Marisa Girardi - DAUT, Univ. of Trieste

Marisa Girardi
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Name
Marisa Girardi
Affiliation
DAUT, Univ. of Trieste
City
Trieste
Country
Italy

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Pub Categories

 
Cosmology and Nongalactic Astrophysics (4)
 
Astrophysics (4)
 
Instrumentation and Methods for Astrophysics (1)

Publications Authored By Marisa Girardi

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

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

2010Jul
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

We aim to obtain new insights into the internal dynamics of the cluster Abell 2345. This cluster exhibits two non-symmetric radio relics well studied through recent, deep radio data. Our analysis is based on redshift data for 125 galaxies acquired at the Telescopio Nazionale Galileo and on new photometric data acquired at the Isaac Newton Telescope. Read More

2003Jan
Affiliations: 1INAF, Trieste, 2DAUT, Univ. of Trieste
Category: Astrophysics

We analyze the internal dynamics of 43 non-interacting clusters which are selected from the 2dF Galaxy Redshift Survey 100k public release. We join together the 43 clusters into an ensemble cluster by appropriately scaling their galaxy velocities and clustercentric distances. We solve the Jeans equation for the hydrostatic equilibrium for the member galaxies within the virial radius of the ensemble cluster, assuming isotropic orbits. Read More

2001Feb
Affiliations: 1Dept. of Astronomy, Trieste University, 2Dept. of Astronomy, Trieste University, 3Dept. of Astronomy, Trieste University, 4Dept. of Astronomy, Trieste University, 5Dept. of Astronomy, Trieste University
Category: Astrophysics

We use the two-point correlation function in redshift space, $\xi(s)$, to study the clustering of the galaxies and groups of the Nearby Optical Galaxy (NOG) sample, which is a nearly all-sky, complete, magnitude-limited sample of $\sim$7000 bright and nearby optical galaxies. The correlation function of galaxies is well described by a power law, $\xi(s)=(s/s_0)^{-\gamma}$, with slope $\gamma\sim1.5$ and $s_0\sim6. Read More

1997Nov

The combination of measurements of the local abundance of rich clusters of galaxies and its evolution to higher redshift offers the possibility of a direct measurement of $\Omega_0$ with little contribution from other cosmological parameters. We investigate the significance of recent claims that this evolution indicates that $\Omega_0$ must be small. The most recent cluster velocity dispersion function from a compilation including the ESO Northern Abell Cluster Survey (ENACS) results in a significantly higher normalization for models, corresponding to $\sigma_8\approx 0. Read More

1996Jun
Affiliations: 1Dipartimento di Astronomia, Universita' di Trieste - Sissa - Italy, 2Dipartimento di Astronomia, Universita' di Trieste - Sissa - Italy, 3Dipartimento di Astronomia, Universita' di Trieste - Sissa - Italy, 4Dipartimento di Astronomia, Universita' di Trieste - Sissa - Italy, 5Dipartimento di Astronomia, Universita' di Trieste - Sissa - Italy
Category: Astrophysics

We analyze the internal velocity dispersions of a sample of 172 nearby galaxy clusters (z < 0.15), each of which has at least 30 available galaxy redshifts, and spans a large richness range. Cluster membership selection is based on nonparametric methods. Read More