Smear Detection

Identify and remove large background smears within a single precursor m/z.

smear_detection(
  mz_sets,
  rt_bin_cutoff_fraction = 0.5,
  rescue_peaks = TRUE,
  create_plots = TRUE
)

Arguments

mz_sets

tibble containing groups of peaks with a characteristic m/z.

rt_bin_cutoff_fraction

within a given m/z window (mz_sets), filter the window if MS2 events are in more than this fraction of the 100 RT bins; a value of 1 filters nothing.

rescue_peaks

TRUE/FALSE; if TRUE, within "smear" m/z regions, rescue some RT intervals which contain an IC pileup relative to adjacent RT bins; if FALSE, discard all data within a "smear" m/z region.

create_plots

TRUE/FALSE; create a plot which shows the number of RT bins and total MS2 events along with rt_bin_cutoff_fraction as a "smear" cutoff

Value

tibble which is the same as the input only with smear m/zs removed.