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Table F.2.

GAUSSPY+ keywords mentioned throughout the text.

Symbol Description GAUSSPY+ keyword Default
Essential parameters
α1 First smoothing parameter used in GAUSSPY decomposition (Sect. 2.1) alpha1 None
α2 Second GAUSSPY smoothing parameter; only used in two-phase decomposition (Sect. 2.1) alpha2 None
S/Nmin Minimum S/N for signal peaks in the data (Sect. 3.2.1) snr 3
𝒮min Minimum significance value for signal peaks and fitted Gaussian components (Sect. 3.2.1) significance 5

More advanced settings
Δμmax Maximum difference in offset positions of Gaussian components for grouping (Sect. 3.3.1) mean_separation 2 (*)
ΔΘmax Maximum difference in FWHM values of Gaussian components for grouping (Sect. 3.3.1) fwhm_separation 4 (*)
Θmin Minimum value for the FWHM of fitted Gaussian components min_fwhm 1 (*)
Θmax Maximum value for the FWHM of fitted Gaussian components max_fwhm None(*)
fa Factor by which the maximum data value is multiplied to get a maximum limit for the fitted amplitude ai max_amp_factor 1.1
fΘ Factor by which the FWHM value of a fit component has to exceed all other (neighbouring) fit components to get flagged (Sect. 3.2.2) fwhm_factor 2
fsep Factor to determine the minimum required separation between two fit components before they are counted as blended (Sect. 3.2.2) separation_factor
fw Factor that determines the weight given to neighbouring spectra located at a distance of 1 and 2 pixels (Sect. 3.3.2) weight_factor 2
neg. res. peak Flag criterion for negative residual features (Sect. 3.2.2) flag_neg_res_peak True
Θ Flag criterion for broad fit components (Sect. 3.2.2) flag_broad True
blended Flag criterion for blended fit components (Sect. 3.2.2) flag_blended True
residual Flag criterion for fit results whose normalised residual values do not pass the tests for normality (Sect. 3.2.2) flag_residual True
Ncomp Flag criterion for fit results whose number of components are not compatible with neighbouring fits (Sect. 3.2.2) flag_ncomps True
Npad Number of spectral channels added to the left and right of signal intervals (Sect. 3.1.2) pad_channels 5 (*)
Nmin Minimum number of spectral channels the signal intervals in a spectrum must have (Sect. 3.1.2) min_channels 100 (*)
ΔNmax Maximum allowed difference in Ncomp between fit solution and weighted median number of components determined from all immediate neighbours (Sect. 3.2.2) max_diff_comps 1
ΔNjump Maximum allowed difference in Ncomp between individual neighbouring spectra (Sect. 3.2.2) max_jump_comps 2
Njump Maximum number of allowed ΔNjump occurrences for a single spectrum (Sect. 3.2.2) n_max_jump_comps 1
PLimit Probability threshold for features of consecutive positive or negative channels to be counted as more likely to be a noise feature (Sect. 3.1.1, Appendix A) p_limit 0.02
p-value p-value for the null hypothesis that the residual resembles a normal distribution (Sect. 3.3.1) min_pvalue 0.01
S/Nmin,  fit Minimum S/N (=ai/σrms) for fitted Gaussian components (Sect. 3.2.1) snr_fit None
S/Nmin,  neg Minimum S/N for negative peaks in the spectrum (Sect. 3.2.2) snr_negative None
S/Nspike S/N threshold for noise spikes (Sect. 3.1.3) snr_noise_spike 5
SNR1 S/N threshold used by GAUSSPY for the original spectrum snr_thresh None
SNR2 S/N threshold used by GAUSSPY for the second derivative of the smoothed spectrum snr2_thresh None
ξ Minimum number of spectral channels a peak has to contain on either side (Sect. 3.1.4) order 6 (*)
𝒲min Minimum weight threshold before phase 2 of the spatially coherent refitting routine is terminated (Sect. 3.3.2) min_weight 0.5

Notes.

(*)

Have to be specified in channel units.

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