Starlink Project
Starlink User Note 109.11

Peter W. Draper and Nicholas Eaton

23 October 2002

Copyright © 2002 Particle Physics and Astronomy Research Council

Position Intensity and Shape Analysis




1 Introduction
2 Classified listing of routines
3 Running the PISA software
 3.1 Getting Help
4 Object detection and parameterisation – PISAFIND
 4.1 Pre-processing of the image
 4.2 Restriction on input data
 4.3 Content of the results files
5 Visual inspection – PISAPLOT
6 Determining a profile model – PISAFIT
7 Model data generation — PISAGEN & ADDNOISE
8 Using the PISA parameters — PISAPEAK, PISAKNN, PISA2CAT & PISA2ARD
 8.1 PISA data in CURSA and CATPAC
 8.2 Getting the PISA output files into CLUSTAN
 8.3 Object classification
 8.4 Transforming PISA parameters to intensity invariant form
 8.5 Distribution free classification
9 List manipulation utilities — PISACUT & PISAMATCH
10 Examples of running the PISA software
 10.1 Isophotal analysis with deblending
 10.2 Plotting overlaid ellipses
 10.3 Performing profile fitting analyses
 10.4 Fancy plots
 10.5 Simple object classification
 10.6 Comprehensive example
11 Acknowledgements
12 References
A Full routine descriptions
ADDNOISE – Adds noise to model data
PISA2ARD – Creates an ARD description of detected objects
PISA2CAT – Converts a PISA formatted data file into a catalogue
PISACUT – Separates a formatted file into two parts
PISAFIND – Locate and parameterise objects on an image frame
PISAFIT – Fits a mixed Gaussian - Exponential - Lorentzian profile to STELLAR images
PISAGEN – Generates a frame of model objects
PISAGREY – Plots an NDF as a greyscale
PISAKNN – Uses the results of PISAPEAK to discriminate objects into two classes
PISAMATCH – Matches the indices in one file against those in a second file
PISAPEAK – Transforms the PISAFIND parameterisations so that the variables are intensity invariant
PISAPLOT – Plots an ellipse map of the objects found by PISAFIND

B The PISA profiling function
C Limitations
D Changes in this release