source: trunk/verification/stdLog2.txt @ 752

New run of the Duchamp source finder v.1.1.9: Thu Nov 11 15:50:49 2010
Executing statement : ./Duchamp -p verification/input2 

---- Parameters ----
Image to be analysed.........................[imageFile]  =  verification/verificationCube.fits
Intermediate Logfile...........................[logFile]  =  verification/log2.txt
Final Results file.............................[outFile]  =  verification/results2.txt
Spectrum file..............................[spectraFile]  =  verification/spectra2.ps
Display a map in a pgplot xwindow?.........[flagXOutput]  =  true
Saving mask cube?.......................[flagOutputMask]  =  false
Saving 0th moment to FITS file?.........[flagOutputMask]  =  false
------
Type of searching performed.................[searchType]  =  spatial
Trimming Blank Pixels?........................[flagTrim]  =  false
Searching for Negative features?..........[flagNegative]  =  false
Removing Milky Way channels?....................[flagMW]  =  false
Area of Beam (pixels)...................................  =  14.6848
Removing baselines before search?.........[flagBaseline]  =  false
Smoothing data prior to searching?..........[flagSmooth]  =  false
Using A Trous reconstruction?...............[flagATrous]  =  false
Using Robust statistics?...............[flagRobustStats]  =  true
Using FDR analysis?............................[flagFDR]  =  true
Alpha value for FDR analysis..................[alphaFDR]  =  0.05
Number of correlated channels for FDR....[FDRnumCorChan]  =  2
Minimum # Pixels in a detection.................[minPix]  =  2
Minimum # Channels in a detection..........[minChannels]  =  2
Minimum # Voxels in a detection..............[minVoxels]  =  4
Growing objects after detection?............[flagGrowth]  =  false
Using Adjacent-pixel criterion?...........[flagAdjacent]  =  true
Max. velocity separation for merging....[threshVelocity]  =  7
Reject objects before merging?...[flagRejectBeforeMerge]  =  false
Merge objects in two stages?.......[flagTwoStageMerging]  =  true
Method of spectral plotting.............[spectralMethod]  =  peak
Type of object centre used in results......[pixelCentre]  =  centroid
--------------------

----------------------------------------------------------------------------------------------
 Obj#     X     Y     Z     F_tot    F_peak S/Nmax  X1  X2  Y1  Y2  Z1  Z2  Npix   Nch Sp_size
                        [Jy/beam] [Jy/beam]                                [pix]              
----------------------------------------------------------------------------------------------
    1  86.0  45.0   1.0     4.488     4.488   4.43  86  86  45  45   1   1     1     1       1
    2  78.0  49.0   1.0     4.314     4.314   4.26  78  78  49  49   1   1     1     1       1
    3  73.0  61.0   1.0     4.300     4.300   4.25  73  73  61  61   1   1     1     1       1
