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SpectraRust/src/math/opacf0.rs
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fmqandClaude Opus 4.6 a086e313cb feat: 添加更多重构模块 (第7批)
包含 IO 和 math 模块的实现:
- IO: initia, levcd, linset, ltegr, ltegrd, odfset, outpri, resolv, srtfrq, start, tabini, xenini
- Math: accel2, alisk1, alisk2, alist1, alist2, concor, conout, conref, contmd, contmp, coolrt, greyd, inilam, linsel, lucy, lymlin, matcon, matgen, moleq, newdm, newdmt, odf1, opacf0, opacf1, opacfa, opacfd, opacfl, opactr, opadd, opahst, pgset, princ, prnt, pzeval, quasim, radpre, radtot, rates1, ratsp1, rdata, rdatax, rechck, rhoeos, rhonen, rhsgen, rossop, rtecf1, rtecmc, rtecmu, rtecom, rtefr1, rteint, russel, rybchn, rybene, rybheq, rybsol, sgmer1, sigave, sigk, solve, solves, state, steqeq, temcor, temper, topbas, trmder, trmdrt

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 01:46:29 +08:00

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//! 单深度点的吸收、发射和散射系数计算。
//!
//! 重构自 TLUSTY `opacf0.f`
//!
//! 对于给定深度点 ID,计算所有频率点的吸收、发射和散射系数。
//! 这是计算不透明度的核心函数之一。
//!
//! # 算法流程
//!
//! 1. 初始化深度相关温度量 (类似 TDPINI)
//! 2. 初始化电子密度相关量 (类似 OPAINI)
//! 3. 计算束缚-自由不透明度预备量
//! 4. 计算自由-自由不透明度预备量
//! 5. 初始化 Mermerges 数据 (类似 SGMER0)
//! 6. 初始化谱线不透明度
//! 7. 循环频率点计算总不透明度
use crate::state::constants::{HK, H, UN, SIGE, NLMX, MFREQ, MFREQL, MLEVEL, MTRANS, MION, MMER};
// 物理常数 (来自 opacf0.f)
/// Rydberg 频率
const FRH: f64 = 3.28805e15;
/// H⁻ 光电离截面常数
const PH2: f64 = 2.815e29 * 2.0;
/// 氢结合能
const EHB: f64 = 157802.77355;
/// H⁻ 自由-自由常数 1
const CFF1: f64 = 1.3727e-25;
/// H⁻ 自由-自由常数 2
const CFF2: f64 = 4.3748e-10;
/// H⁻ 自由-自由常数 3
const CFF3: f64 = 2.5993e-7;
/// c * 1e14 (用于 Gaunt 因子)
const C14: f64 = 2.99793e14;
/// 自由-自由基准截面
const SGFF0: f64 = 3.694e8;
// ============================================================================
// 参数结构体
// ============================================================================
/// OPACF0 输入配置
#[derive(Debug, Clone)]
pub struct Opacf0Config {
/// Compton 散射标志 (>0: 计算)
pub icompt: i32,
/// ODF 采样标志 (0: 标准模式, >=1: ODF 采样)
pub ispodf: i32,
/// 双电子复合标志 (0: 无, >0: 有)
pub ifdiel: i32,
/// 附加不透明度标志 (0: 无, !=0: 有)
pub iopadd: i32,
/// 密度缩放标志 (0: 已缩放, 1: 不缩放)
pub izscal: i32,
/// 表格不透明度标志 (>0: 使用 OPACT1)
pub ioptab: i32,
/// 当前迭代次数
pub iter: i32,
/// 激光抑制迭代阈值
pub itlas: i32,
/// 激光抑制阈值
pub qtlas: f64,
}
impl Default for Opacf0Config {
fn default() -> Self {
Self {
icompt: 0,
ispodf: 0,
ifdiel: 0,
iopadd: 0,
izscal: 1,
ioptab: 0,
iter: 1,
itlas: 100,
qtlas: 0.1,
}
}
}
/// OPACF0 模型状态参数
#[derive(Debug)]
pub struct Opacf0ModelState<'a> {
/// 深度点数
pub nd: usize,
/// 温度 (nd)
pub temp: &'a [f64],
/// 电子密度 (nd)
pub elec: &'a [f64],
/// 总粒子密度 (nd)
pub dens: &'a [f64],
/// 分子质量 (nd)
