Fix error in the analytic fits

Prior to this, the analytic fits data was all for twoF = 60, this
updates this and adds a tag to the filename to make it it clear

Paper/AllSkyMC/analytic_data.txt

-1.000000000000000000e+01 1.545454545454545325e+01 2.090909090909090651e+01 2.636363636363636331e+01 3.181818181818181657e+01 3.727272727272726627e+01 4.272727272727272663e+01 4.818181818181817988e+01 5.363636363636363313e+01 5.909090909090908639e+01 6.454545454545453254e+01 7.000000000000000000e+01 7.545454545454545325e+01 8.090909090909090651e+01 8.636363636363635976e+01 9.181818181818181301e+01 9.727272727272726627e+01 1.027272727272727195e+02 1.081818181818181728e+02 1.136363636363636260e+02 1.190909090909090793e+02 1.245454545454545325e+02 1.300000000000000000e+02 1.354545454545454390e+02 1.409090909090909065e+02 1.463636363636363455e+02 1.518181818181818130e+02 1.572727272727272521e+02 1.627272727272727195e+02 1.681818181818181586e+02 1.736363636363636260e+02 1.790909090909090651e+02 1.845454545454545325e+02 1.900000000000000000e+02 1.954545454545454390e+02 2.009090909090909065e+02 2.063636363636363455e+02 2.118181818181818130e+02 2.172727272727272521e+02 2.227272727272727195e+02 2.281818181818181586e+02 2.336363636363636260e+02 2.390909090909090651e+02 2.445454545454545325e+02 2.499999999999999716e+02 2.554545454545454390e+02 2.609090909090908781e+02 2.663636363636363171e+02 2.718181818181818130e+02 2.772727272727272521e+02 2.827272727272726911e+02 2.881818181818181870e+02 2.936363636363636260e+02 2.990909090909090651e+02 3.045454545454545041e+02 3.100000000000000000e+02 3.154545454545454390e+02 3.209090909090908781e+02 3.263636363636363171e+02 3.318181818181818130e+02 3.372727272727272521e+02 3.427272727272726911e+02 3.481818181818181301e+02 3.536363636363636260e+02 3.590909090909090651e+02 3.645454545454545041e+02 3.700000000000000000e+02 3.754545454545454390e+02 3.809090909090908781e+02 3.863636363636363171e+02 3.918181818181818130e+02 3.972727272727272521e+02 4.027272727272726911e+02 4.081818181818181301e+02 4.136363636363636260e+02 4.190909090909090651e+02 4.245454545454545041e+02 4.299999999999999432e+02 4.354545454545454390e+02 4.409090909090908781e+02 4.463636363636363171e+02 4.518181818181818130e+02 4.572727272727272521e+02 4.627272727272726911e+02 4.681818181818181301e+02 4.736363636363636260e+02 4.790909090909090651e+02 4.845454545454545041e+02 4.899999999999999432e+02 4.954545454545454390e+02 5.009090909090908781e+02 5.063636363636363171e+02 5.118181818181817562e+02 5.172727272727272521e+02 5.227272727272726343e+02 5.281818181818181301e+02 5.336363636363636260e+02 5.390909090909090082e+02 5.445454545454545041e+02 5.500000000000000000e+02
-1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 9.999999999998989697e-01 9.999999998444154548e-01 9.999999640286778568e-01 9.999979786605999177e-01 9.999597879781104703e-01 9.996264058631291194e-01 9.980191885719185141e-01 9.930675875792867036e-01 9.821843381686737873e-01 9.636251600786283067e-01 9.374318696144336993e-01 9.052651416872525836e-01 8.695228324079862237e-01 8.324746782998845296e-01 7.957960101341012837e-01 7.604862720442899793e-01 7.269985861486210066e-01 6.954261334370200887e-01 6.656630774859213506e-01 6.375157478178092862e-01 6.107686096375982698e-01 5.852177568362738613e-01 5.606846672006757792e-01 5.370195238524311243e-01 5.140992954923292446e-01 4.918239498352197092e-01 4.701124503421804102e-01 4.488989141536365857e-01 4.281295037100891765e-01 4.077600968664371051e-01 3.877541916941061872e-01 3.680817173405412923e-01 3.487185600215290116e-01 3.296463382169666501e-01 3.108532359085655061e-01 2.923352765623004057e-01 2.740979044140402499e-01 2.561577098245039208e-01 2.385431940462499067e-01 2.212956594390402820e-01 2.044674786003990441e-01 1.881207340532660144e-01 1.723232410981990759e-01 1.571451268181783822e-01 1.426542130793171381e-01 1.289119435485815979e-01 1.159699840377107494e-01 1.038675053073867538e-01 9.262958538189725033e-02 8.226676591142823014e-02 7.277528338641092720e-02 6.413825570813413979e-02 5.632747142041649724e-02 4.930533667470848869e-02 4.302706096934039159e-02 3.744272347643140542e-02 3.249946041546125652e-02 2.814302544337743406e-02 2.431936454136440773e-02 2.097576241968690525e-02 1.806183964053087454e-02 1.553017238743481521e-02 1.333664580894766694e-02 1.144077563849577039e-02 9.805746920131697131e-03 8.398358575424591521e-03 7.188987223389786685e-03 6.151274999222300366e-03 5.261961799192693690e-03 4.500613095830274801e-03 3.849380432043414402e-03 3.292680647453805065e-03 2.817082181644003924e-03 2.410923362332839659e-03 2.064111954572900309e-03 1.768042682196213633e-03 1.515272614589058264e-03 1.299482435946353043e-03 1.115145147353335808e-03 9.576839513868451448e-04 8.231185922157324697e-04 7.080706146240789423e-04 6.096397079333737423e-04 5.253887909442145343e-04 4.532158986048084870e-04 3.913487668876225456e-04 3.383036815580720003e-04 2.927380872062013140e-04 2.535985618844494027e-04 2.199177849543376695e-04