    4  27.0  43.0   8.0     5.471     5.471   5.41  27  27  43  43   8   8     1     1       1
    5  88.0  27.0  12.0     4.495     4.495   4.44  88  88  27  27  12  12     1     1       1
    6  63.0  78.0  13.0     4.664     4.664   4.61  63  63  78  78  13  13     1     1       1
    7  69.0  53.0  21.0     4.410     4.410   4.35  69  69  53  53  21  21     1     1       1
    8  28.0  19.0  22.0     4.281     4.281   4.23  28  28  19  19  22  22     1     1       1
    9  24.9  25.2  20.0   476.238    11.232  11.11  20  30  21  30  16  24    72     1      70
   10  78.0  23.0  24.0     4.882     4.882   4.82  78  78  23  23  24  24     1     1       1
   11  25.1  24.8  19.4   650.666    10.011   9.90  20  31  20  29  15  24   111     2      64
   12  25.0  25.2  21.0   492.030    11.489  11.37  20  29  20  30  14  25    77     1      66
   13  25.3  25.0  18.1   380.586     9.708   9.60  21  29  20  29  15  25    64     2      62
   14  25.0  25.2  20.2   669.960     8.977   8.88  19  30  21  30  14  26   113     2      71
   15  25.0  25.0  23.0   238.902     7.725   7.64  20  28  21  29  19  26    43     1      42
   16  11.0  46.0  26.0     4.766     4.766   4.71  11  11  46  46  26  26     1     1       1
   17  34.0   6.0  36.0     4.215     4.215   4.16  34  34   6   6  36  36     1     1       1
   18  42.0  99.0  39.0     4.139     4.139   4.09  42  42  99  99  39  39     1     1       1
   19  72.0  20.0  42.0     4.684     4.684   4.63  72  72  20  20  42  42     1     1       1
   20  75.1  24.9  41.4   704.700    11.766  11.64  70  80  20  29  36  46   114     2      67
   21  75.0  25.2  41.0   471.666     9.557   9.45  70  80  20  29  37  46    80     2      61
   22  57.0   4.0  47.0     4.850     4.850   4.79  57  57   4   4  47  47     1     1       1
   23  75.1  24.9  42.4   801.936    10.048   9.94  70  80  20  30  38  47   128     1      72
   24  75.0  25.1  41.3   583.319    10.343  10.23  70  79  21  31  36  47    92     3      68
   25  75.5  25.2  44.8   254.029     7.948   7.86  72  81  21  29  38  47    48     1      46
   26  45.0  78.0  47.0     4.136     4.136   4.08  45  45  78  78  47  47     1     1       1
   27  68.0  24.0  48.0     4.692     4.692   4.63  68  68  24  24  48  48     1     1       1
   28  33.0  72.0  59.0     4.170     4.170   4.12  33  33  72  72  59  59     1     1       1
   29  18.0  68.0  60.0     5.026     5.026   4.97  18  18  68  68  60  60     1     1       1
   30  12.0  76.0  63.0     4.551     4.551   4.49  12  12  76  76  63  63     1     1       1
   31  56.0  52.0  64.0     4.213     4.213   4.16  56  56  52  52  64  64     1     1       1
   32  50.0  49.9  64.2   952.614    10.731  10.62  45  55  44  54  59  68   155     2      77
   33  49.8  49.9  64.0   652.483    10.926  10.81  45  54  45  54  58  69   110     2      64
