Jungfraujoch/image_analysis/bragg_prediction/BraggPredictionRotGPU.cu

// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only

#include <algorithm>
#include "../../common/JFJochMath.h"
#include "BraggPredictionRotGPU.h"

#ifdef JFJOCH_USE_CUDA
#include "../indexing/CUDAMemHelpers.h"
#include <cuda_runtime.h>
#include <cmath>

namespace {
     __host__ __device__ inline bool is_odd(int v) { return (v & 1) != 0; }

     __host__ __device__ inline void cross3(float ax, float ay, float az,
                                  float bx, float by, float bz,
                                  float &cx, float &cy, float &cz) {
        cx = ay * bz - az * by;
        cy = az * bx - ax * bz;
        cz = ax * by - ay * bx;
    }

     __host__ __device__ inline float dot3(float ax, float ay, float az,
                                 float bx, float by, float bz) {
        return ax * bx + ay * by + az * bz;
    }

     __host__ __device__ inline void normalize3(float &x, float &y, float &z) {
        float len = sqrtf(x * x + y * y + z * z);
        if (len < 1e-12f) { x = 0.0f; y = 0.0f; z = 0.0f; return; }
        float inv = 1.0f / len;
        x *= inv; y *= inv; z *= inv;
    }

    __device__ inline int compute_reflections_rot(const KernelConstsRot &C, int h, int k, int l, Reflection out[2]) {
        if (h == 0 && k == 0 && l == 0)
            return 0;

         switch (C.centering) {
             case 'I':
                 if (is_odd(h + k + l)) return false;
                 break;
             case 'A':
                 if (is_odd(k + l)) return false;
                 break;
             case 'B':
                 if (is_odd(h + l)) return false;
                 break;
             case 'C':
                 if (is_odd(h + k)) return false;
                 break;
             case 'F':
                 if (is_odd(h + k) || is_odd(h + l) || is_odd(k + l)) return false;
                 break;
             case 'R': {
                 int mod = (-h + k + l) % 3;
                 if (mod < 0) mod += 3;
                 if (mod != 0) return false;
                 break;
             }
             default:
                 break;
         }

        // p0 = A* h + B* k + C* l
        float p0x = C.Astar.x * h + C.Bstar.x * k + C.Cstar.x * l;
        float p0y = C.Astar.y * h + C.Bstar.y * k + C.Cstar.y * l;
        float p0z = C.Astar.z * h + C.Bstar.z * k + C.Cstar.z * l;

        float p0_sq = p0x * p0x + p0y * p0y + p0z * p0z;
        if (p0_sq <= 0.0f || p0_sq > C.one_over_dmax_sq)
            return 0;

        float p0_m1 = p0x * C.m1.x + p0y * C.m1.y + p0z * C.m1.z;
        float p0_m2 = p0x * C.m2.x + p0y * C.m2.y + p0z * C.m2.z;
        float p0_m3 = p0x * C.m3.x + p0y * C.m3.y + p0z * C.m3.z;

        float rho_sq = p0_sq - (p0_m2 * p0_m2);
        float p_m3 = (-p0_sq / 2.0f - p0_m2 * C.m2_S0) / C.m3_S0;
        float p_m2 = p0_m2;

        if (rho_sq < p_m3 * p_m3) return 0;
        if (p0_sq > 4.0f * dot3(C.S0.x, C.S0.y, C.S0.z, C.S0.x, C.S0.y, C.S0.z)) return 0;

        float p_m1_pos = sqrtf(rho_sq - p_m3 * p_m3);
        float p_m1_arr[2] = {p_m1_pos, -p_m1_pos};

