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Examples

  1. To print the SNR and segment number of each segment, simply type
      binary_reader
    
  2. To print the segment start time and offset for every data segment that passes an outlier test and has a maximum SNR greater than 10 where the maximization is over all templates that have $r^2$ less than 2.5:
      binary_reader -o -t 10.0 -r 2.5 -f tO
    
  3. To produce a sorted list of signal-to-noise ratio--maximized over templates that have $r^2$ less than 2.5--and rank for data segments that pass an outlier test:
      binary_reader -o -r 2.5 -f S | sort -n | awk ' { print $1"\t"NR } '
    
  4. To print the information about all the templates for a particular segment (for example segment number 10) to a file segment.10:
      binary_reader -s 10
    
  5. To interpret the stored offsets as filter peak offsets and not as impulse offsets:
      binary_reader -c -f O
    

Authors: Patrick Brady (patrick@tapir.caltech.edu), Jolien Creighton (jolien@tapir.caltech.edu), R. Balasubramanian (bala@chandra.phys.uwm.edu) and Bruce Allen (ballen@dirac.phys.uwm.edu).
Comments: The routine could be modified to keep the SNR in an internal array, and then to provide both the SNR and the fractional number of events exceeding that SNR in two columns. This is then directly comparable to the false alarm probability.


next up previous contents
Next: Identification of Spurious Events Up: Example: binary_reader program Previous: Example: binary_reader program   Contents
Bruce Allen 2000-11-19