12 results on '"L. P. Cassarà"'
Search Results
2. WEAVE-StePS. A stellar population survey using WEAVE at WHT
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A. Iovino, B. M. Poggianti, A. Mercurio, M. Longhetti, M. Bolzonella, G. Busarello, M. Gullieuszik, F. La Barbera, P. Merluzzi, L. Morelli, C. Tortora, D. Vergani, S. Zibetti, C. P. Haines, L. Costantin, F. R. Ditrani, L. Pozzetti, J. Angthopo, M. Balcells, S. Bardelli, C. R. Benn, M. Bianconi, L. P. Cassarà, E. M. Corsini, O. Cucciati, G. Dalton, A. Ferré-Mateu, M. Fossati, A. Gallazzi, R. García-Benito, B. Granett, R. M. González Delgado, A. Ikhsanova, E. Iodice, S. Jin, J. H. Knapen, S. McGee, A. Moretti, D. N. A. Murphy, L. Peralta de Arriba, A. Pizzella, P. Sánchez-Blázquez, C. Spiniello, M. Talia, S. C. Trager, A. Vazdekis, B. Vulcani, E. Zucca, Iovino, A, Poggianti, B, Mercurio, A, Longhetti, M, Bolzonella, M, Busarello, G, Gullieuszik, M, La Barbera, F, Merluzzi, P, Morelli, L, Tortora, C, Vergani, D, Zibetti, S, Haines, C, Costantin, L, Ditrani, F, Pozzetti, L, Angthopo, J, Balcells, M, Bardelli, S, Benn, C, Bianconi, M, Cassara, L, Corsini, E, Cucciati, O, Dalton, G, Ferre-Mateu, A, Fossati, M, Gallazzi, A, Garcia-Benito, R, Granett, B, Gonzalez Delgado, R, Ikhsanova, A, Iodice, E, Jin, S, Knapen, J, Mcgee, S, Moretti, A, Murphy, D, Peralta De Arriba, L, Pizzella, A, Sanchez-Blazquez, P, Spiniello, C, Talia, M, Trager, S, Vazdekis, A, Vulcani, B, Zucca, E, Ministerio de Ciencia e Innovación (España), Comunidad de Madrid, European Commission, and Istituto Nazionale di Astrofisica
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Galaxies: statistic ,Space and Planetary Science ,galaxies: star formation ,Astrophysics of Galaxies (astro-ph.GA) ,galaxies: stellar content ,galaxies: formation ,FOS: Physical sciences ,Astronomy and Astrophysics ,galaxies: evolution ,galaxies: general ,galaxies: statistics ,Astrophysics - Astrophysics of Galaxies - Abstract
Full list of authors: Iovino, A.; Poggianti, B. M.; Mercurio, A.; Longhetti, M.; Bolzonella, M.; Busarello, G.; Gullieuszik, M.; La Barbera, F.; Merluzzi, P.; Morelli, L.; Tortora, C.; Vergani, D.; Zibetti, S.; Haines, C. P.; Costantin, L.; Ditrani, F. R.; Pozzetti, L.; Angthopo, J.; Balcells, M.; Bardelli, S.; Benn, C. R.; Bianconi, M.; Cassara, L. P.; Corsini, E. M.; Cucciati, O.; Dalton, G.; Ferre-Mateu, A.; Fossati, M.; Gallazzi, A.; Garcia-Benito, R.; Granett, B.; Delgado, R. M. Gonzalez; Ikhsanova, A.; Iodice, E.; Jin, S.; Knapen, J. H.; McGee, S.; Moretti, A.; Murphy, D. N. A.; de Arriba, L. Peralta; Pizzella, A.; Sanchez-Blazquez, P.; Spiniello, C.; Talia, M.; Trager, S. C.; Vazdekis, A.; Vulcani, B.; Zucca, E.--This is an Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited., Context. The upcoming new generation of optical spectrographs on four-meter-class telescopes will provide valuable opportunities for forthcoming galaxy surveys through their huge multiplexing capabilities, excellent spectral resolution, and unprecedented wavelength coverage. Aims. WEAVE is a new wide-field spectroscopic facility mounted on the 4.2 m William Herschel Telescope in La Palma. WEAVE-StePS is one of the five extragalactic surveys that will use WEAVE during its first five years of operations. It will observe galaxies using WEAVE MOS (∼950 fibres distributed across a field of view of ∼3 square degrees on the sky) in low-resolution mode (R ∼ 5000, spanning the wavelength range 3660 − 9590 Å). Methods. WEAVE-StePS will obtain high-quality spectra (S/N ∼ 10 Å−1 at R ∼ 5000) for a magnitude-limited (IAB = 20.5) sample of ∼25 000 galaxies, the majority selected at z ≥ 0.3. The survey goal is to provide precise spectral measurements in the crucial interval that bridges the gap between LEGA-C and SDSS data. The wide area coverage of ∼25 square degrees will enable us to observe galaxies in a variety of environments. The ancillary data available in each of the observed fields (including X-ray coverage, multi-narrow-band photometry and spectroscopic redshift information) will provide an environmental