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What drives the stellar mass growth of Early-Type galaxies? Born or made: the saga continues

Grant number: 14/11156-4
Support type:Research Projects - Thematic Grants
Duration: August 01, 2015 - October 31, 2020
Field of knowledge:Physical Sciences and Mathematics - Astronomy - Extragalactic Astrophysics
Principal researcher:Reinaldo Ramos de Carvalho
Grantee:Reinaldo Ramos de Carvalho
Home Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia e Inovações (Brasil). São José dos Campos , SP, Brazil
Pesquisadores principais:
Reinaldo Roberto Rosa
Assoc. researchers:Alberto Garcez de Oliveira Krone Martins ; Anderson Caproni ; Andre Luis Batista Ribeiro ; Diego Antonio Falceta Gonçalves ; Esteban Walter Gonzalez Clua ; Fabricio Ferrari ; Francesco La Barbera ; Gary Mamon ; Gustavo Amaral Lanfranchi ; Henri Michel Pierre Plana ; Hugo Vicente Capelato ; João Luiz Kohl Moreira ; Joaquim Eduardo Rezende Costa ; Joe I Silk ; Marcelle Soares dos Santos ; Marina Trevisan ; Martin D. Weinberg ; Oswaldo Duarte Miranda ; Sandro Barboza Rembold ; Thiago Signorini Gonçalves
Associated grant(s):17/03173-4 - Gas removal in the Ursa Minor galaxy: linking hydrodynamics and chemical evolution models, PUB.ART
16/11253-5 - Crossing the Rubicon: The fate of gas flows in galaxies, AR.EXT
16/04195-9 - Studying the stellar mass growth of early-type galaxies in the nearby universe, AV.EXT
Associated scholarship(s):20/03301-5 - Determining the properties of the host galaxies of gravitational wave events, BP.PD
16/23563-9 - Velocity distribution of galaxy clustering and their relation to galaxy properties, BP.IC

Abstract

Constraining almost 14 billion years of galaxy evolution from observations of galaxies as they are seen today is fraught with peril. Here we propose a program to extend galaxy evolution studies to infrared wavelengths and higher redshifts (larger lookback times) to consistently investigate galaxies and their environments over a significant time baseline. A major step will be the implementation of the galaxy photometry tool GALPHAT to give a solid statistical basis for analyzing galaxy structural parameters. We have already examined in great detail the properties of early-type galaxies (ETGs) in the nearby Universe. By studying global properties of local ETGs, such as color gradients, the fundamental plane, stellar populations, and their initial mass function (IMF), we have been able to constrain models of galaxy formation and evolution. We have characterized these galaxies' environments using a physically meaningful and consistent measure of the host group/cluster velocity distributions, so that we can begin to separate the effects of environment (nurture) and individual galaxy properties (nature). We will build upon our expertise and existing toolkit to examine galaxies at an earlier epoch, providing rigorous, consistent, and minimally biased comparison samples for evaluating physical scenarios of galaxy formation and assembly. One fundamental aspect of this proposal is the major investment in the Bayesian Inference Engine package. This will create the necessary synergy between our team and the two groups of computer scientists participating in this effort. Projects dealing with massive amounts of data in the near future will require a strong commitment from the two groups. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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VEICULO: TITULO (DATA)