Paper/AllSkyMC/plot_data.py

@@ -55,7 +55,7 @@ ax.errorbar(depths, recovery_fraction, yerr=yerr, fmt='sr', marker='s', ms=2,
             capsize=1, capthick=0.5, elinewidth=0.5,
             label='Monte-Carlo result', zorder=10)
 
-fname = 'analytic_data.txt'
+fname = 'analytic_data_{}.txt'.format(twoFstar)
 if os.path.isfile(fname):
     depths_smooth, recovery_analytic = np.loadtxt(fname)
 else:

Paper/DirectedMC/analytic_data.txt

-1.000000000000000000e+01 1.545454545454545325e+01 2.090909090909090651e+01 2.636363636363636331e+01 3.181818181818181657e+01 3.727272727272726627e+01 4.272727272727272663e+01 4.818181818181817988e+01 5.363636363636363313e+01 5.909090909090908639e+01 6.454545454545453254e+01 7.000000000000000000e+01 7.545454545454545325e+01 8.090909090909090651e+01 8.636363636363635976e+01 9.181818181818181301e+01 9.727272727272726627e+01 1.027272727272727195e+02 1.081818181818181728e+02 1.136363636363636260e+02 1.190909090909090793e+02 1.245454545454545325e+02 1.300000000000000000e+02 1.354545454545454390e+02 1.409090909090909065e+02 1.463636363636363455e+02 1.518181818181818130e+02 1.572727272727272521e+02 1.627272727272727195e+02 1.681818181818181586e+02 1.736363636363636260e+02 1.790909090909090651e+02 1.845454545454545325e+02 1.900000000000000000e+02 1.954545454545454390e+02 2.009090909090909065e+02 2.063636363636363455e+02 2.118181818181818130e+02 2.172727272727272521e+02 2.227272727272727195e+02 2.281818181818181586e+02 2.336363636363636260e+02 2.390909090909090651e+02 2.445454545454545325e+02 2.499999999999999716e+02 2.554545454545454390e+02 2.609090909090908781e+02 2.663636363636363171e+02 2.718181818181818130e+02 2.772727272727272521e+02 2.827272727272726911e+02 2.881818181818181870e+02 2.936363636363636260e+02 2.990909090909090651e+02 3.045454545454545041e+02 3.100000000000000000e+02 3.154545454545454390e+02 3.209090909090908781e+02 3.263636363636363171e+02 3.318181818181818130e+02 3.372727272727272521e+02 3.427272727272726911e+02 3.481818181818181301e+02 3.536363636363636260e+02 3.590909090909090651e+02 3.645454545454545041e+02 3.700000000000000000e+02 3.754545454545454390e+02 3.809090909090908781e+02 3.863636363636363171e+02 3.918181818181818130e+02 3.972727272727272521e+02 4.027272727272726911e+02 4.081818181818181301e+02 4.136363636363636260e+02 4.190909090909090651e+02 4.245454545454545041e+02 4.299999999999999432e+02 4.354545454545454390e+02 4.409090909090908781e+02 4.463636363636363171e+02 4.518181818181818130e+02 4.572727272727272521e+02 4.627272727272726911e+02 4.681818181818181301e+02 4.736363636363636260e+02 4.790909090909090651e+02 4.845454545454545041e+02 4.899999999999999432e+02 4.954545454545454390e+02 5.009090909090908781e+02 5.063636363636363171e+02 5.118181818181817562e+02 5.172727272727272521e+02 5.227272727272726343e+02 5.281818181818181301e+02 5.336363636363636260e+02 5.390909090909090082e+02 5.445454545454545041e+02 5.500000000000000000e+02
