Function detect_dead_pixels 

pub fn detect_dead_pixels(data: &Array3<f64>) -> Array2<bool>

Detect dead pixels (zero counts across all TOF bins of one stack).

Pipeline-integrity screen only — see the module-level “Pixel masks — pipeline integrity only” section. Prefer detect_bad_pixels as the validating entry point; this function performs no input validation of its own (backward compatibility: GUI, Python ABI, persisted masks).

Precondition: data has been validated finite and non-negative (e.g. by normalize). Under that invariant the exact == 0.0 test is intentional:

• Counts are validated non-negative, and 0.0 × efficiency == 0.0 holds exactly in IEEE 754, so a <= 0.0 test would be dead code.
• A NaN bin makes a pixel appear alive (NaN == 0.0 is false). This is deliberate: corrupt input must be rejected upstream, never silently masked (house anti-masking rule — cf. the validation rationale comment in normalize). detect_bad_pixels rejects such input up front.
• An empty TOF axis (shape[0] == 0) makes the all-zero test vacuously true for every pixel — the whole detector would be reported dead. This non-validating function keeps that behaviour for backward compatibility; the validating entry points (detect_bad_pixels, detect_dead_pixels_chunked, detect_hot_pixels) reject empty stacks up front.

Arguments

• data — 3D array with shape (n_tof, height, width).

Returns

2D boolean mask, shape (height, width). true = dead pixel.