characterisation for each observed galaxy. Results. This paper presents the science case of WEAVE-StePS, the fields to be observed, the parent catalogues used to define the target sample, and the observing strategy that was chosen after a forecast of the expected performance of the instrument for our typical targets. Conclusions. WEAVE-StePS will go back further in cosmic time than SDSS, extending its reach to encompass more than ∼6 Gyr. This is nearly half of the age of the Universe. The spectral and redshift range covered by WEAVE-StePS will open a new observational window by continuously tracing the evolutionary path of galaxies in the largely unexplored intermediate-redshift range. © The Authors 2023., Funding for the WEAVE facility has been provided by UKRI STFC, the University of Oxford, NOVA, NWO, Instituto de Astrofísica de Canarias (IAC), the Isaac Newton Group partners (STFC, NWO, and Spain, led by the IAC), INAF, CNRS-INSU, the Observatoire de Paris, Région Île-de-France, CONCYT through INAOE, Konkoly Observatory (CSFK), Max-Planck-Institut für Astronomie (MPIA Heidelberg), Lund University, the Leibniz Institute for Astrophysics Potsdam (AIP), the Swedish Research Council, the European Commission, and the University of Pennsylvania. The WEAVE Survey Consortium consists of the ING, its three partners, represented by UKRI STFC, NWO, and the IAC, NOVA, INAF, GEPI, INAOE, and individual WEAVE Participants. Please see the relevant footnotes for the WEAVE website (https://ingconfluence.ing.iac.es/confluence//display/WEAV/The+WEAVE+Project) and for the full list of granting agencies and grants supporting WEAVE (https://ingconfluence.ing.iac.es/confluence/display/WEAV/WEAVE+Acknowledgements). This work makes use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular, the institutions participating in the Gaia Multilateral Agreement. This work makes use of data from the VIMOS VLT Deep Survey, the VIPERS-MLS database and the HST-COSMOS database, operated by CeSAM/Laboratoire d’Astrophysique de Marseille, France. This work makes use of observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/IRFU, at the Canada-France-Hawaii Telescope (CFHT) which is operated by the National Research Council (NRC) of Canada, the Institut National des Science de l’Univers of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii. This work makes use of data products produced at Terapix available at the Canadian Astronomy Data Centre as part of the Canada-France-Hawaii Telescope Legacy Survey, a collaborative project of NRC and CNRS. R.G.B. and R.G.D. acknowledge financial support from the grants CEX2021-001131-S funded by MCIN/AEI/10.13039/501100011033, SEV-2017-0709, and to PID2019-109067-GB100. A.F.M. acknowledges financial support from grant CEX2019-000920-S from the Spanish Ministry of Science and Innovation. M.Bi. acknowledges support from STFC grant numbers ST/N021702/1 C.S. is supported by a ‘Hintze Fellow’ at the Oxford Centre for Astrophysical Surveys, which is funded through generous support from the Hintze Family Charitable Foundation. G.B., M.Bo., F.R.D., A.I., F.L.B., M.L., P.M., B.P., C.T., D.V., and S.Z. acknowledge financial support from INAF funds, program 1.05.01.86.16 – Mainstream 2019. L.C. acknowledges financial support from Comunidad de Madrid under Atracción de Talento grant 2018-T2/TIC-11612. J.A. acknowledges financial support from INAF-WEAVE funds, program 1.05.03.04.05 and INAF-OABrera funds, program 1.05.01.01. J.H.K. acknowledges financial support from the State Research Agency (AEI-MCINN) of the Spanish Ministry of Science and Innovation under the grant “The structure and evolution of galaxies and their central regions” with reference PID2019-105602GB-I00/10.13039/501100011033, and from the ACIISI, Consejería de Economía, Conocimiento y Empleo del Gobierno de Canarias and the European Regional Development Fund (ERDF) under grant with reference PROID2021010044. A special thanks to Daniela Bettoni for her suggestions and comments and to the anonymous referee for his/her useful comments.
