D. De Cicco
University of Naples Federico II
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by D. De Cicco.
Astronomy and Astrophysics | 2015
Enrico Cappellaro; M. T. Botticella; Giuliano Pignata; A. Grado; Laura Greggio; L. Limatola; M. Vaccari; Andrea Baruffolo; Stefano Benetti; F. Bufano; M. Capaccioli; E. Cascone; G. Covone; D. De Cicco; S. Falocco; M. Della Valle; M. J. Jarvis; L. Marchetti; N. R. Napolitano; M. Paolillo; Andrea Pastorello; M. Radovich; Pietro Schipani; S. Spiro; L. Tomasella; M. Turatto
Aims. We describe the observing strategy, data reduction tools, and early results of a supernova (SN) search project, named SUDARE, conducted with the ESO VST telescope, which is aimed at measuring the rate of the different types of SNe in the redshift range 0.2 < z < 0.8. Methods. The search was performed in two of the best studied extragalactic fields, CDFS and COSMOS, for which a wealth of ancillary data are available in the literature or in public archives. We developed a pipeline for the data reduction and rapid identification of transients. As a result of the frequent monitoring of the two selected fields, we obtained light curve and colour information for the transients sources that were used to select and classify SNe by means of an especially developed tool. To accurately characterise the surveyed stellar population, we exploit public data and our own observations to measure the galaxy photometric redshifts and rest frame colours. Results. We obtained a final sample of 117 SNe, most of which are SN Ia (57%) with the remaining ones being core collapse events, of which 44% are type II, 22% type IIn and 34% type Ib/c. To link the transients, we built a catalogue of ~1.3 × 105 galaxies in the redshift range 0 < z ≤ 1, with a limiting magnitude KAB = 23.5 mag. We measured the SN rate per unit volume for SN Ia and core collapse SNe in different bins of redshifts. The values are consistent with other measurements from the literature. Conclusions. The dispersion of the rate measurements for SNe-Ia is comparable to the scatter of the theoretical tracks for single degenerate (SD) and double degenerate (DD) binary systems models, therefore it is not possible to disentangle among the two different progenitor scenarios. However, among the three tested models (SD and the two flavours of DD that either have a steep DDC or a wide DDW delay time distribution), the SD appears to give a better fit across the whole redshift range, whereas the DDC better matches the steep rise up to redshift ~1.2. The DDW instead appears to be less favoured. Unlike recent claims, the core collapse SN rate is fully consistent with the prediction that is based on recent estimates of star formation history and standard progenitor mass range.
Astronomy and Astrophysics | 2015
D. De Cicco; M. Paolillo; G. Covone; S. Falocco; Giuseppe Longo; A. Grado; L. Limatola; M. T. Botticella; Giuliano Pignata; Enrico Cappellaro; M. Vaccari; Dario Trevese; F. Vagnetti; M. Salvato; M. Radovich; W. N. Brandt; M. Capaccioli; N. R. Napolitano; Pietro Schipani
Optical variability has proven to be an effective way of detecting AGNs in imaging surveys, lasting from weeks to years. In the present work we test its use as a tool to identify AGNs in the VST multi-epoch survey of the COSMOS field, originally tailored to detect supernova events. We make use of the multi-wavelength data provided by other COSMOS surveys to discuss the reliability of the method and the nature of our AGN candidates. Our selection returns a sample of 83 AGN candidates; based on a number of diagnostics, we conclude that 67 of them are confirmed AGNs (81% purity), 12 are classified as supernovae, while the nature of the remaining 4 is unknown. For the subsample of AGNs with some spectroscopic classification, we find that Type 1 are prevalent (89%) compared to Type 2 AGNs (11%). Overall, our approach is able to retrieve on average 15% of all AGNs in the field identified by means of spectroscopic or X-ray classification, with a strong dependence on the source apparent magnitude. In particular, the completeness for Type 1 AGNs is 25%, while it drops to 6% for Type 2 AGNs. The rest of the X-ray selected AGN population presents on average a larger r.m.s. variability than the bulk of non variable sources, indicating that variability detection for at least some of these objects is prevented only by the photometric accuracy of the data. We show how a longer observing baseline would return a larger sample of AGN candidates. Our results allow us to assess the usefulness of this AGN selection technique in view of future wide-field surveys.
