New method of eclipse mapping and an application to HT Cas in the 2017 superoutburst

黄金时代 Pub Date : 2018-07-10 DOI:10.22323/1.315.0025
Yasuyuki Wakamatsu, K. Isogai, T. Morita, Taichi Kato, D. Nogami, M. Uemura, Shiro Ikeda
{"title":"New method of eclipse mapping and an application to HT Cas in the 2017 superoutburst","authors":"Yasuyuki Wakamatsu, K. Isogai, T. Morita, Taichi Kato, D. Nogami, M. Uemura, Shiro Ikeda","doi":"10.22323/1.315.0025","DOIUrl":null,"url":null,"abstract":"We have developed a new eclipse mapping method with Total Variation Minimization (TVM). \nTVM uses a concept of sparse modeling, which recovers information from sparse data. \nTVM sets a summation of difference in the brightness of adjacent elements in a map to be sparse. \nWe included this concept to the eclipse mapping method and evaluated consistency of the reconstruction of the model disk. \nThe reconstruction of the model light curve seems to be fine but that of the model disk seems to be failed, smearing the brightness distribution along the ingress/egress arcs produced by the shadow of the secondary. \n \nWe applied our method to the 2017 superoutburst of HT Cas. \nThe artifacts smearing along the ingress/egress arcs of the secondary also exist. \nUnaccounted noise and the short phase coverage of the input light curves seem to affect the results, leading to small artificial bright spots in the reconstructed disk.","PeriodicalId":71342,"journal":{"name":"黄金时代","volume":"39 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"黄金时代","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.22323/1.315.0025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We have developed a new eclipse mapping method with Total Variation Minimization (TVM). TVM uses a concept of sparse modeling, which recovers information from sparse data. TVM sets a summation of difference in the brightness of adjacent elements in a map to be sparse. We included this concept to the eclipse mapping method and evaluated consistency of the reconstruction of the model disk. The reconstruction of the model light curve seems to be fine but that of the model disk seems to be failed, smearing the brightness distribution along the ingress/egress arcs produced by the shadow of the secondary. We applied our method to the 2017 superoutburst of HT Cas. The artifacts smearing along the ingress/egress arcs of the secondary also exist. Unaccounted noise and the short phase coverage of the input light curves seem to affect the results, leading to small artificial bright spots in the reconstructed disk.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
日食映射新方法及其在2017年超爆发HT Cas中的应用
本文提出了一种新的全变异最小化(Total Variation Minimization, TVM)日食映射方法。TVM采用稀疏建模的概念,从稀疏数据中恢复信息。TVM将地图中相邻元素的亮度差之和设置为稀疏。我们将这一概念纳入到日食映射方法中,并评估了模型磁盘重建的一致性。模型光曲线的重建似乎很好,但模型盘的重建似乎失败了,模糊了由次级星阴影产生的沿入口/出口弧线的亮度分布。将该方法应用于2017年HT Cas超突出。沿着次级的入口/出口弧线涂抹的工件也存在。未解释的噪声和输入光曲线的短相位覆盖似乎影响了结果,导致重建磁盘中出现小的人工亮点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
7284
期刊最新文献
Optical and Near-infrared High-resolution Spectroscopic Observations of Nova V2659 Cyg: Structure of Nova Ejecta and Origin of Two-distinct Velocity Systems A Review of the Evolution of Classical Nova V2676 Oph: Formation of Molecules and Dust Grains Testing the models of CV evolution The Golden Age of Cataclysmic Variables and Related Objects (A Very Personal Review) Pre-maximum and maximum of Novae: The spectroscopic observations of Nova ASASSN-17hx
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1