Files
astro/basic/inner_event_window.go
T
b612 2bf8478639 feat: 完善日月食与月掩几何链路并扩展历法接口
- 新增日月食中心带、偏食带、阴影足迹、等时线、食分线及升落边界计算,支持极区与混合食拓扑
- 新增日食单时刻阴影求解器、站心状态查询、批量采样和 ΔT 覆盖接口
- 重构恒星与行星月掩路径,补充有限盘面接触、站心修正、掩带宽度、极区投影及升落边界
- 扩展 SVG 与 GeoJSON 输出,支持详细面板、全球/极区/地球投影、边界闭合、时间标记和拓扑签名
- 扩展日月食候选搜索、局地搜索、沙罗序列预计算与范围外推,补充系列锚点和成员一致性校验
- 补齐古历纪年、儒略历独有闰日、多公历候选、历法改革跨日及精确日期运算接口
- 优化 ΔT、章动、恒星时、月球地平线、事件根搜索和本地星历缓存,降低重复计算开销并提升边界稳定
2026-09-17 12:27:40 +08:00

190 lines
4.5 KiB
Go

package basic
import "math"
const (
innerEventEpsilon = 0.1 / 86400.0
innerEventWindowPadding = 4.0 / 86400.0
innerEventMaximizeEpsilon = 4.0 / 86400.0
)
func eventQueryTTAsUT(queryTT float64) float64 {
return TD2UT(queryTT, false)
}
func eventUTQueryTTDelta(eventUT, queryTT float64) float64 {
return eventUT - eventQueryTTAsUT(queryTT)
}
func eventUTQueryBeforeOrEqual(eventUT, queryTT float64) bool {
return eventUTQueryTTDelta(eventUT, queryTT) <= innerEventEpsilon
}
func eventUTQueryAfterOrEqual(eventUT, queryTT float64) bool {
return eventUTQueryTTDelta(eventUT, queryTT) >= -innerEventEpsilon
}
func eventUTNextQueryTT(eventUT float64) float64 {
return TD2UT(eventUT, true) + 1.0
}
func eventUTLastQueryTT(eventUT float64) float64 {
return TD2UT(eventUT, true) - 1.0
}
func innerNextCycleOffset(delta, period float64) float64 {
if delta <= 0 {
return -delta * period / 360.0
}
return (360.0 - delta) * period / 360.0
}
func innerLastCycleOffset(delta, period float64) float64 {
if delta >= 0 {
return delta * period / 360.0
}
return (360.0 + delta) * period / 360.0
}
func clampFloat64(v, min, max float64) float64 {
if v < min {
return min
}
if v > max {
return max
}
return v
}
func scanWindowForMinAbs(start, end, step float64, fn func(float64) float64) float64 {
if end < start {
start, end = end, start
}
if step <= 0 || end == start {
return start
}
bestJD := start
bestAbs := math.Abs(fn(start))
for jd := start + step; jd < end; jd += step {
candidateAbs := math.Abs(fn(jd))
if candidateAbs < bestAbs {
bestAbs = candidateAbs
bestJD = jd
}
}
endAbs := math.Abs(fn(end))
if endAbs < bestAbs {
return end
}
return bestJD
}
func scanWindowForMax(start, end, step float64, fn func(float64) float64) float64 {
if end < start {
start, end = end, start
}
if step <= 0 || end == start {
return start
}
bestJD := start
bestVal := fn(start)
for jd := start + step; jd < end; jd += step {
candidateVal := fn(jd)
if candidateVal > bestVal {
bestVal = candidateVal
bestJD = jd
}
}
endVal := fn(end)
if endVal > bestVal {
return end
}
return bestJD
}
func boundedEventZeroRefine(seed, start, end, halfWindow, step float64, fn func(float64) float64) float64 {
if end < start {
start, end = end, start
}
if end <= start {
return start
}
maxHalfWindow := (end - start) / 2
if halfWindow > maxHalfWindow {
halfWindow = maxHalfWindow
}
if halfWindow <= 0 {
return clampFloat64(seed, start, end)
}
seed = clampFloat64(seed, start+halfWindow, end-halfWindow)
return eventZeroRefine(seed, halfWindow, step, fn)
}
func zeroEventInWindow(start, end, coarseStep, halfWindow, refineStep float64, coarseFn, exactFn func(float64) float64) float64 {
if end < start {
start, end = end, start
}
if end <= start {
return start
}
rangeDays := end - start
if coarseStep <= 0 || coarseStep > rangeDays {
coarseStep = rangeDays / 6.0
}
if coarseStep < 0.5 {
coarseStep = 0.5
}
if refineStep <= 0 {
refineStep = 0.5 / 86400.0
}
if halfWindow <= 0 {
halfWindow = coarseStep
}
guess := scanWindowForMinAbs(start, end, coarseStep, coarseFn)
return boundedEventZeroRefine(guess, start, end, halfWindow, refineStep, exactFn)
}
func maximizeInWindow(start, end, coarseStep float64, coarseFn, exactFn func(float64) float64) float64 {
if end < start {
start, end = end, start
}
if end <= start {
return start
}
rangeDays := end - start
if coarseStep <= 0 || coarseStep > rangeDays {
coarseStep = rangeDays / 6.0
}
if coarseStep < 0.5 {
coarseStep = 0.5
}
guess := scanWindowForMax(start, end, coarseStep, coarseFn)
left := clampFloat64(guess-coarseStep, start, end)
right := clampFloat64(guess+coarseStep, start, end)
if right-left <= innerEventMaximizeEpsilon {
return guess
}
// 注意:这里必须全部用全项函数迭代。粗阶段(截断函数)虽然更便宜,但截断峰位与全项峰位
// 相差分钟量级,粗段省下的求值次数会被精段为达到同等精度而多花掉,因此不做两段式拆分。
for i := 0; i < 20; i++ {
third := (right - left) / 3.0
leftThird := left + third
rightThird := right - third
if exactFn(leftThird) <= exactFn(rightThird) {
left = leftThird
continue
}
right = rightThird
}
bestJD := guess
bestVal := exactFn(bestJD)
for _, jd := range []float64{left, (left + right) / 2.0, right} {
candidateVal := exactFn(jd)
if candidateVal > bestVal {
bestVal = candidateVal
bestJD = jd
}
}
return bestJD
}