AI 中文总结
本研究利用NEOWISE数据结合AKARI、SDSS验证，分析102个小行星族的反照率结构，建立双峰性探测限，发现多数表观成分趋势源于测量误差与选择偏差，为NEOWISE反照率的成分推断提供统计标准。
AI 中文摘要
将小行星族的反照率分布解释为成分特征，需要区分固有结构与极少被量化的测量伪影。我们利用NEOWISE数据结合AKARI交叉验证和基于SDSS的测光检查，分析了102个小行星族，建立了双峰性的探测限并量化了大小-反照率相关性中的选择偏差。我们主要在对数反照率空间（log₁₀ pV）中开展研究，该空间能更准确地分辨成分混合族特有的不对称暗/亮混合。NEOWISE反照率以误差为主：测量不确定性与观测离散度相当（对数空间中中位数sig_obs/sig_err≈0.99）。对1498颗匹配小行星的AKARI交叉验证证实NEOWISE测量总体可靠（斜率=1.03，R²=0.76，中位数|dpV|=0.015），且存在已知的依赖光谱型的+11%偏移。在102个族中，有6个（5.9%）符合保守标准的真实双峰性；两个最可靠的探测（Nysa-Polana、Juno）在线性和对数反照率中均被检出，其余四个仅在对数空间中被检出。蒙特卡洛模拟显示，对于族中存在的固有离散度，特征分离度（dμ≈0.64 dex）下的暗/亮双峰性有很高概率被检出，因此低比例反映了真实的成分同质性而非灵敏度有限。大小-反照率相关性主要反映限星选择偏差：63个族中仅2个通过了直径限控制。这些结果表明，当前不确定性范围内，族级NEOWISE分析中许多表观成分趋势与测量离散度和选择效应在统计上无法区分。我们的探测限和偏差测试为判断NEOWISE族反照率的成分推断何时具有统计合理性提供了定量标准。
英文摘要
Interpreting asteroid family albedo distributions as compositional signatures requires distinguishing intrinsic structure from measurement artifacts, rarely quantified. We analyze 102 families using NEOWISE data with AKARI cross-validation and SDSS-based photometric checks, establishing detection limits for bimodality and quantifying selection bias in size-albedo correlations. We work primarily in logarithmic albedo space (log10 pV), which more accurately resolves the asymmetric dark/bright mixtures characteristic of compositionally mixed families. NEOWISE albedos are error-dominated: measurement uncertainties rival observed spreads (median sig_obs/sig_err ~ 0.99 in log space). AKARI cross-validation on 1,498 matched asteroids confirms NEOWISE measurements broadly (slope = 1.03, R^2 = 0.76, median |dpV| = 0.015), with a known spectral-type-dependent offset of +11%. Genuine bimodality meeting conservative criteria is found in 6 of 102 families (5.9%); the two most secure detections (Nysa-Polana, Juno) are recovered in both linear and logarithmic albedo, the other four only in log. Monte Carlo simulations show that a dark/bright bimodality at the characteristic separation (dmu ~ 0.64 dex) is recovered with high probability for the intrinsic scatter present in the families, so the low rate reflects genuine compositional homogeneity rather than limited sensitivity. Size-albedo correlations largely reflect magnitude-limited selection bias: only 2 of 63 families survive diameter-limited controls. These results indicate that many apparent compositional trends in family-level NEOWISE analyses are statistically indistinguishable from measurement scatter and selection effects within current uncertainties. Our detection limits and bias tests provide quantitative criteria for deciding when compositional inferences from NEOWISE family albedos are statistically defensible.
Comments21 pages, 8 figures and 16 tables accepted for publication in Icarus