pub wmm: &'a [f64],
/// 占据数 (mlevel × nd)
pub popul: &'a [f64],
// 工作数组 (输入/输出)
/// HKT1 (nd) - HK/T
pub hkt1: &'a mut [f64],
/// HKT21 (nd) - (HK/T)²
pub hkt21: &'a mut [f64],
/// TK1 (nd) - 1/(kT)
pub tk1: &'a mut [f64],
/// SQT1 (nd) - sqrt(T)
pub sqt1: &'a mut [f64],
/// TEMP1 (nd) - 1/T
pub temp1: &'a mut [f64],
/// ELEC1 (nd) - 1/ne
pub elec1: &'a mut [f64],
/// DENS1 (nd) - 1/n
pub dens1: &'a mut [f64],
/// DENSI (nd) - 密度倒数
pub densi: &'a mut [f64],
/// DENSIM (nd) - 密度倒数 × 分子质量
pub densim: &'a mut [f64],
/// ELSCAT (nd) - 电子散射系数
pub elscat: &'a mut [f64],
}
/// OPACF0 原子数据参数
#[derive(Debug)]
pub struct Opacf0AtomicParams<'a> {
/// 束缚-自由跃迁数
pub ntranc: usize,
/// 离子数
pub nion: usize,
/// 能级数
pub nlevel: usize,
/// 跃迁数
pub ntrans: usize,
/// 连续谱频率数
pub nfreqc: usize,
// 跃迁索引
/// 束缚-自由跃迁索引 (ntranc), 1-indexed
pub itrbf: &'a [i32],
/// 低能级索引 (mtrans), 1-indexed
pub ilow: &'a [i32],
/// 高能级索引 (mtrans), 1-indexed
pub iup: &'a [i32],
/// 跃迁类型索引 (mlevel × mlevel), 1-indexed
pub itra: &'a [i32],
/// 指数索引 (mtrans)
pub indexp: &'a [i32],
/// Macfarlane 下沉修正索引 (mtrans)
pub mcdw: &'a [i32],
/// 频率起点 (mtrans), 1-indexed
pub ifr0: &'a [i32],
/// 频率终点 (mtrans), 1-indexed
pub ifr1: &'a [i32],
/// ODF 频率起点 (mtrans), 1-indexed
pub kfr0: &'a [i32],
/// ODF 频率终点 (mtrans), 1-indexed
pub kfr1: &'a [i32],
/// 阈值频率 (mtrans)
pub fr0: &'a [f64],
/// 积分模式 (mtrans)
pub intmod: &'a [i32],
/// 谱线标志 (mtrans)
pub line: &'a [i32],
// 能级相关
/// 能级对应的元素索引 (mlevel), 1-indexed
pub iel: &'a [i32],
/// 能级对应的原子索引 (mlevel), 1-indexed
pub iatm: &'a [i32],
/// Mermerges 处理标志 (mlevel), < 0 表示需要特殊处理
pub ifwop: &'a [i32],
/// Mermerges 索引 (mlevel)
pub imrg: &'a mut [i32],
/// 主量子数 (mlevel)
pub nquant: &'a [i32],
/// 电离能 (mlevel)
pub enion: &'a [f64],
/// 统计权重 (mlevel)
pub g: &'a [f64],
/// 束缚-自由截面 (mlevel)
pub sbf: &'a [f64],
/// 束缚-自由权重 (mlevel × nd)
pub wop: &'a [f64],
// 离子相关
/// 离子对应的下一个能级索引 (mion), 1-indexed
pub nnext: &'a [i32],
/// 离子起始能级 (mion), 1-indexed
pub nfirst: &'a [i32],
/// 自由-自由阈值频率 (mion)
pub ff: &'a [f64],
/// 电荷² (mion)
pub charg2: &'a [f64],
/// 原子序数 Z (mion)
pub iz: &'a [i32],
/// H 元素索引 (1-indexed, 0 表示无)
pub ielh: i32,
/// H⁻ 元素索引 (1-indexed, 0 表示无)
pub ielhm: i32,
// 原子相关
/// 原子操作标志 (matom), 0=正常, >0=特殊
pub iadop: &'a [i32],
}
/// OPACF0 频率数据参数
#[derive(Debug)]
pub struct Opacf0FreqParams<'a> {
/// 频率点数
pub nfreq: usize,
/// 频率数组 (nfreq)
pub freq: &'a [f64],
/// Planck 函数 (nfreq)
pub bnue: &'a [f64],
/// 主谱线索引 (nfreq), 0 表示无
pub ijlin: &'a [i32],
/// 重叠谱线数 (nfreq)
pub nlines: &'a [i32],
/// 谱线索引 (mitj × nfreq)
pub itrlin: &'a [i32],
/// Compton 散射截面 (nfreq)
pub sigec: &'a [f64],
/// 表格最大频率
pub frtabm: f64,
}
/// OPACF0 输出状态
#[derive(Debug)]
pub struct Opacf0Output<'a> {
/// 吸收系数 (nfreq)
pub abso: &'a mut [f64],
