| 1. Identificação | ||||
| Tipo de Referência | Artigo em Evento (Conference Proceedings) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34T/4878B7P | |||
| Repositório | sid.inpe.br/mtc-m21d/2022/12.13.17.14 | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21d/2022/12.13.17.14.27 | |||
| Última Atualização dos Metadados | 2023:01.03.16.46.27 (UTC) administrator | |||
| Chave Secundária | INPE--PRE/ | |||
| Chave de Citação | CarrubaAljCarDomMar:2022:ClAsRe | |||
| Título | Classification of asteroids’ resonant arguments using Convolutional Neural Networks  | |||
| Ano | 2022 | |||
| Data de Acesso | 13 maio 2024 | |||
| Tipo Secundário | PRE CN | |||
| 2. Contextualização | ||||
| Autor | 1 Carruba, Valério 2 Aljbaae, Safwan 3 Caritá, Gabriel Antonio 4 Domingos, R. C. 5 Martins, B. | |||
| Grupo | 1 2 DIMEC-CGCE-INPE-MCTI-GOV-BR 3 CMC-ETES-DIPGR-INPE-MCTI-GOV-BR | |||
| Afiliação | 1 Universidade Estadual Paulista (UNESP) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Universidade Estadual Paulista (UNESP) 5 Universidade Estadual Paulista (UNESP) | |||
| Endereço de e-Mail do Autor | 1 valerio.carruba@unesp.br 2 safwan.aljbaae@gmail.com 3 gabrielcarita@gmail.com | |||
| Nome do Evento | Colóquio Brasileiro de Dinâmica Orbital, 221 | |||
| Localização do Evento | 12-16 dez. 2022 | |||
| Data | São José dos Campos, SP | |||
| Histórico (UTC) | 2022-12-13 17:14:27 :: simone -> administrator :: 2023-01-03 16:46:27 :: administrator -> simone :: 2022 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Tipo de Versão | publisher | |||
| Resumo | The asteroidal main belt is crossed by a web of mean-motion and secular resonances, that occur when there is a commensurability between fundamental frequencies of the asteroids and planets. Traditionally, these objects were identified by visual inspection of the time evolution of their resonant argument, which is a combination of orbital elements of the asteroid and the perturbing planet(s). Since the population of asteroids affected by these resonances is, in some cases, of the order of several thousand, this has become a taxing task for a human observer. Recent works used Convolutional Neural Networks (CNN) models to perform these tasks automatically. Here, we compare the outcome of such models with those of some of the most advanced and publicly available CNN architectures, like the VGG, Inception and ResNet. The performance of these models is first tested and optimized for overfitting issues, using validation sets and a series of regularization techniques like data augmentation, dropout, and batch normalization. The three best-performing models were then used to predict the labels of larger testing databases containing thousands of images. The VGG model, with and without regularizations, proved to be the most efficient method to predict labels of large datasets. Applications of such methods to asteroids interacting with secular and mean-motion resonances, like the ν6 and M1:2 exterior resonance with Mars, already produced significant discoveries, like the identification of the (12988) Tiffanykapler asteroid family. This is the first young asteroid family ever found in a linear secular resonance, for which precise estimates of both the age and the ejection velocity field can be obtained. Since the Vera C. Rubin observatory is likely to discover up to four million new asteroids in the next few years, the use of CNN models might become quite valuable to identify populations of resonant minor bodies. | |||
| Área | ETES | |||
| Arranjo 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CMC > Classification of asteroids’... | |||
| Arranjo 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCE > Classification of asteroids’... | |||
| Conteúdo da Pasta doc | não têm arquivos | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| Idioma | pt | |||
| Grupo de Usuários | simone | |||
| Visibilidade | shown | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3F2UALS 8JMKD3MGPCW/46KTFK8 | |||
| Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notas | ||||
| Campos Vazios | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url volume | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||