SHINE: Distinguishing Reconnection Scenarios for Solar Energetic Events

SHINE:区分太阳能事件的重连场景

基本信息

  • 批准号:
    0454610
  • 负责人:
  • 金额:
    $ 51.66万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2005
  • 资助国家:
    美国
  • 起止时间:
    2005-05-01 至 2011-04-30
  • 项目状态:
    已结题

项目摘要

This proposal will investigate the origins of solar energetic events by focusing on models of the trigger mechanisms, including those initiated by magnetic reconnection (e.g., tether cutting, breakout models) and by other mechanisms (e.g., the kink instability). Until now, only a few events have been studied in depth to investigate pre-event coronal signatures, and models of solar eruptions have only sparsely provided observables by which to test models. There are finally sufficient archived observational data and testable predictions from models that a rigorous statistical approach can be taken. The magnetic topology and pre-event coronal dynamics of solar energetic events will be characterized by parameterizations and moment analysis of coronal brightness maps and vector magnetograms, in order to avoid subjective data interpretation. This investigation will make use of data from the GOES, SoHO/LASCO, Yohkoh/SXT, and SoHO/EIT archives, as well as the Imaging Vector Magnetograph at the University of Hawaii's Mees Solar Observatory. The proposers' analysis will include control data sets for quiet times and regions, against which to test the null hypothesis. The variables derived from these data will be subjected to Discriminant Analysis, a statistical tool well suited for this approach. The power of Discriminant Analysis lies in its ability to differentiate between known populations, e.g., event-producing vs. event-quiet data points, in a multiple-variable parameter space. The assembled research team is well suited for the tasks of data acquisition, analysis, and interpretation in the context of the solar magnetic fields, plasma, and energetic events. Even if a specific model for the initiation of energetic events cannot be identified, it should be possible to put constraints on the processes involved.The results of this study will aid in the definition and development of upcoming NSF-supported and collaborative projects, including the myriad ground-based and space-based efforts that include in their science goals the understanding of solar energetic events. By taking advantage of the archived data from long-running observational programs, this project will help focus the scientific approach and goals of future investigations.
这项提案将通过侧重于触发机制的模型来调查太阳高能事件的起源,包括那些由磁重联引发的事件(例如,系链切割,断裂模型)和通过其它机制(例如,扭结不稳定性)。到目前为止,只有少数事件被深入研究,以调查事件前的日冕特征,太阳爆发的模型只提供了稀疏的可观测数据来测试模型。最终有足够的存档观测数据和可测试的预测模型,可以采取严格的统计方法。将通过对日冕亮度图和矢量磁图进行参数化和矩分析来确定太阳高能事件的磁拓扑和事件前日冕动力学特征,以避免对数据作出主观解释。这项调查将利用来自GOES、SoHO/LASCO、Yohkoh/SXT和SoHO/EIT档案的数据,以及夏威夷大学Mees太阳天文台的成像矢量磁力仪。提议者的分析将包括安静时间和地区的对照数据集,以检验零假设。从这些数据中得出的变量将进行判别分析,这是一种非常适合这种方法的统计工具。判别分析的力量在于它区分已知群体的能力,例如,在多变量参数空间中,事件产生与事件安静数据点。组装的研究团队非常适合在太阳磁场,等离子体和高能事件的背景下进行数据采集,分析和解释的任务。即使一个具体的模型启动的高能事件不能被确定,它应该是可能的,把有关的过程中的限制,这项研究的结果将有助于在即将到来的NSF支持和合作项目的定义和发展,包括无数的地面和空间为基础的努力,包括在他们的科学目标的理解太阳高能事件。通过利用长期运行的观测项目的存档数据,该项目将有助于集中科学方法和未来调查的目标。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Evaluating (and Improving) Estimates of the Solar Radial Magnetic Field Component from Line-of-Sight Magnetograms
  • DOI:
    10.1007/s11207-017-1057-8
  • 发表时间:
    2017-02-01
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    Leka, K. D.;Barnes, G.;Wagner, E. L.
  • 通讯作者:
    Wagner, E. L.
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Graham Barnes其他文献

