http://www.cslt.org/mediawiki/index.php?action=history&feed=atom&title=%E7%AC%AC%E5%9B%9B%E5%8D%81%E5%85%AD%E7%AB%A0_%E5%A4%A9%E6%96%87%E5%AD%A6%E5%AE%B6%E7%9A%84%E5%8A%A9%E6%89%8B 2026-04-06T15:44:28Z 本wiki的该页面的版本历史 MediaWiki 1.23.3 http://www.cslt.org/mediawiki/index.php?title=%E7%AC%AC%E5%9B%9B%E5%8D%81%E5%85%AD%E7%AB%A0_%E5%A4%A9%E6%96%87%E5%AD%A6%E5%AE%B6%E7%9A%84%E5%8A%A9%E6%89%8B&diff=40582&oldid=prev 2023-08-13T02:44:18Z

<p>‎<span dir="auto"><span class="autocomment">开发者资源</span></span></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;'> <td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">2023年8月13日 (日) 02:44的版本</td> </tr><tr><td colspan="2" class="diff-lineno">第32行：</td> <td colspan="2" class="diff-lineno">第32行：</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==开发者资源==</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==开发者资源==</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* AstroCV: an oper source toolbox for astronomy [https://github.com/astroCV/astroCV]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* AstroCV: an oper source toolbox for astronomy <ins class="diffchange diffchange-inline">[*]</ins>[https://github.com/astroCV/astroCV]</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Source code for checking astronomy data (Mesarcik et al.)[https://github.com/mesarcik/DL4DI]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Source code for checking astronomy data (Mesarcik et al.)<ins class="diffchange diffchange-inline">[*]</ins>[https://github.com/mesarcik/DL4DI]</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Source code for DFCN-based RFI detection (Kerrigan et al.) [https://github.com/UPennEoR/ml_rfi]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Source code for DFCN-based RFI detection (Kerrigan et al.) <ins class="diffchange diffchange-inline">[*]</ins>[https://github.com/UPennEoR/ml_rfi]</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==高级读者==</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==高级读者==</div></td></tr> </table>

Cslt http://www.cslt.org/mediawiki/index.php?title=%E7%AC%AC%E5%9B%9B%E5%8D%81%E5%85%AD%E7%AB%A0_%E5%A4%A9%E6%96%87%E5%AD%A6%E5%AE%B6%E7%9A%84%E5%8A%A9%E6%89%8B&diff=39410&oldid=prev 2022-09-14T06:33:53Z

<p></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;'> <td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">2022年9月14日 (三) 06:33的版本</td> </tr><tr><td colspan="2" class="diff-lineno">第32行：</td> <td colspan="2" class="diff-lineno">第32行：</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==开发者资源==</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==开发者资源==</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>&#160;</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">* AstroCV: an oper source toolbox for astronomy [https://github.com/astroCV/astroCV]</ins></div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Source code for checking astronomy data (Mesarcik et al.)[https://github.com/mesarcik/DL4DI]</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Source code for checking astronomy data (Mesarcik et al.)[https://github.com/mesarcik/DL4DI]</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Source code for DFCN-based RFI detection (Kerrigan et al.) [https://github.com/UPennEoR/ml_rfi]</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Source code for DFCN-based RFI detection (Kerrigan et al.) [https://github.com/UPennEoR/ml_rfi]</div></td></tr> <tr><td colspan="2" class="diff-lineno">第42行：</td> <td colspan="2" class="diff-lineno">第42行：</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Mesarcik et al, Deep learning assisted data inspection for radio astronomy, MNRAS, 2020. [https://academic.oup.com/mnras/article/496/2/1517/5848205]</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Mesarcik et al, Deep learning assisted data inspection for radio astronomy, MNRAS, 2020. [https://academic.oup.com/mnras/article/496/2/1517/5848205]</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Kerrigan J, Plante P L, Kohn S, et al. Optimizing sparse RFI prediction using deep learning[J]. Monthly Notices of the Royal Astronomical Society, 2019, 488(2): 2605-2615. [https://academic.oup.com/mnras/article/488/2/2605/5529408]</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Kerrigan J, Plante P L, Kohn S, et al. Optimizing sparse RFI prediction using deep learning[J]. Monthly Notices of the Royal Astronomical Society, 2019, 488(2): 2605-2615. [https://academic.oup.com/mnras/article/488/2/2605/5529408]</div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* González R E, Munoz R P, Hernández C A. Galaxy detection and identification using deep learning and data augmentation[J]. Astronomy and computing, 2018, 25: 103-109. [https://www.sciencedirect.com/science/article/am/pii/S2213133718300325]</ins></div></td></tr> </table>