   34  49.9  50.0  64.0   503.166    10.461  10.35  45  54  44  55  61  70    77     1      76
   35  49.8  50.1  63.8   837.063    10.364  10.25  45  55  46  55  59  70   140     2      67
   36  76.0  62.0  82.0     4.351     4.351   4.30  76  76  62  62  82  82     1     1       1
   37  74.0   6.0  85.0     4.343     4.343   4.29  74  74   6   6  85  85     1     1       1
   38  24.0  81.0  85.0     5.275     5.275   5.21  24  24  81  81  85  85     1     1       1
   39  20.0  81.0  89.0     4.956     4.956   4.90  20  20  81  81  89  89     1     1       1
   40  24.9  74.9  88.0   360.998    10.154  10.05  20  30  70  79  83  90    61     1      61
   41  76.0  69.0  91.0     4.288     4.288   4.23  76  76  69  69  91  91     1     1       1
   42  25.3  74.8  84.7   571.329    10.403  10.29  21  30  69  80  81  91    94     2      72
   43  25.2  74.8  86.1   486.372    10.445  10.33  20  30  70  80  82  91    74     1      71
   44  24.9  75.3  86.0   461.109     8.050   7.96  20  30  71  79  81  91    83     1      49
   45  25.0  75.2  86.2   941.580    10.183  10.07  20  30  70  79  81  93   153     1      75
   46  58.0  87.0  95.0     4.395     4.395   4.34  58  58  87  87  95  95     1     1       1
   47  71.0  49.0  96.0     4.331     4.331   4.28  71  71  49  49  96  96     1     1       1
   48   6.0  15.0 100.0     4.186     4.186   4.13   6   6  15  15 100 100     1     1       1
   49  74.8  75.3 108.9   451.495    10.743  10.63  70  79  71  80 105 113    71     1      69
   50  74.9  74.7 108.1   633.579     9.164   9.07  70  80  70  79 103 113   107     1      66
   51  74.9  75.0 105.8   487.450     9.280   9.18  70  80  71  80 103 113    84     2      60
   52  74.9  74.9 108.5   690.757    11.304  11.19  70  80  70  80 105 113   112     1      70
   53  75.0  74.7 108.9   644.723    10.913  10.80  70  80  69  80 105 114   105     2      76
   54  33.0  59.0 125.0     4.157     4.157   4.10  33  33  59  59 125 125     1     1       1
=-=-=-=-=-=-=-
Cube summary
=-=-=-=-=-=-=-
100x100x128
Threshold       middle  spread  robust
4.12445 0.0148021 1.00927       1
5 detections:
--------------
Detection #1
27-27, 24, 14
26-26, 29, 14
25-25, 24, 15
27-27, 24, 15
24-25, 25, 15
27-27, 25, 15
29-29, 25, 15
27-27, 26, 15
24-24, 21, 16
23-23, 22, 16
26-26, 22, 16
23-27, 23, 16
22-22, 24, 16
24-24, 24, 16
28-30, 24, 16
25-25, 25, 16
27-27, 25, 16
23-27, 26, 16
29-29, 26, 16
24-24, 27, 16
26-28, 28, 16
24-24, 29, 16
26-26, 29, 16
26-26, 21, 17
24-24, 22, 17
26-27, 22, 17
22-22, 23, 17
24-27, 23, 17
22-28, 24, 17
22-28, 25, 17
22-27, 26, 17
22-22, 27, 17
24-28, 27, 17
24-25, 28, 17
27-27, 28, 17
25-25, 20, 18
22-22, 21, 18
24-25, 21, 18
23-28, 22, 18
22-29, 23, 18
21-28, 24, 18
22-29, 25, 18
22-28, 26, 18
22-29, 27, 18
22-23, 28, 18
25-29, 28, 18
23-23, 29, 18
25-27, 29, 18
25-26, 20, 19
21-21, 21, 19
23-26, 21, 19
22-29, 22, 19
23-28, 23, 19
22-29, 24, 19
20-29, 25, 19
21-28, 26, 19
23-27, 27, 19
20-20, 28, 19
23-28, 28, 19
22-23, 29, 19
25-26, 29, 19
24-25, 21, 20
21-29, 22, 20
21-28, 23, 20
20-30, 24, 20
21-28, 25, 20
22-27, 26, 20
29-30, 26, 20
21-29, 27, 20
22-28, 28, 20
21-21, 29, 20
23-27, 29, 20
23-23, 30, 20
25-25, 30, 20
25-25, 20, 21
24-24, 21, 21
26-27, 21, 21
22-29, 22, 21
20-20, 23, 21
22-29, 23, 21
21-29, 24, 21
31-31, 24, 21
21-28, 25, 21
20-27, 26, 21
29-29, 26, 21
21-26, 27, 21
28-28, 27, 21
22-28, 28, 21
24-27, 29, 21
26-26, 30, 21
22-22, 21, 22
24-25, 21, 22
27-27, 21, 22
29-29, 21, 22
22-22, 22, 22
24-27, 22, 22
22-29, 23, 22
19-20, 24, 22
22-29, 24, 22
21-30, 25, 22
21-30, 26, 22
21-28, 27, 22
21-21, 28, 22
23-28, 28, 22
21-21, 29, 22
23-27, 29, 22
23-23, 30, 22
25-25, 30, 22
24-25, 21, 23
25-27, 22, 23
23-27, 23, 23
22-28, 24, 23
22-22, 25, 23
24-28, 25, 23
21-21, 26, 23
23-28, 26, 23
21-21, 27, 23
23-27, 27, 23
24-25, 28, 23
27-28, 28, 23
24-24, 29, 23
24-24, 22, 24
26-27, 23, 24
24-25, 24, 24
27-27, 24, 24
22-28, 25, 24
24-26, 26, 24
23-27, 27, 24
23-25, 28, 24
27-27, 28, 24
25-25, 24, 25
26-27, 25, 25
25-25, 26, 25
24-24, 27, 25
26-26, 27, 25
26-26, 29, 25
27-27, 24, 26
27-27, 26, 26

Detection #2
74-74, 23, 36
76-76, 25, 36
77-77, 26, 36
73-73, 23, 37
75-76, 24, 37
73-73, 25, 37
76-76, 25, 37
74-74, 26, 37
74-74, 27, 37
74-76, 23, 38
70-70, 24, 38
73-74, 24, 38
76-77, 24, 38
72-72, 25, 38
74-76, 25, 38
73-77, 26, 38
80-80, 26, 38
73-73, 27, 38
76-76, 27, 38
78-78, 27, 38
73-73, 28, 38
76-77, 21, 39
73-75, 22, 39
73-76, 23, 39
79-79, 23, 39
71-79, 24, 39
72-79, 25, 39
73-77, 26, 39
79-79, 26, 39
73-77, 27, 39
72-72, 28, 39
75-78, 28, 39
77-77, 29, 39
75-76, 20, 40
76-77, 21, 40
72-72, 22, 40
74-76, 22, 40
71-79, 23, 40
72-78, 24, 40
71-79, 25, 40
72-79, 26, 40
81-81, 26, 40
72-79, 27, 40
72-78, 28, 40
73-73, 29, 40
76-76, 29, 40
76-76, 20, 41
74-75, 21, 41
77-77, 21, 41
72-77, 22, 41
79-79, 22, 41
72-78, 23, 41
72-79, 24, 41
71-79, 25, 41
71-79, 26, 41
70-70, 27, 41
73-78, 27, 41
72-77, 28, 41
80-80, 28, 41
72-74, 29, 41
76-77, 29, 41
73-73, 30, 41
72-72, 20, 42
74-75, 21, 42
77-77, 21, 42
71-71, 22, 42
73-77, 22, 42
79-79, 22, 42
71-79, 23, 42
70-79, 24, 42
81-81, 24, 42
71-79, 25, 42
81-81, 25, 42
71-79, 26, 42
71-78, 27, 42
73-79, 28, 42
73-76, 29, 42
76-76, 30, 42
76-76, 31, 42
75-75, 20, 43
75-77, 21, 43
72-77, 22, 43
79-79, 22, 43
72-79, 23, 43
71-80, 24, 43
70-79, 25, 43
70-78, 26, 43
71-77, 27, 43
73-78, 28, 43
73-73, 29, 43
75-76, 29, 43
76-76, 20, 44
73-75, 21, 44
72-79, 22, 44
70-70, 23, 44
72-79, 23, 44
72-79, 24, 44
72-80, 25, 44
72-80, 26, 44
71-77, 27, 44
72-77, 28, 44
74-77, 29, 44
75-75, 21, 45
77-77, 21, 45
74-75, 22, 45
74-76, 23, 45
78-79, 23, 45
72-78, 24, 45
72-79, 25, 45
72-72, 26, 45
74-78, 26, 45
72-77, 27, 45
72-74, 28, 45
76-77, 28, 45
77-77, 29, 45
74-74, 22, 46
76-76, 23, 46
75-75, 24, 46
72-77, 25, 46
73-76, 26, 46
73-73, 27, 46
75-75, 27, 46
