Zoom in Observations Of Massive clusters and INfant Galaxies
ZOOMING
Programma
RSN1
Attività: In Itinere; Data inizio: 2012; Data fine: 2030
amata.mercurio amata.mercurio@inaf.it
Il programma ZOOMING si propone di testare il paradigma della Cold Dark Matter (CDM) confrontando mappe di massa di ammassi di galassie, separate tra materia oscura (DM) e componenti barioniche, fino alle regioni più interne, confrontandoli con simulazioni idrodinamiche che includono sia la componente barionica che la DM, e di fornire un set di dati fondamentali per gli studi dell'evoluzione delle galassie in ambienti diversi, grazie a osservazioni omogenee spettroscopiche e fotometriche multibanda. Inoltre, l'effetto di ingrandimento di queste potenti lenti gravitazionali viene sfruttato per studiare la popolazione di proto-galassie, inclusi i minuscoli (<30 pc) precursori di ammassi globulari a z = 1-7 e il loro contributo alla ionizzazione del mezzo circostante (reionizzazione).
The ZOOMING program will perform stringent tests of the Cold Dark Matter (CDM) paradigm by comparing high-quality cluster mass maps, dissected into the dark matter (DM) and baryonic components down to the innermost regions, with hydrodynamical simulations including baryonic and DM physics. It will provide a long-lasting legacy for galaxy evolution studies in different environments, thanks to the unique and homogeneous multi-wavelength imaging and spectroscopic observations of massive lensing clusters, part of major Hubble programs. Moreover, the magnification effect of these powerful gravitational lenses is exploited to probe the ionizing power of the population of faint proto-galaxies and globular cluster precursors at z=1-7, zooming into star-forming complexes down to tens of pc scale.
Ammassi, struttura a grande scala dell Universo e mezzo intergalattico
Cosmologia teorica ed osservativa
Galassie, AGN e loro evoluzione
Popolazioni e ammassi stellari galattici ed extragalattici
Tecnologie Informatiche e software
Struttura | Nfte | N0 | TI 2022 | TI 2023 | TI 2024 | TD 2022 | TD 2023 | TD 2024 | Nex | Extra |
---|---|---|---|---|---|---|---|---|---|---|
O.A. TRIESTE | 6 | 0 | 1.20 | 1.30 | 1.20 | 0 | 0 | 0 | 2 | 0.30 |
O.A. CAPODIMONTE | 1 | 0 | 0.45 | 0.45 | 0.45 | 0 | 0 | 0 | 0 | 0.00 |
OAS BOLOGNA | 5 | 0 | 0.90 | 0.90 | 0.90 | 1.00 | 1.00 | 0.00 | 0 | 0.00 |
O.A. ROMA | 0 | 0 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | 1 | 0.20 |
IASF MILANO | 1 | 0 | 0.10 | 0.10 | 0.10 | 0.00 | 0.00 | 0.00 | 2 | 0.30 |
O.A. PADOVA | 3 | 0 | 0.60 | 0.60 | 0.60 | 0 | 0 | 0 | 0 | 0.00 |
O.A. ARCETRI | 1 | 0 | 0.10 | 0.10 | 0.10 | 0 | 0 | 0 | 0 | 0.00 |
Totali | 17 | 0 | 3.35 | 3.45 | 3.35 | 1.00 | 1.00 | 0.00 | 5 | 0.80 |
# | Struttura | TI 2022 | TI 2023 | TI 2024 | TD 2022 | TD 2023 | TD 2024 | Extra |
---|---|---|---|---|---|---|---|---|
1 | Università di Trieste | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | 0.10 |
2 | Uni Trieste | 0.20 | 0.20 | 0.20 | 0 | 0 | 0 | 0.00 |
3 | Pontificia Universidad Católica de Valparaíso | 0 | 0 | 0 | 0.30 | 0.30 | 0.30 | 0.00 |
4 | Università degli Studi di Milano | 0.40 | 0.40 | 0.40 | 0 | 0 | 0 | 0.00 |
5 | Università di Bologna | 0.20 | 0.20 | 0.20 | 0 | 0 | 0 | 0.00 |
6 | Universita' di Bologna | 0 | 0 | 0 | 1.00 | 1.00 | 0.00 | 0.00 |
