Amata Mercurio
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Amata Mercurio

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Cosmology and Nongalactic Astrophysics (12)
Instrumentation and Methods for Astrophysics (7)
Astrophysics of Galaxies (3)
Computer Science - Computer Vision and Pattern Recognition (1)

Publications Authored By Amata Mercurio

In the current data-driven science era, it is needed that data analysis techniques has to quickly evolve to face with data whose dimensions has increased up to the Petabyte scale. In particular, being modern astrophysics based on multi-wavelength data organized into large catalogues, it is crucial that the astronomical catalog cross-matching methods, strongly dependant from the catalogues size, must ensure efficiency, reliability and scalability. Furthermore, multi-band data are archived and reduced in different ways, so that the resulting catalogues may differ each other in formats, resolution, data structure, etc, thus requiring the highest generality of cross-matching features. Read More

Since galaxy clusters sit at the high-end of the mass function, the number of galaxy clusters both massive and concentrated enough to yield particularly large Einstein radii poses useful constraints on cosmological and structure formation models. To date, less than a handful of clusters are known to have Einstein radii exceeding $\sim40$" (for a source at $z_{s}\simeq2$, nominally). Here, we report an addition to that list of the Sunyaev-Zel'dovich (SZ) selected cluster, PLCK G287. Read More

The emerging need for efficient, reliable and scalable astronomical catalog cross-matching is becoming more pressing in the current data-driven science era, where the size of data has rapidly increased up to the Petabyte scale. C3 (Command-line Catalogue Cross-matching) is a multi-platform tool designed to efficiently cross-match massive catalogues from modern astronomical surveys, ensuring high-performance capabilities through the use of a multi-core parallel processing paradigm. The tool has been conceived to be executed as a stand-alone command-line process or integrated within any generic data reduction/analysis pipeline, providing the maximum flexibility to the end user, in terms of parameter configuration, coordinates and cross-matching types. Read More

Modern Astrophysics is based on multi-wavelength data organized into large and heterogeneous catalogues. Hence, the need for efficient, reliable and scalable catalogue cross-matching methods plays a crucial role in the era of the petabyte scale. Furthermore, multi-band data have often very different angular resolution, requiring the highest generality of cross-matching features, mainly in terms of region shape and resolution. Read More

We reconstruct the radial profile of the projected gravitational potential of the galaxy cluster MACS-J1206 from 592 spectroscopic measurements of velocities of cluster members. For doing so, we use a method we have developed recently based on the Richardson-Lucy deprojection algorithm and an inversion of the spherically-symmetric Jeans equation. We find that, within the uncertainties, our reconstruction agrees very well with a potential reconstruction from weak and strong gravitational lensing as well as with a potential obtained from X-ray measurements. Read More

We present an innovative method called FilExSeC (Filaments Extraction, Selection and Classification), a data mining tool developed to investigate the possibility to refine and optimize the shape reconstruction of filamentary structures detected with a consolidated method based on the flux derivative analysis, through the column-density maps computed from Herschel infrared Galactic Plane Survey (Hi-GAL) observations of the Galactic plane. The present methodology is based on a feature extraction module followed by a machine learning model (Random Forest) dedicated to select features and to classify the pixels of the input images. From tests on both simulations and real observations the method appears reliable and robust with respect to the variability of shape and distribution of filaments. Read More

We present results from a comprehensive lensing analysis in HST data, of the complete CLASH cluster sample. We identify new multiple-images previously undiscovered allowing improved or first constraints on the cluster inner mass distributions and profiles. We combine these strong-lensing constraints with weak-lensing shape measurements within the HST FOV to jointly constrain the mass distributions. Read More


We investigate the environmental dependence of the mass-metallicty (MZ) relation and it's connection to galaxy stellar structures and morphologies. In our studies, we analyze galaxies in massive clusters at z~0.4 from the CLASH (HST) and CLASH-VLT surveys and measure their gas metallicities, star-formation rates, stellar structures and morphologies. Read More

