{"id":15860,"date":"2017-06-21T08:38:18","date_gmt":"2017-06-21T12:38:18","guid":{"rendered":"http:\/\/www.astrofisicamas.cl\/?p=15860"},"modified":"2023-08-07T21:14:51","modified_gmt":"2023-08-07T21:14:51","slug":"nuestra-investigacion-usando-herramientas-de-teoria-de-la-informacion-y-gpgpu-para-encontrar-estrellas-variables-periodicas-en-el-sondeo-eros-2","status":"publish","type":"post","link":"https:\/\/astrofisicamas.cl\/en\/nuestra-investigacion-usando-herramientas-de-teoria-de-la-informacion-y-gpgpu-para-encontrar-estrellas-variables-periodicas-en-el-sondeo-eros-2\/","title":{"rendered":"Nuestra investigaci\u00f3n: Usando herramientas de teor\u00eda de la informaci\u00f3n y GPGPU para encontrar estrellas variables peri\u00f3dicas en el sondeo EROS-2"},"content":{"rendered":"<h4><em><strong>Por Pablo Huijse, investigador postdoctoral MAS y del Depto. de Ingenier\u00eda El\u00e9ctrica UChile\u00a0<\/strong><\/em><\/h4>\n<p><!--more--><\/p>\n<p>Hoy en d\u00eda analizar manualmente los grandes vol\u00famenes de datos provenientes de los sondeos astron\u00f3micos es una tarea imposible. Las disciplinas cient\u00edficas de la astro-inform\u00e1tica y astro-estad\u00edstica han sido creadas para lidiar con los desaf\u00edos astron\u00f3micos en la era de Bigdata. <strong>Herramientas estad\u00edsticas robustas e implementaciones computacionales eficientes son necesarias para procesar la avalancha de datos y aprovechar de la mejor manera el tiempo de los expertos.<\/strong><\/p>\n<p><a href=\"http:\/\/adsabs.harvard.edu\/abs\/2015ApJS..216...25P\">En este trabajo<\/a> nos enfocamos en el problema de detecci\u00f3n de periodicidad en curvas de luz del sondeo EROS-2. El periodo es de suma importancia en la clasificaci\u00f3n de estrellas variables y tambi\u00e9n para deducir otros par\u00e1metros tales como la distancia del astro a la Tierra.<\/p>\n<p>Un total de 32.8 millones de curvas de luz de EROS-2 observadas de las nubes de Magallanes fueron analizadas. En este experimento s\u00f3lo se utilizaron observaciones en el canal azul. El per\u00edodo se estima usando una m\u00e9trica robusta de teor\u00eda de la informaci\u00f3n llamada periodograma kernelizado de correntrop\u00eda (CKP por su sigla en ingl\u00e9s). <strong>El CKP es capaz de extraer m\u00e1s informaci\u00f3n a partir de la curva de luz con respecto a m\u00e9todos convencionales y es tambi\u00e9n m\u00e1s robusto al ruido.<\/strong> Luego de computar el periodograma, los periodos espurios debidos a alias con el d\u00eda sideral y el ciclo lunar son filtrados. Luego se lleva a cabo una prueba estad\u00edstica basada en el CKP para seleccionar los periodos con una confianza mayor al 99%. En esta etapa per\u00edodos duplicados debido al traslape de los campos de observaci\u00f3n y al blending (superposici\u00f3n de objetos) son eliminados. Para las periodicidades m\u00e1s fuertes, sustraemos la se\u00f1al peri\u00f3dica y corremos nuestro algoritmo por segunda vez en b\u00fasqueda de periodicidades adicionales y multimodos.<\/p>\n<p>El c\u00f3mputo del CKP se realiza usando arquitecturas paralelas basadas en unidades de procesamiento gr\u00e1fico (GPU por su sigla en ingl\u00e9s). <strong>Las 32.8 millones de curvas de luz son procesadas en 18 horas usando un cluster de 72 GPUs de la iniciativa XSEDE. Encontramos que un 0.4% de las curvas de luz de EROS-2 son peri\u00f3dicas y un 0.002% tiene un segundo periodo.<\/strong> Los resultados sugieren que los cat\u00e1logos pueden ser usados para encontrar variables que no caen en las categor\u00edas conocidas (detecci\u00f3n de novedad). Tambi\u00e9n es posible realizar clasificaci\u00f3n fotom\u00e9trica utilizando los cat\u00e1logos encontrados.<\/p>\n<figure id=\"attachment_15862\" aria-describedby=\"caption-attachment-15862\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/www.astrofisicamas.cl\/wp-content\/uploads\/2017\/06\/2017_06_21_PHuijse2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-15862 size-large\" src=\"http:\/\/www.astrofisicamas.cl\/wp-content\/uploads\/2017\/06\/2017_06_21_PHuijse2-1024x241.jpg\" alt=\"\" width=\"1024\" height=\"241\" \/><\/a><figcaption id=\"caption-attachment-15862\" class=\"wp-caption-text\">Izquierda: Diagrama de color magnitud donde se muestran las curvas de luz peri\u00f3dicas encontradas en EROS-2, el color corresponde al per\u00edodo. Derecha: Ejemplos de curvas de luz con doble periodicidad. El primer per\u00edodo corresponde a una estrella pulsante (columna central), luego de remover dicha se\u00f1al se encuentra una segunda periodicidad asociada a un sistema de eclipse binaria (columna derecha).<\/figcaption><\/figure>","protected":false},"excerpt":{"rendered":"<p>Por Pablo Huijse, investigador postdoctoral MAS y del Depto. de Ingenier\u00eda El\u00e9ctrica UChile\u00a0<\/p>","protected":false},"author":3,"featured_media":29292,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","footnotes":""},"categories":[59],"tags":[],"class_list":["post-15860","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-columnas"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ 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