Engenharias mecânica e industrial: gestão e simulação

Job, Ado Eloizo; Diacenco, Adriana Amaro; Batista, Adriano Corrêa; Oliveira, Alan R. de; Nardi, Aline Souza Lopes Ventura; Queiroz, Álvaro Antônio Alencar de; Meneguzzi, Álvaro; Oliveira, Amanda Dantas de; Shimosaka, Amanda Yuki; Prado, Ana Candida de Almeida; Batista, Ana Claudia de Melo Caldas; Conceição, Ana C.; Muniz, Ana Cristina Silva; Guedes, Ana Emilia Leite; Silva, Ana Lúcia Nazareth da; Silva, Ana Raira Gonçalves da; Santos, Ana Rita Leandro dos; Silva, Anaxmandro Pereira da; Marques, Anderson Costa; Almeida, Andréa de Souza; Christofóro, André Luis; Brito, André Luiz Fiquene de; Silva, André Miranda da; Nóbrega, Andreza; Silva, Ane Caroline Celestino; Arnt, Ângela Beatriz Coelho; Denadai, Ângelo Márcio Leite; Alves, Annelise Kopp; Souza, Bárbara Ponciano de; Dias, Bianca Vanjura; Sousa, Bianca Viana de; Barbosa, Bianca Viana de Sousa; Soares, Bluma G.; Utri, Brian; Araújo, Bruna Aline; Kuffner, Bruna Horta Bastos; Figueira, Bruno Apolo Miranda; Morais, Bruno Diego de; Simba, Bruno Galvão; Freitas, Bruno Mello de; Garcia, Bruno Pienis; Cossú, Caio Marcello Felbinger Azevedo; Berenguer, Camila Freire; Moreno, Camila Gomes; Calil, Carlito; Pereira, Carlos Eduardo; Oliveira, Carlos Ivan Ribeiro de; Dias, Carmen Gilda Barroso Tavares; Borba, Caroline Henrique de Souza; Fernandes, Caroline Vasconcelos; Carvalho, Cássia Carla de; Branco, César Tadeu Nasser Medeiros; Silva, Christian Egídio da; Bandeira, Cirlene Fourquet; Santos, Claudinei dos; Salles, C. de; Elisei, Cristina de Carvalho Ares; Furstenberger, Cynthia Beatriz; Salgado, Dair Ferreira; Macedo, Daniel A.; Sachs, Daniela; França, Danielly Campos; Bôas, Daniel Villas; Siqueira, Danilo Diniz; Moura, Danusa de Araújo; Rezende, Dayane dos Santos; Morais, Dayanne Diniz de Souza; Costa, Deibson Silva da; Frazão, Diana Magalhães; Almeida, Diego Henrique de; Araújo, Edcleide Maria; Santos, Eduardo Braga Costa; Barreda, Eduardo Rafael; Budemberg, Eduardo Roque; Teófilo, Edvânia Trajano; Filho, Edwillson Gonçalves de Oliveira; Machado, Elder Jesus Lima; Barbosa, Elieber Barros; Costa, Ellen Cristine Pinto da; Egito, Erick Buonora Tabosa do; Neto, E. T. Wanderley; Miranda, Eval Oliveira; Aquino, Eve Maria Freire de; Banczek, Éverson do Prado; Silva, Ezequiel de Andrade; Fim, Fabiana de Carvalho; Sousa, Fábio Santos de; Andrade, Felipe Lira Formiga; Siqueira, Felippe Fabrício dos Santos; Siquera, Felippe Fabrício dos Santos; Okimoto, Fernando Sérgio; Costa, Franciele Oliveira; Lahr, Francisco Antônio Rocco; Silva, Francisco Diassis Cavalcante da; Barbosa, Francisco Natanael Félix; Oliveira, Gabriel Lucena de; Santana, Geovana Lira; Rodrigues, Geovani; Tractz, Gideã Taques; Gonçalves, Gilberto de Magalhães Bento; Silva, Gilbert; Pereira, Gilmara Brandão; Figueiredo, Gilvan Pereira de; Silva, Gislayne Rayane Alves da; Maia, Guilherme Arielo Rodrigues; Dognani, Guilherme; Alves, Guilherme José Turcatel; Santos, Guilherme Moreira dos; Sousa, Helen Fernandes de; Lira, Hélio de Lucena; Oliveira, Hellen Cristine Prata de; Cabral, Helton José Rodrigues; Pereira, Iaci Miranda; Brandão, Ildnay de Souza Lima; Nogueira, Isabela; Melo, Ivanilda Ramos de; Barros, JanettyJany Pereira; Silva, Jéferson Gomes da; Verly, Jessica; Fonseca, João Christian Paixão; Carregosa, João Domingos Covello; Neto, João Evangelista; Shica, João Paulo Montalván; Assis, Joaquim Teixeira de; Albuquerque, Jonas Santana; Nascimento, Jonath