One gain mechanism: frames analysed in their own units, the gain applied where a photon count is assumed
The gain of an input in detector units (SMV, marCCD, XTC, the XFEL formats) is measured once, before anything reads the frames (RugnuxMeasureGain: photon-peak spacing and background variance per unit mean), or given with --gain, and handed to the integration and the spot finding by one function (ApplyRugnuxPixelGain). The rotation pre-scan no longer measures it, and the stills reader no longer converts frames of a detector whose photons are not resolved: SACLA MPCCD, Rayonix and CCD frames are integrated in ADU at the gain, rotation and stills alike. Where a photon count was assumed, it is now taken at the gain (bit-identical at gain 1): - integration: the background clip's one-photon floor, the sigma floor (one photon), the profile fit's background floor (0.01 photon), and a still's overload kept as a lower bound, which was left in ADU while every other reflection left the integrator in photons - the cause of the earlier loss of the engine route on clipped CCD stills (merged low resolution inflated by the gain, the rocking-width fit's bandwidth collapsing); CPU and CUDA, Metal through the shared CPU code; - the adaptive spot threshold (Poisson arm and its one-photon floor), CPU and GPU; - the pre-scan spot-width measurement (strong-spot SNR, the ring clip) behind the stills bandwidth and the rotation signal radius; - the hot/dead pixel tests, CPU and GPU; the empty-aperture ring clip. BackgroundPixelGain is gone: one pixel_gain. A detector whose background resolves single photons (photon peaks: JUNGFRAU in keV, AGIPD) is a photon counter and its frames are still counted in whole photons as read: analysed in keV at the gain instead, a photon-counting still set lost 0.008 R-free (fewer spots, a noisier beam-centre trial) - the rounding is the detector's own discrimination. --gain sets the value, the background still says which kind. Validation, against rc178: photon-counting and g<=1 rotation p.hkl md5-identical (lyso, thau, cytc, myob, insu, a small-molecule set, 5reo, 6cee, 6i3j, 2xfw, 6s1u, 8v4j); CCD g>1 at or within noise of rc178 (5uth R_meas 0.113 -> 0.108). Stills R-free (0-cycle REFMAC): MPCCD sets 0.184 -> 0.185 and 0.199 -> 0.196, Rayonix identical, photon-resolving sets back on their rc178 numbers. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015CeEGgpKdfkCTJb3YNMJcu (cherry picked from commit da8dbfc8147354b63e375f2d9521dffb80938b6d)
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@@ -354,10 +354,12 @@ bool BraggIntegrationEngineCPU::ClipsRing(const BraggBoxSums &s) const {
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int32_t BraggIntegrationEngineCPU::ClipThreshold(const BraggBoxSums &s) const {
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// Reject pixels above mean + n*sqrt(gain*mean) to strip a neighbour core or a zinger that biases
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// the mean. The gain is 1 for counted photons, so this is then exactly the Poisson clip. A pixel
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// value is an integer, so it is at or below the threshold exactly when it is at or below its floor.
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// the mean, the mean taken at no less than one photon. The gain is 1 for counted photons, so this is
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// then exactly the Poisson clip. A pixel value is an integer, so it is at or below the threshold
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// exactly when it is at or below its floor.
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const double bkg = static_cast<double>(s.bkg_sum) / s.n_bkg;
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const double thr = bkg + bkg_clip_nsigma * std::sqrt(static_cast<double>(bkg_pixel_gain) * std::max(bkg, 1.0));
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const double g = pixel_gain;
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const double thr = bkg + bkg_clip_nsigma * std::sqrt(g * std::max(bkg, g));
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return static_cast<int32_t>(std::clamp(std::floor(thr), static_cast<double>(INT32_MIN),
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static_cast<double>(INT32_MAX)));
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}
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@@ -440,7 +442,7 @@ void BraggIntegrationEngineCPU::FinishPassA(PassA &a, size_t i, const Reflection
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out.n_disk = s.n_disk;
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out.n_own = s.n_own;
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const double var_bkg_term = static_cast<double>(s.n_inner_valid) * s.n_inner_valid * out.bkg_var;
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out.sigma = 1.0;
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out.sigma = g; // a photon
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if (s.I_sum > 0) {
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out.sigma = std::max(out.sigma, std::sqrt(g * (static_cast<double>(s.I_sum) + var_bkg_term)));
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// The centroid of the SIGNAL, not of the disk. Weighting by the raw counts weights by
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@@ -825,7 +827,7 @@ std::vector<Reflection> BraggIntegrationEngineCPU::ProfilePasses(const Sampler &
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fs.inv_2s2t = 0.5f / static_cast<float>(s2t);
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}
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fs.bkg = static_cast<float>(rh.bkg);
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fs.B = static_cast<float>(std::max(rh.bkg, PIXEL_VARIANCE_FLOOR));
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fs.B = static_cast<float>(std::max(rh.bkg, pixel_gain * PIXEL_VARIANCE_FLOOR));
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fs.v_min = static_cast<float>(WEIGHT_VARIANCE_MIN_FRACTION) * fs.B;
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fs.I0 = static_cast<float>(rh.I);
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}
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