Astronomy and Astrophysics | 2015
S. Falocco; M. Paolillo; G. Covone; D. De Cicco; G. Longo; A. Grado; L. Limatola; M. Vaccari; M. T. Botticella; Giuliano Pignata; Enrico Cappellaro; Dario Trevese; F. Vagnetti; M. Salvato; M. Radovich; Li-Ting Hsu; M. Capaccioli; N. R. Napolitano; W. N. Brandt; Andrea Baruffolo; E. Cascone; Pietro Schipani
Context. One of the most peculiar characteristics of Active Galactic Nuclei (AGN) is their variability over all wavelengths. This property has been used in the past to select AGN samples and is foreseen to be one of the detection techniques applied in future multi-epoch surveys, complementing photometric and spectroscopic methods. Aims. In this paper, we aim to construct and characterise an AGN sample using a multi-epoch dataset in the r band from the SUDAREVOICE survey. Methods. Our work makes use of the VST monitoring program of an area surrounding the Chandra Deep Field South to select variable sources. We use data spanning a six month period over an area of 2 square degrees, to identify AGN based on their photometric variability. Results. The selected sample includes 175 AGN candidates with magnitude r < 23 mag. We distinguish different classes of variable sources through their lightcurves, as well as X-ray, spectr oscopic, SED, optical and IR information overlapping with our survey. Conclusions. We find that 12% of the sample (21/175) is represented by SN. Of the remaining sources, 4% (6/154) are stars, while 66% (102/154) are likely AGNs based on the available diagnostics. We estimate an upper limit to the contamination of the variabili ty selected AGN sample≃ 34%, but we point out that restricting the analysis to the sources with available multi-wavelength ancillary information, the purity of our sample is close to 80% (102 AGN out of 128 non-SN sources with multi-wavelength diagnostics). Our work thus confirms the effi ciency of the variability selection method in agreement with our previous work on the COSMOS field; in addition we show that the variability approach is roughly consistent with the infrared selection.
arXiv: Astrophysics of Galaxies | 2017
M. Vaccari; G. Covone; M. Radovich; A. Grado; L. Limatola; M. T. Botticella; Enrico Cappellaro; M. Paolillo; Giuliano Pignata; D. De Cicco; S. Falocco; L. Marchetti; Massimo Brescia; Stefano Cavuoti; G. Longo; M. Capaccioli; N. R. Napolitano; Pietro Schipani
We present the VST Optical Imaging of the CDFS and ES1 Fields (VOICE) Survey, a VST INAF Guaranteed Time program designed to provide optical coverage of two 4 deg
Astronomy and Astrophysics | 2017
M. T. Botticella; Enrico Cappellaro; Laura Greggio; Giuliano Pignata; M. Della Valle; A. Grado; L. Limatola; Andrea Baruffolo; Stefano Benetti; F. Bufano; M. Capaccioli; E. Cascone; G. Covone; D. De Cicco; Serena Falocco; B. Haeussler; V. Harutyunyan; M. J. Jarvis; L. Marchetti; N. R. Napolitano; M. Paolillo; Andrea Pastorello; M. Radovich; Pietro Schipani; L. Tomasella; M. Turatto; M. Vaccari
^2
Astronomy and Astrophysics | 2018
D. De Cicco; W. N. Brandt; C. J. Grier; M. Paolillo; N. Filiz Ak; Donald P. Schneider; Jonathan R. Trump
cosmic windows in the Southern hemisphere. VOICE provides the first, multi-band deep optical imaging of these sky regions, thus complementing and enhancing the rich legacy of longer-wavelength surveys with VISTA, Spitzer, Herschel and ATCA available in these areas and paving the way for upcoming observations with facilities such as the LSST, MeerKAT and the SKA. VOICE exploits VSTs OmegaCAM optical imaging capabilities and completes the reduction of WFI data available within the ES1 fields as part of the ESO-Spitzer Imaging Extragalactic Survey (ESIS) program providing
arXiv: Astrophysics of Galaxies | 2016
S. Falocco; D. De Cicco; M. Paolillo; G. Covone; G. Longo; A. Grado; L. Limatola; M. Vaccari; M. T. Botticella; Giuliano Pignata; Enrico Cappellaro; Dario Trevese; F. Vagnetti; M. Salvato; M. Radovich; Li-Ting Hsu; W. N. Brandt; M. Capaccioli; N. R. Napolitano; Andrea Baruffolo; E. Cascone; Pietro Schipani
ugri
Conference on Universe of Digital Sky Surveys, 2014 | 2016
D. De Cicco; S. Falocco; M. Paolillo; G. Covone; G. Longo; A. Grado; L. Limatola; M. T. Botticella; Giuliano Pignata; Enrico Cappellaro; M. Vaccari; Dario Trevese; F. Vagnetti; M. Salvato; M. Radovich; W. N. Brandt; M. Capaccioli; N. R. Napolitano; Pietro Schipani
and
arXiv: Astrophysics of Galaxies | 2018
D. De Cicco; W. N. Brandt; C. J. Grier; M. Paolillo; N. Filiz Ak; Donald P. Schneider; Jonathan R. Trump
uBVR
Active Galactic Nuclei: what’s in a name? | 2016
D. De Cicco; C. J. Grier; M. Paolillo; W. N. Brandt
coverage of 4 and 4 deg