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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3S4M8RB
Repositorysid.inpe.br/mtc-m21c/2018/10.25.12.42
Last Update2018:10.25.12.42.08 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2018/10.25.12.42.08
Metadata Last Update2019:01.14.17.06.37 (UTC) administrator
DOI10.1093/mnras/sty2469
ISSN0035-8711
1365-2966
Citation KeyLopesCrosJabl:2018:SeCoPe
TitleNew insights into time series analysis III: setting constraints on period analysis
Year2018
MonthDec.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size7596 KiB
2. Context
Author1 Lopes, Carlos Eduardo Ferreira
2 Cross, N. J. G.
3 Jablonski, Francisco José
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JH4Q
Group1 AST-CEA-SESPG-INPE-MCTIC-GOV-BR
2
3 DIDAS-CGCEA-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 University of Edinburgh
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 ferreiralopes1011@gmail.com
JournalMonthly Notices of the Royal Astronomical Society
Volume481
Number3
Pages3083-3097
Secondary MarkA1_QUÍMICA A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA A2_ASTRONOMIA_/_FÍSICA B2_ENSINO B5_ENGENHARIAS_IV
History (UTC)2018-10-25 12:42:08 :: simone -> administrator ::
2018-10-25 12:42:08 :: administrator -> simone :: 2018
2018-10-25 12:42:34 :: simone -> administrator :: 2018
2019-01-14 17:06:37 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsmethods: data analysis – methods: statistical – techniques: photometric – astronomical data bases: miscellaneous – binaries: general – stars: variables: general
AbstractE-science of photometric data requires automatic procedures and a precise recognition of periodic patterns to perform science as well as possible on large data. Analytical equations that enable us to set the best constraints to properly reduce processing time and hence optimize signal searches play a crucial role in this matter. These are increasingly important because the production of unbiased samples from variability indices and statistical parameters has not been achievable so far. We discuss the constraints used in periodic signals detection methods as well as the uncertainties in the estimation of periods and amplitudes. The frequency resolution necessary to investigate a time series is assessed with a new approach that estimates the necessary sampling resolution from shifts on the phase diagrams for successive frequency grid points. We demonstrate the underlying meaning of the oversampling factor. We reassess the frequency resolutions required to find the variability periods of EA stars and use the new resolutions to analyse a small sample of EAup Catalina stars, i.e. EA stars previously classified as having insufficient number of observations at the eclipses. As a result, the variability periods of four EAup stars were determined. Moreover, we have a new approach to estimate the amplitude and period variations. From these estimations, information about the intrinsic variations of the sources is obtained. For a complete characterization of the light-curve signal, the period uncertainty and period variation must be determined. Constraints on periodic signal searches were analysed and delimited.
AreaCEA
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/3S4M8RB
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/3S4M8RB
Languageen
Target Filelopes_new.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ETR8EH
8JMKD3MGPCW/3F2NE4L
Citing Item Listsid.inpe.br/bibdigital/2013/10.12.16.06 1
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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