-1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 1.000000000000000000e+00 9.999999999998989697e-01 9.999999998444154548e-01 9.999999640286778568e-01 9.999979786605999177e-01 9.999597879781104703e-01 9.996264058631291194e-01 9.980191885719185141e-01 9.930675875792867036e-01 9.821843381686737873e-01 9.636251600786283067e-01 9.374318696144336993e-01 9.052651416872525836e-01 8.695228324079862237e-01 8.324746782998845296e-01 7.957960101341012837e-01 7.604862720442899793e-01 7.269985861486210066e-01 6.954261334370200887e-01 6.656630774859213506e-01 6.375157478178092862e-01 6.107686096375982698e-01 5.852177568362738613e-01 5.606846672006757792e-01 5.370195238524311243e-01 5.140992954923292446e-01 4.918239498352197092e-01 4.701124503421804102e-01 4.488989141536365857e-01 4.281295037100891765e-01 4.077600968664371051e-01 3.877541916941061872e-01 3.680817173405412923e-01 3.487185600215290116e-01 3.296463382169666501e-01 3.108532359085655061e-01 2.923352765623004057e-01 2.740979044140402499e-01 2.561577098245039208e-01 2.385431940462499067e-01 2.212956594390402820e-01 2.044674786003990441e-01 1.881207340532660144e-01 1.723232410981990759e-01 1.571451268181783822e-01 1.426542130793171381e-01 1.289119435485815979e-01 1.159699840377107494e-01 1.038675053073867538e-01 9.262958538189725033e-02 8.226676591142823014e-02 7.277528338641092720e-02 6.413825570813413979e-02 5.632747142041649724e-02 4.930533667470848869e-02 4.302706096934039159e-02 3.744272347643140542e-02 3.249946041546125652e-02 2.814302544337743406e-02 2.431936454136440773e-02 2.097576241968690525e-02 1.806183964053087454e-02 1.553017238743481521e-02 1.333664580894766694e-02 1.144077563849577039e-02 9.805746920131697131e-03 8.398358575424591521e-03 7.188987223389786685e-03 6.151274999222300366e-03 5.261961799192693690e-03 4.500613095830274801e-03 3.849380432043414402e-03 3.292680647453805065e-03 2.817082181644003924e-03 2.410923362332839659e-03 2.064111954572900309e-03 1.768042682196213633e-03 1.515272614589058264e-03 1.299482435946353043e-03 1.115145147353335808e-03 9.576839513868451448e-04 8.231185922157324697e-04 7.080706146240789423e-04 6.096397079333737423e-04 5.253887909442145343e-04 4.532158986048084870e-04 3.913487668876225456e-04 3.383036815580720003e-04 2.927380872062013140e-04 2.535985618844494027e-04 2.199177849543376695e-04

Paper/DirectedMC/plot_data.py

@@ -58,7 +58,7 @@ ax.errorbar(depths, recovery_fraction, yerr=yerr, fmt='sr', marker='s', ms=2,
             capsize=1, capthick=0.5, elinewidth=0.5,
             label='Monte-Carlo result', zorder=10)
 
-fname = 'analytic_data.txt'
+fname = 'analytic_data_{}.txt'.format(twoFstar)
 if os.path.isfile(fname):
     depths_smooth, recovery_analytic = np.loadtxt(fname)
 else: