diff --git a/docs/src/1_examples/2_accretion_disk/accrDisks_calcHRM_Plons.ipynb b/docs/src/1_examples/2_accretion_disk/accrDisks_calcHRM_Plons.ipynb
index c3ae643..ba048f7 100644
--- a/docs/src/1_examples/2_accretion_disk/accrDisks_calcHRM_Plons.ipynb
+++ b/docs/src/1_examples/2_accretion_disk/accrDisks_calcHRM_Plons.ipynb
@@ -62,13 +62,13 @@
     "    r_step         = 0.01\n",
     "\n",
     "    # Calculate arrays with radii, disk mass, relative addes mass, and scale heights\n",
-    "    r_array,totalMassDisk,rel_mass_added,SH_array =  ad.get_SH_diskMass_radius(lowerR,r_step,thetaArray,dumpData,maxH,n_grid,run,crit,xH,phiQuadr = False, printOut = printOut)\n",
+    "    r_array,totalMassDisk,rel_mass_added,SH_array,Sigma_array,SigmaTheor_array,Tau_array,TauTheor_array =  ad.get_SH_diskMass_radius(lowerR,r_step,thetaArray,dumpData,maxH,n_grid,run,crit,xH,phiQuadr = False, printOut = printOut)\n",
     "    \n",
     "    '''\n",
     "    Write data for full theta region in txt file infoAccrDisk_wind_00....txt\n",
     "    '''\n",
     "    testLimit = crit\n",
-    "\n",
+    "    \n",
     "    title = os.path.join(run,'plotsAnalysis/infoAccrDisk_wind_00'+str(dump)+'_'+xH+'.txt')\n",
     "    with open (title,'w') as f:\n",
     "        f.write('Model '+str(run)+'wind_00'+str(dump)+'\\n')\n",
@@ -82,11 +82,11 @@
     "        f.write('\\n')\n",
     "        f.write('\\n')\n",
     "        f.write('for rstep '+ str(r_step)+ ' au (=racc):'+'\\n')\n",
-    "        names = ['r [au]', 'SH [au]', 'Mtot [Msun]', 'Mrel/rstep []', 'Mrel []']\n",
-    "        f.write(\"{: <30} {: <30} {: <30}  {: <30} {: <30} \".format(*names))\n",
-    "        col_format = \"{:<31}\" * 5 + \"\\n\"   # 5 left-justfied columns with 15 character width\n",
+    "        names = ['r [au]', 'SH [au]', 'Mtot [Msun]', 'Mrel/rstep []', 'Sigma []','Sigma Theor []','OptDepth []','OptDepthTheor []']\n",
+    "        f.write(\"{: <30} {: <30} {: <30} {: <30} {: <30} {: <30} {: <30} {: <30}\".format(*names))\n",
+    "        col_format = \"{:<31}\" * 8 + \"\\n\"   # 5 left-justfied columns with 15 character width\n",
     "        f.write('\\n')\n",
-    "        for i in zip(np.round(r_array/cgs.au,2),np.round(SH_array/cgs.au,4),np.round(totalMassDisk/cgs.Msun,13),np.round(rel_mass_added/r_step,3),np.round(rel_mass_added,3)):\n",
+    "        for i in zip(np.round(r_array/cgs.au,2),np.round(SH_array/cgs.au,4),np.round(totalMassDisk/cgs.Msun,13),np.round(rel_mass_added/r_step,3),np.round(Sigma_array,4),np.round(SigmaTheor_array,4),np.round(Tau_array,3),np.round(TauTheor_array,3)):\n",
     "            f.write(col_format.format(*i))\n",
     "\n",
     "    '''\n",
@@ -101,11 +101,16 @@
     "    '''\n",
     "    Make plots of relative added mass, total disk mass, and scale heights ifo r\n",
     "    '''\n",
-    "    fig, axs = plt.subplots(nrows = 1, ncols= 3 , figsize=(14, 5))\n",
-    "\n",
+    "    if xH == '1H':\n",
+    "        fig, axs = plt.subplots(nrows = 1, ncols= 5 , figsize=(23, 5))\n",
+    "    else:\n",
+    "        fig, axs = plt.subplots(nrows = 1, ncols= 3 , figsize=(14, 5))\n",
     "    ad.plot_relAddedMass(axs[0], r_array,rel_mass_added,r_step,crit)\n",
     "    ad.plot_totalDiskMass(axs[1], r_array,totalMassDisk)\n",
     "    ad.plot_scaleHeights(axs[2], r_array,SH_array)\n",
+    "    if xH == '1H':\n",
+    "        ad.plot_surfDensity(axs[3],r_array,Sigma_array,SigmaTheor_array)\n",
+    "        ad.plot_opticalDepth(axs[4],r_array,Tau_array,TauTheor_array)\n",
     "    \n",
     "    return fig"
    ]
@@ -189,30 +194,38 @@
     "    '''\n",
     "    testLimit = crit\n",
     "    # calculate scale height and mass estimates at each r for this setup\n",
-    "    r_array1,totalMassDisk1,rel_mass_added1,SH_array1 =  ad.get_SH_diskMass_radius(lowerR,r_step1,thetaArray1,dumpData,maxH,n_grid,run,crit,xH,phiQuadr=True)\n",
+    "    r_array1,totalMassDisk1,rel_mass_added1,SH_array1,Sigma_array1,SigmaTheor_array1,Tau_array1,TauTheor_array1 =  ad.get_SH_diskMass_radius(lowerR,r_step1,thetaArray1,dumpData,maxH,n_grid,run,crit,xH,phiQuadr=True)\n",
     "    title = os.path.join(run,'plotsAnalysis/infoAccrDisk_theta~0_wind_00'+str(dump)+'_'+xH+'.txt')\n",
-    "    ad.writeFile(title,r_step1,testLimit,r_array1,rel_mass_added1,totalMassDisk1,SH_array1)\n",
+    "    ad.writeFile(title,r_step1,testLimit,r_array1,rel_mass_added1,totalMassDisk1,SH_array1,Sigma_array1,SigmaTheor_array1,Tau_array1,TauTheor_array1)\n",
     "    \n",
-    "    r_array2,totalMassDisk2,rel_mass_added2,SH_array2 =  ad.get_SH_diskMass_radius(lowerR,r_step1,thetaArray2,dumpData,maxH,n_grid,run,crit,xH,phiQuadr=True)\n",
+    "    r_array2,totalMassDisk2,rel_mass_added2,SH_array2,Sigma_array2,SigmaTheor_array2,Tau_array2,TauTheor_array2 =  ad.get_SH_diskMass_radius(lowerR,r_step1,thetaArray2,dumpData,maxH,n_grid,run,crit,xH,phiQuadr=True)\n",
     "    title = os.path.join(run,'plotsAnalysis/infoAccrDisk_theta~pi:2_wind_00'+str(dump)+'_'+xH+'.txt')\n",
-    "    ad.writeFile(title,r_step1,testLimit,r_array2,rel_mass_added2,totalMassDisk2,SH_array2)\n",
+    "    ad.writeFile(title,r_step1,testLimit,r_array2,rel_mass_added2,totalMassDisk2,SH_array2,Sigma_array2,SigmaTheor_array2,Tau_array2,TauTheor_array2)\n",
     "\n",
-    "    r_array3,totalMassDisk3,rel_mass_added3,SH_array3 =  ad.get_SH_diskMass_radius(lowerR,r_step3,thetaArray3,dumpData,maxH,n_grid,run,crit,xH,phiQuadr=True)\n",
+    "    r_array3,totalMassDisk3,rel_mass_added3,SH_array3,Sigma_array3,SigmaTheor_array3,Tau_array3,TauTheor_array3 =  ad.get_SH_diskMass_radius(lowerR,r_step3,thetaArray3,dumpData,maxH,n_grid,run,crit,xH,phiQuadr=True)\n",
     "    title = os.path.join(run,'plotsAnalysis/infoAccrDisk_theta~pi_wind_00'+str(dump)+'_'+xH+'.txt')\n",
-    "    ad.writeFile(title,r_step3,testLimit,r_array3,rel_mass_added3,totalMassDisk3,SH_array3)\n",
+    "    ad.writeFile(title,r_step3,testLimit,r_array3,rel_mass_added3,totalMassDisk3,SH_array3,Sigma_array3,SigmaTheor_array3,Tau_array3,TauTheor_array3)\n",
     "\n",
-    "    r_array4,totalMassDisk4,rel_mass_added4,SH_array4 =  ad.get_SH_diskMass_radius(lowerR,r_step1,thetaArray4,dumpData,maxH,n_grid,run,crit,xH,phiQuadr=True)\n",
+    "    r_array4,totalMassDisk4,rel_mass_added4,SH_array4,Sigma_array4,SigmaTheor_array4,Tau_array4,TauTheor_array4 =  ad.get_SH_diskMass_radius(lowerR,r_step1,thetaArray4,dumpData,maxH,n_grid,run,crit,xH,phiQuadr=True)\n",
     "    title = os.path.join(run,'plotsAnalysis/infoAccrDisk_theta~pi3:2_wind_00'+str(dump)+'_'+xH+'.txt')\n",
-    "    ad.writeFile(title,r_step1,testLimit,r_array4,rel_mass_added4,totalMassDisk4,SH_array4)\n",
+    "    ad.writeFile(title,r_step1,testLimit,r_array4,rel_mass_added4,totalMassDisk4,SH_array4,Sigma_array4,SigmaTheor_array4,Tau_array4,TauTheor_array4)\n",
     "    \n",
     "    \n",
     "    '''\n",
     "    Construct plots\n",
     "    '''\n",
-    "    fig, axs = plt.subplots(nrows = 1, ncols= 3 , figsize=(14, 5))\n",
+    "    if xH == '1H':\n",
+    "        fig, axs = plt.subplots(nrows = 1, ncols= 5 , figsize=(23, 5))\n",
+    "    else:\n",
+    "        fig, axs = plt.subplots(nrows = 1, ncols= 3 , figsize=(14, 5))\n",
+    "        \n",
+    "    \n",
     "    ad.plot_relAddedMass_4theta(axs[0],r_array1,r_array2,r_array3,r_array4,rel_mass_added1,rel_mass_added2,rel_mass_added3,rel_mass_added4,r_step1,r_step3,crit)\n",
     "    ad.plot_totalDiskMass_4theta(axs[1],r_array1,r_array2,r_array3,r_array4,totalMassDisk1,totalMassDisk2,totalMassDisk3,totalMassDisk4)\n",
     "    ad.plot_scaleHeights_4theta(axs[2],r_array1,r_array2,r_array3,r_array4,SH_array1,SH_array2,SH_array3,SH_array4)\n",
+    "    if xH == '1H':\n",
+    "        ad.plot_surfDensity_4theta(axs[3],r_array1,r_array2,r_array3,r_array4,Sigma_array1,Sigma_array2,Sigma_array3,Sigma_array4)\n",
+    "        ad.plot_opticalDepth_4theta(axs[4],r_array1,r_array2,r_array3,r_array4,Tau_array1,Tau_array2,Tau_array3,Tau_array4)\n",
     "    return fig"
    ]
   },
@@ -375,20 +388,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {
     "tags": []
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/lhome/jolienm/anaconda3/envs/plons/lib/python3.10/site-packages/numpy/core/fromnumeric.py:3464: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "/lhome/jolienm/anaconda3/envs/plons/lib/python3.10/site-packages/numpy/core/_methods.py:192: RuntimeWarning: invalid value encountered in scalar divide\n",
+      "  ret = ret.dtype.type(ret / rcount)\n"
+     ]
+    },
     {
      "data": {
+      "image/png": "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",
       "text/plain": [
-       "'\\nExample\\n'"
+       "<Figure size 1400x500 with 3 Axes>"
       ]
      },
-     "execution_count": 1,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -401,7 +424,7 @@
     "#Non-eccentric runs --> use final full dump; do calculations for both scale height options and for both the full thetaregion and the four quadrants seperately to study asymmetries\n",
     "run  = os.path.join(dir, 'v20e00_T3000_res8_racc01/')\n",