Scientific publications (20)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
LANFRANCHI, GUSTAVO A.; HAZENFRATZ, ROBERTO; CAPRONI, ANDERSON; SILK, JOSEPH. Parameterizing the Outflow from a Central Black Hole in Dwarf Spheroidal Galaxies: A 3D Hydrodynamic Simulation. ASTROPHYSICAL JOURNAL, v. 914, n. 1 JUN 2021. Web of Science Citations: 0.
SAMPAIO, V. M.; DE CARVALHO, R. R.; FERRERAS, I; LAGANA, T. F.; RIBEIRO, A. L. B.; REMBOLD, S. B. Investigating the projected phase space of Gaussian and non-Gaussian clusters. Monthly Notices of the Royal Astronomical Society, v. 503, n. 2, p. 3065-3080, MAY 2021. Web of Science Citations: 0.
NANDI, S.; CAPRONI, A.; KHARB, P.; SEBASTIAN, B.; ROY, R. Double-peaked Lines, Dual VLBI Components, and Precessing Jets in J1328+2752. ASTROPHYSICAL JOURNAL, v. 908, n. 2 FEB 2021. Web of Science Citations: 0.
AGUADO, DAVID S.; MYEONG, G. C.; BELOKUROV, VASILY; EVANS, N. WYN; KOPOSOV, SERGEY E.; ALLENDE PRIETO, CARLOS; LANFRANCHI, GUSTAVO A.; MATTEUCCI, FRANCESCA; SHETRONE, MATTHEW; SBORDONE, LUCA; NAVARRETE, CAMILA; GONZALEZ HERNANDEZ, I, JONAY; CHANAME, JULIO; DE ARRIBA, LUIS PERALTA; YUAN, ZHEN. The S2 stream: the shreds of a primitive dwarf galaxy. Monthly Notices of the Royal Astronomical Society, v. 500, n. 1, p. 889-910, JAN 2021. Web of Science Citations: 1.
REINALDO R. ROSA. Data Science Strategies for Multimessenger Astronomy. Anais da Academia Brasileira de Ciências, v. 93, p. -, 2021.
IBANEZ, MARILYN MINICUCCI; ROSA, REINALDO ROBERTO; GUIMARDES, LAMARTINE N. F. Sentiment Analysis Applied to Analyze Society's Emotion in Two Different Context of Social Media Data. INTELIGENCIA ARTIFICIAL-IBEROAMERICAL JOURNAL OF ARTIFICIAL INTELLIGENCE, v. 23, n. 66, p. 66-84, DEC 2020. Web of Science Citations: 0.
MORELL, D. F.; RIBEIRO, A. L. B.; DE CARVALHO, R. R.; REMBOLD, S. B.; LOPES, P. A. A.; COSTA, A. P. Classification and evolution of galaxies according to the dynamical state of host clusters and galaxy luminosities. Monthly Notices of the Royal Astronomical Society, v. 494, n. 3, p. 3317-3327, MAY 2020. Web of Science Citations: 0.
BARCHI, P. H.; DE CARVALHO, R. R.; ROSA, R. R.; SAUTTER, R. A.; SOARES-SANTOS, M.; MARQUES, B. A. D.; CLUA, E.; GONCALVES, T. S.; DE SA-FREITAS, C.; MOURA, T. C. Machine and Deep Learning applied to galaxy morphology - A comparative study. ASTRONOMY AND COMPUTING, v. 30, JAN 2020. Web of Science Citations: 0.
ROSA, REINALDO R. Data Science Strategies for Multimessenger Astronomy. Anais da Academia Brasileira de Ciências, v. 93, n. 1 2020. Web of Science Citations: 0.
ROUSSEAU-NEPTON, L.; MARTIN, R. P.; ROBERT, C.; DRISSEN, L.; AMRAM, P.; PRUNET, S.; MARTIN, T.; MOUMEN, I.; ADAMO, A.; ALARIE, A.; BARMBY, P.; BOSELLI, A.; BRESOLIN, F.; BUREAU, M.; CHEMIN, L.; FERNANDES, R. C.; COMBES, F.; CROWDER, C.; DELLA BRUNA, L.; DUARTE PUERTAS, S.; EGUSA, F.; EPINAT, B.; KSOLL, V. F.; GIRARD, M.; GOMEZ LLANOS, V.; GOULIERMIS, D.; GRASHA, K.; HIGGS, C.; HLAVACEK-LARRONDO, J.; HO, I. -T.; IGLESIAS-PARAMO, J.; JONCAS, G.; KAM, Z. S.; KARERA, P.; KENNICUTT, R. C.; KLESSEN, R. S.; LIANOU, S.; LIU, L.; LIU, Q.; LUIZ DE AMORIM, A.; LYMAN, J. D.; MARTEL, H.; MAZZILLI-CIRAULO, B.; MCLEOD, A. F.; MELCHIOR, A-L.; MILLAN, I.; MOLLA, M.; MOMOSE, R.; MORISSET, C.; PAN, H. -A.; PATI, A. K.; PELLERIN, A.; PELLEGRINI, E.; PEREZ, I.; PETRIC, A.; PLANA, H.; RAHNER, D.; RUIZ LARA, T.; SANCHEZ-MENGUIANO, L.; SPEKKENS, K.; STASINSKA, G.; TAKAMIYA, M.; VALE ASARI, N.; VILCHEZ, J. M. SIGNALS: I. Survey description. Monthly Notices of the Royal Astronomical Society, v. 489, n. 4, p. 5530-5546, NOV 2019. Web of Science Citations: 0.
