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LONGSLIT
LONGSLIT is designed primarily for the analysis of long-slit spectra,
although this is mainly a matter of the display options available--the
fitting routines, for example, can cope with three-dimensional data.
The basic method of operation of LONGSLIT is as follows:
- Locate lines. This is done by extracting part (or all) of the
image and displaying it. The user is then required to mark to either
side of the lines with a cursor and to identify the lines so located.
Alternatively CLONE (see section
) may be used. A great
advantage with CLONE here is that, since the data is calibrated, for a
lot of data the tram positions will be the same. This makes CLONING in
batch very useful, since only one spectrum need be calibrated before
submitting a job to calibrate the rest and then perform Gaussian
fitting. This part is the same as for ARC2D (see
section
).
- Choose the fit type. The type of fit to be performed is entered
into the array .RES.CONTROL (see appendix
for a
description of the results structure), for the relevant line and
cross-section. This defaults to a single Gaussian with a base.
- Perform the fit. The fit type is read from .RES.CONTROL, the fit
is performed, and the results are stored in .RES.DATA.
- Output results. This can be in the form of plots or tables for a
range of variables.
The fact that LONGSLIT uses its own structure in the data file (the
.RES structure, see appendix
), means that the different
stages above can easily be carried out at separate times, without
needing to stay in the program between them.
There are two principle modes of operation for line fitting:
- AUTO mode
- In this the fits, blocking etc. are defined
beforehand, and then performed without any further reference to the
user (except for interactive multiple fits).
This can be carried out in batch, thus saving time at the terminal.
- MANUAL mode
- In this the user can choose the blocking and fit
type for each line as the fits are made, or the fit types may be
defined in manual mode, but actually performed in AUTO mode, in batch
for example.
It is also possible to combine any range of cross-sections for a fit.
Any previous fits may be displayed (this is the default), and it is
possible to scan though the data, either individual cross-sections or
with whole window's being averaged up for each plot.
If you are unfamiliar with LONGSLIT you should first read
sections
,
and
.
If you get stuck try looking at section
.
Subsections
Next: Line Identification
Up: Line Profile Analysis
Previous: Introduction
FIGARO A general data reduction system
Starlink User Note 86
Keith Shortridge, Horst Meyerdierks,
Malcolm Currie, Martin Clayton, Jon Lockley,
Anne Charles, Clive Davenhall,
Mark Taylor, Tim Ash, Tim Wilkins, Dave Axon,
John Palmer, Anthony Holloway and
Vito Graffagnino
2004 February 17
E-mail:starlink@jiscmail.ac.uk
Copyright © 2013 Science and Technology Facilities Council