NICMOS data are subject to a variety of anomalies, artifacts, and
instabilities which complicate the task of data reduction and analysis. Most of these can be handled with careful recalibration and processing, which usually yields excellent, scientific grade data. Careful NICMOS data processing usually requires a certain amount of “hands-on” interaction from the user, who must inspect for data anomalies and treat them accordingly during the reduction procedures. In some cases, recognizing and treating problems with NICMOS data requires a moderately in-depth understanding of the details of instrumental behavior; problems with dark and bias subtraction are good examples
We begin with a checklist of potential NICMOS instrumental anomalies
and potential data processing problems about which the user should be aware. Each of these is discussed in further detail in the sections which follow: the nature of the problem and its impact on NICMOS data is illustrated, and possible processing solutions are considered. The relevant sections for each anomaly are given in parentheses below.