Oliveira do; Souza, Jorge A. Mitrione; Cerri, José Alberto; Neto, José Costa de Macêdo; Araújo, José de Ribamar Mouta; Sobrinho, José Francisco dos Reis; Nascimento, José Heriberto Oliveira do; Alves, José Jaílson Nicácio; Pereira, Josemairon Prado; Mercury, José Manuel Rivas; Carvalho, José Maria Fontes de; Nardi, J.V.; Azevedo, Joyce Batista; Cieslinski, Juliana Esteves Fernandes; Gallego, Juno; Marinho, Kássia Lene Lima; Medeiros, Keila Machado de; ramos, kesia filadelfia dionizio silva; Silva, Késia Karina de Oliveira Souto; Silva, Kleber Roberto Matos da; Gómes, Laércio Gouvêa; Kirch, Laura Ferrazza; Oliveira, Leandra Fernandes de; Campos, Leonardo Queiroz Bueno; Larsson, Letícia Fernanda Gonçalves; Silva, Luana Góes Soares da; Vicente, Lucas; Silva, Lucineide Balbino da; Rosa, Luís Guerra; Bertolino, Luíz Carlos; Setz, L. F. G.; Vieira, Magda Rosângela Santos; Santos, Maísa Maciel Machado; Neto, Manoel da Cruz Barbosa; Alves, Manuel Fellipe Rodrigues Paes; Mosso, Marbey M.; Filgueira, Marcello; Picanço, Marcelo de Souza; Araújo, Márcia Silva de; Lima, Márcio Alves de; Rocha, Márcio Roberto da; Oliveira, Marco Antonio Barbosa de; Anjos, Marcos Alyssandro Soares dos; Pereira, Marcos Cesar de Moraes; Silva, Marcos Mattheus Lopes da; Boscoli, Maria Alessandra Bacaro; Andrade, Maria Rosiane de Almeida; Cunha, Marilia Claudino Moreira; Oliveira, Marilía P. de; Diniz, Marineide Jussara; Rocha, Marisa Cristina Guimarães; Fernandes, Mariza de Carvalho Montenegro; Silva, Matheus Henryque Almeida e; Moraes, Milena Carvalho de; Leão, Mirtânia Antunes; Benachour, Mohand; Nascimento, Nayra Reis do; Alcântara, Nelson Guedes de; Neto, Olímpio Baldoino da Costa Vargens; Detlinger, Paloma; Rodrigues, Paulo Rogério Pinto; Assis, Paulo Santos; Caetano, Paulo Victor Cunha; Lima, Pedro Henrique Pinheiro; Silva, Pietro Olegario Da; Teixeira, Radamés da Silva; Fontes, Raphael Siqueira; Ladchumananandasivam, Rasiah; Santos, Raul Franklin Andrade; Santos, Reinan Tiago Fernandes dos; Barbosa, Renata; Cosse, Renato Lemos; Peixoto, Ricardo André Fiorotti; Dutra, Ricardo Peixoto Suassuna; Magnago, Roberto de Oliveira; Fujiyama, Roberto Tetsuo; Ferreira, Rodholfo da Silva Barbosa; Helleis, Rodrigo; Menezes, Romualdo Rodrigues; Cozza, Ronaldo Câmara; Nascimento, Ronaldo Veronês; Mol, Rosana Marcia de Resende; Oliveira, Rosane Maria Pessoa Betânio; Farias, Rosiane Maria da Costa; Ferreira, Ruan L.S.; Antunes, Sandra Regina Masetto; Oliveira, Sandriely Sonaly Lima; Medeiros, Sarah Elisa; Oliveira, S.; Güths, Saulo; Tinô, Sérgio Renan Lopes; Montoro, Sérgio Roberto; Filho, Severino Leopoldino Urtiga; Kimura, Solenise Pinto Rodrigues; Stares, Steferson Luiz; Jacuboski, Suellen de Mendonça Terroso Ferreira; Indrusiak, Tamara; Alves, Tatianny Soares; Carneiro, Tessa Martins de Carvalho; Garcêz, Thaís Spíndola; Nogueira, Thiago Arantes; Mousinho, Thyálita Coêlho Moreira; Almeida, Tiago Hendrigo de; Alves, Tiago; Silva, Túlio Valério Agustinho da; Leal, Valdemar Silva; Meneses, Valter Alves de; Oliveira, Vanessa Cristina da Costa; Neves, Vanessa Ferreira; Taketa, Vanessa Maria Yae Do Rosário; Souza, Vanessa Moura de; Ventrella, Vicente Afonso; Barbosa, Victor Antunes Silva; Martins, Vinícius Abilio; Freire, Vitória de Andrade; Barroso, Vitória Santos; Dias, Waldeir Silva; Martins, Waldemir dos Passos; Fontes, Wanna Carvalho; Banna, Wassim Raja El; Batista, Wilton Walter; Brandão, Yana Batista; Santos, Zora Ionara Gama dos