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- 2023
3. A powerful (and likely young) radio-loud quasar at z = 5.3
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S. Belladitta, A. Moretti, A. Caccianiga, D. Dallacasa, C. Spingola, M. Pedani, L. P. Cassarà, and S. Bisogni
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High Energy Astrophysical Phenomena (astro-ph.HE) ,Space and Planetary Science ,Astrophysics of Galaxies (astro-ph.GA) ,FOS: Physical sciences ,Astronomy and Astrophysics ,Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Astrophysics of Galaxies - Abstract
We present the discovery of PSO J191.05696$+$86.43172 (hereafter PSO J191$+$86), a new powerful radio-loud quasar (QSO) in the early Universe (z = 5.32). We discovered it by cross-matching the NRAO VLA Sky Survey (NVSS) radio catalog at 1.4 GHz with the first data release of the Panoramic Survey Telescope and Rapid Response System (Pan-STARRS PS1) in the optical. With a NVSS flux density of 74.2 mJy, PSO J191$+$86 is one of the brightest radio QSO discovered at z$\sim$5. The intensity of its radio emission is also confirmed by the very high value of radio loudness (R>300). The observed radio spectrum of PSO J191$+$86 shows a possible turnover around $\sim$1 GHz (i.e., $\sim$6 GHz in the rest frame), making it a Gigahertz-Peaked Spectrum (GPS) source. However, variability could affect the real shape of the radio spectrum, since the data in hand have been taken $\sim$25 years apart. By assuming a peak of the observed radio spectrum between 1 and 2 GHz (i.e. $\sim$ 6 and 13 GHz in the rest-frame) we found a linear size of the source of $\sim$10-30 pc and a corresponding kinetic age of 150-460 yr. This would make PSO J191$+$86 a newly born radio source. However, the large X-ray luminosity (5.3$\times$10$^{45}$ erg s$^{-1}$), the flat X-ray photon index ($\Gamma_X$=1.32) and the optical-X-ray spectral index ($\tilde{\alpha_{ox}}$=1.329) are typical of blazars. This could indicate that the non-thermal emission of PSO J191$+$86 is Doppler boosted. Further radio observations (both on arcsec and parsec scales) are necessary to better investigate the nature of this powerful radio QSO., Comment: 10 pages, 9 figures, 5 tables, Accepted for publication in A&A
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- 2023
4. The central engine of the highest redshift blazar
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S. Belladitta, A. Caccianiga, A. Diana, A. Moretti, P. Severgnini, M. Pedani, L. P. Cassarà, C. Spingola, L. Ighina, A. Rossi, R. Della Ceca, ITA, and ESP
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High Energy Astrophysical Phenomena (astro-ph.HE) ,Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,Space and Planetary Science ,Astrophysics::High Energy Astrophysical Phenomena ,FOS: Physical sciences ,Astronomy and Astrophysics ,Astrophysics::Earth and Planetary Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics::Galaxy Astrophysics ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We report on a LUCI/Large Binocular Telescope near-infrared (NIR) spectrum of PSO J030947.49+271757.31 (hereafter PSO J0309+27), the highest redshift blazar known to date (z$\sim$6.1). From the C$\rm IV$$\lambda$1549 broad emission line we found that PSO J0309+27 is powered by a 1.45$^{+1.89}_{-0.85}$$\times$10$^9$M$_{\odot}$ supermassive black hole (SMBH) with a bolometric luminosity of $\sim$8$\times$10$^{46}$ erg s$^{-1}$ and an Eddington ratio equal to 0.44$^{+0.78}_{-0.35}$. We also obtained new photometric observations with the Telescopio Nazionale Galileo in J and K bands to better constrain the NIR Spectral Energy Distribution of the source. Thanks to these observations, we were able to model the accretion disk and to derive an independent estimate of the black hole mass of PSO J0309+27, confirming the value inferred from the virial technique. The existence of such a massive SMBH just $\sim$900 million years after the Big Bang challenges models of the earliest SMBH growth, especially if jetted Active Galactic Nuclei are associated to a highly spinning black hole as currently thought. Indeed, in a Eddington-limited accretion scenario and assuming a radiative efficiency of 0.3, typical of a fast rotating SMBH, a seed black hole of more than 10$^6$ M$_{\odot}$ at z = 30 is required to reproduce the mass of PSO J0309+27 at redshift 6. This requirement suggests either earlier periods of rapid black hole growth with super-Eddington accretion and/or that only part of the released gravitational energy goes to heat the accretion disk and feed the black hole., Comment: 10 pages, 5 figures, 2 tables; Accepted to publication in A&A