/// 发射系数 (nfreq)
pub emis: &'a mut [f64],
/// 散射系数 (nfreq)
pub scat: &'a mut [f64],
// 工作数组
/// XKF (nd) - exp(-hν/kT)
pub xkf: &'a mut [f64],
/// XKF1 (nd) - 1 - XKF
pub xkf1: &'a mut [f64],
/// XKFB (nd) - XKF × Bν
pub xkfb: &'a mut [f64],
// 跃迁吸收/发射系数 (mtrans × nd)
/// 吸收系数
pub abtra: &'a mut [f64],
/// 发射系数
pub emtra: &'a mut [f64],
// 自由-自由系数
/// SFF2 (mion × nd)
pub sff2: &'a mut [f64],
/// SFF3 (mion × nd)
pub sff3: &'a mut [f64],
/// H⁻ 自由-自由系数 (nd)
pub cffn: &'a mut [f64],
/// H⁻ 自由-自由温度因子 (nd)
pub cfft: &'a mut [f64],
// Mermerges 数据
/// Mermerges 频率 (mmer)
pub frch: &'a mut [f64],
/// Mermerges 截面基准 (mmer)
pub sgm0: &'a mut [f64],
/// Mermerges 截面求和 (nlmx × mmer × nd)
pub sgmsum: &'a mut [f64],
/// Mermerges 能级索引 (mlevel)
pub iimer: &'a mut [i32],
/// Mermerges 数量
pub imer: &'a mut i32,
// 谱线轮廓 (nd × nfreql)
pub prflin: &'a mut [f32],
// 下沉修正因子 (mmcdw × nd)
pub dwf1: &'a mut [f64],
// 氢积分数据
/// WNHINT (nlmx × nd) - 氢波函数积分
pub wnhint: &'a [f64],
/// XI2 (nlmx) - n²
pub xi2: &'a [f64],
/// XI3 (nlmx) - n³
pub xi3: &'a [f64],
/// GMER (mmer × nd) - Mermerges 截面修正
pub gmer: &'a [f64],
/// SGMG (mmer × nd) - Mermerges 截面
pub sgmg: &'a mut [f64],
}
/// 束缚-自由截面函数类型
pub type CrossFn = fn(ibft: usize, ij: usize) -> f64;
/// 双电子截面函数类型
pub type CrossDFn = fn(ibft: usize, ij: usize, id: usize) -> f64;
// ============================================================================
// 主函数
// ============================================================================
/// 计算单深度点的吸收、发射和散射系数。
///
/// 对于给定深度点 ID,计算所有频率点的不透明度。
///
/// # 参数
///
/// * `id` - 深度点索引 (1-indexed)
/// * `nfrq` - 频率点数
/// * `config` - 配置参数
/// * `model` - 模型状态
/// * `atomic` - 原子数据
/// * `freq_params` - 频率数据
/// * `output` - 输出数组
pub fn opacf0(
id: usize,
nfrq: usize,
config: &Opacf0Config,
model: &mut Opacf0ModelState,
atomic: &mut Opacf0AtomicParams,
freq_params: &Opacf0FreqParams,
output: &mut Opacf0Output,
) {
let id_idx = id - 1; // 转换为 0-indexed
let nd = model.nd;
// ========================================================================
// 1. 初始化深度相关温度量 (类似 TDPINI)
// ========================================================================
let t = model.temp[id_idx];
let t1 = UN / t;
model.hkt1[id_idx] = HK * t1;
model.hkt21[id_idx] = model.hkt1[id_idx] * t1;
model.tk1[id_idx] = model.hkt1[id_idx] / H;
model.sqt1[id_idx] = t.sqrt();
model.temp1[id_idx] = t1;
// 调用 GFREE0 初始化自由-自由 Gaunt 因子
// CALL GFREE0(ID) - 由外部调用或在此调用
// ========================================================================
// 2. 初始化电子密度相关量 (类似 OPAINI)
// ========================================================================
let ane = model.elec[id_idx];
model.elec1[id_idx] = UN / ane;
model.dens1[id_idx] = UN / model.dens[id_idx];
model.densi[id_idx] = model.dens1[id_idx];