Resolving the 180° Ambiguity in Solar Vector Magnetic Field Data: Evaluating the Effects of Noise, Spatial Resolution, and Method Assumptions
  • DOI:
    10.1007/s11207-009-9440-8
  • 发表时间:
    2009-10-02
  • 期刊:
  • 影响因子:
    2.400
  • 作者:
    K. D. Leka;Graham Barnes;A. D. Crouch;Thomas R. Metcalf;G. Allen Gary;Ju Jing;Y. Liu
  • 通讯作者:
    Y. Liu
A Fixed-point Scheme for the Numerical Construction of Magnetohydrostatic Atmospheres in Three Dimensions
三维磁流体静力大气数值构造的定点格式
  • DOI:
    10.1007/s11207-016-0992-0
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    S. Gilchrist;D. Braun;Graham Barnes
  • 通讯作者:
    Graham Barnes
嚥下機能評価の実際とその解釈.
吞咽功能的实用评估及其解释。
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Natsuko Shichinohe;Graham Barnes;Teppei Akao;Sergei Kurkin;Junko Fukushima;Manabu Kase;R.John Leigh;Tim Belton;Kikuro Fukushima;山脇正永
  • 通讯作者:
    山脇正永
Implementing a Magnetic Charge Topology Model for Solar Active Regions
实现太阳能活跃区域的磁荷拓扑模型
  • DOI:
    10.1086/431175
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Graham Barnes;D. Longcope;K. Leka
  • 通讯作者:
    K. Leka
Oscillatory eye movements resembling pendular nystagmus in normal juvenile Macaques.
眼球振荡运动类似于正常幼年猕猴的摆动性眼球震颤。
  • DOI:
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Natsuko Shichinohe;Graham Barnes;Teppei Akao;Sergei Kurkin;Junko Fukushima;Manabu Kase;R.John Leigh;Tim Belton;Kikuro Fukushima
  • 通讯作者:
    Kikuro Fukushima

Graham Barnes的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Graham Barnes', 18)}}的其他基金

Pathways to Coronal Magnetic Energy Storage and Release
日冕磁能储存和释放的途径
  • 批准号:
    1630454
  • 财政年份:
    2016
  • 资助金额:
    $ 51.66万
  • 项目类别:
    Continuing Grant
Role of reafferent mechanisms in predictive interactions between head and eye movement.
再传入机制在头部和眼球运动之间的预测相互作用中的作用。
  • 批准号:
    G0601572/1
  • 财政年份:
    2007
  • 资助金额:
    $ 51.66万
  • 项目类别:
    Research Grant

相似海外基金

Addressing the Racial Disparity of Angiotensin Inhibitor Benefit in HFrEF Hospitalizations: Distinguishing Genomic and Social Factors
解决 HFrEF 住院期间血管紧张素抑制剂获益的种族差异:区分基因组和社会因素
  • 批准号:
    10605868
  • 财政年份:
    2023
  • 资助金额:
    $ 51.66万
  • 项目类别:
Distinguishing Phenotypes of Pulmonary Hypertension in Patients with Connective Tissue Disease-related Interstitial Lung Disease
结缔组织病相关间质性肺病患者肺动脉高压表型的区分
  • 批准号:
    10748841
  • 财政年份:
    2023
  • 资助金额:
    $ 51.66万
  • 项目类别:
Polymorphic L1 transposons as a Genetic Variable Distinguishing Aggressive from Indolent Prostate Cancer
多态性 L1 转座子作为区分侵袭性前列腺癌和惰性前列腺癌的遗传变量
  • 批准号:
    10260721
  • 财政年份:
    2022
  • 资助金额:
    $ 51.66万
  • 项目类别:
Distinguishing preexistent and induced epigenetic risk for alcohol use disorders
区分酒精使用障碍的先存风险和诱发的表观遗传风险
  • 批准号:
    10553537
  • 财政年份:
    2022
  • 资助金额:
    $ 51.66万
  • 项目类别:
Distinguishing inflammatory Th17 subsets through using an autoimmune Th17-selective inhibitor
通过使用自身免疫 Th17 选择性抑制剂区分炎症 Th17 亚群
  • 批准号:
    10527102
  • 财政年份:
    2022
  • 资助金额:
    $ 51.66万
  • 项目类别:
Distinguishing excitatory and inhibitory transcallosal interactions.
区分兴奋性和抑制性经胼胝体相互作用。
  • 批准号:
    RGPIN-2019-06515
  • 财政年份:
    2022
  • 资助金额:
    $ 51.66万
  • 项目类别:
    Discovery Grants Program - Individual
Distinguishing Pancreatic Cancer from Benign Pancreatic Disease using Nanoparticle-based Biomarkers
使用基于纳米颗粒的生物标志物区分胰腺癌和良性胰腺疾病
  • 批准号:
    10542739
  • 财政年份:
    2022
  • 资助金额:
    $ 51.66万
  • 项目类别:
Distinguishing radiation necrosis from recurrent glioblastoma using rapid evaporative ionization mass spectrometry.
使用快速蒸发电离质谱法区分放射性坏死和复发性胶质母细胞瘤。
  • 批准号:
    476102
  • 财政年份:
    2022
  • 资助金额:
    $ 51.66万
  • 项目类别:
    Studentship Programs
Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma
用于区分胶质母细胞瘤的放射效应和肿瘤复发的定量成像表型分类器
  • 批准号:
    10778776
  • 财政年份:
    2022
  • 资助金额:
    $ 51.66万
  • 项目类别:
Distinguishing TLE and TLE+ using MEG virtual sensors
使用 MEG 虚拟传感器区分 TLE 和 TLE
  • 批准号:
    10447404
  • 财政年份:
    2022
  • 资助金额:
    $ 51.66万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了