# COLUMN # COLUMN NAME UNITS DESCRIPTION #========================================================================== # 1 n Radial order # 2 l Degree # 3 m Azimuthal order # 4 nuguess microHz Initial guess frequency # 5 fwguess microHz Initial guess FWHM # 6 nu microHz Fit Frequency # 7 dnu microHz Frequency error # 8 fwhm microHz Fit FWHM # 9 dpfwhm microHz Positive FWHM error bar # 10 dmfwhm microHz Negative FWHM error bar # 11 psamp (m/s)**2/Hz Fit Power spectrum amplitude # 12 dppsamp (m/s)**2/Hz Positive PSAMP error bar # 13 dmpsamp (m/s)**2/Hz Negative PSAMP error bar # 14 bkg0 (m/s)**2/Hz Fit background power at nu # 15 dbkg0 (m/s)**2/Hz Background power error # 16 bkg1 (m/s)**2/Hz Fit background slope # 17 dbkg1 (m/s)**2/Hz Background slope error # 18 merit Merit function value # 19 niter Number of iterations to solution # 20 bad Good fit == 0, Bad Fit == 1 # # NOTE: "bad" is a 7 digit integer describing the rejection criteria: # # A fit is considered bad if: # # The following is a convergence criteria: # (abs(df) > 0.1) || (diff > 10) || (diff2 > 2) 1000000 # # diff=max(|\delta x_i/xi|/\epsilon_i) # where \delta x_i is the change in ith variable during the last iteration # and \epsilon_i is the convergence criterion, which is 1.e-3 for # width, power and background and 5.e-7 for frequencies. # # diff2=|\delta f/f|/\epsilon_1 # where \delta f is the change in the central frequency during the last # iteration. # # # (|nu - nuguess| > fwguess) 0100000 # # merit > 2.0 0010000 # # Power(mode)/Power(background) <= 1. 0001000 # # dnu > 5. 0000100 # # dnu > fwguess/2. 0000010 # # (fwhm/fwguess > 5.) || (fwguess/fwhm > 5.) 0000001 # # #END OF HEADER 2 0 0 404.6390 0.6430 405.2646 0.0940 0.0398 0.0012 0.0034 1112.6869 123.9543 103.9055 27.4938 0.7400 -0.0535 0.0163 1.0173 106 00000001 6 0 0 972.4890 0.6430 972.5448 0.0005 0.0001 0.0000 0.0000 15937.2881 4.9399 4.9373 16.6064 0.4707 -0.0177 0.0120 0.7445 113 00000001 10 0 0 1548.0940 0.6430 1548.0311 0.0007 0.0008 0.0000 0.0000 227.4264 0.0141 0.0141 17.7816 0.4871 0.0333 0.0115 0.6389 103 00000001 13 0 0 1957.3000 0.6430 1957.4559 0.0391 0.0019 0.0001 0.0002 3265412.50 392055.813 324561.469 25.0335 0.7777 0.0139 0.0204 0.7005 89 00000001 14 0 0 2093.5000 0.7395 2093.4619 0.1535 0.7425 0.2817 0.3952 169.9346 167.7329 61.9030 27.1748 0.8245 0.0451 0.0205 0.8307 109 00000000 15 0 0 2228.6001 0.8747 2228.5845 0.0882 0.4529 0.1607 0.2335 740.2921 838.2600 283.0750 30.0475 0.9468 0.0632 0.0243 0.7654 32 00000000 16 0 0 2362.5000 0.9612 2362.6963 0.1007 0.6314 0.1530 0.2657 1164.6339 944.7307 392.8179 37.7187 1.2250 0.0766 0.0298 0.7393 154 00000000 17 0 0 2496.3611 1.0070 2496.1692 0.1282 1.0960 0.2491 0.4443 1177.5555 721.7904 350.0995 41.5975 1.4931 0.0746 0.0344 0.7102 45 00000000 18 0 0 2629.8689 1.0310 2629.2988 0.0981 0.7395 0.1558 0.2863 3022.3628 2157.2678 964.6666 46.7517 1.8222 -0.0021 0.0464 0.7134 55 00000000 19 0 0 2764.4150 1.0560 2763.9700 0.1288 1.1607 0.1918 0.3846 3160.0544 1674.6575 873.1756 65.0513 2.4300 0.0955 0.0547 0.9874 39 00000000 ...