کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4962310 1446527 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analysis of Mercury's Magnetosphere States based on MESSENGER data by Kohonen Neural Network and other Clustering Algorithms1
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Analysis of Mercury's Magnetosphere States based on MESSENGER data by Kohonen Neural Network and other Clustering Algorithms1
چکیده انگلیسی

Since the dawn of the space era scientists have been interested in understanding structures and dynamics of planetary magnetospheres that arise due to interaction between the ubiquitous stream of charged particles emanating from the Sun and intrinsic planetary magnetic fields. Magnetospheres of varying sizes and properties have been detected by interplanetary missions at multiple bodies in the Solar system.In the past few years efforts to investigate Mercury's magnetosphere received a large boost due to availability of data from the MESSENGER mission (now defunct) with hundreds of new papers published, some of which [1] [4] [2] [11] reveal important insights about its properties and dynamics. The focus of the present work is to utilize the vast body of MESSENGER magnetometer measurements over 2011-2014 in order to establish distinct states of the planet's magnetosphere using a 1-dimensional Kohonen neural network as well as other algorithms. We examine the properties of the resulting clusters and identify the reasonable physical explanations behind their differences.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 88, 2016, Pages 499-504
نویسندگان
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