject/code_new/rdown.py:150: RuntimeWarning: invalid value encountered in true_divide\n", + " ansatz += (xvars[i]*np.exp(1j*yvars[i]))*np.exp(-self.time/tau_m_a[i]) * (np.cos(w_m_a[i]*self.time)-1j*np.sin(w_m_a[i]*self.time))\n", + "/work/francisco.jimenez/sio/git/rdstackingproject/code_new/rdown.py:150: RuntimeWarning: invalid value encountered in multiply\n", + " ansatz += (xvars[i]*np.exp(1j*yvars[i]))*np.exp(-self.time/tau_m_a[i]) * (np.cos(w_m_a[i]*self.time)-1j*np.sin(w_m_a[i]*self.time))\n", + "/work/francisco.jimenez/venv/lib/python3.7/site-packages/scipy/optimize/_numdiff.py:497: RuntimeWarning: invalid value encountered in subtract\n", + " df = fun(x) - f0\n" + ] + } + ], "source": [ "# Get a first estimate by trying to fit the data.\n", "nll = lambda *args: -rdown_pe.log_likelihood(*args)\n", @@ -393,7 +440,29 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Process ForkPoolWorker-2:\n", + "Process ForkPoolWorker-6:\n", + "Process ForkPoolWorker-5:\n", + "Process ForkPoolWorker-1:\n", + "Process ForkPoolWorker-7:\n", + "Process ForkPoolWorker-8:\n", + "Process ForkPoolWorker-3:\n", + "Process ForkPoolWorker-4:\n", + "Traceback (most recent call last):\n", + " File \"/work/francisco.jimenez/local/python-3.7.7/lib/python3.7/multiprocessing/process.py\", line 297, in _bootstrap\n", + " self.run()\n", + "Traceback (most recent call last):\n", + "Traceback (most recent call last):\n", + "Traceback (most recent call last):\n", + "Traceback (most recent call last):\n" + ] + } + ], "source": [ "mypool = Pool(nbcores)\n", "mypool.size = nbcores\n", @@ -481,7 +550,7 @@ "metadata": {}, "outputs": [], "source": [ - "w, tau = rdown.QNM_spectrum()\n", + "w, tau = rdown.QNM_spectrum(mf, af)\n", "pars = w, tau, mf, af, npamps \n", "truths = rd_ut.get_truths(model,pars,fitnoise)" ] diff --git a/code_new/Sumit/rdown.py b/code_new/Sumit/rdown.py index 29367d3..e57eb5d 100644 --- a/code_new/Sumit/rdown.py +++ b/code_new/Sumit/rdown.py @@ -59,12 +59,12 @@ class Ringdown_Spectrum: self.tau=-1/(np.imag(omegas_new))*self.mf - def QNM_spectrum(self): + def QNM_spectrum(self,mass,spin): """ It computes the RD frequencies and damping times in NR units. """ - omegas_new=np.asarray([self.grav_220[i](a=self.af)[0] for i in range (0,self.n+1)]) - w_m_a = (np.real(omegas_new))/self.mf - tau_m_a=-1/(np.imag(omegas_new))*self.mf + omegas_new=np.asarray([self.grav_220[i](a=spin)[0] for i in range (0,self.n+1)]) + w_m_a = (np.real(omegas_new))/mass + tau_m_a=-1/(np.imag(omegas_new))*mass return (w_m_a, tau_m_a) @@ -159,7 +159,7 @@ class Ringdown_Spectrum: ansatz = 0 for i in range (0,self.dim): - ansatz += (xvars[i]*np.exp(1j*yvars[i]))*np.exp(-self.time/tau[i]) * (np.cos(w[i]*self.time)-1j*np.sin(w[i]*self.time)) + ansatz += (xvars[i]*np.exp(1j*yvars[i]))*np.exp(-self.time/self.tau[i]) * (np.cos(self.w[i]*self.time)-1j*np.sin(self.w[i]*self.time)) # -1j to agree with SXS convention return ansatz @@ -200,10 +200,10 @@ class Ringdown_Spectrum: mass_vars = theta[-2] spin_vars = theta[-1] - w_m_a , tau_m_a = QNM_spectrum() + w_m_a , tau_m_a = self.dict_omega[self.qnm_model](mass_vars,spin_vars) ansatz = 0 - for i in range (0,dim): - ansatz += (xvars[i]*np.exp(1j*yvars[i]))*np.exp(-timesrd_final_tsh/tau_m_a[i]) * (np.cos(w_m_a[i]*timesrd_final_tsh)-1j*np.sin(w_m_a[i]*timesrd_final_tsh)) + for i in range (0,self.dim): + ansatz += (xvars[i]*np.exp(1j*yvars[i]))*np.exp(-self.time/tau_m_a[i]) * (np.cos(w_m_a[i]*self.time)-1j*np.sin(w_m_a[i]*self.time)) # -1j to agree with SXS convention return ansatz \ No newline at end of file -- GitLab