# Description¶

The ami_average step is one of the AMI-specific steps in the ami sub-package and is part of Stage 3 calwebb_ami3 processing. It averages the results of LG processing from the ami_analyze step for multiple exposures of a given target. It computes a simple average for all 8 components of the “_ami” product files from all input exposures.

# Arguments¶

The ami_average step does not have any step-specific arguments.

# Inputs¶

## LG model parameters¶

Data model

AmiLgModel

File suffix

_ami

The only input to the ami_average step is a list of one or more “_ami” files to be processed. These should be output files from the ami_analyze step. The input to the step must be in the form of a list of “_ami” file names. Passing data models or ASN files is not supported at this time. Use the calwebb_ami3 pipeline to conveniently process multiple inputs.

# Outputs¶

## Average LG model parameters¶

Data model

AmiLgModel

File suffix

_amiavg or _psf-amiavg

The ami_average step produces a single output file, having the same format as the input files, where the data for the 8 file components are the averages from the list of input files. If the inputs in the ASN file are designated as “science”, the output product type will be “_amiavg”, whereas if the inputs are designated as “psf”, the output product type will be “_psf-amiavg.” The output file name syntax is source-based, using the product name specified in the input ASN file, e.g. “jw87600-a3001_t001_niriss_f480m-nrm_amiavg.fits.”

# Reference Files¶

The ami_average step does not use any reference files.