با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Mega-Archive and the EURONEAR tools for data mining world astronomical images
Mega-Archive و ابزارهای EURONEAR برای داده نویسی تصاویر نجومی جهان-2020 The world astronomical image archives offer huge opportunities to time-domain astronomy sciences
and other hot topics such as space defense, and astronomical observatories should improve this wealth
and make it more accessible in the big data era. In 2010 we introduced the Mega-Archive database and
the Mega-Precovery server for data mining images serendipitously containing Solar system bodies, with
focus on near Earth asteroids (NEAs). This paper presents the improvements and introduces some
new related data mining tools developed during the last years. Currently, Mega-Archive indexed 15
million images available from six major collections and other instrument archives and surveys. This
meta-data index collection is daily updated by a crawler which performs automated query of five
major collections. Since 2016, these data mining tools are installed on the new dedicated EURONEAR
server, and the database migrated to SQL which supports robust and fast queries. To constrain the
area to search for moving or fixed objects in images taken by large mosaic cameras, we built the
graphical tools FindCCD and FindCCD for Fixed Objects which overlay the targets across one of seven
mosaic cameras, plotting the uncertainty ellipse for poorly observed NEAs. In 2017 we improved
Mega-Precovery, which offers now two options for the ephemerides and three options for the input
(objects defined by designation, orbit or observations). Additionally, we developed Mega-Archive for
Fixed Objects (MASFO) and Mega-Archive Search for Double Stars (MASDS). We include a few use case
scenarios and we compare our data mining tools with other few similar services. The huge potential
of science imaging archives is still insufficiently exploited. Their use could be strongly enhanced by
defining a standard format needed to index the image archives. We recommend to the IAU to define
such a standard, asking the observatories to index their image archives in a homogeneous manner. Keywords: Data mining | Asteroids | Near Earth asteroids (NEAs) | Image archives | Mega-Archive | Mega-Precovery |
مقاله انگلیسی |