GrayHawk v2：虫洞与数值扩展
$\tt GrayHawk$ $\tt v2$: wormholes and numeric extension
AI总结：
本文介绍了基于Mathematica的工具GrayHawk的第二版，通过数值计算乌龟坐标积分和扩展虫洞散射问题，增强了其处理多种度规的能力。
摘要：
我们扩展了公开可用的基于Mathematica的工具GrayHawk的功能。第二版在两个不同且不相关的方向上扩大了可考虑的度规范围。首先，它实现了乌龟坐标积分的完全数值计算，使用户能够处理许多解析计算不切实际的度规。其次，它将散射问题扩展到虫洞解。丰富了预加载度规的池，以便立即测试新功能，并保持了代码的模块化结构以便于修改。这一实现证明了GrayHawk的适应性，使其成为研究黑洞、虫洞、霍金辐射以及其他涉及弯曲流形上场传播特性的更强大工具。本文描述的代码可在https://github.com/marcocalza89/GrayHawk-v2公开获取。
英文摘要：
We enlarged the capabilities of the publicly available Mathematica-based tool $\tt GrayHawk$. This second version expands the spectrum of metrics that can be considered in two distinct and disjoined directions. First, it enables a fully numerical computation of the tortoise coordinates integral, allowing the user to account for many metrics for which an analytic computation was impractical. Second, it extends the scattering problem to wormhole solutions. The pool of pre-loaded metrics is enriched, enabling immediate testing of the new features, and the code's modular structure is maintained to facilitate easy modification. This implementation proves $\tt GrayHawk$ adaptability and makes it an even more powerful tool for studying black holes, wormholes, Hawking radiation, and other features involving field propagation on curved manifolds. The codes described in this work are publicly available at \href{https://github.com/marcocalza89/GrayHawk-v2}{\faGithub}.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
