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Mr Avdeeva Aleksandra
HSE University, Moscow/Institute of Astronomy of Russian Academy of Sciences, Moscow, Russia
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The selection of extreme objects in the data from large-scale sky surveys is a powerful tool for the detection of new classes of astrophysical objects or rare stages of their evolution. The cross-matching of catalogues and analysis of the color indices of their objects is a usual approach for this problem which has already provided a lot of interesting results. However, the analysis of objects that are found in only one of the surveys, and absent in all others, should also attract close attention, as it may lead to the discovery of both transients and objects with extreme color values. We report on our study aimed at the detection of objects with significant UV excess in their spectra by cross-matching of the GALEX all-sky catalogue with the data from optical large-scale experiments, especially from the Dark Energy Survey, and analyzing the ones visible in GALEX only, or having extreme UV to optical colors. We describe the methodology for such investigation, discuss the obstacles and artifacts that may mimic such extreme objects, and present the results of the study covering a significant part of the Southern sky.

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Mr. Avdeeva Aleksandra is a PhD student at HSE University, Moscow, and a junior researcher at the Institute of Astronomy of Russian Academy of Sciences. My research interests are sky surveys, astrostatistics and machine learning. I am a team member of the joint research project "Search and Follow-up Studies of Time-domain Astronomical Sources using Sky Surveys, BRICS Telescopes and Artificial Intelligence(SAPTARISI)". 
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Santosh Joshi
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