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- 2022
- Full Text
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5. SIPGI: an interactive pipeline for spectroscopic data reduction
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A Gargiulo, M Fumana, S Bisogni, P Franzetti, L P Cassarà, B Garilli, M Scodeggio, and G Vietri
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High Energy Astrophysical Phenomena (astro-ph.HE) ,Astrophysics - Solar and Stellar Astrophysics ,Space and Planetary Science ,Astrophysics of Galaxies (astro-ph.GA) ,FOS: Physical sciences ,Astronomy and Astrophysics ,Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Astrophysics of Galaxies ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,Solar and Stellar Astrophysics (astro-ph.SR) - Abstract
We present SIPGI, a spectroscopic pipeline to reduce optical/near-infrared data from slit-based spectrographs. SIPGI is a complete spectroscopic data reduction environment which retains the high level of flexibility and accuracy typical of the standard "by-hand" reduction methods but is characterized by a significantly higher level of efficiency. This is obtained by exploiting three main concepts: $i)$ the instrument model: at the core of the data reduction is an analytic description of the main calibration relations (e.g. spectra location and wavelength calibration) that can be easily checked and adjusted on data using a graphical tool; $ii)$ a built-in data organizer that classifies the data, together with a graphical interface that helps in providing the recipes with the correct input; $iii)$ the design and flexibility of the reduction recipes: the number of tasks required to perform a complete reduction is minimized, while preserving the possibility of verifying the accuracy of the main stages of data-reduction process with provided tools. The current version of SIPGI manages data from the MODS and LUCI spectrographs mounted at the Large Binocular Telescope, and it is our plan to extend SIPGI to support other through-slit spectrographs. Meanwhile, to allow using the same approach based on the instrument model with other instruments, we have developed SpectraPy, a spectrograph independent Python library working on through-slit spectra. In its current version, SpectraPy produces two-dimensional wavelength calibrated spectra corrected by instrument distortions. The current release of SIPGI and its documentation can by downloaded from http://pandora.lambrate.inaf.it/sipgi/, while SpectraPy can be found at http://pandora.lambrate.inaf.it/SpectraPy/., Comment: 13 pages, 8 figures. This article has been published in MNRAS: Gargiulo et al., 2022. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved
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- 2022
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6. SFR estimations from z = 0 to z = 0.9
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M. Figueira, A. Pollo, K. Małek, V. Buat, M. Boquien, F. Pistis, L. P. Cassarà, D. Vergani, M. Hamed, S. Salim, Laboratoire d'Astrophysique de Marseille (LAM), and Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)
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Galaxy: evolution ,galaxies: photometry ,[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] ,[SDU]Sciences of the Universe [physics] ,Space and Planetary Science ,Astrophysics of Galaxies (astro-ph.GA) ,galaxies: star formation ,FOS: Physical sciences ,Astronomy and Astrophysics ,Galaxy: general ,Astrophysics - Astrophysics of Galaxies ,techniques: spectroscopic - Abstract
