Collaborative Research: Spectral Synthesis for Broad Absorption Line Quasars - Feedback and Physics for Everyone

合作研究：宽吸收线类星体的光谱合成 - 每个人的反馈和物理

• 批准号: 2007023
• 负责人: Donald Terndrup
• 金额: $ 14.09万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2007023&HistoricalAwards=false
• 关键词: Collaborative; Research; Spectral; Synthesis; Broad

Black holes exist in the centers of most large galaxies. Studies of galaxy evolution show that black holes and galaxies evolve together. This evolution requires interactions between the black hole and the galaxy, for example, winds emerging from the black hole can interact with the gas in the galaxy. In this project, a novel computer code called SimBAL will be used to study quasar winds. SimBAL uses machine learning techniques to analyze the light emitted by the quasar. The SimBAL method will be used to study two large samples of quasars to measure the properties of quasar winds and to learn whether the winds are energetic enough to influence the evolution of the host galaxy. As part of this project, the SimBAL code will be prepared to be released to the public so that anyone can use it. The research will involve undergraduate students, including under-represented students. The investigators will also teach courses in data analytics to undergraduates and will develop tools to evaluate gains in data literacy during the semester.Black holes exist in the centers of most large galaxies. Studies of galaxy evolution show that black holes and galaxies evolve together. This evolution requires interactions between the black hole and the galaxy, for example, winds emerging from the black hole can interact with the gas in the galaxy. In this project, a novel computer code called SimBAL will be used to study quasar winds. SimBAL uses machine learning techniques to analyze the absorption lines found in about 10% of quasar spectra. The SimBAL method will be used to study two large and complementary samples of quasars. The properties of the winds, such as the velocity, the amount, and the location of the winds will be measured. The overarching goals are to determine how the winds are accelerated, and whether the winds are energetic enough to influence the evolution of the host galaxy. As part of this project, the SimBAL code will be prepared to be released to the public so that anyone can use it. The research will involve undergraduate students, including under-represented students. The investigators will also teach courses in data analytics to undergraduates and will develop tools to evaluate gains in data literacy during the semester.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.

黑洞存在于大多数大型星系的中心。 对星系演化的研究表明，黑洞和星系一起演化。 这种演化需要黑洞和星系之间的相互作用，例如，从黑洞中出现的风可以与星系中的气体相互作用。 在这个项目中，一种名为SimBAL的新型计算机代码将用于研究类星体风。 SimBAL使用机器学习技术来分析类星体发出的光。 SimBAL方法将用于研究两个大型类星体样本，以测量类星体风的特性，并了解风的能量是否足以影响宿主星系的演化。 作为该项目的一部分，SimBAL代码将准备向公众发布，以便任何人都可以使用它。该研究将涉及本科生，包括代表性不足的学生。 研究人员还将向本科生教授数据分析课程，并将开发工具来评估本学期在数据素养方面的收获。 对星系演化的研究表明，黑洞和星系一起演化。 这种演化需要黑洞和星系之间的相互作用，例如，从黑洞中出现的风可以与星系中的气体相互作用。 在这个项目中，一种名为SimBAL的新型计算机代码将用于研究类星体风。 SimBAL使用机器学习技术来分析在大约10%的类星体光谱中发现的吸收线。 SimBAL方法将用于研究两个大型互补的类星体样本。 将测量风的特性，如风速、风量和风的位置。 首要目标是确定风是如何加速的，以及风的能量是否足以影响宿主星系的演化。 作为该项目的一部分，SimBAL代码将准备向公众发布，以便任何人都可以使用它。该研究将涉及本科生，包括代表性不足的学生。 研究人员还将教授本科生数据分析课程，并将开发工具来评估学期中数据素养的收获。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

项目成果

Discovery of a Remarkably Powerful Broad Absorption-line Quasar Outflow in SDSS J135246.37+423923.5

• DOI: 10.3847/1538-4357/ab6f72
• 发表时间: 2020-03-01
• 期刊: ASTROPHYSICAL JOURNAL
• 影响因子: 4.9
• 作者: Choi, Hyunseop;Leighly, Karen M.;Richards, Gordon T.
• 通讯作者: Richards, Gordon T.

The Dragonfly Galaxy. III. Jet Brightening of a High-redshift Radio Source Caught in a Violent Merger of Disk Galaxies

蜻蜓星系。

• DOI: 10.3847/1538-4357/acd3ed
• 发表时间: 2023
• 期刊: The Astrophysical Journal
• 作者: Lebowitz, Sophie;Emonts, Bjorn;Terndrup, Donald M.;Burchett, Joseph N.;Prochaska, J. Xavier;Drouart, Guillaume;Villar-Martín, Montserrat;Lehnert, Matthew;De Breuck, Carlos;Vernet, Joël
• 通讯作者: Vernet, Joël