def read(self,filename,min_length,slide_sec=0,buffer=0):
    """
    Parse the science segments from the segwizard output contained in file.
    @param filename: input text file containing a list of science segments generated by
    segwizard.
    @param min_length: only append science segments that are longer than min_length.
    @param slide_sec: Slide each ScienceSegment by::

      delta > 0:
        [s,e] -> [s+delta,e].
      delta < 0:
        [s,e] -> [s,e-delta].

    @param buffer: shrink the ScienceSegment::

      [s,e] -> [s+buffer,e-buffer]
    """
    self.__filename = filename
    octothorpe = re.compile(r'\A#')
    for line in open(filename):
      if not octothorpe.match(line) and int(line.split()[3]) >= min_length:
        (id,st,en,du) = map(int,line.split())

        # slide the data if doing a background estimation
        if slide_sec > 0:
          st += slide_sec
        elif slide_sec < 0:
          en += slide_sec
        du -= abs(slide_sec)

        # add a buffer
        if buffer > 0:
          st += buffer
          en -= buffer
          du -= 2*abs(buffer)

        x = ScienceSegment(tuple([id,st,en,du]))
        self.__sci_segs.append(x)
Parse the science segments from the segwizard output contained in file.
    @param filename: input text file containing a list of science segments generated by
    segwizard.
    @param min_length: only append science segments that are longer than min_length.
    @param slide_sec: Slide each ScienceSegment by::

      delta > 0:
        [s,e] -> [s+delta,e].
      delta < 0:
        [s,e] -> [s,e-delta].

    @param buffer: shrink the ScienceSegment::

      [s,e] -> [s+buffer,e-buffer]