1 | from scantable import scantable
|
---|
2 | from asap import rcParams
|
---|
3 | from asap import print_log
|
---|
4 |
|
---|
5 | def average_time(*args, **kwargs):
|
---|
6 | """
|
---|
7 | Return the (time) average of a scan or list of scans. [in channels only]
|
---|
8 | The cursor of the output scan is set to 0
|
---|
9 | Parameters:
|
---|
10 | one scan or comma separated scans
|
---|
11 | mask: an optional mask (only used for 'var' and 'tsys' weighting)
|
---|
12 | scanav: True averages each scan separately.
|
---|
13 | False (default) averages all scans together,
|
---|
14 | weight: Weighting scheme. 'none, 'var' (1/var(spec)
|
---|
15 | weighted), 'tsys' (1/Tsys**2 weighted), 'tint'
|
---|
16 | (integration time weighted) or 'tintsys' (Tsys
|
---|
17 | and tint). The default is 'tint'
|
---|
18 | align: align the spectra in velocity before averaging. It takes
|
---|
19 | the time of the first spectrum in the first scantable
|
---|
20 | as reference time.
|
---|
21 | Example:
|
---|
22 | # return a time averaged scan from scana and scanb
|
---|
23 | # without using a mask
|
---|
24 | scanav = average_time(scana,scanb)
|
---|
25 | # return the (time) averaged scan, i.e. the average of
|
---|
26 | # all correlator cycles
|
---|
27 | scanav = average_time(scan, scanav=True)
|
---|
28 | """
|
---|
29 | scanav = False
|
---|
30 | if kwargs.has_key('scanav'):
|
---|
31 | scanav = kwargs.get('scanav')
|
---|
32 | weight = 'tint'
|
---|
33 | if kwargs.has_key('weight'):
|
---|
34 | weight = kwargs.get('weight')
|
---|
35 | mask = ()
|
---|
36 | if kwargs.has_key('mask'):
|
---|
37 | mask = kwargs.get('mask')
|
---|
38 | align = False
|
---|
39 | if kwargs.has_key('align'):
|
---|
40 | align = kwargs.get('align')
|
---|
41 | varlist = vars()
|
---|
42 | if isinstance(args[0],list):
|
---|
43 | lst = tuple(args[0])
|
---|
44 | elif isinstance(args[0],tuple):
|
---|
45 | lst = args[0]
|
---|
46 | else:
|
---|
47 | lst = tuple(args)
|
---|
48 |
|
---|
49 | del varlist["kwargs"]
|
---|
50 | varlist["args"] = "%d scantables" % len(lst)
|
---|
51 | # need special formatting her for history...
|
---|
52 |
|
---|
53 | from asap._asap import stmath
|
---|
54 | stm = stmath()
|
---|
55 | for s in lst:
|
---|
56 | if not isinstance(s,scantable):
|
---|
57 | msg = "Please give a list of scantables"
|
---|
58 | if rcParams['verbose']:
|
---|
59 | print msg
|
---|
60 | return
|
---|
61 | else:
|
---|
62 | raise TypeError(msg)
|
---|
63 | if scanav: scanav = "SCAN"
|
---|
64 | else: scanav = "NONE"
|
---|
65 | s = scantable(stm._average(lst, mask, weight, scanav, align))
|
---|
66 | s._add_history("average_time",varlist)
|
---|
67 | print_log()
|
---|
68 | return s
|
---|
69 |
|
---|
70 | # def quotient(source, reference, preserve=True):
|
---|
71 | # """
|
---|
72 | # Return the quotient of a 'source' (signal) scan and a 'reference' scan.
|
---|
73 | # The reference can have just one row, even if the signal has many. Otherwise
|
---|
74 | # they must have the same number of rows.
|
---|
75 | # The cursor of the output scan is set to 0
|
---|
76 | # Parameters:
|
---|
77 | # source: the 'on' scan
|
---|
78 | # reference: the 'off' scan
|
---|
79 | # preserve: you can preserve (default) the continuum or
|
---|
80 | # remove it. The equations used are
|
---|
81 | # preserve: Output = Toff * (on/off) - Toff
|
---|
82 | # remove: Output = Toff * (on/off) - Ton
|
---|
83 | # """
|
---|
84 | # varlist = vars()
|
---|
85 | # from asap._asap import quotient as _quot
|
---|
86 | # s = scantable(_quot(source, reference, preserve))
|
---|
87 | # s._add_history("quotient",varlist)
|
---|
88 | # print_log()
|
---|
89 | # return s
|
---|
90 |
|
---|
91 | def simple_math(left, right, op='add', tsys=True):
|
---|
92 | """
|
---|
93 | Apply simple mathematical binary operations to two
|
---|
94 | scan tables, returning the result in a new scan table.
|
---|
95 | The operation is applied to both the correlations and the TSys data
|
---|
96 | The cursor of the output scan is set to 0
|
---|
97 | Parameters:
|
---|
98 | left: the 'left' scan
|
---|
99 | right: the 'right' scan
|
---|
100 | op: the operation: 'add' (default), 'sub', 'mul', 'div'
|
---|
101 | tsys: if True (default) then apply the operation to Tsys
|
---|
102 | as well as the data
|
---|
103 | """
|
---|
104 | varlist = vars()
|
---|
105 | print "Not yet available in asap"
|
---|
106 | return
|
---|
107 | if not isinstance(left,scantable) and not isinstance(right,scantable):
|
---|
108 | msg = "Please provide two scantables as input"
|
---|
109 | if rcParams['verbose']:
|
---|
110 | print msg
|
---|
111 | return
|
---|
112 | else:
|
---|
113 | raise TypeError(msg)
|
---|
114 | s = scantable(stm._bop(left, right, op, tsys))
|
---|
115 | s._add_history("simple_math", varlist)
|
---|
116 | print_log()
|
---|
117 | return s
|
---|
118 |
|
---|
119 | def merge(*args):
|
---|
120 | """
|
---|
121 | """
|
---|
122 | varlist = vars()
|
---|
123 | if isinstance(args[0],list):
|
---|
124 | lst = tuple(args[0])
|
---|
125 | elif isinstance(args[0],tuple):
|
---|
126 | lst = args[0]
|
---|
127 | else:
|
---|
128 | lst = tuple(args)
|
---|
129 | varlist["args"] = "%d scantables" % len(lst)
|
---|
130 | # need special formatting her for history...
|
---|
131 | from asap._asap import stmath
|
---|
132 | stm = stmath()
|
---|
133 | for s in lst:
|
---|
134 | if not isinstance(s,scantable):
|
---|
135 | msg = "Please give a list of scantables"
|
---|
136 | if rcParams['verbose']:
|
---|
137 | print msg
|
---|
138 | return
|
---|
139 | else:
|
---|
140 | raise TypeError(msg)
|
---|
141 | s = scantable(stm._merge(lst))
|
---|
142 | s._add_history("merge", varlist)
|
---|
143 | print_log()
|
---|
144 | return s
|
---|