The Final Calibration Pipeline (nfcalib)

Authors: (nfcalib) Brian Lee, Brian Yanny
(Ron Kollgaard, Gordon Richards, and others wrote the original fcalib, however this software is no longer used.)

Description

The basic purpose of the final calibration pipeline is to find the conversion factor between counts as observed by the 2.5m telescope and real stellar magnitudes for each filter and frame. This is done by finding overlapping PT patches and calculating the conversion factor (or zeropoint) for each star found in both the patch and the 2.5m data. Typically on order of 100 stars overlap per patch and filter, and thus 100 individual measurements of the conversion factor can be made. A global average value is calculated from these 100 values. Initially a simple median was used, currently a weighted mean with iterative 3 sigma clipping is used. (The two methods agree to less than 0.5%, or 0.005 magnitudes.) After rejecting the outliers, the remaining distribution has a sigma of approximately 0.03, with a statistical error on the calculated value of 0.003 or 0.3%.

Figure 1: Sketch of the photometric calibration process.

Extinction is measured approximately every three hours by the PT telescope. Before calibration can begin, these values are interpolated to create approximate field by field extinction values, as shown at the top of figure 1.

The pipeline then examines patches overlapping the 2.5m images one by one. (See middle of figure 1.) For each star (saturated stars are rejected) which matches between the imaging 2.5m data and the PT patche, the following equation, indicating a zeropoint, is derived in each of 5 filters (u' g' r' i' z'):

zeropoint = -2.5*log10(2.5m counts/second) - mag_PT - k_PT*Airmass - color_terms

where:

This set of approximately 100 star-by-star zeropoints is averaged with weights depending primarily on the errors in the star magnitudes to give a single zeropoint for each filter in each PT patch overlap. Because PT patches overlap just a few fields every hour or more, the solution must be extended from these fields to cover the remaining fields. Solutions are extrapolated as a constant to the beginning and ending of the run, and interpolated in fields between solutions, as shown in the bottom of figure 1.

Requirements

The essential requirement which applies to the final calibration pipeline is stated in section 4.1.11 of the requirements document:

11. Time variation of photometricity along a stripe:

Results and Status

We have examined calibrations along three runs (745, 752, 756) which all at least partially overlap using available PT patches and tests comparing filters and adjacent columns.

Top priority is meeting the requirements listed above. While dispersion of matching any one PT patch to a 2.5m imaging run appears to yield rms errors within tolerance, patch to patch matching systematics are occasionally several times the requirement value. We are currently working to identify the source of these zero point variations between patches.

Problems we have examined or uncovered in this work include:

Additionally, numerous cross checks of the PT patches against themselves and against repeated 2.5m imaging scans are underway.

Improvements

Automation of the pipeline, so that it runs without intervention for choosing and rejecting outlying patches is desired. Currently this selection is done primarily by hand due to the previously mentioned problems with PT patches.

A suite of Q/A integrated tests which examine nearby SDSS imaging stripes for systematic photometric offsets is desired.

In some cases patches have been observed multiple times, or slightly offset patches may overlap the same fields. The ability to combine overlapping patches for a better solution should be added to nfcalib.

Automated code to run every six months to one year to determine color term co-efficients does not yet exist.

Needed:

PT patches: more, better positioned patches are needed for normal calibrations and testing. These will become available as normal observations are made.

Improved 2.5m aperture magnitudes from the photo pipeline. This is being fixed now.


Brian Lee / bclee@fnal.gov / (630) 840-6646
Last modified: Mon Jul 17 16:33:39 GMT 2000