        // Effective rocking width: mosaicity broadened by the bandwidth term (consistent with CPU),
        // dtheta = (dlambda/lambda) tan(theta_B) in quadrature with sigma_M, zeta-free.
        float mos_eff_rad = C.mos_angle_rad;
        if (C.bandwidth_sigma > 0.0f) {
            float sin_theta = C.half_wavelength_A * sqrtf(p0_sq);
            float dphi_bw = C.bandwidth_sigma * sin_theta / sqrtf(1.0f - sin_theta * sin_theta);
            mos_eff_rad = sqrtf(C.mos_angle_rad * C.mos_angle_rad + dphi_bw * dphi_bw);
        }

        int count = 0;
        for (int idx = 0; idx < 2; ++idx) {
            float p_m1 = p_m1_arr[idx];

            float cosphi = (p_m1 * p0_m1 + p_m3 * p0_m3) / rho_sq;
            float sinphi = (p_m1 * p0_m3 - p_m3 * p0_m1) / rho_sq;

            float px = C.m1.x * p_m1 + C.m2.x * p_m2 + C.m3.x * p_m3;
            float py = C.m1.y * p_m1 + C.m2.y * p_m2 + C.m3.y * p_m3;
            float pz = C.m1.z * p_m1 + C.m2.z * p_m2 + C.m3.z * p_m3;

            float Sx = C.S0.x + px;
            float Sy = C.S0.y + py;
            float Sz = C.S0.z + pz;

            float phi = -1.0f * atan2f(sinphi, cosphi);

            // e1 = normalize(S x S0) - direction perpendicular to both S and S0
            float e1x, e1y, e1z;
            cross3(Sx, Sy, Sz, C.S0.x, C.S0.y, C.S0.z, e1x, e1y, e1z);
            normalize3(e1x, e1y, e1z);

            // zeta = |m2 · e1| - the "lorentz-like" geometric factor for partiality
            float zeta_abs = fabsf(dot3(C.m2.x, C.m2.y, C.m2.z, e1x, e1y, e1z));

            // Check min_zeta threshold (consistent with CPU)
            if (zeta_abs < C.min_zeta)
                continue;

            // epsilon3 cutoff check (consistent with CPU, Kabsch formulation): measured against the
            // frame's EDGE, not its centre, or a reflection whose rocking curve overlaps the exposure
            // is rejected because its exact diffracting condition falls outside it - and since the
            // nearest frame centre is at most half a wedge away, it is then rejected on every frame
            // and lost entirely. See the CPU engine for the regime that reaches.
            float epsilon3 = fabsf(phi * zeta_abs) - 0.5f * C.wedge_angle_rad * zeta_abs;
            if (epsilon3 > C.mosaicity_multiplier * mos_eff_rad)
                continue;

            float cx, cy, cz;
            cross3(Sx, Sy, Sz, C.S0.x, C.S0.y, C.S0.z, cx, cy, cz);
            // Reciprocal Lorentz (Kabsch 2010): |m2 . (S x S0)| / (|S| |S0|) = zeta * sin(2theta).
            // Dividing by the scalar product S.S0 = |S||S0|cos(2theta) would add a spurious
            // 1/cos(2theta) to the absolute scale.
            float S_len = sqrtf(dot3(Sx, Sy, Sz, Sx, Sy, Sz));
            float S0_len = sqrtf(dot3(C.S0.x, C.S0.y, C.S0.z, C.S0.x, C.S0.y, C.S0.z));
            float lorentz = fabsf(dot3(C.m2.x, C.m2.y, C.m2.z, cx, cy, cz)) / (S_len * S0_len);

            // Partiality calculation (Kabsch formulation)
            // c1 = sqrt(2) * sigma / zeta, where sigma = mosaicity
            float c1 = zeta_abs / (sqrtf(2.0f) * mos_eff_rad);
            float half_wedge = C.wedge_angle_rad / 2.0f;
            float partiality = (erff((phi + half_wedge) * c1)
                                - erff((phi - half_wedge) * c1)) / 2.0f;


            // Use S (rotated) for projection
            float Srx = C.rot[0] * Sx + C.rot[1] * Sy + C.rot[2] * Sz;
            float Sry = C.rot[3] * Sx + C.rot[4] * Sy + C.rot[5] * Sz;
            float Srz = C.rot[6] * Sx + C.rot[7] * Sy + C.rot[8] * Sz;

            if (Srz <= 0.0f) continue;

            float coeff = C.coeff_const / Srz;
            float x = C.beam_x + Srx * coeff;
            float y = C.beam_y + Sry * coeff;

            if (x < 0.0f || x >= C.det_width_pxl || y < 0.0f || y >= C.det_height_pxl)
                continue;

