Galaxy populations in the first massive clusters
hzMCgals
Programma
Progetto
RSN1
Attività: In Itinere; Data inizio: 2017; Data fine: 2025
veronica.strazzullo veronica.strazzullo@inaf.it
Studio di galassie di ammasso in un campione di 5 ammassi piu' distanti identificati nella South Pole Telescope Sunyaev-Zel'dovich Survey, tra i sistemi più massivi conosciuti a z>~1.4 (log(M200/Msun)>14.6). Questo e' correntemente l'unico campione statistico omogeneo ritenuto rappresentativo della popolazione generale di ammassi a queste masse e redshift, con un follow-up specifico per studi di galaxy evolution.
Il progetto corrente è basato su osservazioni ottiche/NIR da Hubble, Spitzer, VLT, e radio da MeerKAT e GMRT, per misurare effetti ambientali su formazione stellare e quenching, crescita in massa stellare e proprietà strutturali delle galassie d'ammasso, per la prima volta in maniera consistente e omogenea su un campione rappresentativo di questi sistemi estremi a z~1.5.
A galaxy population study in a sample of 5 most distant clusters identified in the South Pole Telescope Sunyaev-Zel'dovich Survey, among the most massive systems known at z>~1.4 (log(M200/Msun)>14.6). This is currently the only statistical, homogeneous, representative cluster sample at these masses and redshift with a specific follow-up for galaxy population studies.
The current project is based on optical/NIR observations from Hubble, Spitzer and VLT, and radio continuum from MeerKAT and GMRT, aimed at probing stellar populations, star formation and quenching, structural properties and stellar mass assembly of massive cluster galaxies, for a first-time consistent, homogeneous analysis in an unbiased, representative sample of such extreme environments at this redshift.
Ammassi, struttura a grande scala dell Universo e mezzo intergalattico
Galassie, AGN e loro evoluzione
Struttura | Nfte | N0 | TI 2023 | TI 2024 | TI 2025 | TD 2023 | TD 2024 | TD 2025 | Nex | Extra |
---|---|---|---|---|---|---|---|---|---|---|
O.A. TRIESTE | 3 | 0 | 0.60 | 0.80 | 0.70 | 0.50 | 0.30 | 0.30 | 1 | 0.15 |
O.A. ARCETRI | 0 | 0 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | 0 | 0.00 |
Totali | 3 | 0 | 0.60 | 0.80 | 0.70 | 0.50 | 0.30 | 0.30 | 1 | 0.15 |
# | Struttura | TI 2023 | TI 2024 | TI 2025 | TD 2023 | TD 2024 | TD 2025 | Extra |
---|---|---|---|---|---|---|---|---|
1 | Univ. di Trieste | 0 | 0 | 0 | 0.40 | 0.20 | 0.20 | 0.00 |
2 | Università di Trieste | 0 | 0 | 0 | 0.40 | 0.40 | 0.40 | 0.00 |
Totali | 0.00 | 0.00 | 0.00 | 0.80 | 0.60 | 0.60 | 0.00 |
Certi 2023 | Certi 2024 | Certi 2025 | Presunti 2023 | Presunti 2024 | Presunti 2025 |
---|---|---|---|---|---|
25 | 0 | 0 | 0 | 0 | 0 |
<p>Extragalactic Astronomy; Galaxies; Galaxy Clusters; Galaxy Environments; Early-type Galaxies; Late-type Galaxies; High-redshift Galaxies; Quenched Galaxies; High Redshift Galaxy Clusters</p><p><br></p><p>Schede INAF collegate:</p><p>Spiderweb</p><p>GAEA<br></p><p><br></p>
<p>The cluster sample studied in this project in currently the only statistical, representative, galaxy-unbiased sample of very massive, most distant clusters (z>~1.4). In the last few years we managed to collect observations from major facilities (HST, Spitzer, VLT, ALMA, MeerKAT, GMRT) on expressly designed, homogeneous, dedicated follow-up programs on this whole sample, for galaxy evolution studies as well as cluster characterization. We are now in the position to leverage these observations, together with additional new observations from our team of likely progenitor environments, for a combined investigation of the evolution of galaxy populations within the first, massive clusters emerging from the density field right after the crucial transition time between the proto-cluster and cluster regimes. A significant component of the team developing and analysing semi-analytical models and hydro-dynamical simulations enables a proper, consistent interpretation of these observations within the cosmological framework as well as in the context of literature results. <br></p>