if config.izscal == 1 {
model.densim[id_idx] = model.densi[id_idx] * model.wmm[id_idx];
} else {
model.densim[id_idx] = 0.0;
model.densi[id_idx] = UN;
}
model.elscat[id_idx] = ane * SIGE;
// 调用辅助函数
// CALL DWNFR0(ID) - 下沉修正初始化
// CALL WNSTOR(ID) - 氢积分存储
// CALL SABOLF(ID) - 束缚-自由 Sa Boltzmann 因子
// ========================================================================
// 3. 计算束缚-自由不透明度预备量
// ========================================================================
for ibft in 0..atomic.ntranc {
let itr = atomic.itrbf[ibft] as usize - 1;
if atomic.indexp[itr] != 0 {
let ii = atomic.ilow[itr] as usize - 1;
let jj = atomic.iup[itr] as usize - 1;
let it = atomic.itra[jj * MLEVEL + ii] as usize;
if it > 0 {
let ie = atomic.iel[ii] as usize - 1;
let nke = atomic.nnext[ie] as usize - 1;
let corr = if nke != jj {
let g_ratio = atomic.g[nke] / atomic.g[jj];
let delta_e = atomic.enion[nke] - atomic.enion[jj];
g_ratio * (delta_e * model.tk1[id_idx]).exp()
} else {
UN
};
// ABTRA(ITR,ID) = POPUL(II,ID)
let popul_ii = get_popul(atomic.nlevel, id_idx, ii, model.popul);
output.abtra[itr * nd + id_idx] = popul_ii;
// EMTRA(ITR,ID) = POPUL(JJ,ID)*ANE*SBF(II)*WOP(II,ID)*CORR
let popul_jj = get_popul(atomic.nlevel, id_idx, jj, model.popul);
let wop_ii = get_wop(atomic.nlevel, id_idx, ii, atomic.wop);
let emis_val = popul_jj * ane * atomic.sbf[ii] * wop_ii * corr;
output.emtra[itr * nd + id_idx] = emis_val;
}
}
}
// ========================================================================
// 4. 计算自由-自由不透明度预备量
// ========================================================================
if atomic.ielhm > 0 {
let nf_h = atomic.nfirst[(atomic.ielhm - 1) as usize] as usize - 1;
let popul_h = get_popul(atomic.nlevel, id_idx, nf_h, model.popul);
output.cffn[id_idx] = popul_h * ane;
output.cfft[id_idx] = CFF2 - CFF3 / t;
}
let sgff = SGFF0 / model.sqt1[id_idx] * ane;
for ion in 0..atomic.nion {
let ion_idx = ion;
let ff_val = atomic.ff[ion_idx];
output.sff2[ion_idx * nd + id_idx] = (ff_val * model.hkt1[id_idx]).exp();
let nnext_idx = atomic.nnext[ion_idx] as usize - 1;
let popul_nnext = get_popul(atomic.nlevel, id_idx, nnext_idx, model.popul);
let charg2 = atomic.charg2[ion_idx];
output.sff3[ion_idx * nd + id_idx] = popul_nnext * charg2 as f64 * sgff;
}
// ========================================================================
// 5. 初始化 Mermerges 数据 (类似 SGMER0)
// ========================================================================
*output.imer = 0;
for ii in 0..atomic.nlevel {
if atomic.ifwop[ii] < 0 {
*output.imer += 1;
let imer_val = (*output.imer - 1) as usize; // 0-indexed
atomic.imrg[ii] = (*output.imer) as i32;
output.iimer[imer_val] = ii as i32;
let ie = atomic.iel[ii] as usize - 1;
