Loading J1023_B_2017_Bary.fits −1.06 KiB (111 MiB) File changed.No diff preview for this file type. View original file View changed file scsearch_J1544_test.m +37 −25 Original line number Diff line number Diff line Loading @@ -2,15 +2,16 @@ clear; close all; % Define variables, M is segm. number %pathfi = './'; pathfi = '/data/Sorgenti/3FGLJ1544.6-1125/'; %%%%%%%%%%%%%%%% tic finame = 'SiFAP2_20220429_3FGLJ1544_N1_Bary_N3_NOTCORRECTED.fits'; % finame = 'J1023_B_2017_Bary.fits'; % finame = 'EPN_0744840201_bary.fits'; % t_raw = fitsread([pathfi,finame],"binarytable"); t_raw = fitsread('C:\Users\Filippo\Desktop\J1544_2022\SiFAP2_20220429_3FGLJ1544_N1_Bary.fits','binarytable'); t_raw = fitsread([pathfi,finame],"binarytable"); %t_raw = fitsread('C:\Users\Filippo\Desktop\J1544_2022\SiFAP2_20220429_3FGLJ1544_N1_Bary.fits','binarytable'); t_raw = t_raw{1}; MJDREF=0.943055555602768; % t_raw=t_raw./86400+50814; Loading Loading @@ -48,15 +49,15 @@ toc % a_gr = zeros(5,1); % tasc_gr = zeros(5,1); Tseg=571; %segments' length in seconds Tseg=490; %segments' length in seconds %f_gr=f_tru+(-2:2).'; %f_gr=(100:1/Tseg:1000).'; f_gr=(772:1/Tseg:774).'; f_gr = (100:1/Tseg:1000).'; %f_gr=(772:1/Tseg:774).'; % porb_gr = (18000:10:21600).'; porb_gr=20868.72; a_gr = (0.01:1.5e-3:0.1).'; tasc_gr = (((0.724:1e-3:0.922)-MJDREF).*86400).'; a_gr = (0.01:8.0e-4:0.26).'; tasc_gr = (((0.724:8e-4:0.922)-MJDREF).*86400).'; % for j = 1:5 % %f_gr(j) = f_tru*((j^2)/9); % porb_gr(j) = porb_tru*((j^2)/9); Loading Loading @@ -271,9 +272,9 @@ tic %%%[kung,fu,fight] = ndgrid(nis{1},nino{2},nino{3}); tm=gpuArray(tm); nibank = gpuArray(combinations(nis{:}).Variables); Lambda = zeros(length(nibank),length(f_gr),M,'gpuArray'); Lambda = zeros(length(nibank),length(f_gr),'gpuArray'); % nibank = combinations(nis{:}).Variables; % Lambda = zeros(length(nibank),length(f_gr),M); % Lambda = zeros(length(nibank),length(f_gr)); toc %Fourier transform on original time-series -------------------------------- %per mantenere l'informazione di fase, non faccio il valore assoluto al quadrato della fft Loading Loading @@ -390,7 +391,8 @@ for m=1:M %Calcolo della detection statistic % Lambda(i,n,m)=sum(abs(Y1).^2)/sum(xtemp(:)); %CREDO (oppure prendono la potenza massima?) % [nnfreq,nnind] = min(abs(F1-curpar(1))); Lambda(i,n,m) = 2*(abs(max(Y1)).^2)/sum(xtemp(:)); %CREDO (oppure prendono la potenza massima?) % Lambda(i,n,m) = 2*(abs(max(Y1)).^2)/sum(xtemp(:)); %CREDO (oppure prendono la potenza massima?) Lambda(i,n) = 2*(abs(max(Y1)).