NEELAKSHI, J.; ROSA, REINALDO R.; SAVIO, SIOMEL; DE MENESES, FRANCISCO C.; STEPHANY, STEPHAN; FORNARI, GABRIEL; MURALIKRISHNA, P. Spectral fluctuation analysis of ionospheric inhomogeneities over Brazilian territory Part II: E-F valley region plasma instabilities. Advances in Space Research, v. 64, n. 8, p. 1592-1599, OCT 15 2019. Web of Science Citations: 0.
DE CARVALHO, R. R.; COSTA, A. P.; MOURA, T. C.; RIBEIRO, A. L. B. The mass density profile and star formation history of Gaussian and non-Gaussian clusters. Monthly Notices of the Royal Astronomical Society, v. 487, n. 1, p. L86-L90, JUL 2019. Web of Science Citations: 1.
CARVALHO, MAIARA S.; PLANA, HENRI. Internal kinematics of UM 461 and CTS 1020. Monthly Notices of the Royal Astronomical Society, v. 481, n. 1, p. 122-137, NOV 2018. Web of Science Citations: 0.
CUAMBE, VALENTE A.; COSTA, J. E. R.; SIMOES, P. J. A. Flare parameters inferred from a 3D loop model data base. Monthly Notices of the Royal Astronomical Society, v. 477, n. 2, p. 1495-1506, JUN 2018. Web of Science Citations: 1.
ROSA, R. R.; DE CARVALHO, R. R.; SAUTTER, R. A.; BARCHI, P. H.; STALDER, D. H.; MOURA, T. C.; REMBOLD, S. B.; MORELL, D. R. F.; FERREIRA, N. C. Gradient pattern analysis applied to galaxy morphology. Monthly Notices of the Royal Astronomical Society, v. 477, n. 1, p. L101-L105, JUN 2018. Web of Science Citations: 0.
COSTA, A. P.; RIBEIRO, A. L. B.; DE CARVALHO, R. R. The shape of velocity dispersion profiles and the dynamical state of galaxy clusters. Monthly Notices of the Royal Astronomical Society, v. 473, n. 1, p. L31-L35, JAN 2018. Web of Science Citations: 5.
GRIBEL, CAROLINA; MIRANDA, OSWALDO D.; VILAS-BOAS, JOSE WILLIAMS. Connecting the Cosmic Star Formation Rate with the Local Star Formation. ASTROPHYSICAL JOURNAL, v. 849, n. 2 NOV 10 2017. Web of Science Citations: 2.
DE CARVALHO, R. R.; RIBEIRO, A. L. B.; STALDER, D. H.; ROSA, R. R.; COSTA, A. P.; MOURA, T. C. Investigating the Relation between Galaxy Properties and the Gaussianity of the Velocity Distribution of Groups and Clusters. ASTRONOMICAL JOURNAL, v. 154, n. 3 SEP 2017. Web of Science Citations: 14.
CAPRONI, ANDERSON; LANFRANCHI, GUSTAVO AMARAL; CAMPOS BAIO, GABRIEL HENRIQUE; KOWAL, GRZEGORZ; FALCETA-GONCALVES, DIEGO. Gas Removal in the Ursa Minor Galaxy: Linking Hydrodynamics and Chemical Evolution Models. ASTROPHYSICAL JOURNAL, v. 838, n. 2 APR 1 2017. Web of Science Citations: 3.
FERRARI, F.; DE CARVALHO, R. R.; TREVISAN, M. MORFOMETRYKA-A NEW WAY OF ESTABLISHING MORPHOLOGICAL CLASSIFICATION OF GALAXIES. ASTROPHYSICAL JOURNAL, v. 814, n. 1 NOV 20 2015. Web of Science Citations: 8.

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