AI 中文总结
研究在LIGO O4a中对新型仪器故障进行无监督搜索，通过多尺度几何框架增强形态学灵敏度，引入块引导域转移防御及物理环境监测互相关防御，给出新型未编目仪器形态发生率上限，强调背景校准和物理否决的必要性。
AI 中文摘要
先进LIGO、Virgo和KAGRA的第四次观测运行（O4）具有前所未有的灵敏度，使得无监督管道极易受到探测器噪声流形的非平稳域转移影响。我们展示了DANTE V3，它完成了对O4a早期未建模异常的纵向研究。通过扩展到多尺度几何框架（0.5秒至4.0秒），增强了形态学灵敏度，提取了10372个独特候选者。为减轻域转移伪影，引入了针对向量量化原生背景索引的块引导域转移防御（DSD）。虽28.3%的候选者在重新校准后幸存，但全局拓扑分析表明它们缺乏离散形态凝聚性。通过使用经验校准的零值进行确定性物理环境监测（PEM）互相关防御，一个候选者因控制线耦合被否决，另一个作为未编目的仪器异常幸存。用物理归一化互相关测试取代嵌入相似性跨探测器符合测试，在8749个候选者中未发现符合事件。我们给出了新型未编目仪器形态发生率的90%频率主义泊松上限——$R_{90} \le 5.83 \mathrm{yr}^{-1}$（H1）和$R_{90} \le 5.63 \mathrm{yr}^{-1}$（L1）。这强调了在无监督引力波天文学中进行原生背景重新校准和物理辅助否决的绝对必要性。
英文摘要
The fourth observing run (O4) of Advanced LIGO, Virgo, and KAGRA presents unparalleled sensitivity, rendering unsupervised pipelines highly vulnerable to the non-stationary domain shift of the detectors' noise manifolds. We present DANTE V3, concluding a longitudinal investigation into unmodeled anomalies during early O4a. By expanding to a multi-scale geometric framework (0.5 s to 4.0 s), we amplify morphological sensitivity, extracting 10,372 unique candidates. To mitigate domain-shift artifacts, we introduce a block-bootstrap Domain Shift Defense (DSD) against a vector-quantized native background index. While 28.3% of candidates survive recalibration, global topological analysis reveals they lack discrete morphological cohesion. The survivors coalesce into a single macro-cluster without compact substructure; we show explicitly that morphological "diffusivity" comparisons used previously are confounded and retire them. Pristine background is even more monolithic (100% in one cluster vs 99.77% for survivors): this topology is a property of the embedding geometry, not of anomaly status. Executing a definitive physical environment monitoring (PEM) cross-correlation defense using an empirically calibrated null, one singleton is vetoed by a control-line coupling, while another survives as an uncatalogued instrumental outlier. Replacing the embedding-similarity cross-detector coincidence test with a physical normalized cross-correlation test, we find no coincident events among 8,749 candidates. We quote 90% frequentist Poisson upper limits on the rate of novel uncatalogued instrumental morphologies --- $R_{90} \le 5.83 \mathrm{yr}^{-1}$ (H1) and $R_{90} \le 5.63 \mathrm{yr}^{-1}$ (L1). This underscores the absolute necessity of native background recalibration and physical auxiliary vetoes in unsupervised gravitational-wave astronomy.
Comments20 pages, 14 images, 8 tables, pipeline: https://github.com/lucacirfeta/dante-gravi-signal-ml
