标题： BAYES-LOSVD：一种用于提取星系视线速度分布的非参数化贝叶斯框架 显示英文标题

标题： BAYES-LOSVD: a bayesian framework for non-parametric extraction of the line-of-sight velocity distribution of galaxies

摘要： 我们介绍了BAYES-LOSVD，这是一种新颖的非参数提取星系视线速度分布（LOSVD）的方法实现。 我们采用贝叶斯推理来获得稳健的LOSVD及其相关的不确定性。 我们的方法依赖于主成分分析以减少提取所需的模板基底的维度，从而提高代码的性能。 此外，我们还实现了多种选项来正则化输出解。 我们在模拟光谱上的测试验证了我们方法能够建模广泛的LOSVD形状，克服了最广泛使用的参数方法（例如高斯-埃尔米特展开）的局限性。 我们展示了使用MUSE和SAURON积分视场单元（IFU）数据从真实星系（即已知具有特殊LOSVD形状的星系，如NGC4371、IC0719和NGC4550）中提取LOSVD的例子。 我们的实现也可以处理来自其他流行IFU巡天的数据（例如ATLAS3D、CALIFA、MaNGA、SAMI）。 代码的详细信息及相关文档已免费提供给社区，可在专用存储库中获取。 显示英文摘要

摘要： We introduce BAYES-LOSVD, a novel implementation of the non-parametric extraction of line-of-sight velocity distributions (LOSVDs) in galaxies. We employ bayesian inference to obtain robust LOSVDs and associated uncertainties. Our method relies on principal component analysis to reduce the dimensionality of the base of templates required for the extraction and thus increase the performance of the code. In addition, we implement several options to regularise the output solutions. Our tests, conducted on mock spectra, confirm the ability of our approach to model a wide range of LOSVD shapes, overcoming limitations of the most widely used parametric methods (e.g. Gauss-Hermite expansion). We present examples of LOSVD extractions for real galaxies with known peculiar LOSVD shapes, i.e. NGC4371, IC0719 and NGC4550, using MUSE and SAURON integral-field unit (IFU) data. Our implementation can also handle data from other popular IFU surveys (e.g. ATLAS3D, CALIFA, MaNGA, SAMI). Details of the code and relevant documentation are freely available to the community in the dedicated repositories.