CSO-Fits
Polynomial fits to CSO tau data |
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We have made a concentrated effort to better characterize the
extinction corrections in the different SCUBA filters and update the
previous work on the relationships between these and the CSO Tau
value. A full description of this analysis and other documentation regarding calibration can be found here.
This has led to a change in the way we recommend reducing SCUBA data.
Our preferred method of calculating sky opacities at the SCUBA wavelengths
of 450 and 850µm is to fit a polynomial to the CSO data for the
night concerned, and for any observation infer the 450 and 850 opacities
from the polynomial fit using the relationships derived above. This has
two advantages - i) CSO tau is sampled much more frequently than
skydips, ii) fitting a smooth curve removes noise associated with individual
data points.
Fits have been produced for the time since SCUBA has become operative -
primarily in order to automatically produce a database of reduced SCUBA observations
which are made available to the public. But scientists can also use
these fits to reduce their own data. Here you can find postscript
plots of the fits produced for each night, as well as files
containing the numerical fit parameters. An example plot is given below. The green
data points are CSO tau measurements, the red data points are 850 micron
skydips converted to the CSO values using the correlations derived. The solid
line is the fit used. The x axis is in units of fraction of the 24 period past
midnight UT. The residual between the data and the fit is also shown.
Using the Fits to reduce data
Recommended Data-reduction techniques using CSO-fits
We give the following recommendations for the use of the CSO-Fits:
- "1.
- For 850-µm
data, both the skydips (with the updated values
of T_HOT, T_COLD and
)
and the revised CSO Tau
relations are trustworthy. Given the infrequency of skydip
measurements, we recommend that when the CSO Tau monitor is working,
the polynomial fits be used in conjunction with the revised relations.
However, if observers are concerned that the CSO Tau measurements are
obtained at a fixed azimuth, the skydips will be more than sufficient
for data reduction.
- 2.
- For 450-µm
data, individual skydips cannot be trusted.
However, the revised CSO Tau relations were constructed with extreme
care (Section 5), and are believed to be solid. To reduce
450-µm
data, we suggest using either the polynomial fits to the
CSO Tau or the 850-µm
skydips, in conjunction with the new
relations.
- 3.
- For post-upgrade narrow band data, there are not enough data to
construct CSO Tau relations. There is no a priori reason for
these relations to differ from the pre-upgrade relations. The
pre-upgrade relations should be a good approximation until more data
are available to confirm this."
(from Calculating
Sky Opacities: a re-analysis for SCUBA data by Elese N. Archibald,
Jeff W. Wagg & Tim Jenness).
Using the Fits with ORAC-DR
Oracdr can be told to use these fits in its reduction of your data.
Simply use oracdr -calib tausys=csofit .
For each observation the value of sky opacity is derived at the beginning
and end using the polynomial fit, and the relationships between CSO tau
and sky opacities. If your date is recent it is quite possible that the
version of oracdr installed at your institute does not have the most up
to date fits. Each month has a nejpolys.txt file with the fits which
can be appended to the file ORACDR uses:
i) If your oracdr environment variables are not set type
oracdr_scuba
ii) type setenv | grep ORAC_DATA_CAL
this will tell you which directory oracdr keeps its calibration files in.
iii-a.) replace your current file csofit.dat in this directory with the file csofit.dat from these web pages (which contains all the fits in the archive) to bring your version of oracdr up to date.
iii-b.) or you can just append the nejpolys.txt file to your csofit.dat file.
You may not have permission to do steps iii-a or iii-b, and may need to get you your site
manager to do it. Alternatively you can copy the directory to your own space
and set the environment variable to point to it like this:
1.) Type oracdr_scuba
2.) Type setenv | grep ORAC_DATA_CAL
This gives you the directory where oracdr looks for calibration related data. i.e.: /jcmt_sw/oracdr_cal/scuba/
3.) Make a directory where you can keep calibration data and have writing
permission for. i.e
mkdir /myhome/mycalibration/
4.) Copy all the data from one to the other by typing (in this example)
cp -r /jcmt_sw/oracdr_cal/scuba/* /myhome/mycalibration/
5.) Append all the nejpolys.txt you want to
the file /myhome/mycalibration/csofit.dat
6.) Type setenv ORAC_DATA_CAL /myhome/mycalibration/
If you run oracdr it now looks up calibration data in /myhome/mycalibration.
7.) Type oracdr -calib tausys=csofit
Here is a general reference for the use of different calibration mode in ORAC-DR.
Using the Fits with SURF
If you use surf you are going to have to handle the polynomial fit yourself.This can either be done by a visual read-out of the graphic files or more precisely by evaluating the fits numerically.
You can get the numerical parameters from the file nejpolys.txt which contains the fits for a full month, or from the file csofit.dat which contains all fits to date.. Each line in these files is a separate
fit. The first column is the utdate. The second and third columns are the
range of time over which the fit holds, given in terms of the fraction of
the 24 hour period starting at midnight UT. The fourth
column is the order of the fit (n). The next n+1 columns are the polynomial
coefficients x0 to xn, where tau=x0+x1.t+x2.t^2....xn.t^n. These are all the
data you should need, and it should be pretty straight forward to use the
fit with minimal programming effort. A cgi-script to interface with
these files is on the wish list - but may take some time.
For the curious: the next two numbers
are measures of the mean residual of the fit.The third last number is
the value of sigma clipping used to throw-out bad cso-tau values, and
the second and third last numbers are the tau_min, and tau_max clipping
values used.
Production of the Fits
The following guidelines have been applied in the production of the polynomial fits to the CSO-Tau data since October 1 2001. The fits before that date generally obey these guidelines but might not always.
The fits are least squares polynomial fits to the CSO-Tau using the lowest polynomial order that gives a satisfactorily result
Generally no fits have been made for data where a polynomial fit was considered not to be applicable and/or misleading. In cases of doubt the error was chosen to be on the safer side, meaning no fit was produced when the value of tau was questionable.
No fits have been produced for nights with too few CSO measurements.
Noisy CSO data has not been fitted unless a fit was still considered applicable.
Normally just one fit covering the whole night has been made. In cases where the results would have been too poor, a maximum of two fits has been produced for a night.
The results of good skydips have been taken into account to decide about the best fit, which was considered the one most closely fitting the skydips as well. They are also used to make calls about the trustworthiness of questionable CSO data.
Skydips which are shown in the plots and used in the production of the fits have been screened for their quality. Only 850-µm skydips with the wideband filter have been used. The following cuts have been applied to DISCRETE SKYDIPS: 0.84 <
< 0.86 ; 0.7 < Bandwithfactor < 0.89 ; Residual < 15 ; for RASTER SKYDIPS the cuts are : 0.84 <
< 0.93 ; 0.7 < Bandwithfactor < 0.89 ; Residual < 220. These cuts have been choosen to assure that only trustworthy skydips are used and are a compromise between the statistics of the skydips, results of manual reductions and consistency of the archive. Approximately 80 percent of the Rasterdips and 95 percent of the Discrete Dips are used. (However, this does not reflect a lower trustworthiness of the Rasterdips.) The cuts applied for other filters can be requested if of interest.
The fitting of the CSO data is a deliberately subjective process, preferring a human judgment above an automated one, The guidelines above can therefore be disputed and the quality and applicability of any given fit can be challenged. This fact should be taken as a reminder that each calibration is a scientific task in itself and the responsibility finally rests with the observer. Any comments however, regarding the archived fits are very welcome.
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