DMS-EPSRC Collaborative Research: Advancing Statistical Foundations and Frontiers from and for Emerging Astronomical Data Challenges
DMS-EPSRC Collaborative Research: Advancing Statistical Foundations and Frontiers from and for Emerging Astronomical Data Challenges
批准号:
EP/W015080/1
负责人:
David Van Dyk
金额:
$34.75万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --
中文摘要
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英文摘要
Statistical theory and methods play a fundamental role in scientific discovery and advancement, including in modern astronomy, where data are collected on increasingly massive scales and with more varieties and complexity. New technology and instrumentation are spawning a diverse array of emerging data types and data analytic challenges, which in turn require and inspire ever more innovative statistical methods and theories. This proposal is guided by the dual aims of advancing statistical foundations and frontiers, motivated by astronomical problems and providing principled data analytic solutions to challenges in astronomy. The CHASC International Center for Astrostatistics has an extensive track record in accomplishing both tasks. This NSF-EPSRC project leverages CHASC's track record to make progress in several new projects. Fitting sophisticated astrophysical models to complex data that were collected with high-tech instruments, for example, often involves a sequence of statistical analyses. Several UK-led projects center on developing new statistical methods that properly account for errors and carry uncertainty forward within such sequences of analyses. Additional US-led work will focus on developing theoretical properties of novel statistical estimation procedures to address data-analytic challenges associated with solar flares and X-ray observations. Other US-led projects involve fast and automatic detection of astronomical objects such as galaxies from 2D or even 4D data. The PIs will develop statistical theory and methods in the context of these projects, building statistical foundations and pushing the frontiers of statistics forward for broad impact that will extend well beyond astrostatistics. The PIs plan to offer effective methods and algorithms for tackling emerging challenges in astronomy, with the aspiration of promoting such principled data-analytic methods among researchers in astronomy. Its provision of free software via the CHASC GitHub Software Library will enable the distribution and impact of the proposed methods and algorithms.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1002/sam.11643
发表时间:
2021-06
期刊:
Statistical Analysis and Data Mining: The ASA Data Science Journal
影响因子:
--
作者:
[Maximilian Autenrieth;D. V. Dyk;R. Trotta;D. Stenning]
通讯作者:
Maximilian Autenrieth;D. V. Dyk;R. Trotta;D. Stenning
TD-CARMA: Painless, Accurate, and Scalable Estimates of Gravitational Lens Time Delays with Flexible CARMA Processes
TD-CARMA:通过灵活的 CARMA 流程对引力透镜时间延迟进行无痛、准确且可扩展的估计
DOI:
10.3847/1538-4357/acbea1
发表时间:
2023
期刊:
The Astrophysical Journal
影响因子:
--
作者:
[Meyer A]
通讯作者:
Meyer A
Identifying Diffuse Spatial Structures in High-energy Photon Lists
识别高能光子列表中的漫射空间结构
DOI:
10.3847/1538-3881/aca478
发表时间:
2023
期刊:
The Astronomical Journal
影响因子:
--
作者:
[Fan, Minjie, Wang, Jue, Kashyap, Vinay L., Lee, Thomas C. M., van Dyk, David A., Zezas, Andreas]
通讯作者:
Zezas, Andreas
Maths Research Associates 2021 ICL
-
批准号:EP/W522673/1
-
项目类别:Research Grant
-
资助金额:$50.97万
-
财政年份:2021
-
负责人:David Van Dyk
-
依托单位:
海外基金