Using transfer learning to detect galaxy mergers-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Using transfer learning to detect galaxy mergers

Published:2018-05-28 Issue:1 Volume:479 Page:415-425
ISSN:0035-8711
Container-title:Monthly Notices of the Royal Astronomical Society
language:en
Short-container-title:

Author:

Ackermann Sandro¹,Schawinski Kevin¹,Zhang Ce²,Weigel Anna K¹^ORCID,Turp M Dennis¹

Affiliation:

1. Institute for Particle Physics and Astrophysics, Department of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 2, CH-8093, Zürich, Switzerland

2. Systems Group, Department of Computer Science, ETH Zurich, Universitätstrasse 6, CH-8006, Zürich, Switzerland

Funder

Swiss National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

http://academic.oup.com/mnras/article-pdf/479/1/415/25504532/sty1398.pdf

Reference62 articles.

1. SHOCKED POSTSTARBUST GALAXY SURVEY. I. CANDIDATE POST-STARBUST GALAXIES WITH EMISSION LINE RATIOS CONSISTENT WITH SHOCKS

2. Quantifying the Bimodal Color‐Magnitude Distribution of Galaxies

3. The Optical and Near‐Infrared Properties of Galaxies. I. Luminosity and Stellar Mass Functions

4. A First Estimate of the Baryonic Mass Function of Galaxies

Cited by 92 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Radio U-Net: a convolutional neural network to detect diffuse radio sources in galaxy clusters and beyond;Monthly Notices of the Royal Astronomical Society;2024-08-22

2. Galaxy merger challenge: A comparison study between machine learning-based detection methods;Astronomy & Astrophysics;2024-06-26

3. Determining the time before or after a galaxy merger event;Astronomy & Astrophysics;2024-06-25

4. A deep neural network: mechanistic hybrid model to predict pharmacokinetics in rat;Journal of Computer-Aided Molecular Design;2024-01-31

5. LSBGnet: an improved detection model for low-surface brightness galaxies;Monthly Notices of the Royal Astronomical Society;2024-01-13

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3