South Pole Telescope; Hubble Space Telescope; Spitzer Space Telescope; ESO Very Large Telescope; Magellan; XMM-Newton; Chandra X-ray Observatory; Atacama Large millimiter/submillimiter Array; Atacama Compact Array, MeerKAT, GMRT<br>
# | Nome | Struttura | TI | Qualifica | Ruolo nel Progetto | FTE Impegnate (2023/2024/2025) | FTE Presunte (2023/2024/2025) | Extra | ||
---|---|---|---|---|---|---|---|---|---|---|
1 | veronica.strazzullo | veronica.strazzullo@inaf.it | O.A. TRIESTE | Y | RICERCATORE | data reduction, analysis, modeling and interpretation, publication of results | X X X | X X X | X | |
2 | gabriella.delucia | gabriella.delucia@inaf.it | O.A. TRIESTE | Y | PRIMO RICERCATORE | interpretation of observations and comparison with theoretical expectations | X X X | X X X | X | |
3 | mario.nonino | mario.nonino@inaf.it | O.A. TRIESTE | Y | RICERCATORE ASTRONOMO | data reduction, analysis, modeling and interpretation, | X X X | X X X | X | |
4 | paolo.tozzi | paolo.tozzi@inaf.it | O.A. ARCETRI | Y | DIRIGENTE DI RICERCA | interpretation, connection with massive protocluster ancestors at z>2 | X X X | X X X | X | |
5 | fabio.fontanot | fabio.fontanot@inaf.it | O.A. TRIESTE | Y | RICERCATORE | interpretation of observations and comparison with theoretical expectations | X X X | X X X | X | |
6 | elena.rasia | elena.rasia@inaf.it | O.A. TRIESTE | Y | RICERCATORE | interpretation of observations and comparison with theoretical expectations | X X X | X X X | X | |
7 | maurilio.pannella | maurilio.pannella@inaf.it | O.A. TRIESTE | N | ASSEGNISTA | data reduction, analysis, modeling and interpretation, publication of results, design of follow-up observations | X X X | X X X | X |
# | Nome | Struttura | TI | Qualifica | Ruolo nel Progetto | FTE Impegnate (2023/2024/2025) | FTE Presunte (2023/2024/2025) | Extra | |
---|---|---|---|---|---|---|---|---|---|
1 | alexandro.saro | alexandro.saro@inaf.it | Univ. di Trieste | N | Ricercatore a tempo determinato | data modeling and interpretation, comparison with theoretical expectations, design of follow-up observations | [0.4, 0.2, 0.2] | [0.0, 0.0, 0.0] | 0.0 |
2 | luca.dimascolo | luca.dimascolo@inaf.it | Università di Trieste | N | Postdoc | reduction and analysis of ALMA/ACA data, cluster characterization, interpretation | [0.2, 0.2, 0.2] | [0.0, 0.0, 0.0] | 0.0 |
3 | peter.lustig | peter.lustig@inaf.it | Università di Trieste | N | Postdoc | interpretation, comparison with cosmological simulations | [0.2, 0.2, 0.2] | [0.0, 0.0, 0.0] | 0.0 |
Since the PI joined INAF (2020) this project has received funding only from INAF (Astrofisica Fondamentale 2022). In its earlier phases, this project had been previously funded in Germany (LMU Muenchen, 2016-2019) by grants from DFG and DLR. Here below we only mention research funding obtained since this project became active within INAF.
# | Provenienza | Certi 2023 (k€) | Certi 2024 (k€) | Certi 2025 (k€) | Presun. 2023 (k€) | Presun. 2024 (k€) | Presun. 2025 (k€) | Totale Certi (k€) | Totale Presunti (k€) |
---|
# | Provenienza | Fondi 2023 (€) | Fondi 2024 (€) | Fondi 2025 (€) |
---|---|---|---|---|
1 | INAF - GTO / GO Grant (normal) | 25000.0 |