WoU-MMA: Collaborative Research: A Next-Generation SuperNova Early Warning System for Multimessenger Astronomy

WoU-MMA：合作研究：用于多信使天文学的下一代超新星早期预警系统

• 批准号: 1914447
• 负责人: Alec Habig
• 金额: $ 5万
• 依托单位: University of Minnesota Duluth
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1914447&HistoricalAwards=false
• 关键词: WoU; MMA; Collaborative; Research; Next

When a massive star reaches the end of its life, the core of the star collapses, producing a supernova. While visually spectacular, less than 1% of the energy in the supernova is released as visible light or as kinetic energy in the surrounding environment. Most of the energy from the supernova is carried away by neutrinos produced during the collapse of the core. In contrast to photons, neutrinos interact only very weakly with matter. They can therefore stream out of the supernova explosion without delay and thus arrive at Earth minutes to hours before the optical explosion may be visible. Detecting the first neutrinos from a supernova therefore provides an early alert to trigger further observations. The SuperNova Early Warning System (SNEWS) is a network of neutrino detectors around the world designed to provide automated early alerts for supernovae in our galaxy. While rare, a galactic supernova would provide a unique opportunity to study the physics of core-collapse supernova, as well as the properties of neutrinos. Alerts from SNEWS will enable observations of the earliest phases of the supernova for physicists and astronomers around the world. The SNEWS project works to engage amateur astronomers by involving them in this science, as they play an important role in optical observations of supernova.This award supports a collaborative group from several institutions to upgrade the existing SNEWS real-time alert system to include new detectors, and to prepare to better exploit the collective capabilities of these detectors. The team will model neutrino light curves and use those models to evaluate the expected signals in all available neutrino detectors. They will develop optimal methods for prompt determination of the supernova direction using both neutrino interaction anisotropies, as well as inter-experiment triangulation algorithms which will be based on relative observed timing of the neutrino signals. Prompt directional information will sharply improve the likelihood to detect the early onset of the light curve in multiple channels. This is crucial not only for the understanding of supernova explosions, but also for many other areas of physics including astrophysics, nuclear physics, and particle physics. Finally they will develop pre-supernova alerts based on the observation of the uptick in neutrino production that accompanies the final burning stages of a doomed star. This proposal also supports involvement of the amateur astronomy community in this exciting area of research, the creation of a topical planetarium show, as well as a smartphone app for use in education and alert dissemination.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.

当一颗大质量恒星到达其生命终点时，恒星的核心就会塌陷，产生超新星。虽然视觉上很壮观，但超新星中只有不到 1% 的能量以可见光或周围环境的动能形式释放。超新星的大部分能量被核心塌陷过程中产生的中微子带走。 与光子相比，中微子与物质的相互作用非常弱。 因此，它们可以毫不延迟地从超新星爆炸中流出，从而在光学爆炸可见之前几分钟到几小时到达地球。因此，检测来自超新星的第一个中微子可以提供早期警报，以触发进一步的观测。超新星早期预警系统（SNEWS）是一个由世界各地的中微子探测器组成的网络，旨在为银河系中的超新星提供自动早期警报。虽然很罕见，但银河超新星将为研究核心塌缩超新星的物理学以及中微子的特性提供独特的机会。来自 SNEWS 的警报将​​使世界各地的物理学家和天文学家能够观测超新星的最早阶段。 SNEWS 项目致力于通过业余天文学家参与这门科学来吸引他们，因为他们在超新星的光学观测中发挥着重要作用。该奖项支持来自多个机构的合作小组升级现有的 SNEWS 实时警报系统，以包括新的探测器，并准备更好地利用这些探测器的集体能力。 该团队将对中微子光变曲线进行建模，并使用这些模型来评估所有可用中微子探测器中的预期信号。 他们将开发利用中微子相互作用各向异性以及基于中微子信号相对观测时间的实验间三角测量算法来快速确定超新星方向的最佳方法。 及时的方向信息将大大提高在多个通道中检测光变曲线早期出现的可能性。 这不仅对于理解超新星爆炸至关重要，而且对于物理学的许多其他领域（包括天体物理学、核物理学和粒子物理学）也至关重要。 最后，他们将根据对注定恒星最后燃烧阶段伴随的中微子产生增加的观察，制定超新星爆发前警报。 该提案还支持业余天文学界参与这一激动人心的研究领域、创建专题天文馆表演以及用于教育和警报传播的智能手机应用程序。该奖项反映了 NSF 的法定使命，并被认为是值得的通过使用基金会的智力优势和更广泛的影响审查标准进行评估来获得支持。

项目成果

SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals

• DOI: 10.3847/1538-4357/ac350f
• 发表时间: 2021-09
• 期刊: The Astrophysical Journal
• 作者: A. Baxter;S. BenZvi;Joahan Castaneda Jaimes;A. Coleiro;M. C. Molla;D. Dornic;Tomer Goldhagen;Anne Graf;S. Griswold;A. Habig;R. Hill;S. Horiuchi;J. Kneller;R. Lang;M. Lincetto;J. Migenda;K. Nakamura;E. O’Connor;A. Renshaw;K. Scholberg;C. Tunnell;Navya Uberoi;Arkin Worlikar

Collaborative experience between scientific software projects using Agile Scrum development

• DOI: 10.1002/spe.3120
• 发表时间: 2021-01
• 期刊: Software: Practice and Experience
• 作者: Amanda L. Baxter;S. BenZvi;W. Bonivento;Adam Brazier;Michael Clark;A. Coleiro;D. Collom;M. Colomer-Molla;B. Cousins;Aliwen Delgado Orellana;D. Dornic;V. Ekimtcov;Shereen ElSayed;A. Gallo Rosso;P. Godwin;S. Griswold;A. Habig;Remington Hill;S. Horiuchi;D. A. Howell;Margaret W. G. Johnson;M. Jurić;J. Kneller;A. Kopec;C. Kopper;V. Kulikovskiy;M. Lamoureux;R. Lang;S. Li;M. Lincetto;Lindy Lindstrom;M. Linvill;C. McCully;J. Migenda;D. Milisavljevic;S. Nelson;R. Novoseltseva;E. O’Sullivan;D. Petravick;B. Pointon;N. Raj;A. Renshaw;J. Rumleskie;T. Sonley;R. Tapia;J. Tseng;C. Tunnell;G. Vannoye;C. Vigorito;C. Virtue;Christopher N. Weaver;K. Weil;L. Winslow;R. Wolski;Xun-Jie Xu;Y. Xu

SNEWS 2.0: a next-generation supernova early warning system for multi-messenger astronomy

• DOI: 10.1088/1367-2630/abde33
• 发表时间: 2020-10
• 期刊: New Journal of Physics
• 影响因子: 3.3
• 作者: Soud Al Kharusi;S. BenZvi;J. Bobowski;W. Bonivento;V. Brdar;T. Brunner;E. Caden;M. Clark