^2)/sum(xtemp(:)); %CREDO (oppure prendono la potenza massima?) % toc end Loading @@ -398,6 +400,10 @@ for m=1:M end toc lamfiname = sprintf('Lambda_seg_%d.mat', m); % save(lamfiname,"Lambda"); save([pathfi,lamfiname],"Lambda"); Lambda = zeros(length(nibank),length(f_gr)); disp(m); end Loading @@ -417,11 +423,6 @@ bestpar = zeros(1,5); toc totlam = zeros(length(parbank),length(f_gr)); % for i = 1:length(parbank) % for n=1:length(f_gr) % totlam(i,n) = totlam(i,n)+sum(Lambda(i,n,:)); % end % end tic for n=1:length(f_gr) for i=1:length(parbank) Loading @@ -437,8 +438,15 @@ for n=1:length(f_gr) curni = -curni.*curpar(1).*curpar(3); curni(1) = curni(1) + curpar(1); lamfiname = sprintf('Lambda_seg_%d.mat', m); % load(lamfiname); load([pathfi,lamfiname]); [Idx,D] = knnsearch(nisearcher,curni); totlam(i,n) = totlam(i,n)+Lambda(Idx,n,m); totlam(i,n) = totlam(i,n)+Lambda(Idx,n); clear Lambda end % % if (totlam > bestpar(1)) % % bestpar = [totlam,f_gr(n),parbank(i,:)]; Loading @@ -449,14 +457,18 @@ toc % disp(bestpar); % save('C:\Users\Filippo\Desktop\XMM_Jxxx\risultelli.mat'); save(['C:\Users\Filippo\Desktop\J1544_2022\\risultelli_',num2str(Tseg),'s.mat']); save([pathfi,'risultelli_',num2str(Tseg),'s.mat']); for n = 1:length(f_gr) hold on txt = ['f_{gr} = ',num2str(f_gr(n))]; plot(totlam(:,n),'DisplayName',txt) end legend %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%% Fai il grafico delle totlam a posteriori %%%%%%%%%%%%%%%% % for n = 1:length(f_gr) % hold on % txt = ['f_{gr} = ',num2str(f_gr(n))]; % plot(totlam(:,n),'DisplayName',txt) % end % legend %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Loading Loading
J1023_B_2017_Bary.fits −1.06 KiB (111 MiB) File changed.No diff preview for this file type. View original file View changed file
scsearch_J1544_test.m +37 −25 Original line number Diff line number Diff line Loading @@ -2,15 +2,16 @@ clear; close all; % Define variables, M is segm. number %pathfi = './'; pathfi = '/data/Sorgenti/3FGLJ1544.6-1125/'; %%%%%%%%%%%%%%%% tic finame = 'SiFAP2_20220429_3FGLJ1544_N1_Bary_N3_NOTCORRECTED.fits'; % finame = 'J1023_B_2017_Bary.fits'; % finame = 'EPN_0744840201_bary.fits'; % t_raw = fitsread([pathfi,finame],"binarytable"); t_raw = fitsread('C:\Users\Filippo\Desktop\J1544_2022\SiFAP2_20220429_3FGLJ1544_N1_Bary.fits','binarytable'); t_raw = fitsread([pathfi,finame],"binarytable"); %t_raw = fitsread('C:\Users\Filippo\Desktop\J1544_2022\SiFAP2_20220429_3FGLJ1544_N1_Bary.fits','binarytable'); t_raw = t_raw{1}; MJDREF=0.943055555602768; % t_raw=t_raw./86400+50814; Loading Loading @@ -48,15 +49,15 @@ toc % a_gr = zeros(5,1); % tasc_gr = zeros(5,1); Tseg=571; %segments' length in seconds Tseg=490; %segments' length in seconds %f_gr=f_tru+(-2:2).'; %f_gr=(100:1/Tseg:1000).'; f_gr=(772:1/Tseg:774).'; f_gr = (100:1/Tseg:1000).'; %f_gr=(772:1/Tseg:774).'; % porb_gr = (18000:10:21600).'; porb_gr=20868.72; a_gr = (0.01:1.5e-3:0.1).'; tasc_gr = (((0.724:1e-3:0.922)-MJDREF).*86400).'; a_gr = (0.01:8.0e-4:0.26).'; tasc_gr = (((0.724:8e-4:0.922)-MJDREF).