Using VIPERS, we estimated a set of SFR based on photometric and spectroscopic data. We used, as estimators, photometric bands from ultraviolet to mid-infrared, and spectral lines. Assuming a reference SFR obtained from the spectral energy distribution reconstructed with Code Investigating GALaxy Emission, we estimated the reliability of each band as an SFR tracer. We used GSWLC to trace the dependence of these SFR calibrators with redshift. The far and near UV, u-band and 24-$\mu$m bands, as well as $L_{TIR}$, are found to be good SFR tracers up to $z\sim0.9$ with a strong dependence on the attenuation prescription used for the bluest bands (scatter of SFR of 0.26, 0.14, 0.15, 0.23, and 0.24dex for VIPERS, and 0.25, 0.24, 0.09, 0.12, and 0.12dex for GSWLC). The 8-$\mu$m band provides only a rough estimate of the SFR as it depends on metallicity and polycyclic aromatic hydrocarbon properties (scatter of 0.23dex for VIPERS). We estimated the scatter of rest-frame luminosity estimations from CIGALE to be 0.26, 0.14, 0.12, 0.15, and 0.20dex for FUV, NUV, ugriz, K$_{\mathrm{s}}$, and 8-24$\mu$m-$L_{\mathrm{TIR}}$). At intermediate redshift, the H$\beta$ line is a reliable SFR tracer (scatter of 0.19dex) and the [OII] line gives an equally good estimation when the metallicity from the $R_{23}$ parameter is taken into account (0.17 for VIPERS and 0.20dex for GSWLC). A calibration based on [OIII] retrieves the SFR only when additional information such as the metallicity or the ionization parameter of galaxies are used (0.26 for VIPERS and 0.20dex for GSWLC), diminishing its usability as a direct SFR tracer. Based on rest-frame luminosities estimated with CIGALE, we propose our own set of calibrations from FUV, NUV, u-band, 8, 24$\mu$m, $L_{TIR}$, H$\beta$, [OII], and [OIII]., Comment: 35 pages, 28 figures, o be published in A&A
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- 2022
7. Erratum: The first maps of κd – the dust mass absorption coefficient – in nearby galaxies, with DustPedia
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C J R Clark, P De Vis, M Baes, S Bianchi, V Casasola, L P Cassarà, J I Davies, W Dobbels, S Lianou, I De Looze, R Evans, M Galametz, F Galliano, A P Jones, S C Madden, A V Mosenkov, S Verstocken, S Viaene, E M Xilouris, and N Ysard
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Space and Planetary Science ,Astronomy and Astrophysics - Published
- 2022
8. Redshift identification of X-ray-selected active galactic nuclei in the J1030 field: searching for large-scale structures and high-redshift sources
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S. Marchesi, M. Mignoli, R. Gilli, A. Peca, M. Bolzonella, R. Nanni, M. Annunziatella, B. Balmaverde, M. Brusa, F. Calura, L. P. Cassarà, M. Chiaberge, A. Comastri, F. Cusano, Q. D’Amato, K. Iwasawa, G. Lanzuisi, D. Marchesini, T. Morishita, I. Prandoni, A. Rossi, P. Tozzi, C. Vignali, F. Vito, G. Zamorani, C. Norman, ITA, USA, and JPN
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Seyfert [Galaxies] ,Active galactic nucleus ,Galaxies: Seyfert ,Scale (ratio) ,Field (physics) ,Large-scale structure of Universe ,Astrophysics::High Energy Astrophysical Phenomena ,Quasars: supermassive black holes ,FOS: Physical sciences ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,high-redshift [Galaxies] ,Astrophysics::Solar and Stellar Astrophysics ,Astrophysics::Galaxy Astrophysics ,Physics ,X-ray ,Astrophysics::Instrumentation and Methods for Astrophysics ,Galaxies: high-redshift ,Astronomy and Astrophysics ,Astrophysics - Astrophysics of Galaxies ,Redshift ,galaxies [X-rays] ,X-rays: galaxies ,Space and Planetary Science ,Astrophysics of Galaxies (astro-ph.GA) ,supermassive black holes [Quasars] - Abstract
We publicly release the spectroscopic and photometric redshift catalog of the sources detected with Chandra in the field of the $z$=6.3 quasar SDSS J1030+0525. This is currently the fifth deepest X-ray field, and reaches a 0.5-2 keV flux limit $f_{\rm 0.5-2}$=6$\times$10$^{-17}$ erg s$^{-1}$ cm$^{-2}$. By using two independent methods, we measure a photometric redshift for 243 objects, while 123 (51%) sources also have a spectroscopic redshift, 110 of which coming from an INAF-Large Binocular Telescope (LBT) Strategic Program. We use the spectroscopic redshifts to determine the quality of the photometric ones, and find it in agreement with that of other X-ray surveys which used a similar number of photometric data-points. In particular, we measure a sample normalized median absolute deviation $\sigma_{NMAD}$=1.48||$z_{phot}$-$z_{spec}$||/(1+$z_{spec}$)=0.065. We use these new spectroscopic and photometric redshifts to study the properties of the Chandra J1030 field. We observe several peaks in our spectroscopic redshift distribution between $z$=0.15 and $z$=1.5, and find that the sources in each peak are often distributed across the whole Chandra field of view. This evidence confirms that X-ray selected AGN can efficiently track large-scale structures over physical scales of several Mpc. Finally, we computed the Chandra J1030 $z>$3 number counts: while the spectroscopic completeness at high-redshift of our sample is limited, our results point towards a potential source excess at $z\geq$4, which we plan to either confirm or reject in the near future with dedicated spectroscopic campaigns., Comment: 21 pages, 15 figures. Accepted for publication in Astronomy and Astrophysics