            float dist_ewald = fabsf(sqrtf(Sx * Sx + Sy * Sy + Sz * Sz) - C.one_over_wavelength);

            out[count].h = h;
            out[count].k = k;
            out[count].l = l;
            out[count].delta_phi_deg = phi * 180.0 / PI;
            out[count].predicted_x = x;
            out[count].predicted_y = y;
            out[count].observed_x = NAN;
            out[count].observed_y = NAN;
            out[count].d = 1.0f / sqrtf(p0_sq);
            out[count].dist_ewald = dist_ewald;
            out[count].rlp = lorentz;
            out[count].partiality = partiality;
            out[count].zeta = zeta_abs;
            out[count].image_scale_corr = lorentz / partiality;
            count++;
        }
        return count;
    }

    __global__ void bragg_rot_kernel_3d(const KernelConstsRot *__restrict__ kc,
                                        int max_h, int max_k, int max_l,
                                        int max_reflections,
                                        Reflection *__restrict__ out,
                                        int *__restrict__ counter) {
        int hi = blockIdx.x * blockDim.x + threadIdx.x;
        int ki = blockIdx.y * blockDim.y + threadIdx.y;
        int li = blockIdx.z * blockDim.z + threadIdx.z;
        if (hi > 2 * max_h || ki > 2 * max_k || li > 2 * max_l) return;
        int h = hi - max_h;
        int k = ki - max_k;
        int l = li - max_l;

        Reflection r[2];
        int n = compute_reflections_rot(*kc, h, k, l, r);

        for (int i = 0; i < n; ++i) {
            // Do NOT clamp the counter back down on overflow: it then saturates at the capacity and the
            // host cannot tell a full buffer from an overflowing one. Let it count the true total.
            const int pos = atomicAdd(counter, 1);
            if (pos < max_reflections)
                out[pos] = r[i];
        }
    }

    inline KernelConstsRot BuildKernelConstsRot(const DiffractionExperiment &experiment,
                                                const CrystalLattice &lattice,
                                                const BraggPredictionSettings &settings) {
         KernelConstsRot kc{};
         auto geom = experiment.GetDiffractionGeometry();

         kc.det_width_pxl = static_cast<float>(experiment.GetXPixelsNum());
         kc.det_height_pxl = static_cast<float>(experiment.GetYPixelsNum());
         kc.beam_x = geom.GetBeamX_pxl();
         kc.beam_y = geom.GetBeamY_pxl();
         kc.coeff_const = geom.GetDetectorDistance_mm() / geom.GetPixelSize_mm();

         float one_over_dmax = 1.0f / settings.high_res_A;
         kc.one_over_dmax_sq = one_over_dmax * one_over_dmax;
         kc.one_over_wavelength = 1.0f / geom.GetWavelength_A();

         // Store mosaicity and wedge in radians for partiality calculation
         kc.mos_angle_rad = settings.mosaicity_deg * static_cast<float>(PI) / 180.0f;
         kc.wedge_angle_rad = settings.wedge_deg * static_cast<float>(PI) / 180.0f;
         kc.min_zeta = settings.min_zeta;
         kc.mosaicity_multiplier = settings.mosaicity_multiplier;
         kc.bandwidth_sigma = settings.bandwidth_sigma;
         kc.half_wavelength_A = geom.GetWavelength_A() / 2.0f;

         kc.Astar = lattice.Astar();
         kc.Bstar = lattice.Bstar();
         kc.Cstar = lattice.Cstar();
         kc.S0 = geom.GetScatteringVector();

         auto rotT = geom.GetPoniRotMatrix().transpose().arr();
         for (int i = 0; i < 9; ++i) kc.rot[i] = rotT[i];

         kc.centering = settings.centering;
         return kc;
     }

    inline void BuildGoniometerBasis(const DiffractionExperiment &experiment, KernelConstsRot &kc) {
        const auto gon_opt = experiment.GetGoniometer();
        if (!gon_opt.has_value())
            throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
                                  "BraggPredictionRotationGPU requires a goniometer axis");
        const GoniometerAxis &gon = *gon_opt;

