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This section previously contained first thoughts how MIRA can be integrated in
an online data processing scheme for visualizing and writing calibrated data.
MIRA now has a procedure onlineDataProcessing.mira, which is called by
the NCS coordinator (via a Python script) in the following way:
mira.exe @onlineDataProcessing projId scan obsDate calScan obsDateCal
where projId is the Pico Veleta project id (e.g. 203-04), scan
the scan number to be reduced, obsDate the corresponding observing date
(format yyymmdd), calScan the scan number of the calibration scan, and
obsDateCal the observing date of the calibration scan (can be different
from obsDate). MIRA now allows to use two global SIC variables,
ncsData and visData, in order to specify where the raw data
are located, and where the plots, XML result files and CLASS spectra should be
put. The procedure onlineDataProcessing.mira sets these variables to
ncsData = /ncsServer/mrt/ncs/data
visData = /vis/203-04
The raw data are searched in $ncsData/yyyymmdd/scans/ (where yyyymmdd is
the observing date), the calibrated CLASS file (spectra.30m) for the project is
in $visData/mira, the plots are in $visData/mira/plots, and the
XML result files (for the time being only for pointing and focus) are in
$visData/results. The conventions for the names of plots and result files
are described in the document http://mrt-lx1/mainWiki/NCSFileStructure
There is also a new utility procedure, odp.mira. It essentially does
the same job as the online data processing triggered by the NCS coordinator,
but is more interactive. Use:
@ odp iRef idScan
where iRef is
the frontend-backend combination to be used for pointings and focus solutions,
and idScan is the scan to be reduced. The output CLASS file is called
spectra.30m, in order to avoid confusion with spectraOdp.30m (produced by the
coordinator). The results (XML and CLASS files) are in $HOME/miraOdp,
the plots in $HOME/miraOdp/plots. If the respective directories do not
exist, odp.mira makes them.
An interactive way to generate a CLASS file from a long list of observations is
list /reduce [reductionScript] [classFile]
which creates a macro 'reductionScript' (default: reduce.mira) whose execution
within your MIRA session (@ reduce) calibrates the data in the current index list
(previously specified with MIRA\FIND) and writes them to 'classFile'
(default: mira.30m).
Next: A typical (offline) data
Up: MIRA Manual - v.
Previous: Preface
Index
Gildas manager
2023-01-16