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- 2021
9. Evolution of clustering length, large-scale bias, and host halo mass at 2 < z < 5 in the VIMOS Ultra Deep Survey (VUDS)
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A. Durkalec, O. Le Fèvre, A. Pollo, S. de la Torre, P. Cassata, B. Garilli, V. Le Brun, B. C. Lemaux, D. Maccagni, L. Pentericci, L. A. M. Tasca, R. Thomas, E. Vanzella, G. Zamorani, E. Zucca, R. Amorín, S. Bardelli, L. P. Cassarà, M. Castellano, A. Cimatti, O. Cucciati, A. Fontana, M. Giavalisco, A. Grazian, N. P. Hathi, O. Ilbert, S. Paltani, B. Ribeiro, D. Schaerer, M. Scodeggio, V. Sommariva, M. Talia, L. Tresse, D. Vergani, P. Capak, S. Charlot, T. Contini, J. G. Cuby, J. Dunlop, S. Fotopoulou, A. Koekemoer, C. López-Sanjuan, Y. Mellier, J. Pforr, M. Salvato, N. Scoville, Y. Taniguchi, P. W. Wang, Laboratoire d'Astrophysique de Marseille (LAM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), AUTRES, INAF - Osservatorio Astronomico di Roma (OAR), Istituto Nazionale di Astrofisica (INAF), Oncology Institute of Southern Switzerland, INAF - Osservatorio Astronomico di Bologna (OABO), University of Bologna, Department of Astronomy [Amherst], University of Massachusetts [Amherst] (UMass Amherst), University of Massachusetts System (UMASS)-University of Massachusetts System (UMASS), ISDC Data Centre for Astrophysics, University of Geneva [Switzerland], INAF- Milano, INAF - Osservatorio Astrofisico di Arcetri (OAA), Max-Planck-Institut für Astronomie (MPIA), Max-Planck-Gesellschaft, Institut de recherche en astrophysique et planétologie (IRAP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), SUPA, Institute for Astronomy, University of Edinburgh, Aristotle University of Thessaloniki, Space Telescope Science Institute (STSci), Institut d'Astrophysique de Paris (IAP), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institute of cosmology and gravitation, University of Portsmouth, Max-Planck-Institut für Extraterrestrische Physik (MPE), California Institute of Technology (CALTECH), ANR-11-IDEX-0001,Amidex,INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE(2011), European Project: 268107,EC:FP7:ERC,ERC-2010-AdG_20100224,EARLY(2011), Durkalec, A., Le Fevre, O., Pollo, A., De La Torre, S., Cassata, P., Garilli, B., Le Brun, V., Lemaux, B.C., Maccagni, D., Pentericci, L., Tasca, L.A.M., Thomas, R., Vanzella, E., Zamorani, G., Zucca, E., Amorin, R., Bardelli, S., Cassara, L.P., Castellano, M., Cimatti, A., Cucciati, O., Fontana, A., Giavalisco, M., Grazian, A., Hathi, N.P., Ilbert, O., Paltani, S., Ribeiro, B., Schaerer, D., Scodeggio, M., Sommariva, V., Talia, M., Tresse, L., Vergani, D., Capak, P., Charlot, S., Contini, T., Cuby, J.G., Dunlop, J., Fotopoulou, S., Koekemoer, A., Lopez-Sanjuan, C., Mellier, Y., Pforr, J., Salvato, M., Scoville, N., Taniguchi, Y., Wang, P.W., Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), University of Bologna/Università di Bologna, Université de Genève = University of Geneva (UNIGE), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), and Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
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Large-scale structure of Universe ,statistical [methods] ,Population ,Dark matter ,Cosmology: observations ,Galaxies: evolution ,Methods: statistical ,Astronomy and Astrophysics ,Space and Planetary Science ,Astrophysics ,Correlation function (astronomy) ,01 natural sciences ,Cosmology: observation ,0103 physical sciences ,Cluster analysis ,education ,010303 astronomy & astrophysics ,evolution [galaxies] ,Physics ,education.field_of_study ,010308 nuclear & particles physics ,Astronomy and Astrophysic ,observations [cosmology] ,Redshift ,Galaxy ,Amplitude ,large-scale structure of Universe ,Halo ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We investigate the evolution of galaxy clustering for galaxies in the redshift range 2.0, Comment: 19 pages, 10 figures, submitted to A&A
