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Jutta Schnabel (Friedrich-Alexander Universität Erlangen-Nürnberg)05/02/2020 11:00
In this presentation, an overview is given over the efforts of the KM3NeT collaboration to include the requirements for FAIR data already at the early stages of the construction of the high-energy neutrino experiment. Producing scientific results both in the fields of particle physics and astrophysics, the KM3NeT software and data management build both on HEP technologies and move towards the...
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Markus Demleitner05/02/2020 11:20
In this talk, I will briefly review the goals of the effort of updating Vocabularies in the VO and the current ideas on how to reach them. Based on this, I will discuss how the first few Vocabulary Enhancement Proposals (which are the means of vocabulary management forseen in the WD) went and what conclusions I draw from that.
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Marco Molinaro (INAF)05/02/2020 11:40
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Nima Sedaghat (ESO)05/02/2020 12:00
In this talk I will go over our recent efforts in utilization of deep learning techniques towards making sense of big astronomical archives. Particularly we will see a demo of the first prototype of RETR-SPECT: a retrieval engine for spectra. I will follow with an exemplar illustration of how we can learn from (BIG) data in astronomy.
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