基于Nesterov-Kaczmarz方法的河外考古中恒星人口运动分布重建

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-02-07 DOI:10.1137/22m1503002
Fabian Hinterer, Simon Hubmer, Prashin Jethwa, Kirk M. Soodhalter, Glenn van de Ven, Ronny Ramlau
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引用次数: 2

摘要

本文考虑从光学积分场单位测量中重建星系恒星群-运动分布函数的问题。这些量通过一个高维积分方程联系起来。为了解决这一问题,我们提出了一种投影Nesterov-Kaczmarz重建方法,该方法有效地利用了问题的结构,并结合了平滑性和非负性约束等物理先验信息。为了测试我们的重建方法的性能,我们将其应用于已知地面真值密度模拟的数据集,并通过将我们的恢复与广泛使用的pPXF软件获得的恢复进行比较来验证它。
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A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology
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 method, which efficiently leverages the problem structure and incorporates physical prior information such as smoothness and nonnegativity 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.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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