Fisher gAlaxy suRvey cOde（$\texttt{FARO}$）
The Fisher gAlaxy suRvey cOde ($\texttt{FARO}$)
摘要：
Fisher gAlaxy suRvey cOde（$\texttt{FARO}$）是一个新的公共Python代码，用于计算星系巡天观测的Fisher矩阵。被认为是线性multitracer三维星系功率谱，弱透镜的线性收敛功率谱，和线性multitracer功率谱星系分布和收敛之间的相关性。该代码允许层析成像和模型无关的分析，其中，对于尺度无关的增长，红移$A_a (z) \equiv σ_{8}(z) \, b_a (z)$，$R(z) \equiv σ_{8}(z) \, f(z)$，$L(z) \equiv Ω_{m} \, σ_{8}(z) \, Σ(z)$和$E(z) \equiv H(z)/H_0$的以下函数，以及尺度函数$\hat{P}(k)$，分别作为每个红移和尺度箱中的自由参数。此外，还提供了一个变量变更模块，用于将Fisher矩阵投影到所需的任何特定参数集上。代码被构建为尽可能快和用户友好。作为一个应用实例，我们预测了未来星系巡天的灵敏度，如DESI，Euclid，J-PAS和LSST，并比较了它们在不同红移和尺度范围内的性能。
英文摘要：
The Fisher gAlaxy suRvey cOde ($\texttt{FARO}$) is a new public Python code that computes the Fisher matrix for galaxy surveys observables. The observables considered are the linear multitracer 3D galaxy power spectrum, the linear convergence power spectrum for weak lensing, and the linear multitracer power spectrum for the correlation between galaxy distribution and convergence. The code allows for tomographic and model-independent analysis in which, for scale-independent growth, the following functions of redshift $A_a (z) \equiv σ_{8}(z) \, b_a (z)$, $R(z) \equiv σ_{8}(z) \, f(z)$, $L(z) \equiv Ω_{m} \, σ_{8}(z) \, Σ(z)$ and $E(z) \equiv H(z)/H_0$, together with the function of scale $\hat{P}(k)$, are taken as free parameters in each redshift and scale bins respectively. In addition, a module for change of variables is provided to project the Fisher matrix on any particular set of parameters required. The code is built to be as fast as possible and user-friendly. As an application example, we forecast the sensitivity of future galaxy surveys like DESI, Euclid, J-PAS and LSST and compare their performance on different redshift and scale ranges.
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。
