ULTRACAM biases

This provides links to four lists generated automatically from the ULTRACAM archive by the Python script procbias. This goes through all runs and divides them into the following classes:

• Gold standard biases: these have passed all tests and are the most reliable. They can be used with reasonable confidence and should be your first port of call when looking for bias frames.
• Silver standard biases: passed all but the final object detection test. Spurious detections of objects can be caused by low-level fixed-pattern noise which may not really matter, but you should use these frames with some caution, i.e. examine the bias before using it.
• Failed biases: this is a list of runs where there is some indication that thery were intended as biases (presence of 'bias' in either the comments or target name) but which failed the 'procbias' tests.
• All non-biases: complete list of runs that did not make it as biases.

The first two and fourth sets should cover all runs (eventually) but are dis-joint. The third is a subset of the third list, designed to help trace errant biases.