标题： 旋转有效到逆向单体（$\texttt{SEBOB}$）：将有效单体旋进和逆向单体合并-衰减结合用于对齐自旋的黑洞双星 显示英文标题

标题： Spinning Effective-to-Backwards One Body ($\texttt{SEBOB}$): combining Effective One-Body inspirals and Backwards One-Body merger-ringdowns for aligned spin black hole binaries

摘要： 高保真引力波模型对于实现下一代引力波观测站的科学潜力至关重要。 虽然高度准确，但最先进的模型通常依赖于对数值相对论（NR）模拟的广泛现象校准，以处理晚期 inspiral 和合并阶段，这可能会限制物理洞察力，并限制在 NR 数据稀疏区域的外推。 为了解决这个问题，我们引入了自旋有效-反向单体（SEBOB）形式，这是一种混合方法，结合了已建立的有效单体（EOB）框架与解析驱动的反向单体（BOB）模型，该模型从第一性原理描述合并-环降作为最终残余黑洞的扰动。 我们提出了两种变体，基于最先进的$\texttt{SEOBNRv5HM}$模型：$\texttt{seobnrv5_nrnqc_bob}$，它保留标准 NR 校准的非准圆（NQC）修正，并附加一个基于 BOB 的合并-环降；以及一个更具雄心的变体，$\texttt{seobnrv5_bob}$，它也使用 BOB 来提供 NQC 修正，从而减少对 NR 拟合的依赖，并通过构建实现更高阶（$\mathcal{C}^2$）连续性。 在用于优化 C 代码生成的开源$\texttt{NRPy}$框架中实现，SEBOB 模型是透明、可扩展且计算高效的。 通过将我们的波形与大量 NR 模拟目录进行比较，我们证明 SEBOB 的精度可与高度校准的$\texttt{SEOBNRv5HM}$模型相媲美，为更物理驱动和稳健的波形模型提供了一条可行的途径。 显示英文摘要

摘要： High-fidelity gravitational waveform models are essential for realizing the scientific potential of next-generation gravitational-wave observatories. While highly accurate, state-of-the-art models often rely on extensive phenomenological calibrations to numerical relativity (NR) simulations for the late-inspiral and merger phases, which can limit physical insight and extrapolation to regions where NR data is sparse. To address this, we introduce the Spinning Effective-to-Backwards One Body (SEBOB) formalism, a hybrid approach that combines the well-established Effective-One-Body (EOB) framework with the analytically-driven Backwards-One-Body (BOB) model, which describes the merger-ringdown from first principles as a perturbation of the final remnant black hole. We present two variants building on the state-of-the-art $\texttt{SEOBNRv5HM}$ model: $\texttt{seobnrv5_nrnqc_bob}$, which retains standard NR-calibrated non-quasi-circular (NQC) corrections and attaches a BOB-based merger-ringdown; and a more ambitious variant, $\texttt{seobnrv5_bob}$, which uses BOB to also inform the NQC corrections, thereby reducing reliance on NR fitting and enabling higher-order ($\mathcal{C}^2$) continuity by construction. Implemented in the open-source $\texttt{NRPy}$ framework for optimized C-code generation, the SEBOB model is transparent, extensible, and computationally efficient. By comparing our waveforms to a large catalog of NR simulations, we demonstrate that SEBOB yields accuracies comparable to the highly-calibrated $\texttt{SEOBNRv5HM}$ model, providing a viable pathway towards more physically motivated and robust waveform models