7 | Università degli Studi di Padova | 0.20 | 0.20 | 0.20 | 1.00 | 0.00 | 0.00 | 0.00 |
8 | UniFe | 0.30 | 0.30 | 0.30 | 0 | 0 | 0 | 0.00 |
9 | Uni Ferrara | 0 | 0 | 0 | 1.00 | 1.00 | 0.00 | 0.00 |
10 | Uiversita' degli studi di Bologna | 0.20 | 0.20 | 0.20 | 0 | 0 | 0 | 0.00 |
11 | Centro de Astrobiología, Madrid, Spain | 0 | 0 | 0 | 0.20 | 0.20 | 0.20 | 0.00 |
12 | Uni Salerno | 0 | 0 | 0 | 1.00 | 1.00 | 1.00 | 0.00 |
13 | LMU (Munich) | 0 | 0 | 0 | 0.00 | 0.00 | 0.00 | 0.00 |
14 | Università degli Studi di Milano | 0 | 0 | 0 | 0.40 | 0.40 | 0.40 | 0.00 |
Totali | 1.50 | 1.50 | 1.50 | 4.90 | 3.90 | 1.90 | 0.10 |
Certi 2022 | Certi 2023 | Certi 2024 | Presunti 2022 | Presunti 2023 | Presunti 2024 |
---|---|---|---|---|---|
257.5 | 236.0 | 152.5 | 0.0 | 0.0 | 0.0 |
Cosmological parameters; Large-scale structure of the universe; Dark matter distribution; Observational cosmology; Cosmic Reionization; Primordial galaxies; Protogalaxies; Galaxy environments; Dynamical evolution; Galaxy evolution; Intergalactic medium phases; Galaxy Clusters; Astroinformatics; INCC; Rubin-LSST; GAEA, GCPs; Scheda Progetto cui fare riferimento per FTE di Massimo Brescia: Astroinformatics; Scheda Progetto cui fare riferimento per FTE di Stefano Borgani: INCC;
INAF researchers coordinate WGs #0, #2, #3 and #5 (Table 4), as well as PIs of many observational proposals (Table 2). They have a recognized international reputation on cosmological simulations and theoretical aspects of gravitational lensing and dynamics and galaxy evolution. M. Meneghetti led the Science on paper (09/2020) on the discrepancy between observations and ΛCDM predictions (NASA, ESA, HST, INAF PRs, and many interviews e.g., CNN, BBC). A leading role is also in the organization of meetings and Schools (financial support received by INAF). We can just mention the school "Hands-on multi-probe mass measurements in galaxy clusters", 18-21/06/2018 and the meetings "The Universe as a telescope: probing the cosmos at all scales with strong lensing", 3-7/09/2018 (~80 participants) and "Tracing cosmic evolution with clusters of galaxies - In Memory of Riccardo Giacconi", 8-12/07/2019 (~250 participants). In 2016 and 2021 it is also received financial support for an INAF PhD fellow.
MUSE; KMOS; FORS; XSHOOTER; VIMOS; VST; VISTA; HST; JWST; LBT; SUBARU; Chandra; Herschel; Spitzer; VLA; HPC. To achieve the scientific objectives described session 10. and in Table 1, the ZOOMING program takes advantage of a transformative multi-wavelength dataset, amassed from a number of proprietary and public observational programs. The complete summary of the dataset available to the program and the instruments and the infrastructures involved are reported in Table 2. Observational data are compared with state-of-art simulations detailed in Table 3. High Performing Computing (HPC) is also used to increase the speed and performance of reconstruction methods by performing i) parallelization on GPUs for the mass modeling; ii) Optimization of extended source reconstructions in crowded fields; iii) Realistic simulations produced using the SkyLens image simulation suite to validate current reconstruction methods; iv) Development of tools that combine parametric and free-form approaches to reproduce asymmetric mass distributions, twist of iso-density contours.
