{"id":747,"date":"2024-12-02T20:28:20","date_gmt":"2024-12-02T20:28:20","guid":{"rendered":"https:\/\/oca.camk.edu.pl\/?p=747"},"modified":"2024-12-09T11:07:47","modified_gmt":"2024-12-09T11:07:47","slug":"a-machine-learning-method-for-predicting-telescope-cycle-time","status":"publish","type":"post","link":"https:\/\/oca.camk.edu.pl\/index.php\/2024\/12\/02\/a-machine-learning-method-for-predicting-telescope-cycle-time\/","title":{"rendered":"A machine learning method for predicting telescope cycle time"},"content":{"rendered":"\n<p>Artificial intelligence is predicting duration of observations at OCM, helping with scheduling and optimization.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-dots\" style=\"background-color:#1b155c;color:#1b155c\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">A machine learning method for predicting telescope cycle time applied to the Cerro Murphy Observatory<\/h3>\n\n\n\n<p><em>M. Kicia, M. Ka\u0142uszy\u0144ski, M. G\u00f3rski, R. Chini, G. Pietrzy\u0144ski<\/em><\/p>\n\n\n\n<p><a href=\"https:\/\/rdcu.be\/d18bu\">2024, Exp Astron 58, 19<\/a><\/p>\n\n\n\n<p>The telescope cycle time estimation (prediction) is one of astronomy\u2019s instrumental issues, which accompanies every astronomer in their daily work, primarily for observation scheduling. Accurate time scheduling is becoming more important in today\u2019s increasingly automated, fully or partial robotic observatories. There are many situations in which timely observations are crucial, e.g. observations of eclipsing binaries, pulsating stars. Therefore, it is crucial to place an observation accurately in order not to miss a specific object phase or the event altogether.<\/p>\n\n\n\n<p>The authors present a fully automatic software that works without any user intervention. The software is based on the Machine Learning method, specifically a polynomial multiple regression method, and trained on the real data from the telescopes of the Cerro Murphy Observatory (OCM). Error evaluation shows that for 84 % of nights, the prediction error in operation time prediction does not exceed 2% (i.e. 12 minutes in for a 10-hour observing night).<\/p>\n\n\n\n<p>The software is already working at OCM and optimizes the efficiency of the observations but can also be used at any other observatory. The code is available on request from the corresponding author.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"607\" src=\"https:\/\/oca.camk.edu.pl\/wp-content\/uploads\/2024\/12\/Kicia2024-fig2-1024x607.jpg\" alt=\"\" class=\"wp-image-754\" style=\"width:652px;height:auto\" srcset=\"https:\/\/oca.camk.edu.pl\/wp-content\/uploads\/2024\/12\/Kicia2024-fig2-1024x607.jpg 1024w, https:\/\/oca.camk.edu.pl\/wp-content\/uploads\/2024\/12\/Kicia2024-fig2-300x178.jpg 300w, https:\/\/oca.camk.edu.pl\/wp-content\/uploads\/2024\/12\/Kicia2024-fig2-768x455.jpg 768w, https:\/\/oca.camk.edu.pl\/wp-content\/uploads\/2024\/12\/Kicia2024-fig2.jpg 1385w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Sample chart of the ZB08 telescope. The total time ratio of time-consuming tasks is shown for a model trained on 3074 observations<\/figcaption><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"694\" src=\"https:\/\/oca.camk.edu.pl\/wp-content\/uploads\/2024\/12\/Kicia2024-fig3-1024x694.png\" alt=\"\" class=\"wp-image-755\" style=\"width:658px;height:auto\" srcset=\"https:\/\/oca.camk.edu.pl\/wp-content\/uploads\/2024\/12\/Kicia2024-fig3-1024x694.png 1024w, https:\/\/oca.camk.edu.pl\/wp-content\/uploads\/2024\/12\/Kicia2024-fig3-300x203.png 300w, https:\/\/oca.camk.edu.pl\/wp-content\/uploads\/2024\/12\/Kicia2024-fig3-768x521.png 768w, https:\/\/oca.camk.edu.pl\/wp-content\/uploads\/2024\/12\/Kicia2024-fig3.png 1385w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Prediction error for all observations for the ZB08 telescope of the sample of 3074 observations.<\/figcaption><\/figure>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence is predicting duration of observations at OCM, helping with scheduling and optimization.<\/p>\n","protected":false},"author":1,"featured_media":750,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[32,27,28],"class_list":["post-747","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science","tag-software","tag-wk06","tag-zb08"],"_links":{"self":[{"href":"https:\/\/oca.camk.edu.pl\/index.php\/wp-json\/wp\/v2\/posts\/747","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oca.camk.edu.pl\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/oca.camk.edu.pl\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/oca.camk.edu.pl\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/oca.camk.edu.pl\/index.php\/wp-json\/wp\/v2\/comments?post=747"}],"version-history":[{"count":6,"href":"https:\/\/oca.camk.edu.pl\/index.php\/wp-json\/wp\/v2\/posts\/747\/revisions"}],"predecessor-version":[{"id":758,"href":"https:\/\/oca.camk.edu.pl\/index.php\/wp-json\/wp\/v2\/posts\/747\/revisions\/758"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oca.camk.edu.pl\/index.php\/wp-json\/wp\/v2\/media\/750"}],"wp:attachment":[{"href":"https:\/\/oca.camk.edu.pl\/index.php\/wp-json\/wp\/v2\/media?parent=747"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/oca.camk.edu.pl\/index.php\/wp-json\/wp\/v2\/categories?post=747"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/oca.camk.edu.pl\/index.php\/wp-json\/wp\/v2\/tags?post=747"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}