首页> 外文期刊>Advances in space research >Correlation between sunspots and interplanetary shocks measured by ACE during 1998-2014 and some estimations for the 22nd solar cycle and the years between 2015 and 2018 with artificial neural network using the Cavus 2013 model
【24h】

Correlation between sunspots and interplanetary shocks measured by ACE during 1998-2014 and some estimations for the 22nd solar cycle and the years between 2015 and 2018 with artificial neural network using the Cavus 2013 model

机译:808-2014期间ACE测量的太阳黑子与行星际冲击的相关性,以及2015年和2018年间,2015年间日光循环与2015年间多年的估算,使用CAVUS 2013模型与人工神经网络

获取原文
获取原文并翻译 | 示例
       

摘要

The Advanced Composition Explorer (ACE) spacecraft has measured 235 solar-based interplanetary (IP) shock waves between the years of 1998-2014. These were composed of 203 fast forward (FF), 6 slow forward (SF), 21 fast reverse (FR) and 5 slow reverse (SR) type shocks. These data can be obtained from the Interplanetary Shock Database of Harvard-Smithsonian Centre for Astrophysics. The Solar Section of American Association of Variable Star Observers (AAVSO) is an organization that counts the number of the sunspots. The effects of interplanetary shock waves on some physical parameters can be computed using a hydrodynamical model. There should be some correlations between these effects and the sunspot variations. The major objective of this paper is twofold. The first one is to search these correlations with sunspots given in the database of AAVSO. As expected, high correlations between physical parameters and sun-spots have been obtained and these are presented in tables below. The second objective is to make an estimation of these parameters for the 22nd solar cycle and the years between 2015 and 2018 using an artificial neural network. Predictions have been made for these years where no shock data is present using artificial intelligence. The correlations were observed to increase further when these prediction results were included.
机译:先进的组成探险者(ACE)航天器在1998 - 2014年之间测量了235年的太阳能班次惯例(IP)冲击波。这些由203个快进(FF),6慢前进(SF),21个快速反向(FR)和5次慢速(SR)型冲击。这些数据可以从哈佛 - 史密森岛中心为天体物理学中心的行星冲击数据库获得。美国可变星级观察员(AAVSO)的太阳能部分是一个计算太阳黑子数量的组织。可以使用流体动力学模型来计算截然冲击波对某些物理参数的影响。这些效果与太阳黑子变化之间应该存在一些相关性。本文的主要目标是双重。第一个是搜索与AAVSO数据库中给出的太阳黑子相关这些相关性。如预期的那样,已经获得了物理参数和太阳斑之间的高相关,并且这些在下表中呈现。第二个目的是使用人工神经网络估计第22个太阳循环的这些参数以及2015年和2018年之间的年。已经在这些年来预测,其中使用人工智能没有震动数据。当包括这些预测结果时,观察到的相关性进一步增加。

著录项

相似文献

  • 外文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号