# | Nome | Struttura | TI | Qualifica | Ruolo nel Progetto | FTE Impegnate (2022/2023/2024) | FTE Presunte (2022/2023/2024) | Extra | ||
---|---|---|---|---|---|---|---|---|---|---|
1 | andrea.biviano | andrea.biviano@inaf.it | O.A. TRIESTE | Y | PRIMO RICERCATORE | Team member, mass profiles from galaxy dynamic | X X X | X X X | X | |
2 | massimo.brescia | massimo.brescia@inaf.it | O.A. CAPODIMONTE | Y | RICERCATORE | Team member, Machine learning methods design and developments | X X X | X X X | X | |
3 | francesco.calura | francesco.calura@inaf.it | OAS BOLOGNA | Y | RICERCATORE | Team member, high-z lensed galaxies | X X X | X X X | X | |
4 | marco.castellano | marco.castellano@inaf.it | O.A. ROMA | Y | RICERCATORE | Team member, multiband photometry and SED-fitting of high-z galaxies | X X X | X X X | X | |
5 | stefano.cristiani | stefano.cristiani@inaf.it | O.A. TRIESTE | Y | ASTRONOMO ORDINARIO | Team member, high-z lensed galaxies | X X X | X X X | X | |
6 | guido.cupani | guido.cupani@inaf.it | O.A. TRIESTE | Y | RICERCATORE | Team member, data reduction/analysis | X X X | X X X | X | |
7 | gabriella.delucia | gabriella.delucia@inaf.it | O.A. TRIESTE | Y | PRIMO RICERCATORE | Team member, Theoretical models of galaxy formation and evolution | X X X | X X X | X | |
8 | stefano.ettori | stefano.ettori@inaf.it | OAS BOLOGNA | Y | PRIMO RICERCATORE | Team member, X-ray Observations | X X X | X X X | X | |
9 | fabio.fontanot | fabio.fontanot@inaf.it | O.A. TRIESTE | Y | RICERCATORE | Theoretical models of galaxy formation and evolution | X X X | X X X | X | |
10 | roberto.gilli | roberto.gilli@inaf.it | OAS BOLOGNA | Y | PRIMO RICERCATORE | Team member, high-z galaxies observations | X X X | X X X | X | |
11 | adriana.gargiulo | adriana.gargiulo@inaf.it | IASF MILANO | Y | RICERCATORE | Team member, galaxy evolution | X X X | X X X | X | |
12 | carlo.giocoli | carlo.giocoli@inaf.it | OAS BOLOGNA | Y | RICERCATORE | Team member, cluster simulations & mass modelling | X X X | X X X | X | |
13 | marco.gullieuszik | marco.gullieuszik@inaf.it | O.A. PADOVA | Y | RICERCATORE | Team member, AAOmega observations | X X X | X X X | X | |
14 | chiara.mancini | chiara.mancini@inaf.it | IASF MILANO | N | RICERCATORE | Team member, galaxy evolution | X X X | X X X | X | |
15 | massimo.meneghetti | massimo.meneghetti@inaf.it | OAS BOLOGNA | Y | RICERCATORE | Coordinator of the WG#3 | X X X | X X X | X | |
16 | amata.mercurio | amata.mercurio@inaf.it | O.A. CAPODIMONTE | Y | RICERCATORE | Core team member, Coordinator of the WG#5, PI of the GTO survey VST-GAME and MUSE proposals | X X X | X X X | X | |
17 | emiliano.merlin | emiliano.merlin@inaf.it | O.A. ROMA | Y | RICERCATORE | Team member, multiband photometry and SED-fitting of high-z galaxies | X X X | X X X | X | |