*86400).'; % for j = 1:5 % %f_gr(j) = f_tru*((j^2)/9); % porb_gr(j) = porb_tru*((j^2)/9); Loading Loading @@ -271,9 +272,9 @@ tic %%%[kung,fu,fight] = ndgrid(nis{1},nino{2},nino{3}); tm=gpuArray(tm); nibank = gpuArray(combinations(nis{:}).Variables); Lambda = zeros(length(nibank),length(f_gr),M,'gpuArray'); Lambda = zeros(length(nibank),length(f_gr),'gpuArray'); % nibank = combinations(nis{:}).Variables; % Lambda = zeros(length(nibank),length(f_gr),M); % Lambda = zeros(length(nibank),length(f_gr)); toc %Fourier transform on original time-series -------------------------------- %per mantenere l'informazione di fase, non faccio il valore assoluto al quadrato della fft Loading Loading @@ -390,7 +391,8 @@ for m=1:M %Calcolo della detection statistic % Lambda(i,n,m)=sum(abs(Y1).^2)/sum(xtemp(:)); %CREDO (oppure prendono la potenza massima?) % [nnfreq,nnind] = min(abs(F1-curpar(1))); Lambda(i,n,m) = 2*(abs(max(Y1)).^2)/sum(xtemp(:)); %CREDO (oppure prendono la potenza massima?) % Lambda(i,n,m) = 2*(abs(max(Y1)).^2)/sum(xtemp(:)); %CREDO (oppure prendono la potenza massima?) Lambda(i,n) = 2*(abs(max(Y1)).^2)/sum(xtemp(:)); %CREDO (oppure prendono la potenza massima?) % toc end Loading @@ -398,6 +400,10 @@ for m=1:M end toc lamfiname = sprintf('Lambda_seg_%d.mat', m); % save(lamfiname,"Lambda"); save([pathfi,lamfiname],"Lambda"); Lambda = zeros(length(nibank),length(f_gr)); disp(m); end Loading @@ -417,11 +423,6 @@ bestpar = zeros(1,5); toc totlam = zeros(length(parbank),length(f_gr)); % for i = 1:length(parbank) % for n=1:length(f_gr) % totlam(i,n) = totlam(i,n)+sum(Lambda(i,n,:)); % end % end tic for n=1:length(f_gr) for i=1:length(parbank) Loading @@ -437,8 +438,15 @@ for n=1:length(f_gr) curni = -curni.*curpar(1).*curpar(3); curni(1) = curni(1) + curpar(1); lamfiname = sprintf('Lambda_seg_%d.mat', m); % load(lamfiname); load([pathfi,lamfiname]); [Idx,D] = knnsearch(nisearcher,curni); totlam(i,n) = totlam(i,n)+Lambda(Idx,n,m); totlam(i,n) = totlam(i,n)+Lambda(Idx,n); clear Lambda end % % if (totlam > bestpar(1)) % % bestpar = [totlam,f_gr(n),parbank(i,:)]; Loading @@ -449,14 +457,18 @@ toc % disp(bestpar); % save('C:\Users\Filippo\Desktop\XMM_Jxxx\risultelli.mat'); save(['C:\Users\Filippo\Desktop\J1544_2022\\risultelli_',num2str(Tseg),'s.mat']); save([pathfi,'risultelli_',num2str(Tseg),'s.mat']); for n = 1:length(f_gr) hold on txt = ['f_{gr} = ',num2str(f_gr(n))]; plot(totlam(:,n),'DisplayName',txt) end legend %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%% Fai il grafico delle totlam a posteriori %%%%%%%%%%%%%%%% % for n = 1:length(f_gr) % hold on % txt = ['f_{gr} = ',num2str(f_gr(n))]; % plot(totlam(:,n),'DisplayName',txt) % end % legend %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Loading