     "dump = 292\n",
-    "main(run,dump,['2H'],full=True,quadrants=True)"
+    "main(run,dump,['2H'],full=True,quadrants=False)"
    ]
   },
   {
@@ -410,7 +433,48 @@
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/lhome/jolienm/anaconda3/envs/plons/lib/python3.10/site-packages/numpy/core/fromnumeric.py:3464: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "/lhome/jolienm/anaconda3/envs/plons/lib/python3.10/site-packages/numpy/core/_methods.py:192: RuntimeWarning: invalid value encountered in scalar divide\n",
+      "  ret = ret.dtype.type(ret / rcount)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n",
+      "!! At this theta direction, you are no longer in the disk or you set your maxH too small!!\n"
+     ]
+    }
+   ],
    "source": [
     "'''\n",
     "Example\n",
@@ -419,26 +483,26 @@
     "dir = '/lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/'\n",
     "\n",
     "#Non-eccentric runs --> use final full dump; do calculations for both scale height options and for both the full thetaregion and the four quadrants seperately to study asymmetries\n",
-    "run  = os.path.join(dir, 'v20e00_T3000_res8_racc01/')\n",
-    "dump = 292\n",
-    "main(run,dump,['1H','2H'],full=True,quadrants=True)\n",
+    "# run  = os.path.join(dir, 'v20e00_T3000_res8_racc01/')\n",
+    "# dump = 292\n",
+    "# main(run,dump,['1H','2H'],full=True,quadrants=True)\n",
     "\n",
-    "run  = os.path.join(dir, 'v10e00_T3000_res8_racc01/')\n",
-    "dump = 292\n",
-    "main(run,dump,['1H','2H'],full=True,quadrants=True)\n",
+    "# run  = os.path.join(dir, 'v10e00_T3000_res8_racc01/')\n",
+    "# dump = 292\n",
+    "# main(run,dump,['1H','2H'],full=True,quadrants=True)\n",
     "\n",
-    "run  = os.path.join(dir, 'v05e00_T3000_res8_racc01/')\n",
-    "dump = 292\n",
-    "main(run,dump,['1H','2H'],full=True,quadrants=True)\n",
+    "# run  = os.path.join(dir, 'v05e00_T3000_res8_racc01/')\n",
+    "# dump = 292\n",
+    "# main(run,dump,['1H','2H'],full=True,quadrants=True)\n",
     "\n",
     "\n",
     "##eccentric runs --> Select interesting dumps throughout last orbit, compare calculations for full theta region\n",
     "\n",
     "run  = os.path.join(dir, 'v05e50_T3000_res8_racc01/')\n",
     "dump = 245\n",
-    "main(run,dump,['1H','2H'],full=True,quadrants=False)\n",
+    "# main(run,dump,['1H','2H'],full=True,quadrants=False)\n",
     "dump = 263\n",
-    "main(run,dump,['1H','2H'],full=True,quadrants=False)\n",
+    "# main(run,dump,['1H','2H'],full=True,quadrants=False)\n",
     "dump = 277\n",
     "main(run,dump,['1H','2H'],full=True,quadrants=False)\n",
     "dump = 292\n",
@@ -466,11 +530,37 @@
    ]
   },
   {
-   "cell_type": "markdown",
-   "metadata": {},
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
    "source": [
-    "\"Maybe add part for tests of different rsteps\""
+    "run  = os.path.join(dir, 'v05e50_T3000_res8_racc01/')\n",
+    "dump = 263\n",
+    "main(run,dump,['1H','2H'],full=True,quadrants=False)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "run  = os.path.join(dir, 'v20e00_T3000_res8_racc01/')\n",
+    "dump = 292\n",
+    "main(run,dump,['1H','2H'],full=True,quadrants=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/docs/src/1_examples/2_accretion_disk/accrDisks_plotsHRM_Plons.ipynb b/docs/src/1_examples/2_accretion_disk/accrDisks_plotsHRM_Plons.ipynb
index d76870d..081ce5c 100644
--- a/docs/src/1_examples/2_accretion_disk/accrDisks_plotsHRM_Plons.ipynb
+++ b/docs/src/1_examples/2_accretion_disk/accrDisks_plotsHRM_Plons.ipynb
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 17,
    "id": "b19df198-1d17-457e-b50d-f8219ec55da1",
    "metadata": {
     "tags": []
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 18,
    "id": "e45f77b8-b1c2-46ee-bf8f-8c6fa12ad012",
    "metadata": {
     "tags": []
@@ -42,13 +42,17 @@
     "    run    = '/lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/'+str(model)+'_T3000_res8_racc01/'\n",
     "    fig1, ax1 = plt.subplots()\n",
     "    fig2, ax2 = plt.subplots()\n",
+    "    fig3, ax3 = plt.subplots()\n",
+    "    fig4, ax4 = plt.subplots()\n",
     "    lineStyles = ['-.','--','-',':']\n",
     "    i = 0\n",
     "    for dump in dumps:\n",
     "        # For all dumps, read in info about r, scale heights, mass\n",
-    "        (r,SH,Mtot,MrelRstep) = ad.readInfoAccrDisk(run,dump,xH)\n",
+    "        (r,SH,Mtot,MrelRstep,Sigma,SigmaT,tau,tauT) = ad.readInfoAccrDisk(run,dump,xH)\n",
     "        ax1.plot(r[1:],(SH[1:]),linestyle = lineStyles[i],label=str(dump))#,c = CB_color_cycle[2*i+1])\n",
     "        ax2.plot(r[1:],(Mtot[1:]),linestyle = lineStyles[i],label=str(dump))#,c = CB_color_cycle[2*i+1])\n",
+    "        ax3.plot(r[1:],(Sigma[1:]),linestyle = lineStyles[i],label=str(dump))#,c = CB_color_cycle[2*i+1])\n",
+    "        ax4.plot(r[1:],(tau[1:]),linestyle = lineStyles[i],label=str(dump))#,c = CB_color_cycle[2*i+1])\n",
     "        i = i+1\n",
     "        \n",
     "    # Construct plots\n",
@@ -64,13 +68,27 @@
     "    ax2.tick_params(axis='x', labelsize=12)\n",
     "    ax2.tick_params(axis='y', labelsize=12)\n",
     "\n",
+    "    ax3.legend(fontsize = 12)\n",
+    "    ax3.set_xlabel(r'r [au]',fontsize = 12)\n",
+    "    ax3.set_ylabel(r'$\\Sigma$(r) [g cm$^{-2}$]',fontsize = 12,rotation = 90)\n",
+    "    ax3.tick_params(axis='x', labelsize=12)\n",
+    "    ax3.tick_params(axis='y', labelsize=12)\n",
+    "    \n",
+    "    ax4.legend(fontsize = 12)\n",
+    "    ax4.set_xlabel(r'r [au]',fontsize = 12)\n",
+    "    ax4.set_ylabel(r'$\\tau$(r) []',fontsize = 12,rotation = 90)\n",
+    "    ax4.tick_params(axis='x', labelsize=12)\n",
+    "    ax4.tick_params(axis='y', labelsize=12)\n",
+    "    \n",
     "    fig1.savefig(run+'/plotsAnalysis/diffDumps_SHvsR_wind_00'+str(dump)+'_'+xH+'.png')\n",
-    "    fig2.savefig(run+'/plotsAnalysis/diffDumps_MvsR_wind_00'+str(dump)+'_'+xH+'.png')"
+    "    fig2.savefig(run+'/plotsAnalysis/diffDumps_MvsR_wind_00'+str(dump)+'_'+xH+'.png')\n",
+    "    fig3.savefig(run+'/plotsAnalysis/diffDumps_SigmavsR_wind_00'+str(dump)+'_'+xH+'.png')\n",
+    "    fig4.savefig(run+'/plotsAnalysis/diffDumps_TauvsR_wind_00'+str(dump)+'_'+xH+'.png')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 26,
    "id": "a2bb36de-b9ed-4009-85d8-4e72c09b74b4",
    "metadata": {
     "tags": []
@@ -85,6 +103,10 @@
     "    fig2, ax2 = plt.subplots()\n",
     "    fig3, ax3 = plt.subplots()\n",
     "    fig4, ax4 = plt.subplots()\n",
+    "    if xH == '1H':\n",
+    "        fig5, ax5 = plt.subplots()\n",
+    "        fig6, ax6 = plt.subplots()\n",
+    "    \n",
     "    lineStyles = ['-.','--',':','-','-']\n",
     "    SHmaxi = []\n",
     "    Mtmaxi = []\n",
@@ -95,11 +117,16 @@
     "    # Read in info about r, scale heights, masses and relative added mas\n",
     "    for model in modelNames:\n",
     "        run    = '/lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/'+str(model)+'_T3000_res8_racc01/'\n",
-    "        (r,SH,Mtot,MrelRstep) = ad.readInfoAccrDisk(run,dump,xH)\n",
+    "        (r,SH,Mtot,MrelRstep,Sigma,SigmaT,tau,tauT) = ad.readInfoAccrDisk(run,dump,xH)\n",
     "        ax1.plot(r[1:],(SH[1:]),linestyle = lineStyles[i],c = colors[i],label=str(model))#,c = CB_color_cycle[2*i+1])\n",
     "        ax2.plot(r[1:],(Mtot[1:]),linestyle = lineStyles[i],c = colors[i], label=str(model))#,c = CB_color_cycle[2*i+1])\n",
     "        ax3.plot(r[1:],(MrelRstep[1:]),linestyle = lineStyles[i],c = colors[i], label=str(model))#,c = CB_color_cycle[2*i+1])\n",
     "        ax4.plot(r[1:],(SH[1:]/r[1:]),linestyle = lineStyles[i],c = colors[i],label=str(model))#,c = CB_color_cycle[2*i+1])\n",
+    "        if xH == '1H':\n",
+    "            ax5.plot(r[1:],Sigma[1:],linestyle = lineStyles[i],c = colors[i],label=str(model))#,c = CB_color_cycle[2*i+1])\n",
+    "            ax6.plot(r[1:],tau[1:],linestyle = lineStyles[i],c = colors[i],label=str(model))#,c = CB_color_cycle[2*i+1])\n",
+    "            ax5.plot(r[1:],SigmaT[1:],linestyle = '-',linewidth = 0.4,c = colors[i])#,c = CB_color_cycle[2*i+1])\n",
+    "            ax6.plot(r[1:],tauT[1:],linestyle = '-',linewidth = 0.4,c = colors[i])#,c = CB_color_cycle[2*i+1])\n",
     "        maxXM = np.max(r[1:])\n",
     "        SHmaxi = np.append(SHmaxi,np.max(SH[1:]))\n",
     "        Mtmaxi = np.append(Mtmaxi,np.max(Mtot[1:]))\n",
@@ -144,16 +171,34 @@
     "    ax4.tick_params(axis='x', labelsize=12)\n",
     "    ax4.tick_params(axis='y', labelsize=12)\n",
     "    # ax4.vlines(x=radii,ymin = 0, ymax = Mtmaxi, color = colors,linestyle = ':',linewidth=0.6)#, label ='r')\n",
+    "    \n",
+    "    if xH == '1H':\n",
+    "        ax5.legend(fontsize = 12)\n",
+    "        ax5.set_xlabel(r'r [au]',fontsize = 12)\n",
+    "        ax5.set_ylabel(r'$\\Sigma$(r) [g cm$^{-2}$]',fontsize = 12,rotation = 90)\n",
+    "        ax5.tick_params(axis='x', labelsize=12)\n",
+    "        ax5.tick_params(axis='y', labelsize=12)\n",
     "\n",
+    "        ax6.set_xlabel(r'r [au]',fontsize = 12)\n",