- Published
- 2015
10. Detailed AGB evolutionary models and near infrared colours of intermediate-age stellar populations: Tests on star clusters
- Author
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Maurizio Salaris, A. Weiss, C. Chiosi, Lorenzo Piovan, and L. P. Cassarà
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Physics ,Monte Carlo method ,FOS: Physical sciences ,Astronomy and Astrophysics ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Statistical fluctuations ,Luminosity ,Stars ,Star cluster ,Astrophysics - Solar and Stellar Astrophysics ,Space and Planetary Science ,Cluster (physics) ,Asymptotic giant branch ,Astrophysics::Solar and Stellar Astrophysics ,Astrophysics::Earth and Planetary Astrophysics ,Stellar evolution ,Astrophysics::Galaxy Astrophysics ,Solar and Stellar Astrophysics (astro-ph.SR) - Abstract
We investigate the influence of Asymptotic Giant Branch stars on integrated colours of star clusters of ages between ~100 Myr and a few gigayears, and composition typical for the Magellanic Clouds. We use state-of-the-art stellar evolution models that cover the full thermal pulse phase, and take into account the influence of dusty envelopes on the emerging spectra. We present an alternative approach to the usual isochrone method, and compute integrated fluxes and colours using a Monte Carlo technique that enables us to take into account statistical fluctuations due to the typical small number of cluster stars. We demonstrate how the statistical variations in the number of Asymptotic Giant Branch stars and the temperature and luminosity variations during thermal pulses fundamentally limit the accuracy of the comparison (and calibration, for population synthesis models that require a calibration of the Asymptotic Giant Branch contribution to the total luminosity) with star cluster integrated photometries. When compared to observed integrated colours of individual and stacked clusters in the Magellanic Clouds, our predictions match well most of the observations, when statistical fluctuations are taken into account, although there are discrepancies in narrow age ranges with some (but not all) set of observations., Comment: 12 pages, 14 figures, accepted for publication in A&A
- Published
- 2014
- Full Text
- View/download PDF
11. The Role of Dust in Models of Population Synthesis
- Author
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Axel Weiss, L. Piovan, Maurizio Salaris, Cesare Chiosi, and L. P. Cassarà
- Subjects
Physics ,Initial mass function ,Hertzsprung–Russell diagram ,Astronomy ,FOS: Physical sciences ,Astronomy and Astrophysics ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Galaxy ,Stars ,symbols.namesake ,Star cluster ,Astrophysics - Solar and Stellar Astrophysics ,Space and Planetary Science ,symbols ,Spectral energy distribution ,Asymptotic giant branch ,Circumstellar dust ,Astrophysics::Solar and Stellar Astrophysics ,Astrophysics::Earth and Planetary Astrophysics ,Solar and Stellar Astrophysics (astro-ph.SR) ,Astrophysics::Galaxy Astrophysics - Abstract
We have employed state-of-the-art evolutionary models of low and intermediate-mass AGB stars, and included the effect of circumstellar dust shells on the spectral energy distribution (SED) of AGB stars, to revise the Padua library of isochrones (Bertelli et al. 1994). The major revision involves the thermally pulsing AGB phase, that is now taken from fully evolutionary calculations by Weiss & Ferguson (2009). Two libraries of about 600 AGB dust-enshrouded SEDs each have also been calculated, one for oxygen-rich M-stars and one for carbon-rich C-stars. Each library accounts for different values of input parameters like the optical depth ��, dust composition, and temperature of the inner boundary of the dust shell. These libraries of dusty AGB spectra have been implemented into a large composite library of theoretical stellar spectra, to cover all regions of the Hertzsprung-Russell Diagram (HRD) crossed by the isochrones. With the aid of the above isochrones and libraries of stellar SEDs, we have calculated the spectro-photometric properties (SEDs, magnitudes, and colours) of single-generation stellar populations (SSPs) for six metallicities, more than fifty ages (from 3 Myr to 15 Gyr), and nine choices of the Initial Mass Function. The new isochrones and SSPs have been compared to the colour-magnitude diagrams (CMDs) of field populations in the LMC and SMC, with particular emphasis on AGB stars, and the integrated colours of star clusters in the same galaxies, using data from the SAGE (Surveying the Agents of Galaxy Evolution) catalogues. We have also examined the integrated colours of a small sample of star clusters located in the outskirts of M31. The agreement between theory and observations is generally good. In particular, the new SSPs reproduce the red tails of the AGB star distribution in the CMDs of field stars in the Magellanic Clouds., Accepted for publication in MNRAS
- Published
- 2013
12. The VIMOS Ultra-Deep Survey (VUDS): fast increase in the fraction of strong Lyman-αemitters fromz= 2 toz= 6
- Author
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P. Cassata, L. A. M. Tasca, O. Le Fèvre, B. C. Lemaux, B. Garilli, V. Le Brun, D. Maccagni, L. Pentericci, R. Thomas, E. Vanzella, G. Zamorani, E. Zucca, R. Amorin, S. Bardelli, P. Capak, L. P. Cassarà, M. Castellano, A. Cimatti, J. G. Cuby, O. Cucciati, S. de la Torre, A. Durkalec, A. Fontana, M. Giavalisco, A. Grazian, N. P. Hathi, O. Ilbert, C. Moreau, S. Paltani, B. Ribeiro, M. Salvato, D. Schaerer, M. Scodeggio, V. Sommariva, M. Talia, Y. Taniguchi, L. Tresse, D. Vergani, P. W. Wang, S. Charlot, T. Contini, S. Fotopoulou, A. M. Koekemoer, C. López-Sanjuan, Y. Mellier, N. Scoville, Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), INAF-IASF Milano, Istituto Nazionale di Astrofisica (INAF), INAF - Osservatorio Astronomico di Roma (OAR), INAF - Osservatorio Astronomico di Bologna (OABO), California Institute of Technology (CALTECH), University of Bologna/Università di Bologna, University of Massachusetts [Amherst] (UMass Amherst), University of Massachusetts System (UMASS), Université de Genève = University of Geneva (UNIGE), Max-Planck-Institut für Extraterrestrische Physik (MPE), Ehime University [Matsuyama, Japon], INAF–IASF Bologne, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Space Telescope Science Institute (STSci), Cassata, P., Tasca, L.A.M., Le Fèvre, O., Lemaux, B.C., Garilli, B., Le Brun, V., Maccagni, D., Pentericci, L., Thomas, R., Vanzella, E., Zamorani, G., Zucca, E., Amorin, R., Bardelli, S., Capak, P., Cassarà, L.P., Castellano, M., Cimatti, A., Cuby, J.G., Cucciati, O., De La Torre, S., Durkalec, A., Fontana, A., Giavalisco, M., Grazian, A., Hathi, N.P., Ilbert, O., Moreau, C., Paltani, S., Ribeiro, B., Salvato, M., Schaerer, D., Scodeggio, M., Sommariva, V., Talia, M., Taniguchi, Y., Tresse, L., Vergani, D., Wang, P.W., Charlot, S., Contini, T., Fotopoulou, S., Koekemoer, A.M., López-Sanjuan, C., Mellier, Y., Scoville, N., University of Bologna, University of Geneva [Switzerland], Ehime University [Matsuyama], Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Physics ,Range (particle radiation) ,Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] ,Galaxies: fundamental parameter ,FOS: Physical sciences ,galaxies: fundamental parameters ,Astronomy and Astrophysics ,Fraction (chemistry) ,Astrophysics ,Astronomy and Astrophysic ,Astrophysics - Astrophysics of Galaxies ,Cosmology: observation ,Galaxy ,Cosmology: observations ,Galaxies evolution ,Galaxies: formation ,Galaxies: fundamental parameters ,Galaxies: high-redshift ,Space and Planetary Science ,galaxies: high-redshift ,Astrophysics of Galaxies (astro-ph.GA) ,cosmology: observations ,galaxies: formation ,Narrow range ,galaxies: evolution ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
Aims. The aim of this work is to constrain the evolution of the fraction of Lya emitters among UV selected star forming galaxies at 2 25A to increase from 5% at z=2 to 30% at z=6, with the increase being relatively stronger beyond z=4. We observe no difference, for the narrow range of UV luminosities explored in this work, between the fraction of strong Lya emitters among galaxies fainter or brighter than M*, although the fraction for the FUV faint galaxies evolves faster, at 2, Comment: 12 pages, 6 figures, A&A in press
- Published
- 2014
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