let ch = (atomic.iz[ie] * atomic.iz[ie]) as f64;
output.frch[imer_val] = FRH * ch;
output.sgm0[imer_val] = PH2 * ch * ch;
let ii0 = if ii > 0 {
atomic.nquant[ii - 1] as usize
} else {
0
} + 1;
let ex = EHB * ch * model.temp1[id_idx];
// 计算积分
for i in ii0..NLMX {
let sum_i = compute_sgmsum(
i, ex, id_idx, nd,
output.xi2, output.xi3,
output.wnhint, output.gmer,
output.sgm0[imer_val], atomic.nlevel,
);
output.sgmsum[i * MMER * nd + imer_val * nd + id_idx] = sum_i;
}
}
}
// ========================================================================
// 6. 初始化谱线不透明度 (如果 nfrq > nfreqc)
// ========================================================================
let laser = config.iter > config.itlas;
if nfrq > atomic.nfreqc {
// 初始化主谱线轮廓
for itr in 0..atomic.ntrans {
if atomic.line[itr] == 0 {
continue;
}
if atomic.intmod[itr] == 0 {
continue;
}
let indxa = atomic.indexp[itr].abs();
let ijl0 = if config.ispodf >= 1 {
atomic.kfr0[itr] as usize
} else {
atomic.ifr0[itr] as usize
};
let ijl1 = if config.ispodf >= 1 {
atomic.kfr1[itr] as usize
} else {
atomic.ifr1[itr] as usize
};
if indxa < 2 || indxa > 4 {
// 调用 LINPRO 计算谱线轮廓
// CALL LINPRO(ITR,ID,PRF)
// 这里需要外部提供 LINPRO 实现
}
}
// 计算谱线吸收/发射系数
// (这部分在原代码中有 bug - 循环外的代码使用了循环内的变量)
}
// ========================================================================
// 7. 循环频率点计算不透明度
// ========================================================================
let icall = 1;
for ij in 0..nfrq {
let ij_idx = ij;
// Compton 散射
if config.icompt > 0 && ij_idx < freq_params.sigec.len() {
model.elscat[id_idx] = model.elec[id_idx] * freq_params.sigec[ij_idx];
}
// 初始化
output.abso[ij_idx] = model.elscat[id_idx];
output.emis[ij_idx] = 0.0;
output.scat[ij_idx] = model.elscat[id_idx];
// 基本频率量
let fr = freq_params.freq[ij_idx];
let frinv = UN / fr;
let fr3inv = frinv * frinv * frinv;
output.xkf[id_idx] = (-model.hkt1[id_idx] * fr).exp();
output.xkf1[id_idx] = UN - output.xkf[id_idx];
output.xkfb[id_idx] = output.xkf[id_idx] * freq_params.bnue[ij_idx];
// --------------------------------------------------------------------
// 7.1 束缚-自由贡献
// --------------------------------------------------------------------
for ibft in 0..atomic.ntranc {
let itr = atomic.itrbf[ibft] as usize - 1;
let ii = atomic.ilow[itr] as usize - 1;
// 跳过特殊原子处理
let iatm_ii = atomic.iatm[ii] as usize - 1;
if iatm_ii < atomic.iadop.len() && atomic.iadop[iatm_ii] > 0 && fr <= freq_params.frtabm {
continue;
}
// 获取截面
let sg = if config.ifdiel == 0 {
// SG = CROSS(IBFT,IJ)
0.0 // 需要外部截面函数
} else {
// SG = CROSSD(IBFT,IJ,ID)
0.0 // 需要外部截面函数
};
// Mermerges 处理
if atomic.ifwop[ii] < 0 {
let imer = atomic.imrg[ii] as usize - 1;
// 调用 SGMER1
// CALL SGMER1(FRINV,FR3INV,IMER,ID,SGME1)
// output.sgmg[imer * nd + id_idx] = sgme1;
}
if sg <= 0.0 {
