pySEOBNR：用于下一代有效的单体多极波形模型的软件包

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-05-01 DOI:10.1016/j.softx.2025.102080

Deyan P. Mihaylov , Serguei Ossokine , Alessandra Buonanno , Hector Estelles , Lorenzo Pompili , Michael Pürrer , Antoni Ramos-Buades

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引用次数: 0

摘要

我们提出了pySEOBNR，一个Python包引力波（GW）建模在有效一体（EOB）的形式主义中开发。该软件包包含一个广泛的框架，用于为由黑洞和中子星组成的紧凑天体双星生成最先进的激励合并环降波形模型。我们记录并演示了如何使用内置的准圆进动自旋模型SEOBNRv5PHM，其对齐自旋极限（SEOBNRv5HM）已被校准为数值相对论模拟，非自旋扇区已被校准为重力自力数据。此外，pySEOBNR包含在EOB方法中构建、校准、测试和配置新波形模型所需的基础设施。pySEOBNR的效率和灵活性对于克服即将到来的下一代地面和太空GW探测器带来的数据分析挑战至关重要，这将提供观测宇宙中所有致密天体双星的可能性。

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pySEOBNR: A software package for the next generation of effective-one-body multipolar waveform models

We present pySEOBNR, a Python package for gravitational-wave (GW) modeling developed within the effective-one-body (EOB) formalism. The package contains an extensive framework to generate state-of-the-art inspiral-merger-ringdown waveform models for compact-object binaries composed of black holes and neutron stars. We document and demonstrate how to use the built-in quasi-circular precessing-spin model SEOBNRv5PHM, whose aligned-spin limit (SEOBNRv5HM) has been calibrated to numerical-relativity simulations and the nonspinning sector to gravitational self-force data using pySEOBNR. Furthermore, pySEOBNR contains the infrastructure necessary to construct, calibrate, test, and profile new waveform models in the EOB approach. The efficiency and flexibility of pySEOBNR will be crucial to overcome the data-analysis challenges posed by upcoming and next-generation GW detectors on the ground and in space, which will afford the possibility to observe all compact-object binaries in our Universe.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.