6.5,2.,1.0
0 1 1200. 1570. 1390.60608 190.606064 3 2 7 -383.70871 -62.8955193
374.127319 423.477753 56.2853012 -30.3484592 -9.2479353 0.322015524 24.
Trcvr_apr04_b0_pol1
0 2 1200. 1580. 1395.75757 195.757568 3 2 7 -1043.31262 47.1154022
985.130188 1140.26379 -48.816925 -87.7335663 9.66568851 0.905578256 27.
Trcvr_apr04_b0_pol2
1 1 1200. 1570. 1390.60608 190.606064 3 2 7 -257.542603 -69.8463898
258.920685 284.227234 62.3239098 -18.1287994 -10.4277334 0.258043587 25.
Trcvr_apr04_b1_pol1
1 2 1200. 1570. 1390.60608 190.606064 3 2 7 -941.395264 -43.726963
881.957886 1032.22815 37.383873 -82.8644867 -5.44568205 0.772536576 25.
Trcvr_apr04_b1_pol2
2 1 1200. 1580. 1395.75757 195.757568 3 2 7 -540.5177 -9.28185844
527.366516 590.162842 7.93703938 -40.8852119 -2.36101961 0.247530535 25.
Trcvr_apr04_b2_pol1
2 2 1200. 1580. 1395.75757 195.757568 3 2 7 -1116.03271 30.1176872
1050.00854 1219.31519 -29.9823189 -94.8618469 4.58322573 0.85381794 27.
Trcvr_apr04_b2_pol2
3 1 1200. 1590. 1400.90906 200.909088 3 2 7 -310.398804 -57.8444366
309.435181 339.729309 52.9221954 -22.3936577 -9.48468876 0.257968098 24.
Trcvr_apr04_b3_pol1
3 2 1200. 1590. 1400.90906 200.909088 3 2 7 -459.671997 -24.4437313
440.550659 504.954681 21.4998798 -38.164341 -4.06310225 0.468100458 26.
Trcvr_apr04_b3_pol2
4 1 1200. 1590. 1400.90906 200.909088 3 2 7 -543.317261 -52.2191467
524.596619 592.978699 46.7158508 -42.5429993 -7.8893857 0.293396473 26.
Trcvr_apr04_b4_pol1
4 2 1200. 1590. 1400.90906 200.909088 3 2 7 -1029.97351 4.04926491
968.388611 1124.91077 -5.15104961 -88.2429199 0.473514974 1.22985244 27.
Trcvr_apr04_b4_pol2
5 1 1200. 1590. 1400.90906 200.909088 3 2 7 -529.958252 -34.1986656
507.481659 580.221619 30.2118359 -43.5136566 -4.91859579 0.763783216 26.
Trcvr_apr04_b5_pol1
5 2 1200. 1590. 1400.90906 200.909088 3 2 7 -987.992493 13.051816
937.253113 1075.54321 -13.102519 -81.1766052 1.79602695 0.343303829 23.
Trcvr_apr04_b5_pol2
6 1 1200. 1590. 1400.90906 200.909088 3 2 7 -665.708557 -39.4567299
639.889648 726.235962 35.4329185 -53.2213707 -6.10147762 0.293836921 25.
Trcvr_apr04_b6_pol1
6 2 1200. 1590. 1400.90906 200.909088 3 2 7 -760.408569 -48.9262543
719.421448 830.742249 45.4013863 -64.2598801 -8.16458702 0.950055718 26.
Trcvr_apr04_b6_pol2
==============================================================================================
Note: These models for T-receiver are based on measurements for all of the 14 pipelines.
==============================================================================================
The first line of this file consists of entries defining
* the default value as a substitude for the model when the later is
not applicable,
* any additional offset to be addded as a correction not incorporated in the
model (e.g. the contribution to receiver temperature from beyond the pre-amplifier
stages),
* any additional scaling relevant when a variant of the modeled parameter
is to be returned based on the data from this file
(e.g. the ratio of low_cal to high_cal, in case this file has model
for high-cal temperatures),
as in the present case, the first line reads
9.0,2.0,1.0
and would suggest 9 as the deafult estimate (say, for frequencies beyond the measured span),
2 would be addded to that suggested by the model, and no scaling is applied to estimate
an additional parameter (meaning it would be redundent).
The rest of the above entries (from line 2 and onward) corresponding to each
model fit refer to the following (in that sequence).
. beam no. (0 to 6 for ALFA),
. polarization channel no. (1 or 2 corresponding pol A or B, respectively),
. start and stop frequencies (MHz) for the model validity,
. reference frequency and the half-span in MHz
(to be used to scale the frequency variable to -1 to +1 range before
using it as an argument in the polynomial/harmonic functions fitted,
e.g. the scaled frequency X = [frequency - reference_frequency]/half-span),
. No. of coefficients, n_poly, associated with the polymonial part of the fit
(includes that for the 0th order; so the polymonial order is less by one),
For example, the polymonial part of the model for this number as 4
would amount to c0 + c1*X + c2*X**2 + c3*X**3
. No. of coefficient pairs, n_harm, associated with the harmonic (Cos & Sin)
part of the fit (where the final fit is a simple sum of the two parts)....,
For example, the harmonic part of the model would be (assuming n_poly = 4
in the above example), c4*cos(pi*X/2) + c5*sin(pi*X/2)
+ c6*cos(pi*X) + c7*sin(pi*X)
+ c8*cos(3*pi*X/2) + c9*sin(3*pi*X/2) ....
such that, in general, jth pair of basis functions would correspond to
cos(j*pi*X/2) & sin(j*pi*X/2),
with coeficient tags c#, c$ where # = (n_poly - j*2 - 2); $ = # + 1.
. the total number of coefficients to follow, say, N (= n_poly + 2*n_harm),
. the N best-fit coefficients, first those associated with the polynomial part
and then the pairs associated with the harmonic part.
(The model-fitting involves an iterative procedure
to indentify and exclude out-liers from the data-set to be fitted, leading
to hopefully somewhat robust estimation, particularly in the presence of RFI).
. the rms deviations of the data from the fit
. the degrees of freedom that the fit has benefited from
. a reference tag to relate to the plot-files showing the data & the best-fit
==============================================================================================
Note that the order in which the various model sets are listed above is not important,
though useful. Results of more than one set of measurements can be listed above, and
the subsequent interpreting code should be able to combine them suitably to obtain
improved estimates of the relevant parameter ( 1/[rms**2] weighting is recommended).
An example of such a code is fetch_from_best_fit_model.f made available for your use.
==============================================================================================
Any cribs about this blah blah may be directed to desh@naic.edu
30-Sep-2004
==============================================================================================