Angelo Ciaramella

Prof. Dr. Angelo Ciaramella

Dipartimento di Scienze e Tecnologie, Università degli studi di Napoli “Parthenope”, Centro Direzionale, Isola C4, 80143 Napoli, Italy
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Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2015 in Expert Systems with Applications
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Journal Article
Closed access
Francesco CamastraFrancesco Camastra
Francesco Camastra
ACAngelo Ciaramella
Angelo Ciaramella
VGValeria Giovannelli
Valeria Giovannelli
MLMatteo Lener
Matteo Lener
VRValentina Rastelli
Valentina Rastelli
ASAlfredo Starace
Alfredo Starace

3 May 2004 in Astronomy & Astrophysics
Verified
Journal Article
Open access
PDF file
ACAngelo Ciaramella
Angelo Ciaramella
CBC. Bongardo
C. Bongardo
HAH. D. Aller
H. D. Aller
Margo AllerMargo Aller
Margo Aller
GZG. De Zotti
G. De Zotti
SUS. Urpo
S. Urpo
We have carried out a multifrequency analysis of the radio variability of blazars, exploiting the data obtained during the extensive monitoring programs carried out at the University of Michigan Radio Astronomy Observatory (UMRAO, at 4.8, 8, and 14.5 GHz) and at the Metsähovi Radio Observatory (22 and 37 GHz). Two different techniques detect, in the Metsähovi light curves, evidence of periodicity at both frequencies for 5 sources (0224+671, 0945+408, 1226+023, 2200+420, and 2251+158). For the last three sources, consistent periods are found also at the three UMRAO frequencies and the Scargle (1982) method yields an extremely low false-alarm probability. On the other hand, the 22 and 37 GHz periodicities of 0224+671 and 0945+408 (which were less extensively monitored at Metsähovi and for which we get a significant false-alarm probability) are not confirmed by the UMRAO database, where some indications of ill-defined periods of about a factor of two longer are retrieved. We have also investigated the variability index, the structure function, and the distribution of intensity variations of the most extensively monitored sources. We find a statistically significant difference in the distribution of the variability index for BL Lac objects compared to flat-spectrum radio quasars (FSRQs), in the sense that the former objects are more variable. For both populations the variability index steadily increases with increasing frequency. The distribution of intensity variations also broadens with increasing frequency, and approaches a log-normal shape at the highest frequencies. We find that variability enhances by 20–30% the high frequency counts of extragalactic radio-sources at bright flux densities, such as those of the WMAP and Planck surveys. In all objects with detected periodicity we find evidence for the existence of impulsive signals superimposed on the periodic component.

1 January 2019 in Ecological Informatics
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Journal Article
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ECE. Chianese
E. Chianese
Francesco CamastraFrancesco Camastra
Francesco Camastra
ACAngelo Ciaramella
Angelo Ciaramella
TLT.C. Landi
T.C. Landi
ASA. Staiano
A. Staiano
Angelo RiccioAngelo Riccio
Angelo Riccio

20 September 2005 in International Journal of Approximate Reasoning
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Journal Article
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ACAngelo Ciaramella
Angelo Ciaramella
RTRoberto Tagliaferri
Roberto Tagliaferri
WPWitold Pedrycz
Witold Pedrycz
Antonio Di NolaAntonio Di Nola
Antonio Di Nola

30 April 2008 in Neural Networks
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Journal Article
Closed access
ACAngelo Ciaramella
Angelo Ciaramella
SCS. Cocozza
S. Cocozza
Francesco IorioFrancesco Iorio
Francesco Iorio
GMG. Miele
G. Miele
FNFerdinando Napolitano
Ferdinando Napolitano
RTR. Tagliaferri
R. Tagliaferri

15 March 2012 in Journal of Geophysical Research: Atmospheres
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Journal Article
Closed access
PDF file
Angelo RiccioAngelo Riccio
Angelo Riccio
ACAngelo Ciaramella
Angelo Ciaramella
GGG. Giunta
G. Giunta
SGS. Galmarini
S. Galmarini
ESEfisio Solazzo
Efisio Solazzo
SPS. Potempski
S. Potempski