Collaborative Research: California-Hawaii Astrophysics Mentoring Partnership (CHAMP)

合作研究：加州-夏威夷天体物理学指导合作伙伴关系 (CHAMP)

• 批准号: 2319553
• 负责人: Bahram Mobasher
• 金额: $ 42.49万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2319553&HistoricalAwards=false
• 关键词: Collaborative; Research; California; Hawaii; Astrophysics

The California-Hawaii Astrophysics Mentoring Partnership (CHAMP) is a program between the University of California Riverside (UCR), a minority serving institution, and the University of Hawaii (UH), Institute for Astronomy (IfA). CHAMP is designed to build on years of successful partnership between these two institutions to share their existing facilities and infrastructures, with the goal of building a partnership to address the 2022 Decadal Survey recommendations for Astronomy & Astrophysics. The UH-IfA has extensive access to ground-based telescopes (~15% of the observing time on all large telescopes on Mauna Kea - Keck, Gemini, Subaru, CFHT, UKIRT), with experience in observing techniques, data processing and reduction. UCR has significant expertise in data science, machine learning, data visualization, data cataloging, STEM education, and outreach. CHAMP will use this combined expertise to develop a research, education, and outreach program targeting both undergraduate and graduate students in the two partner institutions. CHAMP will particularly focus on the under-represented minority groups in astronomy, including Native Hawaiians and Pacific Islanders, Hispanics and women. CHAMP will also organize summer camps in astronomy for high school students, introducing them to coding with Python and data science techniques. Using the telescopes at UCR observatory in Joshua Tree National Park and at Mauna Kea, Hawaii, CHAMP will organize hands-on and remote stargazing nights for the public. The focus of the broader impact will be Native Hawaiians and Pacific Islanders at IfA and the Latino and Hispanic community at UCR. UH-IfA and UCR have played a major role in creating two of the largest and deepest ground-based multi-wavelength galaxy surveys - COSMOS2020 and Hawaii-Two0 (H20). CHAMP will use these surveys to address major scientific questions in Galaxy Evolution and Cosmology and to develop research and training programs for undergraduate and graduate students who will visit the partner institutions to receive training and perform research under a faculty member. The program will last for 10 weeks each year for both undergraduate and graduate students. UCR students will gain hands-on observing experience and UH-IfA students will learn about data science and machine learning techniques and their application to astronomy. CHAMP will also develop two new courses to be delivered at both institutions: “Tools in Modern Astronomy” to teach basic skills in measurement of photometric redshifts, galaxy mass, extinction, star-formation rates; use of stellar population synthesis algorithms, and “Machine Learning for Astronomers” by adapting and building on an existing undergraduate course at UCR.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

加州-夏威夷天体物理学指导伙伴关系（CHAMP）是加州大学滨江（UCR）和夏威夷大学天文学研究所（IfA）之间的一个计划。CHAMP旨在建立这两个机构之间多年的成功合作伙伴关系，以共享其现有的设施和基础设施，目标是建立合作伙伴关系，以解决2022年天文天体物理十年调查建议。UH-IfA可以广泛使用地面望远镜（约占莫纳克亚-凯克、双子座、斯巴鲁、CFHT、UKIRT上所有大型望远镜观测时间的15%），在观测技术、数据处理和简化方面具有经验。UCR在数据科学、机器学习、数据可视化、数据编目、STEM教育和外展方面拥有丰富的专业知识。CHAMP将利用这一综合专业知识，开发一个针对两个合作机构的本科生和研究生的研究、教育和推广计划。CHAMP将特别关注在天文学领域代表性不足的少数群体，包括夏威夷土著人和太平洋岛民、西班牙裔人和妇女。CHAMP还将为高中生组织天文学夏令营，向他们介绍Python编码和数据科学技术。CHAMP将利用位于约书亚树国家公园和夏威夷莫纳克亚山的UCR天文台的望远镜，为公众组织动手和远程观星之夜。更广泛影响的焦点将是IfA的夏威夷原住民和太平洋岛民以及UCR的拉丁裔和西班牙裔社区。UH-IfA和UCR在创建两个最大和最深的地基多波长星系调查中发挥了重要作用-COSMOS 2020和Hawaii-Two 0（H20）。CHAMP将利用这些调查来解决银河系演化和宇宙学中的主要科学问题，并为本科生和研究生开发研究和培训计划，这些学生将访问合作机构，接受培训并在教员的指导下进行研究。该计划将持续10周，每年为本科生和研究生。UCR的学生将获得实践观察经验，UH-IfA的学生将学习数据科学和机器学习技术及其在天文学中的应用。CHAMP还将开发两门新课程，在这两个机构讲授：“现代天文学工具”，教授测量测光红移、星系质量、灭绝、恒星形成率的基本技能;使用恒星种群合成算法，《天文学家的机器学习》（Machine Learning for Astronomers）该奖项反映了NSF的法定使命，并被认为是值得支持的，使用基金会的知识价值和更广泛的影响审查标准进行评估。