Commit b71cac8a authored by Marc Wolf's avatar Marc Wolf

initial results 1Hz/s sweep

parent f8864e66
(seti) marc@gamma2:~/tmp> gnuplot
G N U P L O T
Version 5.2 patchlevel 2 last modified 2017-11-15
Copyright (C) 1986-1993, 1998, 2004, 2007-2017
Thomas Williams, Colin Kelley and many others
gnuplot home: http://www.gnuplot.info
faq, bugs, etc: type "help FAQ"
immediate help: type "help" (plot window: hit 'h')
Terminal type is now 'qt'
gnuplot> plot "spikes.dat" using 3:4 with lines
gnuplot> plot "spikes.dat" using 3:4 with linespoints
gnuplot> plot "spikes.dat" using ($3-2.45699e6):($4/1e9) with linespoints
gnuplot> plot "spikes.dat" using ($3-2.45699e6):($4/1e9) with linespoints
gnuplot>
gnuplot> plot "spikes.dat" using (($3-2456992.3882765)*86400):($4/1e9) with linespoints
gnuplot> plot "spikes.dat" using (($3-2456992.3882765)*86400):($4/1e9) with linespoints
gnuplot> f(x)=a+b*x
gnuplot> fit f(x) "spikes.dat" using (($3-2456992.3882765)*86400):($4/1e9) via a,b
iter chisq delta/lim lambda a b
0 8.2090709337e+04 0.00e+00 3.73e+01 1.000000e+00 1.000000e+00
1 2.3471250618e+01 -3.50e+08 3.73e+00 9.862457e-01 2.344323e-02
2 5.9684797819e-01 -3.83e+06 3.73e-01 1.137641e+00 4.671437e-03
3 2.0094532099e-04 -2.97e+08 3.73e-02 1.415923e+00 8.566355e-05
4 7.0184075650e-12 -2.86e+12 3.73e-03 1.421124e+00 1.410349e-08
5 3.6951405631e-16 -1.90e+09 3.73e-04 1.421125e+00 -1.905864e-09
6 3.6951403322e-16 -6.25e-03 3.73e-05 1.421125e+00 -1.905894e-09
iter chisq delta/lim lambda a b
After 6 iterations the fit converged.
final sum of squares of residuals : 3.69514e-16
rel. change during last iteration : -6.24915e-08
degrees of freedom (FIT_NDF) : 28
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.63276e-09
variance of residuals (reduced chisquare) = WSSR/ndf : 1.31969e-17
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 1.42113 +/- 1.333e-09 (9.38e-08%)
b = -1.90589e-09 +/- 2.531e-11 (1.328%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.867 1.000
gnuplot> plot "spikes.dat" using (($3-2456992.3882765)*86400):($4/1e9) with linespoints,f(x)
gnuplot> fit [20:*] f(x) "spikes.dat" using (($3-2456992.3882765)*86400):($4/1e9) via a,b
iter chisq delta/lim lambda a b
0 6.7548417430e-17 0.00e+00 1.00e+00 1.421125e+00 -1.905894e-09
1 6.4574072146e-17 -4.61e+03 1.00e-01 1.421125e+00 -1.905894e-09
2 6.4572725059e-17 -2.09e+00 1.00e-02 1.421125e+00 -1.905894e-09
3 6.4572725059e-17 -1.19e-07 1.00e-03 1.421125e+00 -1.905894e-09
iter chisq delta/lim lambda a b
After 3 iterations the fit converged.
final sum of squares of residuals : 6.45727e-17
rel. change during last iteration : -1.18501e-12
degrees of freedom (FIT_NDF) : 21
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.75354e-09
variance of residuals (reduced chisquare) = WSSR/ndf : 3.07489e-18
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 1.42113 +/- 1.261e-09 (8.875e-08%)
b = -1.90589e-09 +/- 2.103e-11 (1.104%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.957 1.000
gnuplot>
115 spike 2456992.3882765 1421124999.5232 29.560640335083
115 spike 2456992.3883057 1421124999.5232 32.247173309326
115 spike 2456992.3883396 1421124999.5232 27.973255157471
115 spike 2456992.3883493 1421124999.5232 24.578926086426
115 spike 2456992.3883833 1421124999.5232 24.822883605957
115 spike 2456992.3884319 1421124992.3706 24.534191131592
115 spike 2456992.3884367 1421124989.9864 24.679758071899
115 spike 2456992.3885095 1421124978.0655 27.259763717651
115 spike 2456992.38866 1421124951.8394 30.490980148315
115 spike 2456992.3887231 1421124939.9185 24.280588150024
115 spike 2456992.3887377 1421124937.5343 31.799116134644
115 spike 2456992.388796 1421124927.9976 27.239990234375
115 spike 2456992.3888105 1421124925.6134 32.323802947998
115 spike 2456992.3888251 1421124923.2292 27.03603553772
115 spike 2456992.3888348 1421124920.845 25.780542373657
115 spike 2456992.3888639 1421124916.0767 39.135482788086
115 spike 2456992.3888785 1421124913.6925 37.142158508301
115 spike 2456992.3888931 1421124911.3083 24.253774642944
115 spike 2456992.3889173 1421124908.9241 26.565528869629
115 spike 2456992.3889222 1421124906.5399 33.558132171631
115 spike 2456992.3889319 1421124904.1557 31.589908599854
115 spike 2456992.3889465 1421124901.7715 27.825784683228
115 spike 2456992.3890144 1421124889.8506 28.15975189209
115 spike 2456992.3890775 1421124880.3139 27.080448150635
115 spike 2456992.3890872 1421124877.9297 29.128053665161
115 spike 2456992.3892183 1421124856.472 28.099309921265
115 spike 2456992.3892232 1421124854.0878 30.572231292725
115 spike 2456992.3892329 1421124851.7036 24.64086151123
115 spike 2456992.3892377 1421124851.7036 24.982915878296
115 spike 2456992.389296 1421124842.1669 36.433933258057
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