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| UVES:
QC from STD frames |
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| STD FRAMES | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Purpose
Flux standard stars (STD) are observed on a regular basis with UVES on Paranal. Their purpose is to monitor the overall instrument efficiency (DQE; telescope+instrument+detectors) and to provide a measurement of the spectral response. They are taken with the slit width set to 10 arcseconds. The flux standard table is delivered as part of the Service Mode package. It can be downloaded as flxstd.tfits.Z (576 kB). It is based on the ESO library of standard stars. The extinction table (also delivered) can be downloaded here. Strategy for acquisition Two kinds of standard star observations exist: daily measurements close to morning or evening twilight and long-term measurements during night-time. Daily measurements: The acquisition strategy for daily STD measurements has been changed in November 2002. Now, standard stars are observed in three dichroic settings (346+580, 390+564, and 437+860, 1x1 binning) only, independently of the settings used for science observations during the night. These three dichroic settings are measured every Service Mode night close to twilight with standards taken from a small set of stars with few spectral features. They are used for daily performance checks and as input to create master response curves for flux calibration of science spectra. Long-term measurements: Since April 2002, a dedicated set of standard stars is oberserved about twice a month during night-time under photometric and dark conditions and at low airmass. The reason for this strategy is to avoid the large intrinsic scatter (see below) of the daily measurements taken close to twilight. These measurements are used for long-term trending of the overall instrument efficiency. QC1 parameters: chromatic efficiency The pipeline processes the raw STD data (de-bias, flatten, average extraction), divides the flux table into the result and finally transforms into a fractional efficiency (where 0.1 means 10% of all incoming photons are registered on the CCD). The pipeline delivers an efficiency table in tfits format (called UV_PEFC). Find more about the reduction of STD files here.
The efficiency table can be plotted, per order, over wavelength. The blaze wavelength of each order and the corresponding efficiency value there is written as QC1 parameter into the FITS header. The corresponding numbers for the central order are stored in a database as BL_WLEN and BL_EFFIC. The BL_EFFIC parameter is available for trending, assuming that all efficiency curves per setting are similar apart from a scaling factor. Their trending with time primarily reflects efficiency variations of instrument components.
The monitoring of the BL_WLEN and BL_EFFIC values for all standard settings is used to
It has turned out that the proper selection of data is crucial. Accepting all BL_EFFIC values as produced by the pipeline produces a large scatter easily in excess of 10%. Reasons for this are:
High-airmass data are observed to have the spectrum in the blue exposures shifted off-center which, especially in combination with a high sky level, brings the pipeline algorithm to assume an unrealistic background, with odd results for the efficiency. The same effect is observed under bad seeing since then the SKY level is unreliable as well. Stars with a rich absorption line spectrum tend to produce a larger scatter since BL_EFFIC is monochromatic.
The trending plots (see figure) show the individually measured efficiency values as small circles: the results of the daily twilight measurements are indicated as red open circles (for 1x1 binning) or as filled blue circles (2x2 binning), respectively. Filled magenta circles denote measurements during night-time for long-term trending. The latter show much smaller scatter then the twilight observations. The maximum of the histogram, the rms error of the average, and the number of points used are also indicated on the trending plots. There exists also a separate plot for long-term trending of the night-time STD observations (see current plot as example).
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| Typical values | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Here are some typical values observed for the UVES DQE in the period JAN-MAR 2002. These numbers are taken from the trending plots.
Note: Routine recording of these numbers started with Oct 2000. The 2000 values, however, show a large scatter since at that time no SKY subtraction was performed by the pipeline for STD frames. Hence these numbers are not available here.
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| Trending: Complete efficiency curve | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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The above trending tracks the evolution of the UVES efficiency at certain isolated wavelength points, namely at the blaze wavelength of the central order of the selected settings. From the data points for the blaze wavelengths of all orders, it is straightforward to construct a more complete UVES efficiency curve. For this process, it is even more important to avoid systematic errors, the most important of which would be bad nights. Hence the following selection criteria are applied: - use the histogram maxima (see above) for the selected period as starting
value; Results for different periods are available through the query interface. Four examples are shown here:
The following table shows average efficiency values for all settings during different periods:
MJD-51000 = 1791: June 2003, before cleaning and recoating MJD-51000 = 1830: July/August 2003, after cleaning of M1 and M3 but before recoating MJD-51000 = 1901: October 2003, after re-coating of M1-M3 MJD-51000 = 2187: 01JUL-10OCT 2004, before exchange of blue CCD MJD-51000 = 2292: 14Oct-30Nov 2004, after exchange of blue CCD From a comparison of the June 2003 with the February 2002 values, an overall efficiency loss of about 9% per year can be determined. The table shows also that the mirror cleaning accounts for 80% of the gain in efficiency and the recoating for 20%.
The UVES pipeline produces response curves from STD calibration frames. The results from pipeline versions earlier than 1.6 were, however, of limited value for direct use since they were not binned to the resolution of the reference flux table (typically 50 or 16 A), were not normalised for exposure time, gain, and binning, and did not contain an extinction correction. These shortcomings have been removed with version 1.6.0 of the pipeline. However, all response curves suffer frequently from high SKY background (since they are taken during twilight) and from high exposure level so that the extraction quality is low. There is the same scatter of average level as observed for the efficiency data. Therefore, a set of master response curves has been created. This set can be used for flux calibration of the reduced science data. Presently these curves exist for the period after 2001-10-01. Earlier data taken with the same filter and grating have the same shape of response curve, but scaled down. Major events that affected the shape and the level of the response curves:
Note: Some response curves have been edited to replace artificial features where the standard stars have strong absorption lines. In the 346 and the 860REDU curves, some points have also been extrapolated in the UV and IR part, respectively, since the flux tables do not extend into these regions. Note: Standard stars are reduced using optimal extraction (see science recipe for details). The resulting master response curves can also be applied to average extraction (including slicer observations). Note: Accurate absolute flux calibration cannot be achieved but relative variations
of the response curve can be effectively corrected. For science data reduced in the same way
as the standard stars the estimated absolute flux calibration accuracy is perhaps
10% but almost certainly NOT better than this and quite possibly worse due to changes in the
optical system (e.g. dust on the mirrors) with time and variations from night to night of the
atmosphere itself. Use of solutions for earlier periods in time:
To give an idea about the impact of the flux correction on the large-scale spectral slope, and about the precision that can be achieved, we have prepared a tutorial about flux calibration. Here you can also find a description of how to flux-calibrate your UVES data. |
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