source: trunk/python/asaplinefind.py @ 514

Last change on this file since 514 was 514, checked in by mar637, 19 years ago

moved auto_poly... to scantable

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date Id Revision
File size: 4.4 KB
Line 
1import _asap
2
3class linefinder:
4    """
5    The class for automated spectral line search in ASAP.
6
7    Example:
8       fl=linefinder()
9       fl.set_scan(sc,edge=(50,))
10       fl.set_options(threshold=3)
11       nlines=fl.find_lines()
12       if nlines!=0:
13          print "Found ",nlines," spectral lines"
14          print fl.get_ranges(False)
15       else:
16          print "No lines found!"
17       sc2=poly_baseline(sc,fl.get_mask(),7)
18   
19    The algorithm involves a simple threshold criterion. The line is
20    considered to be detected if a specified number of consequtive
21    channels (default is 3) is brighter (with respect to the current baseline
22    estimate) than the threshold times the noise level. This criterion is
23    applied in the iterative procedure updating baseline estimate and trying
24    reduced spectral resolutions to detect broad lines as well. The off-line
25    noise level is determined at each iteration as an average of 80% of the
26    lowest variances across the spectrum (i.e. histogram equalization is
27    used to avoid missing weak lines if strong ones are present). For
28    bad baseline shapes it is reccommended to increase the threshold and
29    possibly switch the averaging option off (see set_options) to
30    detect strong lines only, fit a high order baseline and repeat the line
31    search.
32
33    """
34
35    def __init__(self):
36        """
37        Create a line finder object.
38        """
39        self.finder = _asap.linefinder()
40        return
41
42    def set_options(self,threshold=1.7320508075688772,min_nchan=3,
43        avg_limit=8,box_size=0.2):
44        """
45        Set the parameters of the algorithm
46        Parameters:
47             threshold    a single channel S/N ratio above which the
48                          channel is considered to be a detection
49                          Default is sqrt(3), which together with
50                          min_nchan=3 gives a 3-sigma criterion
51             min_nchan    a minimal number of consequtive channels,
52                          which should satisfy a threshold criterion to
53                          be a detection. Default is 3.
54             avg_limit    A number of consequtive channels not greater than
55                          this parameter can be averaged to search for
56                          broad lines. Default is 8.
57             box_size     A running mean box size specified as a fraction
58                          of the total spectrum length. Default is 1/5
59        Note:  For bad baselines threshold should be increased,
60               and avg_limit decreased (or even switched off completely by
61               setting this parameter to 1) to avoid detecting baseline
62               undulations instead of real lines. 
63        """
64        self.finder.setoptions(threshold,min_nchan,avg_limit,box_size)
65        return
66             
67    def set_scan(self,scan,mask=None,edge=(0,0)):
68        """
69        Set the 'data' (scantable) to work with.
70        Parameters:
71             scan:    a scantable
72             mask:       an optional mask retreived from scantable
73             edge:       an optional number of channel to drop at
74                         the edge of spectrum. If only one value is
75                         specified, the same number will be dropped from
76                         both sides of the spectrum. Default is to keep
77                         all channels
78        """
79        if not scan:
80           raise RuntimeError, 'Please give a correct scan'
81        if len(edge)>2:
82           raise RuntimeError, "The edge parameter should have two \
83           or less elements"
84        if mask is None:
85            from numarray import ones
86            self.finder.setscan(scan,ones(scan.nchan()),edge)
87        else:   
88            self.finder.setscan(scan,mask,edge)
89        return
90    def find_lines(self,nRow=0):
91        """
92        Search for spectral lines in the scan assigned in set_scan.
93        Current Beam/IF/Pol is used, Row is specified by parameter
94        A number of lines found will be returned
95        """
96        return self.finder.findlines(nRow)
97    def get_mask(self,invert=False):
98        """
99        Get the mask to mask out all lines that have been found (default)
100
101        Parameters:
102              invert  if True, only channels belong to lines will be unmasked
103
104        Note: all channels originally masked by the input mask or
105              dropped out by the edge parameter will still be excluded
106              regardless on the invert option
107        """
108        return self.finder.getmask(invert)
109    def get_ranges(self,defunits=True):
110        """
111        Get ranges (start and end channels or velocities) for all spectral
112        lines found.
113
114        Parameters:
115              defunits  if True (default), the range will use the same units
116                        as set for the scan (e.g. LSR velocity)
117                        if False, the range will be expressed in channels
118        """
119        if (defunits):
120            return self.finder.getlineranges()
121        else:
122            return self.finder.getlinerangesinchannels()
123
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