doi:10.22533/at.ed.772180506

Cited by 16 publications

(28 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A procedure that some studies employ in order to extract information from a sparse CMD is to compare it to a nearby offset field (e.g. Bonatto & Bica 2007;Maia et al 2010). This can be done visually or with an automated de-contamination procedure that removes stars from the investigated CMD based on the photometric structure of the reference field.…”

Section: Signal In Photometric Spacementioning

confidence: 99%

“…C.1). Although Bonatto & Bica (2007) and Maia et al (2010) warn of the limitations of this procedure in case of unknown variable extinction, it is often applied without sufficient justification (e.g. by Angelo et al 2018Angelo et al , 2019aPiatti et al 2019).…”

Section: Signal In Photometric Spacementioning

confidence: 99%

“…Such artificial detections are especially likely in the presence of variable extinction. Bonatto & Bica (2007) warn that when working with a binned CMD, any differential reddening whose effect is comparable to the bin dimension will lead to erroneous comparisons between the assumed cluster and reference fields. Figure C.1 shows the CMD of a synthetic field population obtained from the Gaia Universe Snapshot Model (GUMS, Robin et al 2012).…”

Section: Appendix A: Notes On Individual Asterismsmentioning

confidence: 99%

See 2 more Smart Citations

Clusters and mirages: cataloguing stellar aggregates in the Milky Way

Cantat-Gaudin

Anders

2020

A&A

215

View full text Add to dashboard Cite

Context.Many of the open clusters listed in modern catalogues were initially reported by visual astronomers as apparent overdensities of bright stars. As observational techniques and analysis methods continue to improve, some of them have been shown to be chance alignments of stars and not true clusters. Recent publications making use of Gaia DR2 data have provided membership lists for over a thousand clusters, however, many nearby objects listed in the literature have so far evaded detection. Aims. We aim to update the Gaia DR2 cluster census by performing membership determinations for known clusters that had been missed by previous studies and for recently-discovered clusters. We investigate a sub-set of non-detected clusters that, according to their literature parameters, should be easily visible in Gaia. Confirming or disproving the existence of old, inner-disc, high-altitude clusters is especially important as their survival or disruption is linked to the dynamical processes that drive the evolution of the Milky Way. Methods. We employed the Gaia DR2 catalogue and a membership assignment procedure, as well as visual inspections of spatial, proper motion, and parallax distributions. We used membership lists provided by other authors when available. Results. We derived membership lists for 150 objects, including ten that were already known prior to Gaia. We compiled a final list of members for 1481 clusters. Among the objects that we are still unable to identify with the Gaia data, we argue that many (mostly putatively old, relatively nearby, high-altitude objects) are not true clusters. Conclusions. At present, the only confirmed cluster located further than 500 pc away from the Galactic plane within the Solar circle is NGC 6791. It is likely that the objects discussed in this study only represent a fraction of the non-physical groupings erroneously listed in the catalogues as genuine open clusters and that those lists need further cleaning.