18 | uros.mestric | uros.mestric@inaf.it | OAS BOLOGNA | N | ASSEGNISTA | Post-Doc dedicated to the project, high-z galaxies | X X X | X X X | X | |
19 | marco.mignoli | marco.mignoli@inaf.it | OAS BOLOGNA | Y | RICERCATORE | Team member, high-z galaxies | X X X | X X X | X | |
20 | alessia.moretti | alessia.moretti@inaf.it | O.A. PADOVA | Y | RICERCATORE | Team member, AAOmega observations | X X X | X X X | X | |
21 | mario.nonino | mario.nonino@inaf.it | O.A. TRIESTE | Y | RICERCATORE ASTRONOMO | Core team member, Coordinator of the WG#0, PI of the Public VISTA survey GCAV, PI of the ESO LP KEDFS, and PI of the INAF-mainstream | X X X | X X X | X | |
22 | laura.pentericci | laura.pentericci@inaf.it | O.A. ROMA | Y | PRIMO RICERCATORE | Team member, high-z galaxies | X X X | X X X | X | |
23 | elena.rasia | elena.rasia@inaf.it | O.A. TRIESTE | Y | RICERCATORE | Team member, theory & simulations | X X X | X X X | X | |
24 | marco.scodeggio | marco.scodeggio@inaf.it | IASF MILANO | Y | PRIMO RICERCATORE | Team member, spectroscopic data reduction and analysis | X X X | X X X | X | |
25 | veronica.strazzullo | veronica.strazzullo@inaf.it | O.A. TRIESTE | Y | RICERCATORE | Team member, galaxy evolution | X X X | X X X | X | |
26 | paolo.tozzi | paolo.tozzi@inaf.it | O.A. ARCETRI | Y | DIRIGENTE DI RICERCA | Team member, mass profiles from X-ray data, analysis of Radio data | X X X | X X X | X | |
27 | eros.vanzella | eros.vanzella@inaf.it | OAS BOLOGNA | Y | RICERCATORE | Coordinator of the WG#2, PI of observational proposals, PI of INAF-mainstream | X X X | X X X | X | |
28 | benedetta.vulcani | benedetta.vulcani@inaf.it | O.A. PADOVA | Y | RICERCATORE | Team member, VST GAME and AAOmega observations | X X X | X X X | X | |
29 | anita.zanella | anita.zanella@inaf.it | O.A. PADOVA | Y | RICERCATORE | Team member of the WG#2 | X X X | X X X | X | |
30 | daniela.carollo | daniela.carollo@inaf.it | O.A. TRIESTE | Y | RICERCATORE | Team member, theory & simulations, high-z galaxies | X X X | X X X | X |
# | Nome | Struttura | TI | Qualifica | Ruolo nel Progetto | FTE Impegnate (2022/2023/2024) | FTE Presunte (2022/2023/2024) | Extra | |
---|---|---|---|---|---|---|---|---|---|
1 | stefano.borgani | stefano.borgani@inaf.it | Università di Trieste | Y | Professore Ordinario | Team, member, theory & Simulations | [0, 0, 0] | [0.0, 0.0, 0.0] | 0.1 |
2 | marisa.girardi | marisa.girardi@inaf.it | Uni Trieste | Y | Professore Associato | Team member, Cluster Substructure Analysis (WG#1&5) | [0.2, 0.2, 0.2] | [0.0, 0.0, 0.0] | 0.0 |
3 | raphael.gobat | raphael.gobat@pucv.cl | Pontificia Universidad Católica de Valparaíso | N | Professore Associato | Team members, Galaxy evolution and High-z galaxies | [0.3, 0.3, 0.3] | [0.0, 0.0, 0.0] | 0.0 |
4 | claudio.grillo | claudio.grillo@unimi.it | Università degli Studi di Milano | Y | Professore Associato | Core team member, Coordinator of the WG#2, PI of observational proposals, PI of the PRIN-MIUR 2020 | [0.4, 0.4, 0.4] | [0.1, 0.1, 0.1] | 0.0 |
