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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3RFKBME
Repositorysid.inpe.br/mtc-m21c/2018/07.18.16.23
Metadata Repositorysid.inpe.br/mtc-m21c/2018/07.18.16.23.09
Metadata Last Update2019:01.18.02.41.39 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyPereiraSantCamp:2018:FrDeBl
TitleA framework to determine black-hole distribution for large redshift
Year2018
Access Date2024, May 17
Secondary TypePRE CI
2. Context
Author1 Pereira, Eduardo dos Santos
2 Santos, Pedro A.
3 Campos Velho, Haroldo Fraga de
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHC3
Group1 DIDAS-CGCEA-INPE-MCTIC-GOV-BR
2
3 LABAC-COCTE-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 pereira.somoza@gmail.com
2
3 haroldo.camposvelho@inpe.br
Conference NameInternaitonal Conference on Integral Methods in Science and Engineering, 15 (IMSE)
Conference LocationBrighton, UK
Date16-20 July
History (UTC)2018-07-18 16:23:34 :: simone -> administrator :: 2018
2019-01-18 02:41:39 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsMassive and supermassive black holes
inverse problem
regularized solution
AbstractMassive and super-massive black-holes (BH) can be find in the center of all galaxies, according to the opinion from the scientific community. However, an open question is to know the origin of such BHs. One explanation is consider such objects coming from the stars with large redshifts very old stars colapsed during the ancient eras (population-III stars: the first-born stars created in the universe). A framework to investigate this scenario is to derive a mathematical model describing the evolution of the black hole distribution. From the distribution observed nowadays, the problem is formulated as an inverse problem to determine a possible disrtibution for large redshift, where the cost function is given by the square difference between the observation and the model data under association with a regularization operator. The regularized inverse solution can be computed using an optimizer to identify the best solution for the functional to be minimized. Preliminar results are shown using synthetic observational data.
AreaCEA
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4. Conditions of access and use
Languageen
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/3ETR8EH
Citing Item List
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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7. Description control
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