74-75, 28, 46
74-74, 29, 46
73-73, 24, 47
75-75, 25, 47
77-77, 25, 47
73-74, 26, 47

Detection #3
52-52, 50, 58
50-50, 48, 59
48-49, 49, 59
52-52, 50, 59
53-53, 53, 59
49-49, 47, 60
47-48, 48, 60
50-51, 48, 60
47-47, 49, 60
49-52, 49, 60
45-45, 50, 60
47-50, 50, 60
46-47, 51, 60
50-52, 51, 60
48-48, 52, 60
50-50, 52, 60
53-54, 52, 60
50-50, 53, 60
48-49, 46, 61
52-52, 46, 61
50-51, 47, 61
47-47, 48, 61
49-53, 48, 61
46-46, 49, 61
48-53, 49, 61
47-53, 50, 61
47-54, 51, 61
45-47, 52, 61
49-53, 52, 61
48-52, 53, 61
48-48, 54, 61
51-51, 55, 61
49-49, 45, 62
49-52, 46, 62
54-55, 46, 62
47-47, 47, 62
49-53, 47, 62
46-46, 48, 62
48-53, 48, 62
46-53, 49, 62
46-53, 50, 62
55-55, 50, 62
47-52, 51, 62
54-54, 51, 62
46-54, 52, 62
48-48, 53, 62
50-52, 53, 62
48-49, 54, 62
51-52, 54, 62
50-50, 44, 63
49-50, 46, 63
52-52, 46, 63
48-53, 47, 63
45-45, 48, 63
47-55, 48, 63
47-54, 49, 63
45-54, 50, 63
46-53, 51, 63
45-45, 52, 63
47-53, 52, 63
47-53, 53, 63
47-52, 54, 63
49-49, 55, 63
50-50, 45, 64
47-51, 46, 64
53-53, 46, 64
47-53, 47, 64
46-53, 48, 64
46-54, 49, 64
46-54, 50, 64
45-54, 51, 64
45-45, 52, 64
47-54, 52, 64
46-47, 53, 64
49-53, 53, 64
47-50, 54, 64
52-53, 54, 64
49-50, 55, 64
48-48, 45, 65
47-51, 46, 65
47-53, 47, 65
46-53, 48, 65
45-53, 49, 65
55-55, 49, 65
47-53, 50, 65
55-55, 50, 65
46-54, 51, 65
46-54, 52, 65
46-54, 53, 65
49-50, 54, 65
47-48, 45, 66
48-48, 46, 66
50-50, 46, 66
47-53, 47, 66
46-53, 48, 66
46-53, 49, 66
47-53, 50, 66
47-54, 51, 66
47-51, 52, 66
53-53, 52, 66
47-50, 53, 66
52-52, 53, 66
49-50, 54, 66
52-52, 54, 66
50-50, 44, 67
49-50, 46, 67
48-50, 47, 67
47-52, 48, 67
48-54, 49, 67
47-53, 50, 67
47-53, 51, 67
47-52, 52, 67
54-54, 52, 67
47-47, 53, 67
49-51, 53, 67
49-50, 54, 67
49-49, 47, 68
49-49, 48, 68
52-52, 48, 68
48-51, 49, 68
53-53, 49, 68
48-52, 50, 68
47-47, 51, 68
49-51, 51, 68
53-53, 51, 68
50-52, 52, 68
49-49, 53, 68
51-52, 53, 68
51-52, 49, 69
49-50, 50, 69
49-49, 49, 70
50-50, 51, 70

Detection #4
24-24, 75, 81
22-22, 76, 81
28-28, 76, 81
25-25, 72, 82
22-22, 73, 82
25-25, 73, 82
23-27, 74, 82
24-24, 75, 82
26-27, 75, 82
24-27, 76, 82
23-23, 77, 82
26-26, 77, 82
25-25, 79, 82
22-22, 70, 83
24-24, 71, 83
26-26, 71, 83
25-26, 72, 83
23-25, 73, 83
27-27, 73, 83
23-27, 74, 83
22-27, 75, 83
21-30, 76, 83
22-27, 77, 83
30-30, 77, 83
23-26, 78, 83
24-25, 71, 84
23-27, 72, 84
23-29, 73, 84
21-28, 74, 84
22-29, 75, 84
20-20, 76, 84
22-28, 76, 84
30-30, 76, 84
21-28, 77, 84
21-24, 78, 84
26-28, 78, 84
21-21, 79, 84
23-26, 79, 84
25-25, 70, 85
23-27, 71, 85
29-29, 71, 85
22-28, 72, 85
21-30, 73, 85
21-29, 74, 85
21-29, 75, 85
22-29, 76, 85
20-20, 77, 85
22-29, 77, 85
22-29, 78, 85
24-25, 79, 85
27-28, 79, 85
26-26, 80, 85
24-24, 81, 85
24-24, 70, 86
27-27, 70, 86
23-28, 71, 86
20-27, 72, 86
21-21, 73, 86
23-27, 73, 86
29-29, 73, 86
21-29, 74, 86
21-30, 75, 86
22-30, 76, 86
22-29, 77, 86
23-28, 78, 86
23-23, 79, 86
