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CAREER: Echo Mapping the Census of Supermassive Black Hole Mass, Accretion, and Spin

CAREER: Echo Mapping the Census of Supermassive Black Hole Mass, Accretion, and Spin
职业:回声测绘超大质量黑洞质量、吸积和自旋普查
批准号:
1945546
负责人:
Jonathan Trump
金额:
$73.81万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-09-01 至 2025-08-31

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中文摘要
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英文摘要
This program will compile a census of supermassive black holes in the universe. Essentially every galaxy hosts a supermassive black hole in its center. The program will use a new generation of time-domain observations from the Sloan Digital Sky Survey (SDSS) and Large Synoptic Survey Telescope (LSST) to map the fundamental black hole properties of mass, spin, and accretion. This will give insights into how supermassive black holes and galaxies evolve across cosmic time. The PI will develop a “bridge program” for underrepresented minority undergraduate physics majors at the University of Connecticut to increase their number in STEM fields by completing their education. A census of supermassive black hole will be made using spectroscopic and photometric Reverberation Mapping (RM) in a series of time domain campaigns with massively multiplexed spectroscopy to measure their mass and accretion disks by first using the SDSS-RM survey. Techniques will be developed to construct contemporaneous UV-optical spectral energy distributions that avoid the effects of quasar variability which together with the full SDSS-RM sample with black hole masses will be the first to determine a large number of black hole spin masses. Future matched UV photometry together with time domain optical LSST data for spin measurements with the SDSS-V survey will result in a census of the black hole population and characteristics.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.
期刊论文(20)
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会议论文
DOI: 10.3847/1538-4357/abbc1c
发表时间: 2020-11-01
期刊: ASTROPHYSICAL JOURNAL
影响因子: 4.9
作者: [Bonta, Elena Dalla, Peterson, Bradley M., Vestergaard, Marianne]
通讯作者: Vestergaard, Marianne
DOI: 10.3847/1538-4357/ac28f4
发表时间: 2020-11
期刊: The Astrophysical Journal
影响因子: --
作者: [R. Simons;C. Papovich;I. Momcheva;J. Trump;G. Brammer;V. Estrada-Carpenter;B. Backhaus;N. Cleri-N.-C]
通讯作者: R. Simons;C. Papovich;I. Momcheva;J. Trump;G. Brammer;V. Estrada-Carpenter;B. Backhaus;N. Cleri-N.-C
The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data
斯隆数字巡天第十七次数据发布:MaNGA、MaStar和APOGEE-2数据完整发布
DOI: 10.3847/1538-4365/ac4414
发表时间: 2022
期刊: The Astrophysical Journal Supplement Series
影响因子: --
作者: [Abdurro’uf, Accetta, Katherine, Aerts, Conny, Silva Aguirre, Víctor, Ahumada, Romina, Ajgaonkar, Nikhil, Filiz Ak, N., Alam, Shadab, Allende Prieto, Carlos, Almeida, Andrés]
通讯作者: Almeida, Andrés
CLEAR: Paschen-β Star Formation Rates and Dust Attenuation of Low-redshift Galaxies
清晰:低红移星系的帕邢-β恒星形成率和尘埃衰减
DOI: 10.3847/1538-4357/ac5a4c
发表时间: 2022
期刊: The Astrophysical Journal
影响因子: --
作者: [Cleri, Nikko J., Trump, Jonathan R., Backhaus, Bren E., Momcheva, Ivelina, Papovich, Casey, Simons, Raymond, Weiner, Benjamin, Estrada-Carpenter, Vicente, Finkelstein, Steven L., Giavalisco, Mauro]
通讯作者: Giavalisco, Mauro
16
    Collaborative Research: Investigations of Quasar Variability with High-Cadence Spectroscopy
    • 批准号:
      2108668
    • 项目类别:
      Standard Grant
    • 资助金额:
      $8.49万
    • 财政年份:
      2021
    • 负责人:
      Jonathan Trump
    • 依托单位:
    Collaborative Research: Reverberation Mapping with Multi-Object Spectroscopy - from Sloan Digital Sky Survey Reverberation Mapping to the Black Hole Mapper
    • 批准号:
      2009539
    • 项目类别:
      Standard Grant
    • 资助金额:
      $13.08万
    • 财政年份:
      2020
    • 负责人:
      Jonathan Trump
    • 依托单位:
    EAPSI: The Coevolution of Galaxies and Supermassive Black Holes: Understanding the Formation of Galaxies Like the Milky Way
    • 批准号:
      0813327
    • 项目类别:
      Fellowship Award
    • 资助金额:
      $0.56万
    • 财政年份:
      2008
    • 负责人:
      Jonathan Trump
    • 依托单位:
    国内基金
    海外基金
    基于ECHO模型的供应链产品内分工的涌现机制及其仿真研究
    • 批准号:
      70671107
    • 项目类别:
      面上项目
    • 资助金额:
      18.5万元
    • 批准年份:
      2006
    • 负责人:
      周庆
    • 依托单位: