# 5.7.1.2. eqcorrscan.utils.findpeaks.find_peaks2_short

`eqcorrscan.utils.findpeaks.``find_peaks2_short`(arr, thresh, trig_int, debug=0, starttime=False, samp_rate=1.0)

  Determine peaks in an array of data above a certain threshold.

  Uses a mask to remove data below threshold and finds peaks in what is left.

  Parameters: | arr (numpy.ndarray) 1-D numpy array is required thresh (float) The threshold below which will be considered noise and peaks will not be found in. trig_int (int) The minimum difference in samples between triggers, if multiple peaks within this window this code will find the highest. debug (int) Optional, debug level 0-5 starttime (obspy.core.utcdatetime.UTCDateTime) Starttime for plotting, only used if debug > 2. samp_rate (float) Sampling rate in Hz, only used for plotting if debug > 2.
  Returns: | peaks: Lists of tuples of peak values and locations.
  Return type: | list

      >>> import numpy as np
      >>> arr = np.random.randn(100)
      >>> threshold = 10
      >>> arr[40] = 20
      >>> arr[60] = 100
      >>> find_peaks2_short(arr, threshold, 3)
      [(20.0, 40), (100.0, 60)]