| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/4878B7P | |||
| Repository | sid.inpe.br/mtc-m21d/2022/12.13.17.14 | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2022/12.13.17.14.27 | |||
| Metadata Last Update | 2023:01.03.16.46.27 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| Citation Key | CarrubaAljCarDomMar:2022:ClAsRe | |||
| Title | Classification of asteroids’ resonant arguments using Convolutional Neural Networks  | |||
| Year | 2022 | |||
| Access Date | 2024, May 13 | |||
| Secondary Type | PRE CN | |||
| 2. Context | ||||
| Author | 1 Carruba, Valério 2 Aljbaae, Safwan 3 Caritá, Gabriel Antonio 4 Domingos, R. C. 5 Martins, B. | |||
| Group | 1 2 DIMEC-CGCE-INPE-MCTI-GOV-BR 3 CMC-ETES-DIPGR-INPE-MCTI-GOV-BR | |||
| Affiliation | 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) | |||
| Author e-Mail Address | 1 valerio.carruba@unesp.br 2 safwan.aljbaae@gmail.com 3 gabrielcarita@gmail.com | |||
| Conference Name | Colóquio Brasileiro de Dinâmica Orbital, 221 | |||
| Conference Location | 12-16 dez. 2022 | |||
| Date | São José dos Campos, SP | |||
| History (UTC) | 2022-12-13 17:14:27 :: simone -> administrator :: 2023-01-03 16:46:27 :: administrator -> simone :: 2022 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Version Type | publisher | |||
| Abstract | 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. | |||
| Area | ETES | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CMC > Classification of asteroids’... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCE > Classification of asteroids’... | |||
| doc Directory Content | there are no files | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | pt | |||
| User Group | simone | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3F2UALS 8JMKD3MGPCW/46KTFK8 | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | 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. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||