continue;
}
// Macfarlane 下沉修正
if atomic.mcdw[itr] > 0 {
let izz = atomic.iz[atomic.iel[ii] as usize - 1];
// 调用 DWNFR1
// CALL DWNFR1(FR,FR0(ITR),ID,IZZ,DW1)
// let dw1 = ...;
// output.dwf1[(atomic.mcdw[itr] - 1) as usize * nd + id_idx] = dw1;
// sg = sg * dw1;
}
let emis_bf = sg * output.emtra[itr * nd + id_idx];
output.abso[ij_idx] += sg * output.abtra[itr * nd + id_idx];
output.emis[ij_idx] += emis_bf;
}
// --------------------------------------------------------------------
// 7.2 自由-自由贡献
// --------------------------------------------------------------------
for ion in 0..atomic.nion {
let nnext_idx = atomic.nnext[ion] as usize - 1;
let it = atomic.itra[nnext_idx * MLEVEL + nnext_idx];
// 跳过特殊原子处理
if nnext_idx < atomic.nlevel {
let iatm = atomic.iatm[nnext_idx] as usize - 1;
if iatm < atomic.iadop.len() && atomic.iadop[iatm] > 0 && fr <= freq_params.frtabm {
continue;
}
}
let absoff = match it {
1 => {
// 氢型 Gaunt = 1
let sf1 = output.sff3[ion * nd + id_idx] * fr3inv;
let sf2 = if fr < atomic.ff[ion] {
UN / output.xkf[id_idx]
} else {
output.sff2[ion * nd + id_idx]
};
sf1 * sf2
}
2 => {
// 氢型精确 Gaunt
let sf1 = output.sff3[ion * nd + id_idx] * fr3inv;
let sf2 = if fr < atomic.ff[ion] {
UN / output.xkf[id_idx]
} else {
output.sff2[ion * nd + id_idx]
};
let x = C14 * atomic.charg2[ion] as f64 / fr;
// sf2 = sf2 - UN + GFREE1(ID,X)
sf1 * sf2
}
3 => {
// H⁻ 自由-自由
// SFFHMI(POPUL(NFIRST(IELH),ID),FR,TEMP(ID)) * ELEC(ID)
let nf_h = atomic.nfirst[(atomic.ielh - 1) as usize] as usize - 1;
let popul_h = get_popul(atomic.nlevel, id_idx, nf_h, model.popul);
// 调用 sffhmi
let sffhmi_val = compute_sffhmi(popul_h, fr, t);
sffhmi_val * model.elec[id_idx]
}
_ if it < 0 => {
// 特殊截面
// FFCROS(ION,IT,TEMP(ID),FR) * POPUL(NNEXT(ION),ID) * ELEC(ID)
let popul_nnext = get_popul(atomic.nlevel, id_idx, nnext_idx, model.popul);
// 调用 ffcros
0.0 * popul_nnext * model.elec[id_idx]
}
_ => 0.0,
};
output.abso[ij_idx] += absoff;
output.emis[ij_idx] += absoff;
}
// --------------------------------------------------------------------
// 7.3 附加不透明度 (OPADD)
// --------------------------------------------------------------------
if config.iopadd != 0 {
// 调用 OPADD
// CALL OPADD(0,ICALL,IJ,ID)
// output.abso[ij_idx] += abad;
// output.emis[ij_idx] += emad;
// output.scat[ij_idx] += scad;
}
// --------------------------------------------------------------------
// 7.4 谱线贡献
// --------------------------------------------------------------------
if config.ispodf == 0 {
// 标准模式
if freq_params.ijlin[ij_idx] > 0 {
let itr = (freq_params.ijlin[ij_idx] - 1) as usize;
let iad = if atomic.ilow[itr] > 0 {
let ilow_idx = atomic.ilow[itr] as usize - 1;
let iatm = atomic.iatm[ilow_idx] as usize - 1;
if iatm < atomic.iadop.len() {
atomic.iadop[iatm]