A pressureless scenario for the Dark Matter (DM) fluid is a widely adopted hypothesis, despite the absence of a direct observational evidence. According to general relativity, the total mass-energy content of a system shapes the gravitational potential well, but different test particles perceive this potential in different ways depending on their properties. Cluster galaxy velocities, being $\ll$c, depend solely on the gravitational potential, whereas photon trajectories reflect the contributions from the gravitational potential plus a relativistic-pressure term that depends on the cluster mass. Read More

In this work we analyze the mass distribution of MACSJ1206.2-0847, especially focusing on the halo properties of its cluster members. The cluster appears relaxed in its X-ray emission, but has significant amounts of intracluster light which is not centrally concentrated, suggesting that galaxy-scale interactions are still ongoing despite the overall relaxed state. Read More

Context. Since the advent of modern multiband digital sky surveys, photometric redshifts (photo-z's) have become relevant if not crucial to many fields of observational cosmology, from the characterization of cosmic structures, to weak and strong lensing. Aims. Read More

We present panoramic Spitzer/MIPS mid- and far-infrared and GALEX ultraviolet imaging of the the most massive and dynamically active system in the local Universe, the Shapley supercluster at z=0.048, covering the 5 clusters which make up the supercluster core. We combine these data with existing spectroscopic data from 814 confirmed supercluster members to produce the first study of a local rich cluster including both ultraviolet and infrared luminosity functions (LFs). Read More

We present a joint analysis of panoramic Spitzer/MIPS mid-infrared and GALEX ultraviolet imaging of the Shapley supercluster at z=0.048. Combining this with spectra of 814 supercluster members and 1. Read More

Authors: Angelo Antonelli, Vincenzo Antonuccio-Delogu, Andrea Baruffolo, Stefano Benetti, Simone Bianchi, Andrea Biviano, Annalisa Bonafede, Marco Bondi, Stefano Borgani, Angela Bragaglia, Massimo Brescia, John Robert Brucato, Gianfranco Brunetti, Riccardo Brunino, Michele Cantiello, Viviana Casasola, Rossella Cassano, Alberto Cellino, Gabriele Cescutti, Andrea Cimatti, Andrea Comastri, Edvige Corbelli, Giovanni Cresci, Serena Criscuoli, Stefano Cristiani, Guido Cupani, Sabrina De Grandi, Valerio D'Elia, Melania Del Santo, Gabriella De Lucia, Silvano Desidera, Marcella Di Criscienzo, Valentina D'Odorico, Elisabetta Dotto, Fabio Fontanot, Mario Gai, Simona Gallerani, Stefano Gallozzi, Bianca Garilli, Isabella Gioia, Marisa Girardi, Myriam Gitti, Gianluigi Granato, Raffaele Gratton, Andrea Grazian, Carlotta Gruppioni, Leslie Hunt, Giuseppe Leto, Gianluca Israel, Manuela Magliocchetti, Laura Magrini, Gabriele Mainetti, Filippo Mannucci, Alessandro Marconi, Martino Marelli, Michele Maris, Francesca Matteucci, Massimo Meneghetti, Aniello Mennella, Amata Mercurio, Silvano Molendi, Pierluigi Monaco, Alessia Moretti, Giuseppe Murante, Fabrizio Nicastro, Marina Orio, Adamantia Paizis, Francesca Panessa, Fabio Pasian, Laura Pentericci, Lucia Pozzetti, Mariachiara Rossetti, Joana S. Santos, Alexandro Saro, Raffaella Schneider, Laura Silva, Roberto Silvotti, Richard Smart, Andrea Tiengo, Luca Tornatore, Paolo Tozzi, Edoardo Trussoni, Tiziano Valentinuzzi, Eros Vanzella, Franco Vazza, Alberto Vecchiato, Tiziana Venturi, Giacomo Vianello, Matteo Viel, Alvaro Villalobos, Valentina Viotto, Benedetta Vulcani

On May 27th 2010, the Italian astronomical community learned with concern that the National Institute for Astrophysics (INAF) was going to be suppressed, and that its employees were going to be transferred to the National Research Council (CNR). It was not clear if this applied to all employees (i.e. Read More