+    "        ax6.set_ylabel(r'$\\tau$(r) []',fontsize = 12,rotation = 90)\n",
+    "        ax6.tick_params(axis='x', labelsize=12)\n",
+    "        ax6.tick_params(axis='y', labelsize=12)\n",
+    "        ax6.hlines(y=1,xmin=0,xmax=maxX,linewidth = 0.5, color = 'k',linestyle = 'dotted',label=r'$\\tau$ = 1')\n",
+    "        ax6.legend(fontsize = 12)\n",
+    "\n",
+    "    \n",
     "    fig1.savefig('/lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/plotsAnalysis/e00Models_SHvsR_wind_00'+str(dump)+'_'+xH+'.png')\n",
     "    fig2.savefig('/lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/plotsAnalysis/e00Models_MvsR_wind_00'+str(dump)+'_'+xH+'.png')\n",
     "    fig3.savefig('/lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/plotsAnalysis/e00Models_Mrel:rstep_wind_00'+str(dump)+'_'+xH+'.png')\n",
-    "    fig4.savefig('/lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/plotsAnalysis/e00Models_SH:r_wind_00'+str(dump)+'_'+xH+'.png')\n"
+    "    fig4.savefig('/lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/plotsAnalysis/e00Models_SH:r_wind_00'+str(dump)+'_'+xH+'.png')\n",
+    "    if xH == '1H':\n",
+    "        fig5.savefig('/lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/plotsAnalysis/e00Models_Sigma_wind_00'+str(dump)+'_'+xH+'.png')\n",
+    "        fig6.savefig('/lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/plotsAnalysis/e00Models_Tau_wind_00'+str(dump)+'_'+xH+'.png')\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 20,
    "id": "f4fe4de3-40e3-4135-a8d8-70243a5a92a7",
    "metadata": {
     "tags": []
@@ -169,7 +214,15 @@
     "    lineStyles = ['-.','--',':','-','-']\n",
     "    colors = ['firebrick','goldenrod','navy','lime','k']\n",
     "    \n",
-    "    fig, ((ax1),(ax2)) = plt.subplots(nrows = 1, ncols= 2 , figsize=(19, 7))\n",
+    "    fig1, ax1 = plt.subplots()\n",
+    "    fig2, ax2 = plt.subplots()\n",
+    "    if xH == '1H':\n",
+    "        fig3, ax3 = plt.subplots()\n",
+    "#     if xH == '1H':\n",
+    "#         fig, ((ax1),(ax2),(ax3)) = plt.subplots(nrows = 1, ncols= 3 , figsize=(30, 7))\n",
+    "#     else:\n",
+    "#         fig, ((ax1),(ax2)) = plt.subplots(nrows = 1, ncols= 2 , figsize=(20, 7))\n",
+    "        \n",
     "    # read files with data for r, scale height and mass for different theta regions\n",
     "    # safe maximal scale heights, radii and masses for plot\n",
     "    SHmaxi = []\n",
@@ -178,16 +231,18 @@
     "    i = 0\n",
     "    for theta in thetas:\n",
     "        file = os.path.join(run,'plotsAnalysis/infoAccrDisk_theta~'+str(theta)+'_wind_00'+str(dump)+'_'+xH+'.txt')\n",
-    "        (r, SH, Mtot) = np.loadtxt(file, skiprows=11, usecols=(0,1,2), unpack=True)\n",
+    "        (r, SH, Mtot,Sigma) = np.loadtxt(file, skiprows=11, usecols=(0,1,2,4), unpack=True)\n",
     "        ax1.plot(r[1:],(SH[1:]),linestyle = lineStyles[i],color = colors[i],label=r'$\\theta \\sim$'+str(theta))#,c = CB_color_cycle[2*i+1])\n",
     "        ax2.plot(r[1:],(Mtot[1:]),linestyle = lineStyles[i],color = colors[i],label=r'$\\theta \\sim$'+str(theta))#,c = CB_color_cycle[2*i+1])\n",
+    "        if xH == '1H':\n",
+    "            ax3.plot(r[1:],(Sigma[1:]),linestyle = lineStyles[i],color = colors[i],label=r'$\\theta \\sim$'+str(theta))#,c = CB_color_cycle[2*i+1])\n",
     "        SHmaxi = np.append(SHmaxi,np.max(SH))\n",
     "        radii  = np.append(radii ,np.max(r))\n",
     "        masses = np.append(masses,np.max(Mtot))\n",
     "        i = i+1\n",
     "\n",
     "    # Same for full dump\n",
-    "    (r,SH,Mtot,MrelRstep) = ad.readInfoAccrDisk(run,dump,xH)\n",
+    "    (r,SH,Mtot,MrelRstep,Sigma,SigmaT,tau,tauT) = ad.readInfoAccrDisk(run,dump,xH)\n",
     "    SHmaxi = np.append(SHmaxi,np.max(SH))\n",
     "    radii  = np.append(radii ,np.max(r))\n",
     "    masses = np.append(masses,np.max(Mtot))\n",
@@ -196,27 +251,41 @@
     "    ax1.plot(r[1:],(SH[1:]),linestyle = lineStyles[i],label='full',color = colors[i],linewidth = 0.6)#,c = CB_color_cycle[2*i+1])\n",
     "    ax1.hlines(y=SHmaxi,xmin=0,xmax=radii,linewidth = 0.6, color = colors,linestyle = ':')#,label='criterium')\n",
     "    ax1.vlines(x=radii,ymin = 0, ymax = SHmaxi, color = colors,linestyle = ':',linewidth=0.6)#, label ='r')\n",
-    "    ax1.legend(fontsize = 16)\n",
-    "    ax1.set_xlabel(r'r [au]',fontsize = 16)\n",
-    "    ax1.set_ylabel(xH+r'(r) [au]',fontsize = 16,rotation = 90)\n",
-    "    ax1.tick_params(axis='x', labelsize=16)\n",
-    "    ax1.tick_params(axis='y', labelsize=16)\n",
+    "    # ax1.legend(fontsize = 12)\n",
+    "    ax1.set_xlabel(r'r [au]',fontsize = 12)\n",
+    "    ax1.set_ylabel(xH+r'(r) [au]',fontsize = 12,rotation = 90)\n",
+    "    ax1.tick_params(axis='x', labelsize=12)\n",
+    "    ax1.tick_params(axis='y', labelsize=12)\n",
     "    ax1.set_xlim(0.02,1.01*np.max(radii))\n",
     "    ax1.set_ylim(0.005,1.01*np.max(SHmaxi))\n",
     "\n",
     "    ax2.plot(r[1:],(Mtot[1:]),linestyle = lineStyles[i],label='full',color = colors[i],linewidth = 0.6)#,c = CB_color_cycle[2*i+1])\n",
     "    ax2.hlines(y=masses,xmin=0,xmax=radii,linewidth = 0.6, color = colors,linestyle = ':')#,label='criterium')\n",
     "    ax2.vlines(x=radii,ymin = 0, ymax = masses, color = colors,linestyle = ':',linewidth=0.6)#, label ='r')\n",
-    "    # ax2.legend(fontsize = 16)\n",
-    "    ax2.set_xlabel(r'r [au]',fontsize = 16)\n",
-    "    ax2.set_ylabel(r'M(r) [$M_\\odot$]',fontsize = 16,rotation = 90)\n",
-    "    ax2.tick_params(axis='x', labelsize=16)\n",
-    "    ax2.tick_params(axis='y', labelsize=16)\n",
-    "\n",
+    "    # ax2.legend(fontsize = 12)\n",
+    "    ax2.set_xlabel(r'r [au]',fontsize = 12)\n",
+    "    ax2.set_ylabel(r'M(r) [$M_\\odot$]',fontsize = 12,rotation = 90)\n",
+    "    ax2.tick_params(axis='x', labelsize=12)\n",
+    "    ax2.tick_params(axis='y', labelsize=12)\n",
     "    ax2.set_xlim(0.02,1.01*np.max(radii))\n",
     "    ax2.set_ylim(0,1.01*np.max(masses))\n",
+    "    \n",
+    "    if xH == '1H':\n",
+    "        ax3.plot(r[1:],(Sigma[1:]),linestyle = lineStyles[i],label='full',color = colors[i],linewidth = 0.6)#,c = CB_color_cycle[2*i+1])\n",
+    "        ax3.hlines(y=1./3.,xmin=0,xmax=np.max(radii),linewidth = 0.6, color = 'k',linestyle = ':',label=r'$\\tau = 1$')\n",
+    "        # ax3.vlines(x=radii,ymin = 0, ymax = masses, color = colors,linestyle = ':',linewidth=0.6)#, label ='r')\n",
+    "        # ax3.legend(fontsize = 16)\n",
+    "        ax3.legend(fontsize = 12)\n",
+    "        ax3.set_xlabel(r'r [au]',fontsize = 12)\n",
+    "        ax3.set_ylabel(r'$\\Sigma$ (r) [g cm$^{-2}$]',fontsize = 12,rotation = 90)\n",
+    "        ax3.tick_params(axis='x', labelsize=12)\n",
+    "        ax3.tick_params(axis='y', labelsize=12)\n",
     "\n",
-    "    fig.savefig(run+'/plotsAnalysis/diffThetas_SH_M_R_wind_00'+str(dump)+'_'+xH+'.png')"
+    "    # fig.savefig(run+'/plotsAnalysis/diffThetas_SH_M_Sigma_R_wind_00'+str(dump)+'_'+xH+'.png')\n",
+    "    fig1.savefig(run+'/plotsAnalysis/diffTh_SH_r_wind_00'+str(dump)+'_'+xH+'.png')\n",
+    "    fig2.savefig(run+'/plotsAnalysis/diffTh_M_r_wind_00'+str(dump)+'_'+xH+'.png')\n",
+    "    if xH == '1H':\n",
+    "        fig3.savefig(run+'/plotsAnalysis/diffTh_Sigma_r_wind_00'+str(dump)+'_'+xH+'.png')"
    ]
   },
   {
@@ -229,21 +298,112 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 28,
    "id": "d1bbf165-01d9-4725-953c-d471e63b6966",
    "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    },
     "tags": []
    },
    "outputs": [
+    {
+     "ename": "FileNotFoundError",
+     "evalue": "/lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/v05e50_T3000_res8_racc01/plotsAnalysis/infoAccrDisk_wind_00263_2H.txt not found.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[28], line 23\u001b[0m\n\u001b[1;32m     21\u001b[0m model \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mv05e50\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m     22\u001b[0m dumps \u001b[38;5;241m=\u001b[39m [\u001b[38;5;241m245\u001b[39m,\u001b[38;5;241m263\u001b[39m,\u001b[38;5;241m277\u001b[39m,\u001b[38;5;241m292\u001b[39m]\n\u001b[0;32m---> 23\u001b[0m \u001b[43mplotHM_diffDumps\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43mdumps\u001b[49m\u001b[43m,\u001b[49m\u001b[43mxH\u001b[49m\u001b[43m)\u001b[49m\n",