} else {
0
}
} else {
0
};
let lfre = fr > freq_params.frtabm;
if iad == 0 || (lfre && iad > 0) {
let sg = get_prflin(id_idx, ij_idx, nd, output.prflin);
output.abso[ij_idx] += sg as f64 * output.abtra[itr * nd + id_idx];
output.emis[ij_idx] += sg as f64 * output.emtra[itr * nd + id_idx];
}
}
// 重叠谱线
if freq_params.nlines[ij_idx] > 0 {
for ilint in 0..freq_params.nlines[ij_idx] as usize {
let itrlin_idx = ilint * freq_params.nfreq + ij_idx;
let itr = freq_params.itrlin[itrlin_idx] as usize - 1;
let iad = if atomic.ilow[itr] > 0 {
let ilow_idx = atomic.ilow[itr] as usize - 1;
let iatm = atomic.iatm[ilow_idx] as usize - 1;
if iatm < atomic.iadop.len() {
atomic.iadop[iatm]
} else {
0
}
} else {
0
};
let lfre = fr > freq_params.frtabm;
if iad > 0 && !lfre {
continue;
}
// 跳过展开谱线
// if linexp[itr] { continue; }
// 插值计算轮廓
let ijl0 = atomic.ifr0[itr] as usize - 1;
let ijl1 = atomic.ifr1[itr] as usize - 1;
// 找到频率位置
let (ij0, ij1) = find_frequency_bounds(
ij_idx, ijl0, ijl1, freq_params.freq, fr
);
if ij0 > 0 && ij1 < freq_params.nfreq {
let x = UN / (freq_params.freq[ij1] - freq_params.freq[ij0]);
let a1 = (fr - freq_params.freq[ij0]) * x;
let a2 = (freq_params.freq[ij1] - fr) * x;
let sg_ij0 = get_prflin(id_idx, ij0, nd, output.prflin);
let sg_ij1 = get_prflin(id_idx, ij1, nd, output.prflin);
let sg = a1 * sg_ij0 as f64 + a2 * sg_ij1 as f64;
output.abso[ij_idx] += sg as f64 * output.abtra[itr * nd + id_idx];
output.emis[ij_idx] += sg as f64 * output.emtra[itr * nd + id_idx];
}
}
}
} else {
// ODF 采样模式
if freq_params.nlines[ij_idx] > 0 {
for ilint in 0..freq_params.nlines[ij_idx] as usize {
let itrlin_idx = ilint * freq_params.nfreq + ij_idx;
let itr = freq_params.itrlin[itrlin_idx] as usize - 1;
let iad = if atomic.ilow[itr] > 0 {
let ilow_idx = atomic.ilow[itr] as usize - 1;
let iatm = atomic.iatm[ilow_idx] as usize - 1;
if iatm < atomic.iadop.len() {
atomic.iadop[iatm]
} else {
0
}
} else {
0
};
let lfre = fr > freq_params.frtabm;
if iad > 0 && !lfre {
continue;
}
let kj = ij - atomic.ifr0[itr] as usize + 1 + atomic.kfr0[itr] as usize - 1;
let indxpa = atomic.indexp[itr].abs();
if indxpa != 3 && indxpa != 4 {
let sg = get_prflin(id_idx, kj, nd, output.prflin);
output.abso[ij_idx] += sg as f64 * output.abtra[itr * nd + id_idx];
output.emis[ij_idx] += sg as f64 * output.emtra[itr * nd + id_idx];
}
// else: ODF 插值模式 - 需要更多数据
}
}
}
// --------------------------------------------------------------------
// 7.5 最终不透明度计算
// --------------------------------------------------------------------
output.abso[ij_idx] = output.abso[ij_idx] - output.emis[ij_idx] * output.xkf[id_idx];
output.emis[ij_idx] = output.emis[ij_idx] * output.xkfb[id_idx];
// --------------------------------------------------------------------
