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@ -22,10 +22,75 @@ concept mcc_scalar_or_simd_c = xsimd::is_batch<T>::value || std::is_arithmetic_v
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namespace mcc::astro
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{
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// modified Julian date
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template <traits::mcc_scalar_or_simd_c T>
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int mcc_julday(const std::chrono::utc_clock::time_point& greg_time, T& mjd)
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// modified Julian date (based on ERFA eraCal2jd)
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// template <traits::mcc_scalar_or_simd_c T>
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static int mcc_julday(const std::chrono::system_clock::time_point& start_time,
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const std::chrono::system_clock::duration& step,
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std::vector<double, xsimd::default_allocator<double>>& mjd)
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{
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if (mjd.empty()) {
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return -100;
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}
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using namespace std::literals::chrono_literals;
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auto dd = std::chrono::floor<std::chrono::days>(start_time);
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std::chrono::year_month_day ymd{dd};
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static constexpr std::chrono::year MIN_YEAR = -4799y;
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if (ymd.year() < MIN_YEAR) {
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return -1;
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}
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if (!ymd.month().ok()) {
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return -2;
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}
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// my = (im - 14) / 12;
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// iypmy = (long) (iy + my);
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int64_t my = -(14 - (unsigned)ymd.month()) / 12;
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int64_t iypmy = (int)ymd.year() + my;
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// (1461L * (iypmy + 4800L)) / 4L
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// + (367L * (long) (im - 2 - 12 * my)) / 12L
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// - (3L * ((iypmy + 4900L) / 100L)) / 4L
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// + (long) id - 2432076L
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// integer part of result MJD
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int64_t mjd_int = 1461LL * (iypmy + 480LL) / 4LL +
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(367LL * ((int64_t)(unsigned)ymd.month() - 2LL - 12LL * my)) / 12LL -
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(3LL * (iypmy + 4900LL) / 100LL) / 4LL + (int64_t)(unsigned)ymd.day() - 2432076LL;
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constexpr double nanosec = 1.0 / 24.0 / 3600.0 / 1.0E-9; // 1 nanosecond in days
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double mjd_float = static_cast<double>(mjd_int) +
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std::chrono::duration_cast<std::chrono::nanoseconds>(start_time - dd).count() * nanosec;
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double d_step = std::chrono::duration_cast<std::chrono::nanoseconds>(step).count() * nanosec;
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constexpr size_t reg_size = xsimd::batch<double>::size;
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size_t vec_size = mjd.size() - mjd.size() % reg_size;
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xsimd::batch<double> res_reg{mjd_float};
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xsimd::batch<double> step_reg = [d_step]<size_t... Is>(std::index_sequence<Is...>) {
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return xsimd::batch<double>{(Is * d_step)...};
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}(std::make_index_sequence<reg_size>{});
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// vectorized part
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size_t i = 0;
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for (; i < vec_size; i += vec_size) {
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res_reg += step_reg;
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res_reg.store_aligned(mjd.data() + i);
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}
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// scalar part
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for (size_t j = i; j < mjd.size(); ++j) {
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mjd[j] = mjd_float + j * d_step;
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}
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return 0;
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}
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template <traits::mcc_scalar_or_simd_c T, typename CT, typename DT>
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