Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Gianniotis, N."'
Publikováno v:
A&A 674, A83 (2023)
We present a probabilistic cross-correlation approach to estimate time delays in the context of reverberation mapping (RM) of Active Galactic Nuclei (AGN). We reformulate the traditional interpolated cross-correlation method as a statistically princi
Externí odkaz:
http://arxiv.org/abs/2304.05536
Publikováno v:
A&A 657, A126 (2022)
We present a novel Probabilistic Flux Variation Gradient (PFVG) approach to to separate the contributions of active galactic nuclei (AGN) and host galaxies in the context of photometric reverberation mapping (PRM) of AGN. We explored the ability of r
Externí odkaz:
http://arxiv.org/abs/2109.03619
Autor:
Nuñez, F. Pozo, Gianniotis, N., Blex, J., Lisow, T., Chini, R., Polsterer, K. L., Pott, J. -U., Esser, J., Pietrzyński, G.
Publikováno v:
Monthly Notices of the Royal Astronomical Society, Volume 490, Issue 3, December 2019, Pages 3936-3951
We present the results of a two year optical continuum photometric reverberation mapping campaign carried out on the nucleus of the Seyfert-1 galaxy Mrk509. Specially designed narrow-band filters were used in order to mitigate the line and pseudo-con
Externí odkaz:
http://arxiv.org/abs/1912.10319
Autor:
Kügler, S. D., Gianniotis, N.
In this work, we are trying to extent the existing photometric redshift regression models from modeling pure photometric data back to the spectra themselves. To that end, we developed a PCA that is capable of describing the input uncertainty (includi
Externí odkaz:
http://arxiv.org/abs/1607.06059
The Kepler survey has provided a wealth of astrophysical knowledge by continuously monitoring over 150,000 stars. The resulting database contains thousands of examples of known variability types and at least as many that cannot be classified yet. In
Externí odkaz:
http://arxiv.org/abs/1508.03482
Akademický článek
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Akademický článek
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Autor:
Pozo Nuñez, F, Gianniotis, N, Blex, J, Lisow, T, Chini, R, Polsterer, K L, Pott, J-U, Esser, J, Pietrzyński, G
Publikováno v:
Monthly Notices of the Royal Astronomical Society; 12/11/2019, Vol. 490 Issue 3, p3936-3951, 16p
Autor:
K��gler, S. D., Gianniotis, N.
In this work, we are trying to extent the existing photometric redshift regression models from modeling pure photometric data back to the spectra themselves. To that end, we developed a PCA that is capable of describing the input uncertainty (includi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f63a2078909d35d3843e7f251b4a0d1
http://arxiv.org/abs/1607.06059
http://arxiv.org/abs/1607.06059
Publikováno v:
ESANN 2016 : 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 27-29 April 2016. Proceedings, pp. 406-410
ESANN 2016 : 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 27-29 April 2016. Proceedings, 406-410. Bruges : i6doc.com
STARTPAGE=406;ENDPAGE=410;TITLE=ESANN 2016 : 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 27-29 April 2016. Proceedings
ESANN 2016 : 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 27-29 April 2016. Proceedings, 406-410. Bruges : i6doc.com
STARTPAGE=406;ENDPAGE=410;TITLE=ESANN 2016 : 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 27-29 April 2016. Proceedings
Contains fulltext : 159586.pdf (Publisher’s version ) (Open Access) ESANN 2016 : European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 27-29 April 2016
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e6662c1f33ec5738af8856b95f8751ae
https://hdl.handle.net/2066/159586
https://hdl.handle.net/2066/159586