25-27, 79, 86
25-25, 80, 86
25-25, 70, 87
24-24, 71, 87
26-27, 71, 87
23-28, 72, 87
21-29, 73, 87
20-29, 74, 87
21-29, 75, 87
20-30, 76, 87
22-29, 77, 87
22-26, 78, 87
28-28, 78, 87
22-22, 79, 87
24-28, 79, 87
22-23, 71, 88
25-25, 71, 88
21-21, 72, 88
23-27, 72, 88
20-29, 73, 88
23-29, 74, 88
21-30, 75, 88
22-26, 76, 88
28-29, 76, 88
21-28, 77, 88
23-27, 78, 88
23-23, 79, 88
25-26, 79, 88
24-24, 69, 89
24-24, 72, 89
26-26, 72, 89
29-29, 72, 89
23-27, 73, 89
23-28, 74, 89
21-27, 75, 89
29-29, 75, 89
21-28, 76, 89
23-27, 77, 89
23-26, 78, 89
24-25, 79, 89
23-23, 73, 90
26-27, 73, 90
23-23, 74, 90
25-28, 74, 90
22-22, 75, 90
24-27, 75, 90
21-21, 76, 90
24-25, 76, 90
27-27, 76, 90
25-27, 77, 90
24-26, 78, 90
29-29, 78, 90
25-26, 73, 91
25-25, 74, 91
26-26, 75, 91
22-22, 76, 91
23-23, 77, 91
23-23, 79, 91
28-28, 75, 93

Detection #5
73-73, 73, 103
73-73, 74, 103
73-73, 75, 103
77-77, 75, 103
71-71, 72, 104
72-74, 73, 104
77-77, 73, 104
74-75, 74, 104
77-77, 74, 104
74-77, 75, 104
73-73, 76, 104
75-75, 76, 104
77-77, 76, 104
74-76, 77, 104
74-74, 70, 105
76-76, 71, 105
79-79, 71, 105
72-72, 72, 105
74-76, 72, 105
71-71, 73, 105
74-77, 73, 105
71-78, 74, 105
80-80, 74, 105
72-79, 75, 105
70-70, 76, 105
73-79, 76, 105
71-71, 77, 105
73-78, 77, 105
73-73, 78, 105
74-74, 71, 106
76-78, 71, 106
72-72, 72, 106
75-78, 72, 106
72-77, 73, 106
71-79, 74, 106
70-70, 75, 106
72-79, 75, 106
70-78, 76, 106
72-78, 77, 106
74-77, 78, 106
73-73, 79, 106
75-76, 79, 106
78-78, 79, 106
75-75, 80, 106
73-75, 70, 107
73-75, 71, 107
77-77, 71, 107
74-78, 72, 107
72-79, 73, 107
71-78, 74, 107
70-78, 75, 107
80-80, 75, 107
72-79, 76, 107
72-78, 77, 107
72-78, 78, 107
74-74, 79, 107
76-77, 79, 107
74-74, 80, 107
74-76, 70, 108
78-78, 70, 108
72-74, 71, 108
76-78, 71, 108
72-79, 72, 108
70-79, 73, 108
70-78, 74, 108
71-78, 75, 108
71-80, 76, 108
73-79, 77, 108
72-78, 78, 108
71-71, 79, 108
75-77, 79, 108
78-78, 80, 108
77-77, 69, 109
75-76, 71, 109
72-78, 72, 109
71-78, 73, 109
71-79, 74, 109
70-79, 75, 109
71-79, 76, 109
71-78, 77, 109
72-78, 78, 109
73-77, 79, 109
79-79, 79, 109
73-73, 80, 109
76-76, 80, 109
75-75, 70, 110
77-77, 70, 110
72-72, 71, 110
75-77, 71, 110
72-78, 72, 110
71-78, 73, 110
70-78, 74, 110
71-79, 75, 110
72-78, 76, 110
70-70, 77, 110
72-79, 77, 110
71-77, 78, 110
73-73, 79, 110
77-77, 79, 110
73-73, 71, 111
76-76, 71, 111
71-71, 72, 111
73-76, 72, 111
78-78, 72, 111
72-77, 73, 111
71-77, 74, 111
72-78, 75, 111
80-80, 75, 111
71-71, 76, 111
74-78, 76, 111
71-71, 77, 111
74-76, 77, 111
78-78, 77, 111
72-75, 78, 111
77-77, 78, 111
75-75, 79, 111
77-77, 79, 111
77-77, 72, 112
72-77, 73, 112
72-74, 74, 112
76-76, 74, 112
73-77, 75, 112
72-77, 76, 112
73-74, 77, 112
76-77, 77, 112
72-72, 78, 112
76-76, 73, 113
72-74, 75, 113
76-76, 75, 113
73-73, 76, 113
74-74, 78, 113
76-76, 76, 114
77-77, 77, 114

--------------
Duchamp completed: Thu Nov 11 15:50:50 2010