Cslt http://www.cslt.org/mediawiki/index.php?title=%E7%AC%AC%E5%9B%9B%E5%8D%81%E5%85%AD%E7%AB%A0_%E5%A4%A9%E6%96%87%E5%AD%A6%E5%AE%B6%E7%9A%84%E5%8A%A9%E6%89%8B&diff=39409&oldid=prev 2022-09-14T05:31:48Z

<p>以“==教学资料== * <a href="/mediawiki/index.php/%E6%95%99%E5%AD%A6%E5%8F%82%E8%80%83-46" title="教学参考-46">教学参考</a> * [http://aigraph.cslt.org/courses/46/course-46.pptx 课件] * 小清爱提问：机器学习如何检查天文...”为内容创建页面</p> <p><b>新页面</b></p><div>==教学资料==<br /> <br /> * [[教学参考-46|教学参考]]<br /> * [http://aigraph.cslt.org/courses/46/course-46.pptx 课件]<br /> * 小清爱提问：机器学习如何检查天文望远镜？ [https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&amp;mid=2247486839&amp;idx=1&amp;sn=a93759465a3a864a82f42275fccfbc3f&amp;chksm=c30807b5f47f8ea3adfe2f44ce2891e7d2d5bda3a4e7c3dce583524a323ffa3ce6022c4f206a&amp;scene=178#rd]<br /> <br /> <br /> ==扩展阅读==<br /> <br /> * AI100问：机器学习如何帮助天文学家检测望远镜问题？[http://aigraph.cslt.org/ai100/AI-100-83-机器学习如何帮助天文学家检测望远镜问题.pdf]<br /> <br /> * 最强大射电望远镜亮相由66座天线构成 [https://epaper.qlwb.com.cn/qlwb/content/20130314/ArticelA30002FM.htm]<br /> * 新华社：中国天眼”——500米口径球面射电望远镜（FAST） [https://www.cas.cn/zt/kjzt/fastcg/tp/202201/t20220106_4820923.shtml]<br /> * 大国重器“中国天眼” [https://finance.sina.com.cn/tech/2021-08-18/doc-ikqciyzm2108272.shtml]<br /> * 这只“中国天眼”：看透百亿光年 洞悉星辰大海[https://www.toutiao.com/article/7104433080105959977/]<br /> * 维基百科：中国天眼 [http://aigraph.cslt.org/courses/46/500米口径球面射电望远镜.pdf]<br /> * At 13 Billion Light-Years Away, Galaxy Is Farthest To Be Measured From Earth [https://www.npr.org/sections/thetwo-way/2015/05/08/405280915/at-13-billion-light-years-away-galaxy-is-farthest-to-be-measured-from-earth]<br /> <br /> <br /> ==视频展示==<br /> <br /> * CCTV-9 纪录片《天眼》 [https://www.bilibili.com/video/BV1oy4y1r71Z?spm_id_from=333.337.search-card.all.click]<br /> * 哈伯望远镜传回的照片 [https://www.bilibili.com/video/BV18b411u7re?spm_id_from=333.337.search-card.all.click]<br /> * 纪录片《哈勃望远镜》 [https://www.bilibili.com/video/BV16541197gP?spm_id_from=333.337.search-card.all.click]<br /> * Classifying Galaxies with AI [http://aigraph.cslt.org/courses/46/Classifying_Galaxies.mp4]<br /> * Big data in astronomy [http://aigraph.cslt.org/courses/46/BigDatainAstronomy.mp4]<br /> * AI and space industry [http://aigraph.cslt.org/courses/46/AI-space.mp4]<br /> <br /> <br /> ==演示链接==<br /> <br /> <br /> ==开发者资源==<br /> <br /> * Source code for checking astronomy data (Mesarcik et al.)[https://github.com/mesarcik/DL4DI]<br /> * Source code for DFCN-based RFI detection (Kerrigan et al.) [https://github.com/UPennEoR/ml_rfi]<br /> <br /> ==高级读者==<br /> <br /> * Baron D. Machine learning in astronomy: A practical overview[J]. arXiv preprint arXiv:1904.07248, 2019. [https://arxiv.org/pdf/1904.07248]<br /> * Henry W. Leung1 and Jo Bovy, Deep learning of multi-element abundances from high-resolution spectroscopic data, MNRAS, 2018. [https://arxiv.org/pdf/1808.04428]<br /> * Mesarcik et al, Deep learning assisted data inspection for radio astronomy, MNRAS, 2020. [https://academic.oup.com/mnras/article/496/2/1517/5848205]<br /> * Kerrigan J, Plante P L, Kohn S, et al. Optimizing sparse RFI prediction using deep learning[J]. Monthly Notices of the Royal Astronomical Society, 2019, 488(2): 2605-2615. [https://academic.oup.com/mnras/article/488/2/2605/5529408]</div>

Cslt