+      "Cell \u001b[0;32mIn[18], line 14\u001b[0m, in \u001b[0;36mplotHM_diffDumps\u001b[0;34m(model, dumps, xH)\u001b[0m\n\u001b[1;32m     11\u001b[0m i \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m     12\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m dump \u001b[38;5;129;01min\u001b[39;00m dumps:\n\u001b[1;32m     13\u001b[0m     \u001b[38;5;66;03m# For all dumps, read in info about r, scale heights, mass\u001b[39;00m\n\u001b[0;32m---> 14\u001b[0m     (r,SH,Mtot,MrelRstep,Sigma,SigmaT,tau,tauT) \u001b[38;5;241m=\u001b[39m \u001b[43mad\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreadInfoAccrDisk\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m,\u001b[49m\u001b[43mdump\u001b[49m\u001b[43m,\u001b[49m\u001b[43mxH\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     15\u001b[0m     ax1\u001b[38;5;241m.\u001b[39mplot(r[\u001b[38;5;241m1\u001b[39m:],(SH[\u001b[38;5;241m1\u001b[39m:]),linestyle \u001b[38;5;241m=\u001b[39m lineStyles[i],label\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mstr\u001b[39m(dump))\u001b[38;5;66;03m#,c = CB_color_cycle[2*i+1])\u001b[39;00m\n\u001b[1;32m     16\u001b[0m     ax2\u001b[38;5;241m.\u001b[39mplot(r[\u001b[38;5;241m1\u001b[39m:],(Mtot[\u001b[38;5;241m1\u001b[39m:]),linestyle \u001b[38;5;241m=\u001b[39m lineStyles[i],label\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mstr\u001b[39m(dump))\u001b[38;5;66;03m#,c = CB_color_cycle[2*i+1])\u001b[39;00m\n",
+      "File \u001b[0;32m~/anaconda3/envs/plons/lib/python3.10/site-packages/plons/AccrDisk.py:810\u001b[0m, in \u001b[0;36mreadInfoAccrDisk\u001b[0;34m(run, dump, xH)\u001b[0m\n\u001b[1;32m    807\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mreadInfoAccrDisk\u001b[39m(run,dump,xH):\n\u001b[1;32m    808\u001b[0m     \u001b[38;5;66;03m# return r, SH, Mtot, MrelRstep,Mrel\u001b[39;00m\n\u001b[1;32m    809\u001b[0m     file \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(run,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mplotsAnalysis/infoAccrDisk_wind_00\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m+\u001b[39m\u001b[38;5;28mstr\u001b[39m(dump)\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m+\u001b[39mxH\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.txt\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m--> 810\u001b[0m     (r, SH, Mtot,MrelRstep,Sigma,SigmaT,tau,tauT) \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloadtxt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mskiprows\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m11\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43musecols\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m4\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m6\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m7\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43munpack\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m    811\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m r, SH, Mtot,MrelRstep,Sigma,SigmaT,tau,tauT\n",
+      "File \u001b[0;32m~/anaconda3/envs/plons/lib/python3.10/site-packages/numpy/lib/npyio.py:1356\u001b[0m, in \u001b[0;36mloadtxt\u001b[0;34m(fname, dtype, comments, delimiter, converters, skiprows, usecols, unpack, ndmin, encoding, max_rows, quotechar, like)\u001b[0m\n\u001b[1;32m   1353\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(delimiter, \u001b[38;5;28mbytes\u001b[39m):\n\u001b[1;32m   1354\u001b[0m     delimiter \u001b[38;5;241m=\u001b[39m delimiter\u001b[38;5;241m.\u001b[39mdecode(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlatin1\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m-> 1356\u001b[0m arr \u001b[38;5;241m=\u001b[39m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomment\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcomment\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdelimiter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdelimiter\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1357\u001b[0m \u001b[43m            \u001b[49m\u001b[43mconverters\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconverters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mskiplines\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mskiprows\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43musecols\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43musecols\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1358\u001b[0m \u001b[43m            \u001b[49m\u001b[43munpack\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43munpack\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mndmin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mndmin\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1359\u001b[0m \u001b[43m            \u001b[49m\u001b[43mmax_rows\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmax_rows\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mquote\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mquotechar\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1361\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m arr\n",
+      "File \u001b[0;32m~/anaconda3/envs/plons/lib/python3.10/site-packages/numpy/lib/npyio.py:975\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(fname, delimiter, comment, quote, imaginary_unit, usecols, skiplines, max_rows, converters, ndmin, unpack, dtype, encoding)\u001b[0m\n\u001b[1;32m    973\u001b[0m     fname \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mfspath(fname)\n\u001b[1;32m    974\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(fname, \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m--> 975\u001b[0m     fh \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlib\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_datasource\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrt\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    976\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m encoding \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    977\u001b[0m         encoding \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(fh, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mencoding\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlatin1\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
+      "File \u001b[0;32m~/anaconda3/envs/plons/lib/python3.10/site-packages/numpy/lib/_datasource.py:193\u001b[0m, in \u001b[0;36mopen\u001b[0;34m(path, mode, destpath, encoding, newline)\u001b[0m\n\u001b[1;32m    156\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    157\u001b[0m \u001b[38;5;124;03mOpen `path` with `mode` and return the file object.\u001b[39;00m\n\u001b[1;32m    158\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    189\u001b[0m \n\u001b[1;32m    190\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    192\u001b[0m ds \u001b[38;5;241m=\u001b[39m DataSource(destpath)\n\u001b[0;32m--> 193\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnewline\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/anaconda3/envs/plons/lib/python3.10/site-packages/numpy/lib/_datasource.py:533\u001b[0m, in \u001b[0;36mDataSource.open\u001b[0;34m(self, path, mode, encoding, newline)\u001b[0m\n\u001b[1;32m    530\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m _file_openers[ext](found, mode\u001b[38;5;241m=\u001b[39mmode,\n\u001b[1;32m    531\u001b[0m                               encoding\u001b[38;5;241m=\u001b[39mencoding, newline\u001b[38;5;241m=\u001b[39mnewline)\n\u001b[1;32m    532\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 533\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "\u001b[0;31mFileNotFoundError\u001b[0m: /lhome/jolienm/Documents/TierModels/R_Aql/cooling/binariesInPaper/finalAccrDisks/v05e50_T3000_res8_racc01/plotsAnalysis/infoAccrDisk_wind_00263_2H.txt not found."
+     ]
+    },
     {
      "data": {
+      "image/png": "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",
       "text/plain": [
-       "'\\nPlot of scale heights and total mass ifo r for 1 model, different dumps\\n'"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "execution_count": 1,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjgAAAGdCAYAAAAfTAk2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAAf30lEQVR4nO3dfWzV5f3/8deRllPR9ohUWqoFijPcBE2khNIuFbdgKd7BZJEb7ZxxjM4oAjEC4gLBhAIzjJlyM2vdNHHAFHD8wQh1CGH2AEIAO6gkarmZ9IhFOKcTV+6u7x/8OD+PpxRw/bQ9b56P5PzR61yf0+v6BO2TTz/n4HPOOQEAABhyXXsvAAAAoLUROAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADMIXAAAIA5BA4AADAnqb0X0B7Onz+vo0ePKjU1VT6fr72XAwAAroBzTo2NjcrKytJ117V8jeaaDJyjR48qOzu7vZcBAAB+gCNHjui2225rcc41GTipqamSLpygtLS0dl4NAAC4EpFIRNnZ2dGf4y25JgPn4q+l0tLSCBwAABLMldxewk3GAADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABz2iRwli5dqpycHKWkpCg3N1dbt25tcf6WLVuUm5urlJQU9enTR8uXL7/k3JUrV8rn82n06NGtvGoAAJCoPA+cVatWacqUKZo1a5Z2796twsJCjRw5UocPH252fl1dne6//34VFhZq9+7devHFFzV58mStXr06bu6hQ4f0/PPPq7Cw0OttAACABOJzzjkvv0FeXp4GDRqkZcuWRcf69++v0aNHq6ysLG7+9OnTtW7dOtXW1kbHSktLtXfvXgWDwejYuXPnNGzYMD355JPaunWrTp48qffee++K1hSJRBQIBBQOh5WWlvbDNwcAANrM1fz89vQKzunTp7Vr1y4VFRXFjBcVFam6urrZY4LBYNz8ESNGaOfOnTpz5kx0bO7cubrlllv01FNPXXYdTU1NikQiMQ8AAGCXp4HT0NCgc+fOKSMjI2Y8IyNDoVCo2WNCoVCz88+ePauGhgZJ0ocffqjKykpVVFRc0TrKysoUCASij+zs7B+wGwAAkCja5CZjn88X87VzLm7scvMvjjc2Nurxxx9XRUWF0tPTr+j7z5w5U+FwOPo4cuTIVe4AAAAkkiQvXzw9PV2dOnWKu1pz7NixuKs0F2VmZjY7PykpSd26ddO+fft08OBBPfTQQ9Hnz58/L0lKSkrSgQMHdPvtt8cc7/f75ff7W2NLAAAgAXh6Badz587Kzc1VVVVVzHhVVZUKCgqaPSY/Pz9u/saNGzV48GAlJyerX79+qqmp0Z49e6KPhx9+WD/5yU+0Z88efv0EAAC8vYIjSdOmTVNJSYkGDx6s/Px8vfbaazp8+LBKS0slXfj10RdffKG33npL0oV3TJWXl2vatGmaOHGigsGgKisrtWLFCklSSkqKBg4cGPM9brrpJkmKGwcAANcmzwNn7NixOn78uObOnav6+noNHDhQ69evV69evSRJ9fX1MZ+Jk5OTo/Xr12vq1KlasmSJsrKy9Oqrr2rMmDFeLxUAABjh+efgdER8Dg4AAImnw3wODgAAQHsgcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGBOmwTO0qVLlZOTo5SUFOXm5mrr1q0tzt+yZYtyc3OVkpKiPn36aPny5THPV1RUqLCwUF27dlXXrl01fPhw7dixw8stAACABOJ54KxatUpTpkzRrFmztHv3bhUWFmrkyJE6fPhws/Pr6up0//33q7CwULt379aLL76oyZMna/Xq1dE5mzdv1vjx4/XBBx8oGAyqZ8+eKioq0hdffOH1dgAAQALwOeecl98gLy9PgwYN0rJly6Jj/fv31+jRo1VWVhY3f/r06Vq3bp1qa2ujY6Wlpdq7d6+CwWCz3+PcuXPq2rWrysvL9Ytf/OKya4pEIgoEAgqHw0pLS/sBuwIAAG3tan5+e3oF5/Tp09q1a5eKiopixouKilRdXd3sMcFgMG7+iBEjtHPnTp05c6bZY06dOqUzZ87o5ptvbvb5pqYmRSKRmAcAALDL08BpaGjQuXPnlJGRETOekZGhUCjU7DGhUKjZ+WfPnlVDQ0Ozx8yYMUO33nqrhg8f3uzzZWVlCgQC0Ud2dvYP2A0AAEgUbXKTsc/ni/naORc3drn5zY1L0sKFC7VixQqtWbNGKSkpzb7ezJkzFQ6Ho48jR45c7RYAAEACSfLyxdPT09WpU6e4qzXHjh2Lu0pzUWZmZrPzk5KS1K1bt5jxV155RfPmzdP777+vu+6665Lr8Pv98vv9P3AXAAAg0Xh6Badz587Kzc1VVVVVzHhVVZUKCgqaPSY/Pz9u/saNGzV48GAlJydHx373u9/p5Zdf1oYNGzR48ODWXzwAAEhYnv+Katq0aXr99df1xhtvqLa2VlOnTtXhw4dVWloq6cKvj777zqfS0lIdOnRI06ZNU21trd544w1VVlbq+eefj85ZuHChXnrpJb3xxhvq3bu3QqGQQqGQ/vOf/3i9HQAAkAA8/RWVJI0dO1bHjx/X3LlzVV9fr4EDB2r9+vXq1auXJKm+vj7mM3FycnK0fv16TZ06VUuWLFFWVpZeffVVjRkzJjpn6dKlOn36tH7+85/HfK/Zs2drzpw5Xm8JAAB0cJ5/Dk5HxOfgAACQeDrM5+AAAAC0BwIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5rRJ4CxdulQ5OTlKSUlRbm6utm7d2uL8LVu2KDc3VykpKerTp4+WL18eN2f16tUaMGCA/H6/BgwYoLVr13q1fAAAkGA8D5xVq1ZpypQpmjVrlnbv3q3CwkKNHDlShw8fbnZ+XV2d7r//fhUWFmr37t168cUXNXnyZK1evTo6JxgMauzYsSopKdHevXtVUlKiRx99VNu3b/d6OwAAIAH4nHPOy2+Ql5enQYMGadmyZdGx/v37a/To0SorK4ubP336dK1bt061tbXRsdLSUu3du1fBYFCSNHbsWEUiEf3973+PzikuLlbXrl21YsWKy64pEokoEAgoHA4rLS3tf9keAABoI1fz89vTKzinT5/Wrl27VFRUFDNeVFSk6urqZo8JBoNx80eMGKGdO3fqzJkzLc651Gs2NTUpEonEPAAAgF2eBk5DQ4POnTunjIyMmPGMjAyFQqFmjwmFQs3OP3v2rBoaGlqcc6nXLCsrUyAQiD6ys7N/6JYAAEACaJObjH0+X8zXzrm4scvN//741bzmzJkzFQ6Ho48jR45c1foBAEBiSfLyxdPT09WpU6e4KyvHjh2LuwJzUWZmZrPzk5KS1K1btxbnXOo1/X6//H7/D90GAABIMJ5ewencubNyc3NVVVUVM15VVaWCgoJmj8nPz4+bv3HjRg0ePFjJycktzrnUawIAgGuLp1dwJGnatGkqKSnR4MGDlZ+fr9dee02HDx9WaWmppAu/Pvriiy/01ltvSbrwjqny8nJNmzZNEydOVDAYVGVlZcy7o5577jndc889WrBggUaNGqW//e1vev/99/XPf/7T6+0AAIAE4HngjB07VsePH9fcuXNVX1+vgQMHav369erVq5ckqb6+PuYzcXJycrR+/XpNnTpVS5YsUVZWll599VWNGTMmOqegoEArV67USy+9pN/+9re6/fbbtWrVKuXl5Xm9HQAAkAA8/xycjojPwQEAIPF0mM/BAQAAaA8EDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMzxNHBOnDihkpISBQIBBQIBlZSU6OTJky0e45zTnDlzlJWVpeuvv1733nuv9u3bF33+66+/1rPPPqu+ffuqS5cu6tmzpyZPnqxwOOzlVgAAQALxNHAmTJigPXv2aMOGDdqwYYP27NmjkpKSFo9ZuHChFi1apPLycn300UfKzMzUfffdp8bGRknS0aNHdfToUb3yyiuqqanRn//8Z23YsEFPPfWUl1sBAAAJxOecc168cG1trQYMGKBt27YpLy9PkrRt2zbl5+frk08+Ud++feOOcc4pKytLU6ZM0fTp0yVJTU1NysjI0IIFCzRp0qRmv9c777yjxx9/XN98842SkpIuu7ZIJKJAIKBwOKy0tLT/YZcAAKCtXM3Pb8+u4ASDQQUCgWjcSNLQoUMVCARUXV3d7DF1dXUKhUIqKiqKjvn9fg0bNuySx0iKbvRK4gYAANjnWRGEQiF17949brx79+4KhUKXPEaSMjIyYsYzMjJ06NChZo85fvy4Xn755Ute3ZEuXAVqamqKfh2JRC67fgAAkLiu+grOnDlz5PP5Wnzs3LlTkuTz+eKOd841O/5d33/+UsdEIhE98MADGjBggGbPnn3J1ysrK4ve6BwIBJSdnX0lWwUAAAnqqq/gPPPMMxo3blyLc3r37q2PP/5YX375ZdxzX331VdwVmosyMzMlXbiS06NHj+j4sWPH4o5pbGxUcXGxbrzxRq1du1bJycmXXM/MmTM1bdq06NeRSITIAQDAsKsOnPT0dKWnp192Xn5+vsLhsHbs2KEhQ4ZIkrZv365wOKyCgoJmj8nJyVFmZqaqqqp09913S5JOnz6tLVu2aMGCBdF5kUhEI0aMkN/v17p165SSktLiWvx+v/x+/5VuEQAAJDjPbjLu37+/iouLNXHiRG3btk3btm3TxIkT9eCDD8a8g6pfv35au3atpAu/mpoyZYrmzZuntWvX6l//+pd++ctfqkuXLpowYYKkC1duioqK9M0336iyslKRSEShUEihUEjnzp3zajsAACCBePq2o7fffluTJ0+Ovivq4YcfVnl5ecycAwcOxHxI3wsvvKBvv/1WTz/9tE6cOKG8vDxt3LhRqampkqRdu3Zp+/btkqQf/ehHMa9VV1en3r17e7gjAACQCDz7HJyOjM/BAQAg8XSIz8EBAABoLwQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOZ4GzokTJ1RSUqJAIKBAIKCSkhKdPHmyxWOcc5ozZ46ysrJ0/fXX695779W+ffsuOXfkyJHy+Xx67733Wn8DAAAgIXkaOBMmTNCePXu0YcMGbdiwQXv27FFJSUmLxyxcuFCLFi1SeXm5PvroI2VmZuq+++5TY2Nj3NzFixfL5/N5tXwAAJCgkrx64draWm3YsEHbtm1TXl6eJKmiokL5+fk6cOCA+vbtG3eMc06LFy/WrFmz9Mgjj0iS3nzzTWVkZOgvf/mLJk2aFJ27d+9eLVq0SB999JF69Ojh1TYAAEAC8uwKTjAYVCAQiMaNJA0dOlSBQEDV1dXNHlNXV6dQKKSioqLomN/v17Bhw2KOOXXqlMaPH6/y8nJlZmZedi1NTU2KRCIxDwAAYJdngRMKhdS9e/e48e7duysUCl3yGEnKyMiIGc/IyIg5ZurUqSooKNCoUaOuaC1lZWXR+4ACgYCys7OvdBsAACABXXXgzJkzRz6fr8XHzp07JanZ+2Occ5e9b+b7z3/3mHXr1mnTpk1avHjxFa955syZCofD0ceRI0eu+FgAAJB4rvoenGeeeUbjxo1rcU7v3r318ccf68svv4x77quvvoq7QnPRxV83hUKhmPtqjh07Fj1m06ZN+uyzz3TTTTfFHDtmzBgVFhZq8+bNca/r9/vl9/tbXDMAALDjqgMnPT1d6enpl52Xn5+vcDisHTt2aMiQIZKk7du3KxwOq6CgoNljcnJylJmZqaqqKt19992SpNOnT2vLli1asGCBJGnGjBn61a9+FXPcnXfeqd///vd66KGHrnY7AADAIM/eRdW/f38VFxdr4sSJ+uMf/yhJ+vWvf60HH3ww5h1U/fr1U1lZmX72s5/J5/NpypQpmjdvnu644w7dcccdmjdvnrp06aIJEyZIunCVp7kbi3v27KmcnByvtgMAABKIZ4EjSW+//bYmT54cfVfUww8/rPLy8pg5Bw4cUDgcjn79wgsv6Ntvv9XTTz+tEydOKC8vTxs3blRqaqqXSwUAAIb4nHOuvRfR1iKRiAKBgMLhsNLS0tp7OQAA4Apczc9v/i0qAABgDoEDAADMIXAAAIA5BA4AADCHwAEAAOYQOAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADMIXAAAIA5BA4AADCHwAEAAOYQOAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADMIXAAAIA5BA4AADCHwAEAAOYQOAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADMIXAAAIA5BA4AADCHwAEAAOYQOAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADMIXAAAIA5BA4AADCHwAEAAOYQOAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADMSWrvBbQH55wkKRKJtPNKAADAlbr4c/viz/GWXJOB09jYKEnKzs5u55UAAICr1djYqEAg0OIcn7uSDDLm/PnzOnr0qFJTU+Xz+dp7Oe0uEokoOztbR44cUVpaWnsvxyzOc9vgPLcdznXb4Dz/f845NTY2KisrS9dd1/JdNtfkFZzrrrtOt912W3svo8NJS0u75v/jaQuc57bBeW47nOu2wXm+4HJXbi7iJmMAAGAOgQMAAMwhcCC/36/Zs2fL7/e391JM4zy3Dc5z2+Fctw3O8w9zTd5kDAAAbOMKDgAAMIfAAQAA5hA4AADAHAIHAACYQ+BcA06cOKGSkhIFAgEFAgGVlJTo5MmTLR7jnNOcOXOUlZWl66+/Xvfee6/27dt3ybkjR46Uz+fTe++91/obSBBenOevv/5azz77rPr27asuXbqoZ8+emjx5ssLhsMe76ViWLl2qnJwcpaSkKDc3V1u3bm1x/pYtW5Sbm6uUlBT16dNHy5cvj5uzevVqDRgwQH6/XwMGDNDatWu9Wn7CaO3zXFFRocLCQnXt2lVdu3bV8OHDtWPHDi+3kBC8+PN80cqVK+Xz+TR69OhWXnUCcjCvuLjYDRw40FVXV7vq6mo3cOBA9+CDD7Z4zPz5811qaqpbvXq1q6mpcWPHjnU9evRwkUgkbu6iRYvcyJEjnSS3du1aj3bR8Xlxnmtqatwjjzzi1q1b5z799FP3j3/8w91xxx1uzJgxbbGlDmHlypUuOTnZVVRUuP3797vnnnvO3XDDDe7QoUPNzv/8889dly5d3HPPPef279/vKioqXHJysnv33Xejc6qrq12nTp3cvHnzXG1trZs3b55LSkpy27Zta6ttdThenOcJEya4JUuWuN27d7va2lr35JNPukAg4P7973+31bY6HC/O80UHDx50t956qyssLHSjRo3yeCcdH4Fj3P79+52kmP9xB4NBJ8l98sknzR5z/vx5l5mZ6ebPnx8d++9//+sCgYBbvnx5zNw9e/a42267zdXX11/TgeP1ef6uv/71r65z587uzJkzrbeBDmzIkCGutLQ0Zqxfv35uxowZzc5/4YUXXL9+/WLGJk2a5IYOHRr9+tFHH3XFxcUxc0aMGOHGjRvXSqtOPF6c5+87e/asS01NdW+++eb/vuAE5dV5Pnv2rPvxj3/sXn/9dffEE08QOM45fkVlXDAYVCAQUF5eXnRs6NChCgQCqq6ubvaYuro6hUIhFRUVRcf8fr+GDRsWc8ypU6c0fvx4lZeXKzMz07tNJAAvz/P3hcNhpaWlKSnJ/j8ld/r0ae3atSvmHElSUVHRJc9RMBiMmz9ixAjt3LlTZ86caXFOS+fdMq/O8/edOnVKZ86c0c0339w6C08wXp7nuXPn6pZbbtFTTz3V+gtPUASOcaFQSN27d48b7969u0Kh0CWPkaSMjIyY8YyMjJhjpk6dqoKCAo0aNaoVV5yYvDzP33X8+HG9/PLLmjRp0v+44sTQ0NCgc+fOXdU5CoVCzc4/e/asGhoaWpxzqde0zqvz/H0zZszQrbfequHDh7fOwhOMV+f5ww8/VGVlpSoqKrxZeIIicBLUnDlz5PP5Wnzs3LlTkuTz+eKOd841O/5d33/+u8esW7dOmzZt0uLFi1tnQx1Ue5/n74pEInrggQc0YMAAzZ49+3/YVeK50nPU0vzvj1/ta14LvDjPFy1cuFArVqzQmjVrlJKS0gqrTVyteZ4bGxv1+OOPq6KiQunp6a2/2ARm/xq3Uc8884zGjRvX4pzevXvr448/1pdffhn33FdffRX3t4KLLv66KRQKqUePHtHxY8eORY/ZtGmTPvvsM910000xx44ZM0aFhYXavHnzVeym42rv83xRY2OjiouLdeONN2rt2rVKTk6+2q0kpPT0dHXq1Cnub7fNnaOLMjMzm52flJSkbt26tTjnUq9pnVfn+aJXXnlF8+bN0/vvv6+77rqrdRefQLw4z/v27dPBgwf10EMPRZ8/f/68JCkpKUkHDhzQ7bff3so7SRDtdO8P2sjFm1+3b98eHdu2bdsV3fy6YMGC6FhTU1PMza/19fWupqYm5iHJ/eEPf3Cff/65t5vqgLw6z845Fw6H3dChQ92wYcPcN998490mOqghQ4a43/zmNzFj/fv3b/GmzP79+8eMlZaWxt1kPHLkyJg5xcXF1/xNxq19np1zbuHChS4tLc0Fg8HWXXCCau3z/O2338b9v3jUqFHupz/9qaupqXFNTU3ebCQBEDjXgOLiYnfXXXe5YDDogsGgu/POO+Pevty3b1+3Zs2a6Nfz5893gUDArVmzxtXU1Ljx48df8m3iF+kafheVc96c50gk4vLy8tydd97pPv30U1dfXx99nD17tk33114uvq22srLS7d+/302ZMsXdcMMN7uDBg84552bMmOFKSkqi8y++rXbq1Klu//79rrKyMu5ttR9++KHr1KmTmz9/vqutrXXz58/nbeIenOcFCxa4zp07u3fffTfmz25jY2Ob76+j8OI8fx/vorqAwLkGHD9+3D322GMuNTXVpaamuscee8ydOHEiZo4k96c//Sn69fnz593s2bNdZmam8/v97p577nE1NTUtfp9rPXC8OM8ffPCBk9Tso66urm021gEsWbLE9erVy3Xu3NkNGjTIbdmyJfrcE0884YYNGxYzf/Pmze7uu+92nTt3dr1793bLli2Le8133nnH9e3b1yUnJ7t+/fq51atXe72NDq+1z3OvXr2a/bM7e/bsNthNx+XFn+fvInAu8Dn3/+5WAgAAMIJ3UQEAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOf8Ht4uZEzvoVekAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -274,7 +434,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 27,
    "id": "e30d43db-f668-4567-8ee7-e1518cd9b56b",
    "metadata": {
     "tags": []
@@ -367,6 +527,26 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -423,9 +603,53 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "id": "fe6b7886-695c-4eb3-872b-43bda20074b8",
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "dump = 292\n",
+    "xH = '1H'\n",
+    "model = 'v05e00'\n",
+    "plotHM_diffThetaRegions(dump,model,xH)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c2f9b5f0-fd98-4150-befe-935da707ef7f",
+   "metadata": {},
    "outputs": [],
    "source": []
   }
diff --git a/src/plons/AccrDisk.py b/src/plons/AccrDisk.py
index 98ebdef..92c25e1 100644
--- a/src/plons/AccrDisk.py
+++ b/src/plons/AccrDisk.py
@@ -1,3 +1,4 @@
+from selectors import EpollSelector
 import plons
 import os
 import math                     as math
@@ -365,15 +366,32 @@ def findScaleHeight(zH,rho_zH,xH):
         SHn     = zHn[SHn_ind][0]
         # estimate scale height as mean of positive and negative scale height h
         SHmean  = (np.abs(SHp)+np.abs(SHn))/2
+        if xH == '1H':
+            Sigma   = calculateSigma(rho_zH,zH)#rho_zHp,rho_zHn,SHp_ind,SHn_ind,zH)
+        else:
+            Sigma = 0
 
