Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Antonio D'Isanto"'
Publikováno v:
Intelligent Astrophysics ISBN: 9783030658663
Among the many challenges posed by the huge data volumes produced by the new generation of astronomical instruments there is also the search for rare and peculiar objects. Unsupervised outlier detection algorithms may provide a viable solution. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fa5ea13c39bbd57c806ea413e02ad30
https://doi.org/10.1007/978-3-030-65867-0_9
https://doi.org/10.1007/978-3-030-65867-0_9
Autor:
Antonio D'Isanto
Publikováno v:
Astroinformatics
The need for accurate photometric redshifts estimation is a topic that has fundamental importance in Astronomy, due to the necessity of efficiently obtaining redshift information without the need of spectroscopic analysis. We propose a method for det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2c4f178fc44a970bc541f4d5166f581
http://arxiv.org/abs/1703.01979
http://arxiv.org/abs/1703.01979
Autor:
Stefano Cavuoti, Antonio D'Isanto, Massimo Brescia, Ciro Donalek, S. G. Djorgovski, Giuseppe Riccio, Giuseppe Longo
The exploitation of present and future synoptic (multi-band and multi-epoch) surveys requires an extensive use of automatic methods for data processing and data interpretation. In this work, using data extracted from the Catalina Real Time Transient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aab08524038cd82a9bafb9b3d00f0e4b
https://resolver.caltech.edu/CaltechAUTHORS:20160509-092928454
https://resolver.caltech.edu/CaltechAUTHORS:20160509-092928454
Autor:
Antonio D'Isanto, Kai Lars Polsterer
Publikováno v:
Astronomy & Astrophysics. 609:A111
Context. The need to analyze the available large synoptic multi-band surveys drives the development of new data-analysis methods. Photometric redshift estimation is one field of application where such new methods improved the results, substantially.