5 | lauro.moscardini | lauro.moscardini@unibo.it | Università di Bologna | Y | Professore Ordinario | Coordinator of the UNIBO RU of the PRIN-MUR 2017 | [0.2, 0.2, 0.2] | [0.0, 0.0, 0.0] | 0.0 |
6 | antonio.ragagnin | antonio.ragagnin@inaf.it | Universita' di Bologna | N | post-doc | Post-doc ddicated to the project, Postprocessing of zoomin-simulations | [1.0, 1.0, 0] | [0.0, 0.0, 1.0] | 0.0 |
7 | giulia.rodighiero | giulia.rodighiero@unipd.it | Università degli Studi di Padova | Y | Professore Associato | VST-GAME team member | [0.2, 0.2, 0.2] | [0.0, 0.0, 0.0] | 0.0 |
8 | piero.rosati | rosati@infn.it | UniFe | Y | Professore Ordinario | PI of the program, coordinator of the WG#4, PI of the PRIN-MIUR 2017 | [0.3, 0.3, 0.3] | [0.0, 0.0, 0.0] | 0.0 |
9 | giuseppe.angora | gius.angora@gmail.com | Uni Ferrara | N | AdR postdoc | PhD dedicated to the project | [1.0, 1.0, 0] | [0.0, 0.0, 1.0] | 0.0 |
10 | robert.metcalf | robertbenton.metcalf@unibo.it | Uiversita' degli studi di Bologna | Y | Prof. associato | Team member, Lens modeling & sumulation | [0.2, 0.2, 0.2] | [0.2, 0.2, 0.2] | 0.0 |
11 | gilberto.estrada | gilberto.estrada@inaf.it | Università degli Studi di Padova | N | Dottorando | PhD involved in #SC5 | [1.0, 0, 0] | [0.0, 1.0, 1.0] | 0.0 |
12 | marianna.annunziatella | marianna.annunziatella@inaf.it | Centro de Astrobiología, Madrid, Spain | N | Post-Doc | Team member, galaxy evolution | [0.2, 0.2, 0.2] | [0.0, 0.0, 0.0] | 0.0 |
13 | maurizio.daddona | mauritiusdadd@gmail.com | Uni Salerno | N | PhD student | Team member, Lensing models, galaxy evolution | [1.0, 1.0, 1.0] | [0.0, 0.0, 0.0] | 0.0 |
14 | barbara.sartoris | barbara.sartoris@gmail.com | LMU (Munich) | N | Post-doc | Team member, mass profiles from galaxy dynamic | [0, 0, 0] | [0.0, 0.0, 0.0] | 0.0 |
15 | pietro.bergamini | pietro.bergamini@inaf.it | Università degli Studi di Milano | N | Assegnista | Team member, mass profile from strong lensing | [0.4, 0.4, 0.4] | [0.0, 0.0, 0.0] | 0.0 |
Financial support from INAF (PRIN-INAF 2010 PI. Nonino+ PRIN-INAF 2014 PI. Nonino + PhD fellow Rosati/Mercurio+School and Meeting Organization), PRIN-MIUR (PI Rosati), MAECI (M. Meneghetti)
# | Provenienza | Certi 2022 (k€) | Certi 2023 (k€) | Certi 2024 (k€) | Presun. 2022 (k€) | Presun. 2023 (k€) | Presun. 2024 (k€) | Totale Certi (k€) | Totale Presunti (k€) |
---|---|---|---|---|---|---|---|---|---|
1 | PRIN MIUR 2017 | 166.5 | 83.5 | 0 | 0 | 0 | 0 | 249 | 0 |
2 | INAF MainStream (P.I. Nonino) | 8 | 0 | 0 | 0 | 0 | 0 | 8 | 0 |
3 | INAF MainStream (P.I. Vanzella) | 6.5 | 0 | 0 | 0 | 0 | 0 | 6 | 0 |
4 | PRIN MIUR 2020 | 76.5 | 152.5 | 152.5 | 0 | 0 | 0 | 380 | 0 |
# | Provenienza | Fondi 2022 (€) | Fondi 2023 (€) | Fondi 2024 (€) |
---|