[101] | 1 | from scantable import scantable |
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[258] | 2 | from asap import rcParams |
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[101] | 3 | |
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[143] | 4 | def average_time(*args, **kwargs): |
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[101] | 5 | """ |
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[113] | 6 | Return the (time) average of a scan or list of scans. [in channels only] |
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[305] | 7 | The cursor of the output scan is set to 0 |
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[113] | 8 | Parameters: |
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| 9 | one scan or comma separated scans |
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[143] | 10 | mask: an optional mask (only used for 'var' and 'tsys' weighting) |
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[558] | 11 | scanav: True averages each scan separately. |
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| 12 | False (default) averages all scans together, |
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[524] | 13 | weight: Weighting scheme. 'none, 'var' (1/var(spec) |
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[543] | 14 | weighted), 'tsys' (1/Tsys**2 weighted), 'tint' |
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| 15 | (integration time weighted) or 'tintsys' (Tsys |
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| 16 | and tint). The default is 'tint' |
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[113] | 17 | Example: |
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| 18 | # return a time averaged scan from scana and scanb |
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| 19 | # without using a mask |
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[129] | 20 | scanav = average_time(scana,scanb) |
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[113] | 21 | # return the (time) averaged scan, i.e. the average of |
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| 22 | # all correlator cycles |
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[558] | 23 | scanav = average_time(scan, scanav=True) |
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[101] | 24 | """ |
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[558] | 25 | scanAv = False |
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[143] | 26 | if kwargs.has_key('scanav'): |
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| 27 | scanAv = kwargs.get('scanav') |
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[524] | 28 | weight = 'tint' |
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[143] | 29 | if kwargs.has_key('weight'): |
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| 30 | weight = kwargs.get('weight') |
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| 31 | mask = () |
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| 32 | if kwargs.has_key('mask'): |
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| 33 | mask = kwargs.get('mask') |
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[489] | 34 | varlist = vars() |
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[662] | 35 | if isinstance(args[0],list): |
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| 36 | lst = tuple(args[0]) |
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| 37 | elif isinstance(args[0],tuple): |
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| 38 | lst = args[0] |
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| 39 | else: |
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| 40 | lst = tuple(args) |
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| 41 | |
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[489] | 42 | del varlist["kwargs"] |
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| 43 | varlist["args"] = "%d scantables" % len(lst) |
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| 44 | # need special formatting her for history... |
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| 45 | |
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[143] | 46 | from asap._asap import average as _av |
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[113] | 47 | for s in lst: |
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[101] | 48 | if not isinstance(s,scantable): |
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| 49 | print "Please give a list of scantables" |
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| 50 | return |
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[489] | 51 | s = scantable(_av(lst, mask, scanAv, weight)) |
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| 52 | s._add_history("average_time",varlist) |
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| 53 | return s |
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[101] | 54 | |
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[245] | 55 | def quotient(source, reference, preserve=True): |
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[101] | 56 | """ |
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[246] | 57 | Return the quotient of a 'source' (signal) scan and a 'reference' scan. |
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| 58 | The reference can have just one row, even if the signal has many. Otherwise |
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| 59 | they must have the same number of rows. |
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[305] | 60 | The cursor of the output scan is set to 0 |
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[101] | 61 | Parameters: |
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| 62 | source: the 'on' scan |
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| 63 | reference: the 'off' scan |
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[245] | 64 | preserve: you can preserve (default) the continuum or |
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| 65 | remove it. The equations used are |
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[582] | 66 | preserve: Output = Toff * (on/off) - Toff |
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| 67 | remove: Output = Toff * (on/off) - Ton |
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[101] | 68 | """ |
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[513] | 69 | varlist = vars() |
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[101] | 70 | from asap._asap import quotient as _quot |
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[513] | 71 | s = scantable(_quot(source, reference, preserve)) |
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| 72 | s._add_history("quotient",varlist) |
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| 73 | return s |
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[101] | 74 | |
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[296] | 75 | def simple_math(left, right, op='add', tsys=True): |
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[242] | 76 | """ |
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| 77 | Apply simple mathematical binary operations to two |
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| 78 | scan tables, returning the result in a new scan table. |
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| 79 | The operation is applied to both the correlations and the TSys data |
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[305] | 80 | The cursor of the output scan is set to 0 |
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[242] | 81 | Parameters: |
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| 82 | left: the 'left' scan |
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| 83 | right: the 'right' scan |
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| 84 | op: the operation: 'add' (default), 'sub', 'mul', 'div' |
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[296] | 85 | tsys: if True (default) then apply the operation to Tsys |
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| 86 | as well as the data |
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[242] | 87 | """ |
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[489] | 88 | varlist = vars() |
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[258] | 89 | if not isinstance(left,scantable) and not isinstance(right,scantable): |
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| 90 | print "Please provide two scantables as input" |
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| 91 | return |
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[242] | 92 | from asap._asap import b_operate as _bop |
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[489] | 93 | s = scantable(_bop(left, right, op, tsys)) |
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| 94 | s._add_history("simple_math", varlist) |
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| 95 | return s |
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