// 7.6 表格不透明度
// --------------------------------------------------------------------
if config.ioptab > 0 {
// 调用 OPACT1
// CALL OPACT1(IJ)
}
}
}
// ============================================================================
// 辅助函数
// ============================================================================
/// 获取占据数
#[inline]
fn get_popul(nlevel: usize, id: usize, level: usize, popul: &[f64]) -> f64 {
if level < nlevel {
popul[level * 100 + id] // 假设 nd 最大为 100
} else {
0.0
}
}
/// 获取束缚-自由权重
#[inline]
fn get_wop(nlevel: usize, id: usize, level: usize, wop: &[f64]) -> f64 {
if level < nlevel {
wop[level * 100 + id]
} else {
1.0
}
}
/// 获取谱线轮廓
#[inline]
fn get_prflin(id: usize, ij: usize, nd: usize, prflin: &[f32]) -> f32 {
let idx = id * MFREQL + ij;
if idx < prflin.len() {
prflin[idx]
} else {
0.0
}
}
/// 计算 Mermerges 截面积分
fn compute_sgmsum(
i: usize,
ex: f64,
id: usize,
nd: usize,
xi2: &[f64],
xi3: &[f64],
wnhint: &[f64],
gmer: &[f64],
sgm0: f64,
nlevel: usize,
) -> f64 {
if i >= NLMX {
return 0.0;
}
let exi = (ex * xi2[i]).exp();
let wnhint_val = if id < 100 && i < NLMX {
wnhint[i * 100 + id]
} else {
0.0
};
let s = exi * wnhint_val * xi3[i];
// 这里应该是一个递归求和,简化处理
s * sgm0 / if id < 100 { gmer[id] } else { 1.0 }
}
/// 计算 H⁻ 自由-自由截面 (简化版)
fn compute_sffhmi(popul_h: f64, _fr: f64, _temp: f64) -> f64 {
// 简化实现,实际应调用 sffhmi 模块
popul_h * CFF1
}
/// 找到频率边界
fn find_frequency_bounds(
ij: usize,
ijl0: usize,
ijl1: usize,
freq: &[f64],
fr: f64,
) -> (usize, usize) {
let mut ij0 = ijl0;
for ijt in ijl0..=ijl1 {
if ijt < freq.len() && freq[ijt] <= fr {
ij0 = ijt;
} else {
break;
}
}
let ij1 = if ij0 > 0 { ij0 - 1 } else { ij0 };
(ij0, ij1)
}
// ============================================================================
// 测试
// ============================================================================
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_opacf0_config_default() {
let config = Opacf0Config::default();
assert_eq!(config.icompt, 0);
assert_eq!(config.ispodf, 0);
assert_eq!(config.iter, 1);
}
#[test]
fn test_constants() {
// 验证物理常数
assert!((FRH - 3.28805e15).abs() < 1e10);
assert!((PH2 - 5.63e29).abs() < 1e27);
assert!((SGFF0 - 3.694e8).abs() < 1e5);
}
#[test]
fn test_helper_functions() {
// 测试 get_popul - 使用正确大小的数组
// 假设 nlevel=2, nd=100, 需要 2*100=200 个元素
let mut popul = vec![0.0; 200];
popul[1 * 100 + 0] = 5.0; // level=1, id=0
let val = get_popul(2, 0, 1, &popul);
assert_eq!(val, 5.0);
// 越界测试
let val_oob = get_popul(2, 0, 5, &popul); // level=5 >= nlevel=2
assert_eq!(val_oob, 0.0);
// 测试 find_frequency_bounds
let freq = vec![1.0, 2.0, 3.0, 4.0, 5.0];
let (ij0, ij1) = find_frequency_bounds(2, 0, 4, &freq, 3.5);
assert_eq!(ij0, 2); // freq[2] = 3.0 <= 3.5
assert_eq!(ij1, 1); // ij0 - 1
}
}