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WindowManager.h
RDownScript.m 4.44 KiB
(* ::Package:: *)
(* ::Title:: *)
(*RDown excitation time*)
(* ::Input:: *)
(*Quit[]*)
(* ::Section:: *)
(*Setup*)
(* ::Subsection::Closed:: *)
(*Load package and set root paths*)
rootpath="/work/francisco.jimenez/sio/git/rdstackingproject/";
SetDirectory[rootpath<>"code"];
<<RDown.m
<<mcmc.m
mysxscase=rootpath<>"SXS/BBH_SKS_d14.3_q1.22_sA_0_0_0.330_sB_0_0_-0.440";
tshift=0;
npoints=10;
ntones=1;
\[Omega]fact=0.05;
(* ::Subsection::Closed:: *)
(*Setup paths and other notebook folders*)
(* Change them accordingly *)
(*Notebook directory*)
notdir=rootpath<>"code/";
(*Directory of the l's Ringdown data *)
modedir=rootpath;
(* True if you want to export the plots *)
ExportQ=False
ExportDir=notdir
(* ::Subsection::Closed:: *)
(*Plot Formatting*)
(* PlotStyle *)
markers={"\[FilledCircle]","\[FilledSquare]","\[FilledDiamond]","\[FilledUpTriangle]","\[FilledDownTriangle]","\[EmptyCircle]","\[EmptySquare]","\[EmptyDiamond]","\[EmptyUpTriangle]","\[EmptyDownTriangle]"}
colors=ColorData[97,"ColorList"]
l1=.025;
l2=.001;
s=l1/2;
(* ::Subsection::Closed:: *)
(*Other functions*)
Options[pdf]={"SNR"->1};
pdf[ansatz_,data_,tend_?NumericQ,x_?(VectorQ[#,NumericQ]&),OptionsPattern[]]:=Block[{ansl,cfit,cfitd,h1red,h2red,norm1,norm2,myTable,snr,tmax},
snr=OptionValue["SNR"];
tmax=data[[1,1]];
ansl=ansatz;
cfitd=Transpose[{data[[All,1]],ansl/.t->data[[All,1]]}];
h1red=Select[data,tmax<=#[[1]]<=tmax+tend&][[All,2]];
h2red=Select[cfitd,tmax<=#[[1]]<=tmax+tend&][[All,2]];
norm1=Total[(Abs@h1red)^2 ];
norm2=Total[(Abs@h2red)^2 ];
myTable=h1red Conjugate@h2red;
-snr^2(1-(Re@Total[myTable]/Sqrt[norm1 norm2]))]
Options[pdfFit]={"SNR"->1};
pdfFit[ansatz_,data_,tend_?NumericQ,x_?(VectorQ[#,NumericQ]&),OptionsPattern[]]:=Block[{ansl,cfit,cfitd,h1red,h2red,norm1,norm2,myTable,snr,tmax},
snr=OptionValue["SNR"];
tmax=data[[1,1]];
ansl=ansatz;
cfitd=Transpose[{data[[All,1]],ansl/.t->data[[All,1]]}];
h1red=Select[data,tmax<=#[[1]]<=tmax+tend&][[All,2]];
h2red=Select[cfitd,tmax<=#[[1]]<=tmax+tend&][[All,2]];
Total[(Re[h1red-h2red]^2+Im[h1red-h2red]^2)]
]
(* ::Subsection:: *)
(*Imports*)
(* ::Subsubsection::Closed:: *)
(*RDown data*)
(* ::Input:: *)
(*(* The QNM spectrum is obtained from https://pages.jh.edu/~eberti2/ringdown/. Up to now, we can load any lmn combination up to l=4 and n=7. To extend the l number you need to download the l>4 files. *)*)
(* Import all the modes you want to use *)
modelist={{2,2,0},{2,2,1},{2,2,2},{2,2,3},{2,2,4},{2,2,5},{2,2,6},{2,2,7}}
(* Files for the modes. Note that in this file notation the fundamental tone corresponds to n=1. However, for the code notation we will always use n=0. *)
Modefiles=Table[modedir<>"l"<>ToString[modelist[[j,1]]]<>"/n"<>ToString[modelist[[j,3]]+1]<>"l"<>ToString[modelist[[j,1]]]<>"m"<>ToString[modelist[[j,2]]]<>".dat",{j,Length@modelist}]
(* Import modes data *)
Modedata=Import/@Modefiles;
(* ::Subsubsection::Closed:: *)
(*NR data + EOBFits*)
modes={{2,2}}
mysxscaserh=Reverse[Select[FileNames["*Lev6/rh*",mysxscase,2],Not@StringMatchQ[#,"*raw*"]&]]
mysxscasemetafile=FileNames["metadata.txt",mysxscase,2][[1]]
metadata=SXSMetaFilesToRules[mysxscasemetafile];
Print["mass1 = ",mass1=("initial-mass1"/.metadata)[[1]]]
Print["mass2 = ",mass2=("initial-mass2"/.metadata)[[1]]]
Print["\[Chi]1 = ",\[Chi]1=Chop[(("initial-dimensionless-spin1"/.metadata)[[-1]])]]
Print["\[Chi]2 = ",\[Chi]2=Chop[(("initial-dimensionless-spin2"/.metadata)[[-1]])]]
Print["m1/m2 = ",q=Max[{mass1/mass2,1}]]
Print["m1\[CenterDot]m2 = ",\[Eta]=q/(1+q)^2*1.]
Print["af = ",af=("remnant-dimensionless-spin"/.metadata)[[-1]]]
Print["mf = ",mf=("remnant-mass"/.metadata)[[1]]]
Print["Tag = ",tag=("alternative-names"/.metadata)[[2]]]
sxsrhs=Flatten[Conjugate/@GetAsymptoticMultiMode[#,2,modes,"ReSample"->True]&/@mysxscaserh,1];
(* ::Section:: *)
(*Results for the paper*)
(* ::Subsubsection::Closed:: *)
(*Vary the fundamental frequency*)
t0=TimeOfMaximum[sxsrhs[[1]]]+tshift+20
data=Select[sxsrhs[[1]],#[[1]]>= t0&];
tab=Table[
ansatz=OvertoneModelV2[ntones,{\[Eta],\[Chi]1,\[Chi]2},t0,"Fit\[Alpha]"->{},"Vary\[Omega]"->True,"\[Omega]val"->{-\[Omega]fact,\[Omega]fact},"Export_\[Omega]val"->True,"ModesData"->Modedata];
cfit=NonlinearModelFit[data,ansatz[[1]],{x0,x1,x2,x3,x4,x5,x6,x7},t];
cfitd=Transpose[{data[[All,1]],Normal[cfit]/.t->data[[All,1]]}];
{ansatz[[2]],{x0,x1,x2,x3,x4,x5,x6,x7}/.cfit["BestFitParameters"],1-EasyMatchT[data,cfitd,t0,t0+90]},{j,npoints}];
Export[rootpath<>"results_data/freq_bfitpars_mmatch.dat",tab]