     # if the scale height density is not in the array of rho values, set to 0. This will not be added to the array that is used to calculate the median/mean
     else:
         print('!! At this theta direction, you are no longer in the disk or you set your maxH too small!!')
         SHmean  = 0
-    return SHmean,rhoSH
+        Sigma   = 0
+
+    return SHmean,rhoSH,Sigma
 
+# def calculateSigma(rho_zHp,rho_zHn,SHp_ind,SHn_ind,zH):
+#     rhoSum = np.sum(rho_zHp[:SHp_ind[0]])+ np.sum(rho_zHn[:SHn_ind[0]])
+#     dz    = zH[1]-zH[0]
+#     Sigma = rhoSum*dz
+#     return Sigma
 
 
+def calculateSigma(rho_zH,zH):
+    rhoSum = np.sum(rho_zH)
+    dz    = zH[1]-zH[0]
+    Sigma = rhoSum*dz
+    return Sigma
+
 '''
 calculate an array of scale heights for one r for various theta, and make rho-h plot
 
@@ -393,26 +411,37 @@ def findScaleHeight(zH,rho_zH,xH):
 def getSH_andPlot_one_r(r,thetaArray,dumpData,maxH,n_grid,run,xH):
     #parameter used for plotcolors
     ci = 0
+    #Empty arrays to store the scale heights and surface densities at different theta for this r
     SH_array_one_r = np.array([])
+    Sigma_array_one_r = np.array([])
+    SigmaTheor_array_one_r = np.array([])
     #comment if you dont want plots
     # plt.figure()
 
     #calculate scale height estimate for each theta in the array
     for theta in thetaArray:
         # Convert theta to degrees for text output and plotlabels
-        legendTh  = str(np.round(theta*180/np.pi,2))
+        # legendTh  = str(np.round(theta*180/np.pi,2))
         # print('theta',legendTh)
 
         # use smoothing kernel to calculate rhovalues on a line in the z-direction at location (r,theta) in orbital plane
         zH,rho_zH = getRhoOnZline(dumpData,r,theta,maxH,n_grid)
 
         # use rho profile to estimate the scale height at this location (mean of the + and - z scale height)
-        SHmean, rhoSH = findScaleHeight(zH,rho_zH,xH)
+        SHmean, rhoSH,Sigma = findScaleHeight(zH,rho_zH,xH)
+        if xH == '1H':
+            # Calculate surface density estimate using the scale height value and rhomax
+            SigmaTheor   = np.sqrt(2*np.pi) * SHmean * np.max(rho_zH)
+
+
 
         # if for this theta a scale height is calculated
         if SHmean >0:
             # add to array (later mean/median of this array will be taken as scale height estimate)
             SH_array_one_r   = np.append(SH_array_one_r, SHmean)
+            if xH == '1H':
+                Sigma_array_one_r = np.append(Sigma_array_one_r,Sigma)
+                SigmaTheor_array_one_r = np.append(SigmaTheor_array_one_r,SigmaTheor)
             #Comment if you dont want you dont want plots
             # plt.semilogy(zH/cgs.au,rho_zH,'-',label=r'$\theta$='+legendTh, c= 'C'+str(ci))  #semilogy
             # plt.axhline(y=rhoSH,  color='C'+str(ci), linestyle='--',linewidth = 0.7)
@@ -432,7 +461,7 @@ def getSH_andPlot_one_r(r,thetaArray,dumpData,maxH,n_grid,run,xH):
     # plt.title('r = '+str(r_au)+' au' )
     # plt.savefig(run+'plotsAnalysis/H_Rho_forDifferentTheta+'_wind_00'+str(dump)+'_'+xH+'.png')
     # plt.close()
-    return SH_array_one_r
+    return SH_array_one_r,SigmaTheor_array_one_r, Sigma_array_one_r
 
 '''
 Calculate for each r starting from lowerR, and increasing with r_step the scale height and disk mass
@@ -457,8 +486,10 @@ def getSH_andPlot_one_r(r,thetaArray,dumpData,maxH,n_grid,run,xH):
 '''
 
 def get_SH_diskMass_radius(lowerR,r_step,thetaArray,dumpData,maxH,n_grid,run,crit,xH,phiQuadr = False, printOut = False):
-    # Make array to store the SH estimate for each r (0 at r=0.01 au (racc))
+    # Make array to store the SH estimate and surface density estimate for each r (0 at r=0.01 au (racc))
     SH_array = np.array([lowerR-r_step])
+    Sigma_array = np.array([lowerR-r_step])
+    SigmaTheor_array = np.array([lowerR-r_step])
     # Make array to store the total mass of the disk at each r (0 at r=0)
     totalMassDisk  = np.array([0])
     # Make array to store the relative added mass of the disk at each r (1 at r=0)
@@ -475,14 +506,27 @@ def get_SH_diskMass_radius(lowerR,r_step,thetaArray,dumpData,maxH,n_grid,run,cri
             print('r',np.round(r/cgs.au,3),' au')
 
