Collaborative Research: Constraining Supernova Progenitor Systems and Explosion Mechanisms Through 3D Reconstruction of Supernova Remnants
Collaborative Research: Constraining Supernova Progenitor Systems and Explosion Mechanisms Through 3D Reconstruction of Supernova Remnants
批准号:
2206532
负责人:
Danny Milisavljevic
金额:
$34.23万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-09-01 至 2025-08-31
中文摘要
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英文摘要
Supernova explosions are dramatic events, releasing huge amounts of material back into the space between stars. The investigators will study the remnants of these explosions to better understand the stars that exploded. The team has selected 5 relatively nearby supernova remnants (SNRs) and will combine a variety of observations to create 3-dimensional models of the locations, and velocities, of parts of the exploded stars. Because the SNRs contain many elements, each brightly radiating at specific wavelengths, the investigators can deduce the composition of the stars just before explosions. These observations will help us understand the remarkable processes leading up to the explosions. The investigators will share their research with the public by creating 3-dimensional (3D) reconstructions of SNRs using their Virtual Reality (VR) technology. The investigator has already demonstrated success with the VR technology. These dynamic visualizations will extend the research experience well beyond the home university, as valuable additions to a variety of public outreach settings. Students from local schools are invited to the Purdue University Envision Center to experience the 3D visualization and learn about astronomy. Supernovae are ideal multi-messenger laboratories that play a key role in the structural and chemical makeup of the universe. The suite of 3D reconstructions they developed will directly address uncertainty in fundamental topics pertaining to supernova explosion dynamics and their evolution to remnant phases that have serious ramifications in many areas of physics and astronomy. The investigators will organize the observations into formats useful for reliable tests of increasingly complex simulations. They will use the reconstructions to predict gravitational wave and neutrino signals of supernovae, and unravel competing effects of dynamical instabilities, rotation and magnetic fields, and pre-supernova stellar interior structure for a variety of supernova types. Purdue University is a member of the NSF-funded Supernova Early Warning System, which will benefit from these 3D reconstructions as it seeks to detect and characterize neutrinos from the next Galactic supernova.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(3)
专著(0)
科研奖励(0)
会议论文
Hubble Space Telescope Proper Motion Measurements of Supernova Remnant N132D: Center of Expansion and Age
哈勃太空望远镜对超新星遗迹 N132D 的自行测量:膨胀中心和年龄
DOI:
10.3847/1538-4357/acb8b6
发表时间:
2023
期刊:
The Astrophysical Journal
影响因子:
--
作者:
[Banovetz, John, Milisavljevic, Dan, Sravan, Niharika, Weil, Kathryn E., Subrayan, Bhagya, Fesen, Robert A., Patnaude, Daniel J., Plucinsky, Paul P., Law, Charles J., Blair, William P.]
通讯作者:
Blair, William P.
Scary Barbie: An Extremely Energetic, Long-duration Tidal Disruption Event Candidate without a Detected Host Galaxy at z = 0.995
可怕的芭比娃娃:在 z = 0.995 处未检测到宿主星系的极其活跃、持续时间较长的潮汐中断事件候选者
DOI:
10.3847/2041-8213/accf1a
发表时间:
2023
期刊:
The Astrophysical Journal Letters
影响因子:
--
作者:
[Subrayan, Bhagya M., Milisavljevic, Dan, Chornock, Ryan, Margutti, Raffaella, Alexander, Kate D., Ramakrishnan, Vandana, Duffell, Paul C., Dickinson, Danielle A., Lee, Kyoung-Soo, Giannios, Dimitrios]
通讯作者:
Giannios, Dimitrios
Using Anisotropies as a Forensic Tool for Decoding Supernova Remnants
使用各向异性作为解码超新星遗迹的取证工具
DOI:
10.3847/2041-8213/aca28b
发表时间:
2022
期刊:
The Astrophysical Journal Letters
影响因子:
--
作者:
[Polin, Abigail, Duffell, Paul, Milisavljevic, Dan]
通讯作者:
Milisavljevic, Dan
WoU-MMA: Collaborative Research: Advancing the SuperNova Early Warning System
-
批准号:2209451
-
项目类别:Standard Grant
-
资助金额:$24.93万
-
财政年份:2022
-
负责人:Danny Milisavljevic
-
依托单位:
RAPID: Virtual Reality Cyberinfrastructure Enabling Data Visualization, Exploration, and Collaboration Among Distant Individuals
-
批准号:2037297
-
项目类别:Standard Grant
-
资助金额:$6.68万
-
财政年份:2020
-
负责人:Danny Milisavljevic
-
依托单位:
国内基金
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