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• numpy.array, ndim=2  - 2-d data numpy array for processing
• [numpy.array, ndim=2] - list of 2-d data numpy arrays for processing
• numpy.array , ndim>2 - a set of 2-d data numpy arrays for processing; last two indexes are used as 2-d row and column, higher indexes are compacted to the 1-dim segment index

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• • seg : array of int - segment index, e.g. in CSPAD consisting of 32 segments this index should be in the range from 0 to 31
  • row : array of int - row of the central pixel with maximal intensity in the square region defined by rank
  • col : array of int - column of the central pixel with maximal intensity in the square region defined by rank
  • npix : array of int - number of pixels accounted in the peak
  • amp_max : array of float - maximal intensity among peak pixels
  • amp_total : array of float - total intensity of pixels accounted in the peak
  • row_cgmean : array of float - "center of gravity" row coordinate evaluated for pixels accounted in the peak using their intensities as weights
  • col_cgmean : array of float - "center of gravity" column coordinate evaluated for pixels accounted in the peak using their intensities as weights
  • raw_cgrms : array of float - "center of gravity" row coordinate rms
  • col_cgrms : array of float - "center of gravity" column coordinate rms
  • base : array of float - per pixel base level mean estimated for pixels in the ring region (parameters base_r, base_dr)  around peak center
  • noise : array of float - per pixel base level rms estimated for pixels in the ring region (parameters base_r, base_dr) around peak center
  • son : array of float - signal over noise ratio estimated as amp_total / (noise * sqrt(npix))
  • peak : list of peak objects
    peak attributes:
    
    • pixinds : array of (int,int) - (row,col) indexes for pixels accounted in the peak
    • pixrow : array of int - row index for pixels accounted in the peak
    • pixcol : array of int - column index for pixels accounted in the peak
    • peakmap : array shaped as data of int - map with pixels marked by peak numbers
    peak methods:

• • • row_min() : int - minimal row of the pixels accounted in the peak
    • row_max() : int - maximal row of the pixels accounted in the peak
    • col_min() : int - minimal column of the pixels accounted in the peak
    • col_max() : int - maximal column of the pixels accounted in the peak
    • other methods of data processing involving pixrow, pixcol, etc.


Peak-finding algorithms

Each peak-finding algorithm works in a few stages. First stage is a search for peak candidates or "seed" peaks and this is a most distinctive part between algorithms:

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