         # Calculate for every theta in thetaArray the scale height for this r value
-        SH_array_one_r = getSH_andPlot_one_r(r,thetaArray,dumpData,maxH,n_grid,run,xH)
+        SH_array_one_r,SigmaTheor_array_one_r,Sigma_array_one_r = getSH_andPlot_one_r(r,thetaArray,dumpData,maxH,n_grid,run,xH)
 
         # Calculate the median of the scale heights for different theta values
         medianSH_one_r = np.median(SH_array_one_r)
         if printOut: print('scale height is ',medianSH_one_r/cgs.au)
         # add the median scale height to an array containing the scale height estimate for each r value
         SH_array = np.append(SH_array,medianSH_one_r)
+        # Calculate the median surface density Sigma
+        medianSigma_one_r = np.median(Sigma_array_one_r)
+        medianSigmaTheor_one_r = np.median(SigmaTheor_array_one_r)
+
+        # Add the median surface density to array containing the surface density estimates for each r value
+        Sigma_array       = np.append(Sigma_array,medianSigma_one_r)
+        SigmaTheor_array       = np.append(SigmaTheor_array,medianSigmaTheor_one_r)
+        # Calculate optical depth
+        Chi = 3
+        Tau_array   = Sigma_array*Chi
+        TauTheor_array = SigmaTheor_array*Chi
 
+
+        # Calculate the added mass using a filter
         if phiQuadr == True:
             maxTheta = thetaArray[-1]
             minTheta = thetaArray[0]
@@ -522,7 +566,7 @@ def get_SH_diskMass_radius(lowerR,r_step,thetaArray,dumpData,maxH,n_grid,run,cri
     if printOut:
         print('-------------------------------------------------------------')
         print('estimate of r of the accretion disk is ',r_array[i]/cgs.au,' au')
-    return (r_array,totalMassDisk,rel_mass_added,SH_array)
+    return (r_array,totalMassDisk,rel_mass_added,SH_array,Sigma_array,SigmaTheor_array,Tau_array,TauTheor_array)
 
 # Definition to plot rho ifo h for each theta, with varying radius
 '''
@@ -552,7 +596,7 @@ def plotRhoVert_fixedTheta(rArray,thetaArray,dumpData,maxH,n_grid,run,xH):
             # Use smoothing kernel to calculate density on a z-line (at position (r,theta) in orbital plane)
             zH,rho_zH = getRhoOnZline(dumpData,r,theta,maxH,n_grid)
             # calculate scale height at this position
-            SHmean, rhoSH = findScaleHeight(zH,rho_zH,xH)
+            SHmean, rhoSH,Sigma = findScaleHeight(zH,rho_zH,xH)
             # if scale height is calculated, add density profile, scale height, and density at scale height to plot
             if SHmean!= 0:
                 plt.semilogy(zH/cgs.au,rho_zH,'-',label='r= '+str(r_au)+' au')
@@ -643,6 +687,25 @@ def plot_scaleHeights(ax, r_array,SH_array):
     ax.set_xlabel('r [au]')
     ax.set_ylabel('scale height [au]')
 
+'''
+Plot of surface density ifo r
+'''
+def plot_surfDensity(ax, r_array,Sigma_array,SigmaTheor_array):
+    ax.plot(r_array[1:-1]/cgs.au,Sigma_array[1:],label='surface density')
+    ax.plot(r_array[1:-1]/cgs.au,SigmaTheor_array[1:],label='Theor surface density')
+    ax.legend()
+    ax.set_xlabel('r [au]')
+    ax.set_ylabel('surface density [g/cm^2]')
+
+'''
+Plot of optical depth ifo r
+'''
+def plot_opticalDepth(ax, r_array,Tau_array,TauTheor_array):
+    ax.plot(r_array[1:-1]/cgs.au,Tau_array[1:],label='Optical Depth')
+    ax.plot(r_array[1:-1]/cgs.au,TauTheor_array[1:],label='Theor Optical Depth')
+    ax.legend()
+    ax.set_xlabel('r [au]')
+    ax.set_ylabel('Optical depth []')
 
 ### For 4 theta regions
 
@@ -691,7 +754,37 @@ def plot_scaleHeights_4theta(ax, r_array1,r_array2,r_array3,r_array4,SH_array1,S
     ax.set_xlabel('r [au]')
     ax.set_ylabel('scale height [au]')
 
-def writeFile(title,r_step,testLimit,r_array,rel_mass_added,totalMassDisk,SH_array):
+'''
+Plot of surface density ifo r for different theta regimes
+'''
+def plot_surfDensity_4theta(ax, r_array1,r_array2,r_array3,r_array4,Sigma_array1,Sigma_array2,Sigma_array3,Sigma_array4):
+
+    ax.plot(r_array1[1:-1]/cgs.au,Sigma_array1[1:],label=r'th1: -$\pi$/4 - +$\pi$/4', c='C1')
+    ax.plot(r_array2[1:-1]/cgs.au,Sigma_array2[1:],label=r'th2: $\pi$/4 - 3$\pi$/4', c='C2')
+    ax.plot(r_array3[1:-1]/cgs.au,Sigma_array3[1:],label=r'th3: 3$\pi$/4 - 5$\pi$/4', c='C3')
+    ax.plot(r_array4[1:-1]/cgs.au,Sigma_array4[1:],label=r'th4: 5$\pi$/4 - 7$\pi$/4', c='C4')
+
+    ax.legend()
+    ax.set_xlabel('r [au]')
+    ax.set_ylabel('surface density [g/cm^2]')
+
+'''
+Plot of surface density ifo r for different theta regimes
+'''
+def plot_opticalDepth_4theta(ax, r_array1,r_array2,r_array3,r_array4,Tau_array1,Tau_array2,Tau_array3,Tau_array4):
+
+    ax.plot(r_array1[1:-1]/cgs.au,Tau_array1[1:],label=r'th1: -$\pi$/4 - +$\pi$/4', c='C1')
+    ax.plot(r_array2[1:-1]/cgs.au,Tau_array2[1:],label=r'th2: $\pi$/4 - 3$\pi$/4', c='C2')
+    ax.plot(r_array3[1:-1]/cgs.au,Tau_array3[1:],label=r'th3: 3$\pi$/4 - 5$\pi$/4', c='C3')
+    ax.plot(r_array4[1:-1]/cgs.au,Tau_array4[1:],label=r'th4: 5$\pi$/4 - 7$\pi$/4', c='C4')
+
+    ax.legend()
+    ax.set_xlabel('r [au]')
+    ax.set_ylabel('optical depth []')
+
+
+
+def writeFile(title,r_step,testLimit,r_array,rel_mass_added,totalMassDisk,SH_array,Sigma_array,SigmaTheor_array,Tau_array,TauTheor_array):
     with open (title,'w') as f:
         # f.write('Model '+str(run)+'\n')
         f.write('Data analysis accretion disks')
@@ -704,15 +797,15 @@ def writeFile(title,r_step,testLimit,r_array,rel_mass_added,totalMassDisk,SH_arr
         f.write('\n')
         f.write('\n')
         f.write('for rstep 0.01 au (=racc):'+'\n')
-        names = ['r [au]', 'SH [au]', 'Mtot [Msun]', 'Mrel/rstep []', 'Mrel []']
-        f.write("{: <30} {: <30} {: <30}  {: <30} {: <30} ".format(*names))
-        col_format = "{:<31}" * 5 + "\n"   # 5 left-justfied columns with 15 character width
+        names = ['r [au]', 'SH [au]', 'Mtot [Msun]', 'Mrel/rstep []', 'Sigma []','Sigma Theor []','OptDepth []','OptDepthTheor []']
+        f.write("{: <30} {: <30} {: <30}  {: <30} {: <30} {: <30} {: <30} {: <30}".format(*names))
+        col_format = "{:<31}" * 8 + "\n"   # 5 left-justfied columns with 15 character width
         f.write('\n')
-        for i in zip(np.round(r_array/cgs.au,2),np.round(SH_array/cgs.au,4),np.round(totalMassDisk/cgs.Msun,13),np.round(rel_mass_added/r_step,3),np.round(rel_mass_added,3)):
+        for i in zip(np.round(r_array/cgs.au,2),np.round(SH_array/cgs.au,4),np.round(totalMassDisk/cgs.Msun,13),np.round(rel_mass_added/r_step,3),np.round(Sigma_array,4),np.round(SigmaTheor_array,4),np.round(Tau_array,3),np.round(TauTheor_array,3)):
             f.write(col_format.format(*i))
 
 def readInfoAccrDisk(run,dump,xH):
     # return r, SH, Mtot, MrelRstep,Mrel
     file = os.path.join(run,'plotsAnalysis/infoAccrDisk_wind_00'+str(dump)+'_'+xH+'.txt')
-    (r, SH, Mtot,MrelRstep) = np.loadtxt(file, skiprows=11, usecols=(0,1,2,3), unpack=True)
-    return r, SH, Mtot,MrelRstep
+    (r, SH, Mtot,MrelRstep,Sigma,SigmaT,tau,tauT) = np.loadtxt(file, skiprows=11, usecols=(0,1,2,3,4,5,6,7), unpack=True)
+    return r, SH, Mtot,MrelRstep,Sigma,SigmaT,tau,tauT