Configuration Reference

All defaults live in flimkit/configs.py and can be overridden via CLI args or the GUI.

Fitting Defaults

Parameter	Default	Description
`Tau_min`	0.145 ns	Lower lifetime bound
`Tau_max`	45.0 ns	Upper lifetime bound
`n_exp`	3	Number of exponential components
`D_mode`	`'both'`	Fitting mode: `'summed'`, `'perPixel'`, or `'both'`
`binning_factor`	1	Spatial binning for per-pixel fitting
`Optimizer`	`'de'`	`'de'` (Differential Evolution) or `'lm_multistart'`
`MIN_PHOTONS_PERPIX`	10	Minimum photons for per-pixel fitting
`OUT_NAME`	`'flim_out'`	Default output prefix

Parameter	Default	Description
`PHASOR_FILTER`	`None`	Filter method: `'gaussian'`, `'median'`, `'wavelet'`, or `None`
`PHASOR_FILTER_SIGMA`	1.0	Gaussian σ in pixels
`PHASOR_FILTER_SIZE`	3	Median filter kernel size (pixels)
`PHASOR_FILTER_WAVELET`	`'db4'`	Wavelet family for wavelet denoising
`PHASOR_FILTER_LEVEL`	1	Wavelet decomposition level

Parameter	Default	Description
`lm_restarts`	8	Levenberg-Marquardt multi-start restarts
`de_population`	30	DE population size
`de_maxiter`	5000	DE maximum iterations
`n_workers`	-1 (source) / 1 (compiled)	CPU cores for DE; capped at 1 in the compiled app to avoid multiprocessing issues

Pixel values outside the range are clamped to the boundary, not zeroed.

Parameter	Default	Description
`TAU_DISPLAY_MIN`	`None`	Min lifetime (ns) for tau images
`TAU_DISPLAY_MAX`	`None`	Max lifetime (ns) for tau images
`INTENSITY_DISPLAY_MIN`	`None`	Min photon count for intensity images
`INTENSITY_DISPLAY_MAX`	`None`	Max photon count for intensity images

Parameter	Default	Description
`MACHINE_IRF_DIR`	`flimkit/machine_irf` (source) / `~/.flimkit/machine_irf` (compiled)	Storage directory
`MACHINE_IRF_DEFAULT_PATH`	User copy if present, else bundled default	Resolved at startup
`MACHINE_IRF_ALIGN_ANCHOR`	`'peak'`	Alignment landmark during IRF construction
`MACHINE_IRF_REDUCER`	`'median'`	Aggregation method across paired IRFs
`MACHINE_IRF_FIT_STRATEGY`	`'fixed'`	Runtime fitting strategy
`MACHINE_IRF_FIT_BG`	`True`	Fit background offset
`MACHINE_IRF_FIT_SIGMA`	`False`	Fit Gaussian broadening
`MACHINE_IRF_FIT_TAIL`	`False`	Fit exponential tail

Function	Description
`poisson`	Poisson deviance (C-statistic). Recommended
`chi2`	Neyman chi-squared (legacy)