IDL> watp 9.00000 6.50000 4.00000 elements ---------------------------- Reading data and model... lst_1xx_120_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: -327.48539 Gain*BW*k is: 0.00086826696 T(K)= 350.50541 + 1096.9847 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.00086826696 8.6826700e-07 -327.48539 G_0,G_1,Tsys= 0.0055578901 -1.6268560e-05 -304.32076 with 5 iterations and 0.0036019559 chi-squared ---------------------------- Reading data and model... lst_2xx_120_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 257.59873 Gain*BW*k is: 0.0077275416 T(K)= -223.04103 + 125.22572 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0077275416 7.7275420e-06 257.59873 G_0,G_1,Tsys= 0.044306268 -0.00012763509 340.84749 with 5 iterations and 0.028409574 chi-squared ---------------------------- Reading data and model... lst_3xx_120_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 194.46461 Gain*BW*k is: 0.0038309594 T(K)= -161.19404 + 252.40121 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0038309594 3.8309596e-06 194.46461 G_0,G_1,Tsys= 0.023921018 -7.0047911e-05 276.80635 with 5 iterations and 0.0039998886 chi-squared ---------------------------- Reading data and model... lst_4xx_120_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 361.61277 Gain*BW*k is: 0.0039125830 T(K)= -266.46953 + 234.86332 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0039125830 3.9125832e-06 361.61277 G_0,G_1,Tsys= 0.028473775 -8.5867922e-05 505.19340 with 5 iterations and 0.035157400 chi-squared 4.00000 elements ---------------------------- Reading data and model... lst_1xx_130_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: -165.59208 Gain*BW*k is: 0.0026662230 T(K)= 184.00627 + 361.31252 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0026662230 2.6662231e-06 -165.59208 G_0,G_1,Tsys= 0.016964778 -4.9660151e-05 -137.35197 with 5 iterations and 0.014776713 chi-squared ---------------------------- Reading data and model... lst_2xx_130_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 55.687049 Gain*BW*k is: 0.0090418092 T(K)= -34.892487 + 107.41890 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0090418092 9.0418096e-06 55.687049 G_0,G_1,Tsys= 0.060606819 -0.00017959623 114.70607 with 5 iterations and 0.012900738 chi-squared ---------------------------- Reading data and model... lst_3xx_130_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 80.153245 Gain*BW*k is: 0.0040893595 T(K)= -57.866404 + 237.25140 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0040893595 4.0893597e-06 80.153245 G_0,G_1,Tsys= 0.026612398 -7.8448554e-05 139.10843 with 5 iterations and 0.0039767610 chi-squared ---------------------------- Reading data and model... lst_4xx_130_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 132.74413 Gain*BW*k is: 0.0040868689 T(K)= -106.37653 + 236.62770 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0040868689 4.0868691e-06 132.74413 G_0,G_1,Tsys= 0.026851419 -7.9359155e-05 201.74928 with 5 iterations and 0.0014232175 chi-squared 4.00000 elements ---------------------------- Reading data and model... lst_1xx_140_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 44.327524 Gain*BW*k is: 0.0057411045 T(K)= -31.731533 + 170.54141 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0057411045 5.7411048e-06 44.327524 G_0,G_1,Tsys= 0.030659384 -8.6748577e-05 79.543869 with 5 iterations and 0.011864026 chi-squared ---------------------------- Reading data and model... lst_2xx_140_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 94.154972 Gain*BW*k is: 0.0096003919 T(K)= -77.719145 + 101.53824 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0096003919 9.6003924e-06 94.154972 G_0,G_1,Tsys= 0.057990572 -0.00016860307 142.42767 with 5 iterations and 0.0078905540 chi-squared ---------------------------- Reading data and model... lst_3xx_140_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 171.47397 Gain*BW*k is: 0.0046234825 T(K)= -151.37249 + 210.32909 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0046234825 4.6234827e-06 171.47397 G_0,G_1,Tsys= 0.026081088 -7.4833353e-05 224.93690 with 5 iterations and 0.0024751505 chi-squared ---------------------------- Reading data and model... lst_4xx_140_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 189.95186 Gain*BW*k is: 0.0046387693 T(K)= -174.20339 + 211.03685 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0046387693 4.6387695e-06 189.95186 G_0,G_1,Tsys= 0.022618927 -6.2709944e-05 235.42893 with 5 iterations and 0.0031248983 chi-squared 4.00000 elements ---------------------------- Reading data and model... lst_1xx_150_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 119.61072 Gain*BW*k is: 0.010157085 T(K)= -110.08486 + 96.869263 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.010157085 1.0157085e-05 119.61072 G_0,G_1,Tsys= 0.048515416 -0.00013368926 152.68637 with 5 iterations and 0.0062701447 chi-squared ---------------------------- Reading data and model... lst_2xx_150_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 53.426982 Gain*BW*k is: 0.010090144 T(K)= -41.953346 + 96.944092 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.010090144 1.0090144e-05 53.426982 G_0,G_1,Tsys= 0.059031472 -0.00017043123 89.025696 with 5 iterations and 0.011961053 chi-squared ---------------------------- Reading data