001     893208
005     20210628151000.0
024 7 _ |a 10.3389/fmed.2021.625561
|2 doi
024 7 _ |a 2128/27971
|2 Handle
024 7 _ |a 34055823
|2 pmid
024 7 _ |a WOS:000654207000001
|2 WOS
037 _ _ |a FZJ-2021-02625
082 _ _ |a 610
100 1 _ |a Duchemin, Charlotte
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
245 _ _ |a Production Cross-Section Measurements for Terbium Radionuclides of Medical Interest Produced in Tantalum Targets Irradiated by 0.3 to 1.7 GeV Protons and Corresponding Thick Target Yield Calculations
260 _ _ |a Lausanne
|c 2021
|b Frontiers Media
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1623867831_4268
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a This work presents the production cross-sections of Ce, Tb and Dy radionuclides produced by 300 MeV to 1.7 GeV proton-induced spallation reactions in thin tantalum targets as well as the related Thick Target production Yield (TTY) values and ratios. The motivation is to optimise the production of terbium radionuclides for medical applications and to find out at which energy the purity of the collection by mass separation would be highest. For that purpose, activation experiments were performed using the COSY synchrotron at FZ Jülich utilising the stacked-foils technique and γ spectrometry with high-purity germanium detectors. The Al-27(p,x)Na-24 reaction has been used as monitor reaction. All experimental data have been systematically compared with the existing literature.
536 _ _ |a 525 - Decoding Brain Organization and Dysfunction (POF4-525)
|0 G:(DE-HGF)POF4-525
|c POF4-525
|x 0
|f POF IV
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Cocolios, Thomas E.
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Dockx, Kristof
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Farooq-Smith, Gregory J.
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Felden, Olaf
|0 P:(DE-Juel1)131152
|b 4
|u fzj
700 1 _ |a Formento-Cavaier, Roberto
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Gebel, Ralf
|0 P:(DE-Juel1)131164
|b 6
|u fzj
700 1 _ |a Köster, Ulli
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Neumaier, Bernd
|0 P:(DE-Juel1)166419
|b 8
|u fzj
700 1 _ |a Scholten, Bernhard
|0 P:(DE-Juel1)131846
|b 9
|u fzj
700 1 _ |a Spahn, Ingo
|0 P:(DE-Juel1)131849
|b 10
|u fzj
700 1 _ |a Spellerberg, Stefan
|0 P:(DE-Juel1)131850
|b 11
|u fzj
700 1 _ |a Stamati, Maria E.
|0 P:(DE-HGF)0
|b 12
700 1 _ |a Stegemann, Simon
|0 P:(DE-HGF)0
|b 13
700 1 _ |a Verhoeven, Hannelore
|0 P:(DE-HGF)0
|b 14
773 _ _ |a 10.3389/fmed.2021.625561
|g Vol. 8, p. 625561
|0 PERI:(DE-600)2775999-4
|p 625561
|t Frontiers in medicine
|v 8
|y 2021
|x 2296-858X
856 4 _ |u https://juser.fz-juelich.de/record/893208/files/fmed-08-625561.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:893208
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)131152
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)131164
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 8
|6 P:(DE-Juel1)166419
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 9
|6 P:(DE-Juel1)131846
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 10
|6 P:(DE-Juel1)131849
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 11
|6 P:(DE-Juel1)131850
913 0 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-573
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v Neuroimaging
|x 0
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-09-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-09-29
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-09-29
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-09-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-09-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2020-09-29
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2020-09-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-09-29
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
|d 2020-09-29
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2020-09-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-09-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2020-09-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-09-29
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-5-20090406
|k INM-5
|l Nuklearchemie
|x 0
920 1 _ |0 I:(DE-Juel1)IKP-TA-20111104
|k IKP-TA
|l IKP- Technische und Administrative Infrastruktur
|x 1
920 1 _ |0 I:(DE-Juel1)IKP-4-20111104
|k IKP-4
|l Kernphysikalische Großgeräte
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-5-20090406
980 _ _ |a I:(DE-Juel1)IKP-TA-20111104
980 _ _ |a I:(DE-Juel1)IKP-4-20111104
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21