论文标题
预计的Nesterov-kaczmarz方法，用于辉煌的人口基因分布重建
A projected Nesterov-Kaczmarz approach to stellar population-kinematic distribution reconstruction in Extragalactic Archaeology
论文作者
论文摘要
在本文中，我们考虑了从光学整体场单元测量中重建星系的恒星种群基因分布函数的问题。这些数量通过高维积分方程连接。为了解决这个问题，我们提出了一种预计的Nesterov-Kaczmarz重建（PNKR）方法，该方法有效地利用了问题结构并结合了物理先验信息，例如平滑度和非阴性约束。为了测试我们的重建方法的性能，我们将其应用于模拟的数据集中，并通过将我们的恢复性与广泛使用的PPXF软件获得的恢复进行比较来验证它。
In this paper, we consider the problem of reconstructing a galaxy's stellar population-kinematic distribution function from optical integral field unit measurements. These quantities are connected via a high-dimensional integral equation. To solve this problem, we propose a projected Nesterov-Kaczmarz reconstruction (PNKR) method, which efficiently leverages the problem structure and incorporates physical prior information such as smoothness and non-negativity constraints. To test the performance of our reconstruction approach, we apply it to a dataset simulated from a known ground truth density, and validate it by comparing our recoveries to those obtained by the widely used pPXF software.
