1.4.1.0 measures.touvw

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measures.touvw - Function

1.4.1 calculate a uvw measure from a baseline

Description

touvw calculates a uvw measure from a baseline. Note that the baseline does not have to be a proper baseline, but can be a series of positions (to call positions baselines see asbaseline ) for speed reasons: operations are linear and can be done on positions, which are converted to baseline values at the end (with expand ).

Whatever the reference code of the baseline, the returned uvw will be given in J2000. If the dot argument is given, that variable will be filled with a quantity array consisting of the time derivative of the uvw (note that only the sidereal rate is taken into account; not precession, earth tides and similar variations, which are much smaller). If the xyz variable is given, it will be filled with the quantity values of the uvw measure.

The values of the input baselines can be given as a quantity vector per x, y or z value.

uvw coordinates are calculated for a certain direction in the sky; hence the frame has to contain the direction for the calculation to work. Since the baseline and the sky rotate with respect of each other, the time should be specified as well.

Arguments


Outputs
dot	uvw-dot (quantity array)
	allowed:	record
	Default:
xyz	uvw (quantity array)
	allowed:	record
	Default:
Inputs
v	baseline measure
	allowed:	record
	Default:

Returns
record

Example

print "\t----\t touvw Ex 1 \t----"
print me.doframe(me.observatory(’atca’))
#True
print me.doframe(me.source(’1934-638’))
#True
print me.doframe(me.epoch(’utc’,qa.unit(’today’)))
#True
b=me.baseline(’itrf’,’10m’,’20m’,’30m’)
print me.touvw(b)
#{’dot’: {’unit’: ’m/s’,
#         ’value’: [-0.0011912452908351659,
#                   -0.00098731747136827593,
#                   -0.00048769097314181744]},
# ’return’: {’m0’: {’value’: -0.094777304811312649, ’unit’: ’rad’},
#            ’m1’: {’value’: -1.1509286139398101, ’unit’: ’rad’},
#            ’m2’: {’value’: 37.416573867739416, ’unit’: ’m’},
#            ’refer’: ’J2000’,
#            ’type’: ’uvw’},
# ’xyz’: {’unit’: ’m’,
#         ’value’: [15.184026188402472,
#                   -1.4434256399579168,
#                   -34.166677788919138]}}
print me.getvalue(me.touvw(b))
#{’m0’: {’value’: -0.094777304811312649, ’unit’: ’rad’},
# ’m1’: {’value’: -1.1509286139398101, ’unit’: ’rad’},
# ’m2’: {’value’: 37.416573867739416, ’unit’: ’m’}}
print me.getvalue(me.touvw(b))[’m0’]
#{’value’: -0.094777304811312649, ’unit’: ’rad’}

###Or when you are dealing with multiple antennas
####set the frame..i,e where, direction and when.
me.doframe(me.observatory(’VLA’))
me.doframe(me.direction(’J2000’, ’19h20m00’, ’20d10m00’))
me.doframe(me.epoch(’utc’, ’2007/07/08/20:30:00’))
####antenna positions
ants=me.position(’itrf’,qa.quantity([3828763.11,3828746.55, 3828727.43],’m’), qa.quantity([442449.106,442592.14, 442580.12],’m’), qa.quantity([5064923.01, 5064923.01, 5064923.51],’m’))
###convert to baseline measures
bl=me.asbaseline(ants)
###convert to uvw
me.touvw(bl)

#{’dot’: {’unit’: ’m/s’,
#         ’value’: array([ 181.25190155,  -73.29924893,  199.57974846,  181.25985238,
#        -73.29691498,  199.57339353,  181.2583565 ,  -73.29668498,
#        199.57276731])},
# ’return’: {’m0’: {’unit’: ’rad’,
#                   ’value’: array([ 2.21611194,  2.21610131,  2.21609887])},
#            ’m1’: {’unit’: ’rad’,
#                   ’value’: array([ 0.6984441 ,  0.69846521,  0.69846285])},
#            ’m2’: {’unit’: ’m’,
#                   ’value’: array([ 6364639.28758924,  6364639.27051283,  6364627.33064587])},
#            ’refer’: ’J2000’,
#            ’type’: ’uvw’},
# ’xyz’: {’unit’: ’m’,
#         ’value’: array([-2931661.69632123,  3894141.52172208,  4092634.20894752,
#       -2931568.34776551,  3894103.64373003,  4092737.08879791,
#       -2931559.14911939,  3894111.22249941,  4092717.89890567])}}

####print the (n-1)n/2 baselines(u,v,w)
me.expand(me.touvw(bl)[’return’])[’xyz’]
#{’unit’: ’m’,
# ’value’: array([  93.34855573,  -37.87799205,  102.8798504 ,  102.54720184,
#        -30.29922267,   83.68995815,    9.19864612,    7.57876938,
#        -19.18989224])}

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