|
casa
$Rev:20696$
|
|
casa
$Rev:20696$
|
Public Member Functions | |
| def | __init__ |
| def | __call__ |
Private Attributes | |
| __bases__ | |
| __doc__ | |
Static Private Attributes | |
| string | __name__ |
Definition at line 18 of file partition_pg.py.
| def partition_pg.partition_pg_.__init__ | ( | self | ) |
Definition at line 21 of file partition_pg.py.
| def partition_pg.partition_pg_.__call__ | ( | self, | |
vis = None, |
|||
outputvis = None, |
|||
createmms = None, |
|||
separationaxis = None, |
|||
numsubms = None, |
|||
datacolumn = None, |
|||
calmsselection = None, |
|||
calmsname = None, |
|||
calfield = None, |
|||
calscan = None, |
|||
calintent = None, |
|||
field = None, |
|||
spw = None, |
|||
antenna = None, |
|||
timebin = None, |
|||
combine = None, |
|||
timerange = None, |
|||
scan = None, |
|||
scanintent = None, |
|||
array = None, |
|||
uvrange = None, |
|||
observation = None, |
|||
async = None |
|||
| ) |
Experimental task to produce multi-MSs using parallelism
Experimental version for use with parallelization framework.
Do not use this for standard analysis... yet.
Partition is a task to create a multi-MS out of an MS. General selection
parameters are included, and one or all of the various data columns
(DATA, LAG_DATA and/or FLOAT_DATA, and possibly MODEL_DATA and/or
CORRECTED_DATA) can be selected. It can also be used to create a normal
MS, split based on the given data selection parameters.
The partition task creates a multi-MS using the parallelization framework.
If a cluster is not present, it will create a default cluster based on the
resources of the system. One can create a simple_cluster prior to running
partition by doing the following.
from simple_cluster import *
sc = simple_cluster()
sc.init_cluster('cluster-config.txt', 'test')
The file 'cluster-config.txt' contains information on the machine that will
be used for the cluster. Please see the help of simple_cluster for more information.
A multi-MS is structured to have a reference MS on the top directory and a
sub-directory called SUBMSS, which contain each partitioned sub-MS. The
reference MS contains links to the sub-tables of the first sub-MS. The other
sub-MSs contain a copy of the sub-tables each. A multi-MS looks like this in disk.
ls ngc5921.mms
ANTENNA FLAG_CMD POLARIZATION SPECTRAL_WINDOW table.dat
DATA_DESCRIPTION HISTORY PROCESSOR STATE table.info
FEED OBSERVATION SORTED_TABLE SUBMSS WEATHER
FIELD POINTING SOURCE SYSCAL
ls ngc5921.mms/SUBMSS/
ngc5921.0000.ms/ ngc5921t.0002.ms/ ngc5921.0004.ms/ ngc5921.0006.ms/
ngc5921.0001.ms/ ngc5921.0003.ms/ ngc5921.0005.ms/
Inside casapy, one can use the task listpartition to list the information
from a multi-MS.
Keyword arguments:
vis -- Name of input visibility file
default: none; example: vis='ngc5921.ms'
outputvis -- Name of output visibility file
default: none; example: outputvis='ngc5921.mms'
createmms -- Create a multi-MS as the output.
default: True
If False, it will work like the split task and create a
normal MS, split according to the given data selection parameters.
Note that, when this parameter is set to False, a simple_cluster
will not be created.
separationaxis -- Axis to do parallelization across.
default: 'scan'
Options: 'scan', 'spw', 'both'
The 'both' option will try to partition in both scan and spw axes.
numsubms -- The number of sub-MSs to create.
default: 64
datacolumn -- Which data column to use when partitioning.
default='data'; example: datacolumn='data'
Options: 'data', 'model', 'corrected', 'all',
'float_data', 'lag_data', 'float_data,data', and
'lag_data,data'.
N.B.: 'all' = whichever of the above that are present.
Otherwise the selected column will go to DATA (or
FLOAT_DATA) in the output.
calmsselection -- Method by which the calibration scans will be identified
when creating a separate calibration MS.
default:'none'
Options: 'none', 'auto', 'manual'.