show abstract

Section: Signal In Photometric Spacementioning

confidence: 99%

Section: Signal In Photometric Spacementioning

confidence: 99%

Section: Appendix A: Notes On Individual Asterismsmentioning

confidence: 99%

See 1 more Smart Citation

Clusters and mirages: cataloguing stellar aggregates in the Milky Way

Cantat-Gaudin

Anders

2020

A&A

215

View full text Add to dashboard Cite

show abstract

“…Briefly, their method consists in a decontamination algorithm (Bonatto & Bica 2007) which builds 3D CMDs (J, (J − H), (J − Ks) axes) divided in cells with different grid configurations and assigns memberhip probabilities according to the local overdensity of stars in the cluster CMD compared to the distribution of field stars in the same data domain in the field CMD. Keeping those stars with higher memberships allowed the construction of decontaminated CMDs.…”

Section: Comparison With Previous Workmentioning

confidence: 99%

Characterizing low-contrast Galactic open clusters with Gaia Data Release 2

Angelo

Santos

Corradi

2020

Monthly Notices of the Royal Astronomical Society

View full text Add to dashboard Cite

In this study, we characterized 16 objects previously classified as faint or low contrast Galactic open clusters (OCs). We employed parameters associated to the OCs dynamical evolution: core (r c ), tidal (r t ) and half-mass (r hm ) radii, age and crossing time (t cr ). Relations among these parameters were exploited to draw some evolutionary connections. We also included 11 OCs with previous characterizations to provide wider coverage of the parameters space. The investigated sample spans a considerable range in age (log (t yr −1 ) ∼7.0−9.7) and Galactocentric distance (R G ∼ 6 − 11 kpc). Most of them present solar metallicity. We employed GAIA DR2 astrometry and photometry and selected member stars through a decontamination algorithm which explores the 3D astrometric space (µ α , µ δ , ) to assign membership likelihoods. Previous studies of most of these objects were based mostly on photometric information. All investigated OCs were proved to be real stellar concentrations and relations among their parameters indicate a general disruption scenario in which OCs tend to be more concentrated as they evolve. Internal interactions sucessively drive OCs to develop more dynamically relaxed structures and make them less subject to mass loss due to tidal effects. Tidal radius tends to increase with R G in accordance with the strength of the Galactic tidal field. Besides, the correlation between the r c and the dynamical ratio τ dyn = age/t cr suggests two distinct evolutionary sequences, which may be consequence of different initial formation conditions.

show abstract

“…The algorithm designed for this work is based on the statistical decontamination procedure described in Bonatto & Bica 2007, and references therein, which has been succesfully used for the study of Galactic GCs in regions of the Milky Way with a high density of fore/background stars. Typically, that method considers the colors and magnitudes of the stars in the region under study and compares the distribution in the same plane for a sample of control field stars.…”

Section: Methodsmentioning

confidence: 99%

Using Gaia DR2 to detect extratidal structures around the Galactic globular cluster NGC 362

Carballo‐Bello

2019

Monthly Notices of the Royal Astronomical Society

View full text Add to dashboard Cite

We explore the possibility of searching for extratidal features around the Galactic globular cluster NGC 362 using the Gaia DR2 together with a modified version of a classical statistical decontamination algorithm. Our results suggest that an important stellar component is associated with this globular cluster, which is perfectly distinguishable from the populations in the Small Magellanic Cloud and that of the nearby NGC 104 (47 Tucanae). We thus confirm once again the power of Gaia to disentangle different stellar components along the same line-of-sight.

show abstract

Engenharias mecânica e industrial: gestão e simulação

Cited by 16 publications

References 5 publications

Clusters and mirages: cataloguing stellar aggregates in the Milky Way

Clusters and mirages: cataloguing stellar aggregates in the Milky Way

Characterizing low-contrast Galactic open clusters with Gaia Data Release 2

Using Gaia DR2 to detect extratidal structures around the Galactic globular cluster NGC 362

Contact Info

Product

Resources

About