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 $A_a (z) \equiv \sigma_{8}(z) \, b_a (z)$, $R(z) \equiv \sigma_{8}(z) \, f(z)$, $L(z) \equiv \Omega_{m} \, \sigma_{8}(z) \, \Sigma (z)$ 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.

中文翻译：

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Fisher 星系调查准则 (FARO)

Fisher 星系 suRvey 代码 ($\texttt{FARO}$) 是一个新的公共 Python 代码，用于计算星系调查观测值的 Fisher 矩阵。所考虑的观测值是线性多示踪 3D 星系功率谱、弱透镜的线性会聚功率谱以及星系分布和会聚之间相关性的线性多示踪功率谱。该代码允许进行断层扫描和模型独立分析，其中，对于尺度独立增长，以下红移函数 $A_a (z) \equiv \sigma_{8}(z) \, b_a (z)$, $R( z) \equiv \sigma_{8}(z) \, f(z)$, $L(z) \equiv \Omega_{m} \, \sigma_{8}(z) \, \Sigma (z)$和$E(z) \equiv H(z)/H_0$，连同尺度函数$\hat{P}(k)$，分别作为每个红移和尺度仓的自由参数。此外，提供了一个用于更改变量的模块，以将 Fisher 矩阵投影到所需的任何特定参数集上。该代码的构建速度尽可能快且对用户友好。作为一个应用示例，我们预测了未来星系调查（如 DESI、Euclid、J-PAS 和 LSST）的灵敏度，并比较了它们在不同红移和尺度范围上的性能。