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The upgraded ISOLDE yield database - A new tool to predict beam intensities

At the CERN-ISOLDE facility a variety of radioactive ion beams are available to users of the facility. The number of extractable isotopes estimated from yield database data exceeds 1000 and is still increasing. Due to high demand and scarcity of available beam time, precise experiment planning is re...

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Autores principales: Ballof, J, Ramos, J P, Molander, A, Johnston, K, Rothe, S, Stora, T, Düllmann, Ch E
Lenguaje:eng
Publicado: 2020
Acceso en línea:https://dx.doi.org/10.1016/j.nimb.2019.05.044
http://cds.cern.ch/record/2706304
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author Ballof, J
Ramos, J P
Molander, A
Johnston, K
Rothe, S
Stora, T
Düllmann, Ch E
author_facet Ballof, J
Ramos, J P
Molander, A
Johnston, K
Rothe, S
Stora, T
Düllmann, Ch E
author_sort Ballof, J
collection CERN
description At the CERN-ISOLDE facility a variety of radioactive ion beams are available to users of the facility. The number of extractable isotopes estimated from yield database data exceeds 1000 and is still increasing. Due to high demand and scarcity of available beam time, precise experiment planning is required. The yield database stores information about radioactive beam yields and the combination of target material and ion source needed to extract a certain beam along with their respective operating conditions. It allows to investigate the feasibility of an experiment and the estimation of required beamtime. With the increasing demand for ever more exotic beams, needs arise to extend the functionality of the database and website not only to provide information about yields determined experimentally, but also to predict yields of isotopes, which can only be measured with sophisticated setups. For the prediction of yields, in-target production and information about release properties of target materials must be known. While the former were estimated in a simulation campaign using FLUKA and ABRABLA codes, the latter is available from measurement data as already stored in the database. We have compiled the information necessary to predict yields, and made available a yield prediction tool as web application. This currently undergoes extensive testing and will be available as powerful tool to the ISOLDE user community.
id oai-inspirehep.net-1736793
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
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spelling oai-inspirehep.net-17367932022-01-14T14:55:29Zdoi:10.1016/j.nimb.2019.05.044http://cds.cern.ch/record/2706304engBallof, JRamos, J PMolander, AJohnston, KRothe, SStora, TDüllmann, Ch EThe upgraded ISOLDE yield database - A new tool to predict beam intensitiesAt the CERN-ISOLDE facility a variety of radioactive ion beams are available to users of the facility. The number of extractable isotopes estimated from yield database data exceeds 1000 and is still increasing. Due to high demand and scarcity of available beam time, precise experiment planning is required. The yield database stores information about radioactive beam yields and the combination of target material and ion source needed to extract a certain beam along with their respective operating conditions. It allows to investigate the feasibility of an experiment and the estimation of required beamtime. With the increasing demand for ever more exotic beams, needs arise to extend the functionality of the database and website not only to provide information about yields determined experimentally, but also to predict yields of isotopes, which can only be measured with sophisticated setups. For the prediction of yields, in-target production and information about release properties of target materials must be known. While the former were estimated in a simulation campaign using FLUKA and ABRABLA codes, the latter is available from measurement data as already stored in the database. We have compiled the information necessary to predict yields, and made available a yield prediction tool as web application. This currently undergoes extensive testing and will be available as powerful tool to the ISOLDE user community.CERN-ISOLDE-CONF-2019-006oai:inspirehep.net:17367932020
spellingShingle Ballof, J
Ramos, J P
Molander, A
Johnston, K
Rothe, S
Stora, T
Düllmann, Ch E
The upgraded ISOLDE yield database - A new tool to predict beam intensities
title The upgraded ISOLDE yield database - A new tool to predict beam intensities
title_full The upgraded ISOLDE yield database - A new tool to predict beam intensities
title_fullStr The upgraded ISOLDE yield database - A new tool to predict beam intensities
title_full_unstemmed The upgraded ISOLDE yield database - A new tool to predict beam intensities
title_short The upgraded ISOLDE yield database - A new tool to predict beam intensities
title_sort upgraded isolde yield database - a new tool to predict beam intensities
url https://dx.doi.org/10.1016/j.nimb.2019.05.044
http://cds.cern.ch/record/2706304
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