'auto' --
calmsname -- Name of output measurement set.
default = ' '
'manual'
calmsname -- Name of output measurement set.
default: ''
calfield -- Field selection for calibration MS.
default: ''
calscans -- Scan selection for calibration MS.
default: ''
calintent -- Scan intent selection for calibration MS.
default: ''
--- Data selection parameters (see help par.selectdata for more detailed
information)
field -- Select field using field id(s) or field name(s).
[run listobs to obtain the list iof d's or names]
default: ''=all fields If field string is a non-negative
integer, it is assumed to be a field index
otherwise, it is assumed to be a field name
field='0~2'; field ids 0,1,2
field='0,4,5~7'; field ids 0,4,5,6,7
field='3C286,3C295'; fields named 3C286 and 3C295
field = '3,4C*'; field id 3, all names starting with 4C
spw -- Select spectral window/channels
default: ''=all spectral windows and channels
spw='0~2,4'; spectral windows 0,1,2,4 (all channels)
spw='<2'; spectral windows less than 2 (i.e. 0,1)
spw='0:5~61'; spw 0, channels 5 to 61
spw='0,10,3:3~45'; spw 0,10 all channels, spw 3 - chans 3 to 45.
spw='0~2:2~6'; spw 0,1,2 with channels 2 through 6 in each.
spw = '*:3~64' channels 3 through 64 for all sp id's
spw = ' :3~64' will NOT work.
spw = '*:0;60~63' channel 0 and channels 60 to 63 for all IFs
';' needed to separate different channel ranges in one spw
spw='0:0~10;15~60'; spectral window 0 with channels 0-10,15-60
spw='0:0~10,1:20~30,2:1;2;4'; spw 0, channels 0-10,
spw 1, channels 20-30, and spw 2, channels, 1, 2 and 4
antenna -- Select data based on antenna/baseline
default: '' (all)
Non-negative integers are assumed to be antenna indices, and
anything else is taken as an antenna name.
Examples:
antenna='5&6': baseline between antenna index 5 and index 6.
antenna='VA05&VA06': baseline between VLA antenna 5 and 6.
antenna='5&6;7&8': baselines 5-6 and 7-8
antenna='5': all baselines with antenna 5
antenna='5,6,10': all baselines including antennas 5, 6, or 10
antenna='5,6,10&': all baselines with *only* antennas 5, 6, or
10. (cross-correlations only. Use &&
to include autocorrelations, and &&&
to get only autocorrelations.)
antenna='!ea03,ea12,ea17': all baselines except those that
include EVLA antennas ea03, ea12, or
ea17.
timebin -- Interval width for time averaging.
default: '0s' or '-1s' (no averaging)
Example: timebin='30s'
'10' means '10s'
combine -- Let time bins span changes in scan and/or state.
default = '' (separate time bins by both of the above)
combine = 'scan': Can be useful when the scan number
goes up with each integration,
as in many WSRT MSes.
combine = ['scan', 'state']: disregard scan and state
numbers when time averaging.
combine = 'state,scan': Same as above.
timerange -- Select data based on time range:
default = '' (all); examples,
timerange = 'YYYY/MM/DD/hh:mm:ss~YYYY/MM/DD/hh:mm:ss'
Note: if YYYY/MM/DD is missing date, timerange defaults to the
first day in the dataset
timerange='09:14:0~09:54:0' picks 40 min on first day
timerange='25:00:00~27:30:00' picks 1 hr to 3 hr 30min
on next day
timerange='09:44:00' data within one integration of time
timerange='>10:24:00' data after this time
array -- (Sub)array number range
default: ''=all
uvrange -- Select data within uvrange (default units meters)
default: ''=all; example:
uvrange='0~1000klambda'; uvrange from 0-1000 kilo-lambda
uvrange='>4klambda';uvranges greater than 4 kilo-lambda
uvrange='0~1000km'; uvrange in kilometers
scan -- Scan number range
default: ''=all
observation -- Select by observation ID(s)
default: ''=allDefinition at line 26 of file partition_pg.py.
References vla_uvfits_line_sf.verify.
partition_pg.partition_pg_.__bases__ [private] |
Definition at line 22 of file partition_pg.py.
partition_pg.partition_pg_.__doc__ [private] |
Definition at line 23 of file partition_pg.py.
string partition_pg.partition_pg_.__name__ [static, private] |
Definition at line 19 of file partition_pg.py.
1.8.0