        // m2 = normalize(axis)
        float m2x = gon.GetAxis().x;
        float m2y = gon.GetAxis().y;
        float m2z = gon.GetAxis().z;
        normalize3(m2x, m2y, m2z);

        // m1 = normalize(m2 x S0)
        float m1x, m1y, m1z;
        cross3(m2x, m2y, m2z, kc.S0.x, kc.S0.y, kc.S0.z, m1x, m1y, m1z);
        normalize3(m1x, m1y, m1z);

        // m3 = normalize(m1 x m2)
        float m3x, m3y, m3z;
        cross3(m1x, m1y, m1z, m2x, m2y, m2z, m3x, m3y, m3z);
        normalize3(m3x, m3y, m3z);

        kc.m1 = Coord(m1x, m1y, m1z);
        kc.m2 = Coord(m2x, m2y, m2z);
        kc.m3 = Coord(m3x, m3y, m3z);
        kc.m2_S0 = dot3(m2x, m2y, m2z, kc.S0.x, kc.S0.y, kc.S0.z);
        kc.m3_S0 = dot3(m3x, m3y, m3z, kc.S0.x, kc.S0.y, kc.S0.z);
    }
} // namespace

BraggPredictionRotGPU::BraggPredictionRotGPU(int max_reflections)
    : BraggPrediction(max_reflections),
      reg_out(reflections), d_out(max_reflections),
      dK(1), d_count(1), h_count(1) {
}

// The host buffer is page-locked and the device buffer is sized to match it, so both are rebuilt.
void BraggPredictionRotGPU::GrowCapacity(int count) {
    reg_out = CudaRegisteredVector<Reflection>();   // unregister before the vector reallocates
    BraggPrediction::GrowCapacity(count);
    reg_out = CudaRegisteredVector<Reflection>(reflections);
    d_out = CudaDevicePtr<Reflection>(count);
}

int BraggPredictionRotGPU::Calc(const DiffractionExperiment &experiment,
                                const CrystalLattice &lattice,
                                const BraggPredictionSettings &settings) {
    KernelConstsRot hK = BuildKernelConstsRot(experiment, lattice, settings);
    BuildGoniometerBasis(experiment, hK);

    cudaMemcpyAsync(dK, &hK, sizeof(KernelConstsRot), cudaMemcpyHostToDevice, stream);
    cudaMemsetAsync(d_count, 0, sizeof(int), stream);

    // Inclusive on both ends, matching the kernel's own bounds and the CPU loops (-max_i .. +max_i).
    dim3 block(8, 8, 8);
    dim3 grid((2 * settings.max_h + 1 + block.x - 1) / block.x,
              (2 * settings.max_k + 1 + block.y - 1) / block.y,
              (2 * settings.max_l + 1 + block.z - 1) / block.z);

    bragg_rot_kernel_3d<<<grid, block, 0, stream>>>(dK, settings.max_h, settings.max_k, settings.max_l, max_reflections, d_out, d_count);

    cudaMemcpyAsync(h_count, d_count, sizeof(int), cudaMemcpyDeviceToHost, stream);
    cudaStreamSynchronize(stream);

    int count = *h_count.get();
    if (count > max_reflections) {
        // The buffer holds an arbitrary subset of what was predicted (whichever slots the atomics
        // reached first), so it cannot be used. Grow to fit and predict again; the buffer stays grown,
        // so a run pays for this a handful of times at most.
        GrowCapacity(count);
        cudaMemsetAsync(d_count, 0, sizeof(int), stream);
        bragg_rot_kernel_3d<<<grid, block, 0, stream>>>(dK, settings.max_h, settings.max_k, settings.max_l, max_reflections, d_out, d_count);
        cudaMemcpyAsync(h_count, d_count, sizeof(int), cudaMemcpyDeviceToHost, stream);
        cudaStreamSynchronize(stream);
        count = std::min(*h_count.get(), max_reflections);
    }
    if (count == 0) return 0;

    cudaMemcpyAsync(reflections.data(), d_out, sizeof(Reflection) * count, cudaMemcpyDeviceToHost, stream);
    cudaStreamSynchronize(stream);

    OrderOutput(count);
    return TruncateToOutput(count);
}

#endif