and model... lst_3xx_150_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 107.43325 Gain*BW*k is: 0.0056537259 T(K)= -87.029169 + 170.65038 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0056537259 5.6537261e-06 107.43325 G_0,G_1,Tsys= 0.036718419 -0.00010825932 155.42481 with 5 iterations and 0.0059690054 chi-squared ---------------------------- Reading data and model... lst_4xx_150_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 119.91253 Gain*BW*k is: 0.0056445917 T(K)= -106.96656 + 173.28859 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0056445917 5.6445919e-06 119.91253 G_0,G_1,Tsys= 0.027733597 -7.6962091e-05 153.36725 with 5 iterations and 0.0079458241 chi-squared 4.00000 elements ---------------------------- Reading data and model... lst_1xx_160_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 131.14582 Gain*BW*k is: 0.014138351 T(K)= -121.88034 + 69.504236 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.014138351 1.4138352e-05 131.14582 G_0,G_1,Tsys= 0.067967725 -0.00018770105 162.51648 with 5 iterations and 0.0053968501 chi-squared ---------------------------- Reading data and model... lst_2xx_160_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 50.831815 Gain*BW*k is: 0.010370993 T(K)= -39.161457 + 93.946905 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.010370993 1.0370993e-05 50.831815 G_0,G_1,Tsys= 0.064386090 -0.00018811560 84.303083 with 5 iterations and 0.011806467 chi-squared ---------------------------- Reading data and model... lst_3xx_160_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 89.563927 Gain*BW*k is: 0.0067150159 T(K)= -71.372960 + 143.42764 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0067150159 6.7150162e-06 89.563927 G_0,G_1,Tsys= 0.044806567 -0.00013273442 131.46571 with 5 iterations and 0.0070868949 chi-squared ---------------------------- Reading data and model... lst_4xx_160_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 112.04110 Gain*BW*k is: 0.0063870307 T(K)= -101.82716 + 153.46637 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0063870307 6.3870310e-06 112.04110 G_0,G_1,Tsys= 0.030556827 -8.4223097e-05 140.48354 with 5 iterations and 0.0059597518 chi-squared 4.00000 elements ---------------------------- Reading data and model... lst_1xx_170_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 150.20173 Gain*BW*k is: 0.018260811 T(K)= -138.32624 + 53.456709 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.018260811 1.8260811e-05 150.20173 G_0,G_1,Tsys= 0.093459131 -0.00026246092 184.36130 with 5 iterations and 0.0086129800 chi-squared ---------------------------- Reading data and model... lst_2xx_170_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 78.233631 Gain*BW*k is: 0.010285246 T(K)= -66.935805 + 94.649480 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.010285246 1.0285247e-05 78.233631 G_0,G_1,Tsys= 0.062633107 -0.00018246027 111.15894 with 5 iterations and 0.0034772174 chi-squared ---------------------------- Reading data and model... lst_3xx_170_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 90.073895 Gain*BW*k is: 0.0078514173 T(K)= -73.311774 + 122.49202 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0078514173 7.8514176e-06 90.073895 G_0,G_1,Tsys= 0.052878716 -0.00015695145 128.73336 with 5 iterations and 0.0055630692 chi-squared ---------------------------- Reading data and model... lst_4xx_170_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 141.60935 Gain*BW*k is: 0.0065878312 T(K)= -130.27393 + 148.28060 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0065878312 6.5878315e-06 141.60935 G_0,G_1,Tsys= 0.032940762 -9.1944005e-05 173.24585 with 5 iterations and 0.0025667132 chi-squared 4.00000 elements ---------------------------- Reading data and model... lst_1xx_180_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 88.954153 Gain*BW*k is: 0.023343827 T(K)= -75.501196 + 41.365684 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.023343827 2.3343829e-05 88.954153 G_0,G_1,Tsys= 0.14993120 -0.00044143175 122.63572 with 5 iterations and 0.019764411 chi-squared ---------------------------- Reading data and model... lst_2xx_180_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 62.340518 Gain*BW*k is: 0.011393325 T(K)= -51.496133 + 85.161828 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.011393325 1.1393326e-05 62.340518 G_0,G_1,Tsys= 0.073408881 -0.00021613922 92.426535 with 5 iterations and 0.0043867539 chi-squared ---------------------------- Reading data and model... lst_3xx_180_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 54.664602 Gain*BW*k is: 0.0090743458 T(K)= -38.192103 + 105.11830 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0090743458 9.0743462e-06 54.664602 G_0,G_1,Tsys= 0.069521811 -0.00021060402 90.311174 with 5 iterations and 0.0078311627 chi-squared ---------------------------- Reading data and model... lst_4xx_180_20.7.2007.txt Fitting polynomials of degree 6 Using normalized time scale in LST Selecting LST range from 1 to 23 Fit for Trec T_rec in Kelvin: 92.810810 Gain*BW*k is: 0.0075069504 T(K)= -80.234991 + 128.97215 * Power Selecting LST range from 1 to 23 Guesses (G_0,G_1,Tsys)= 0.0075069504 7.5069507e-06 92.810810 G_0,G_1,Tsys= 0.046713657 -0.00013672416 125.53832 with 5 iterations and 0.0012863089 chi-squared the.whole.shebang.ps closed. IDL>