[101] | 1 | from scantable import scantable |
---|
[258] | 2 | from asap import rcParams |
---|
[720] | 3 | from asap import print_log |
---|
[101] | 4 | |
---|
[143] | 5 | def average_time(*args, **kwargs): |
---|
[101] | 6 | """ |
---|
[113] | 7 | Return the (time) average of a scan or list of scans. [in channels only] |
---|
[305] | 8 | The cursor of the output scan is set to 0 |
---|
[113] | 9 | Parameters: |
---|
| 10 | one scan or comma separated scans |
---|
[143] | 11 | mask: an optional mask (only used for 'var' and 'tsys' weighting) |
---|
[558] | 12 | scanav: True averages each scan separately. |
---|
| 13 | False (default) averages all scans together, |
---|
[720] | 14 | weight: Weighting scheme. 'none, 'var' (1/var(spec) |
---|
[543] | 15 | weighted), 'tsys' (1/Tsys**2 weighted), 'tint' |
---|
[720] | 16 | (integration time weighted) or 'tintsys' (Tsys |
---|
[543] | 17 | and tint). The default is 'tint' |
---|
[113] | 18 | Example: |
---|
| 19 | # return a time averaged scan from scana and scanb |
---|
| 20 | # without using a mask |
---|
[129] | 21 | scanav = average_time(scana,scanb) |
---|
[113] | 22 | # return the (time) averaged scan, i.e. the average of |
---|
| 23 | # all correlator cycles |
---|
[558] | 24 | scanav = average_time(scan, scanav=True) |
---|
[101] | 25 | """ |
---|
[558] | 26 | scanAv = False |
---|
[143] | 27 | if kwargs.has_key('scanav'): |
---|
| 28 | scanAv = kwargs.get('scanav') |
---|
[524] | 29 | weight = 'tint' |
---|
[143] | 30 | if kwargs.has_key('weight'): |
---|
| 31 | weight = kwargs.get('weight') |
---|
| 32 | mask = () |
---|
| 33 | if kwargs.has_key('mask'): |
---|
| 34 | mask = kwargs.get('mask') |
---|
[489] | 35 | varlist = vars() |
---|
[665] | 36 | if isinstance(args[0],list): |
---|
| 37 | lst = tuple(args[0]) |
---|
| 38 | elif isinstance(args[0],tuple): |
---|
| 39 | lst = args[0] |
---|
| 40 | else: |
---|
| 41 | lst = tuple(args) |
---|
[720] | 42 | |
---|
[489] | 43 | del varlist["kwargs"] |
---|
| 44 | varlist["args"] = "%d scantables" % len(lst) |
---|
| 45 | # need special formatting her for history... |
---|
[720] | 46 | |
---|
[876] | 47 | from asap._asap import stmath |
---|
| 48 | stm = stmath() |
---|
[113] | 49 | for s in lst: |
---|
[101] | 50 | if not isinstance(s,scantable): |
---|
[720] | 51 | msg = "Please give a list of scantables" |
---|
| 52 | if rcParams['verbose']: |
---|
| 53 | print msg |
---|
| 54 | return |
---|
| 55 | else: |
---|
| 56 | raise TypeError(msg) |
---|
[876] | 57 | if scanAv: scanAv = "SCAN" |
---|
| 58 | else: scanAv = "NONE" |
---|
| 59 | s = scantable(stm._average(lst, mask, weight, scanAv, False)) |
---|
[489] | 60 | s._add_history("average_time",varlist) |
---|
[720] | 61 | print_log() |
---|
[489] | 62 | return s |
---|
[101] | 63 | |
---|
[876] | 64 | # def quotient(source, reference, preserve=True): |
---|
| 65 | # """ |
---|
| 66 | # Return the quotient of a 'source' (signal) scan and a 'reference' scan. |
---|
| 67 | # The reference can have just one row, even if the signal has many. Otherwise |
---|
| 68 | # they must have the same number of rows. |
---|
| 69 | # The cursor of the output scan is set to 0 |
---|
| 70 | # Parameters: |
---|
| 71 | # source: the 'on' scan |
---|
| 72 | # reference: the 'off' scan |
---|
| 73 | # preserve: you can preserve (default) the continuum or |
---|
| 74 | # remove it. The equations used are |
---|
| 75 | # preserve: Output = Toff * (on/off) - Toff |
---|
| 76 | # remove: Output = Toff * (on/off) - Ton |
---|
| 77 | # """ |
---|
| 78 | # varlist = vars() |
---|
| 79 | # from asap._asap import quotient as _quot |
---|
| 80 | # s = scantable(_quot(source, reference, preserve)) |
---|
| 81 | # s._add_history("quotient",varlist) |
---|
| 82 | # print_log() |
---|
| 83 | # return s |
---|
[101] | 84 | |
---|
[296] | 85 | def simple_math(left, right, op='add', tsys=True): |
---|
[242] | 86 | """ |
---|
[720] | 87 | Apply simple mathematical binary operations to two |
---|
[242] | 88 | scan tables, returning the result in a new scan table. |
---|
| 89 | The operation is applied to both the correlations and the TSys data |
---|
[305] | 90 | The cursor of the output scan is set to 0 |
---|
[242] | 91 | Parameters: |
---|
| 92 | left: the 'left' scan |
---|
| 93 | right: the 'right' scan |
---|
| 94 | op: the operation: 'add' (default), 'sub', 'mul', 'div' |
---|
[296] | 95 | tsys: if True (default) then apply the operation to Tsys |
---|
| 96 | as well as the data |
---|
[242] | 97 | """ |
---|
[489] | 98 | varlist = vars() |
---|
[876] | 99 | print "Not yet available in asap" |
---|
| 100 | return |
---|
[258] | 101 | if not isinstance(left,scantable) and not isinstance(right,scantable): |
---|
[720] | 102 | msg = "Please provide two scantables as input" |
---|
| 103 | if rcParams['verbose']: |
---|
| 104 | print msg |
---|
| 105 | return |
---|
| 106 | else: |
---|
| 107 | raise TypeError(msg) |
---|
[242] | 108 | from asap._asap import b_operate as _bop |
---|
[489] | 109 | s = scantable(_bop(left, right, op, tsys)) |
---|
| 110 | s._add_history("simple_math", varlist) |
---|
[720] | 111 | print_log() |
---|
[489] | 112 | return s |
---|