Show simple item record

dc.contributor.authorGratton, R
dc.contributor.authorMesa, D
dc.contributor.authorBonavita, M
dc.contributor.authorZurlo, A
dc.contributor.authorMarino, S
dc.contributor.authorKervella, P
dc.contributor.authorDesidera, S
dc.contributor.authorD’Orazi, V
dc.contributor.authorRigliaco, E
dc.date.accessioned2024-01-26T14:33:32Z
dc.date.issued2023-10-17
dc.date.updated2024-01-26T11:29:55Z
dc.description.abstractRadial velocity surveys suggest that the Solar System may be unusual and that Jupiter-like planets have a frequency &lt; 20% around solar-type stars. However, they may be much more common in one of the closest associations in the solar neighbourhood. Young moving stellar groups are the best targets for direct imaging of exoplanets and four massive Jupiter-like planets have been already discovered in the nearby young <jats:italic>β</jats:italic> Pic Moving Group (BPMG) via high-contrast imaging, and four others were suggested via high precision astrometry by the European Space Agency’s Gaia satellite. Here we analyze 30 stars in BPMG and show that 20 of them might potentially host a Jupiter-like planet as their orbits would be stable. Considering incompleteness in observations, our results suggest that Jupiter-like planets may be more common than previously found. The next Gaia data release will likely confirm our prediction.en_GB
dc.description.sponsorshipASI-INAFen_GB
dc.description.sponsorshipFONDECYTen_GB
dc.description.sponsorshipANID— Millennium Science Initiative Programmeen_GB
dc.description.sponsorshipPRIN-INAF 2019en_GB
dc.format.extent6232-
dc.identifier.citationVol. 14, No. 1, article 6232en_GB
dc.identifier.doihttps://doi.org/10.1038/s41467-023-41665-0
dc.identifier.grantnumber2018-16-HH.0en_GB
dc.identifier.grantnumber11190837en_GB
dc.identifier.grantnumberNCN2021_080en_GB
dc.identifier.urihttp://hdl.handle.net/10871/135154
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttp://archive.eso.org/eso/eso_archive_main.htmlen_GB
dc.relation.urlhttps://www.cosmos.esa.int/web/gaia/dr3en_GB
dc.relation.urlhttps://www.nasa.gov/tess-transiting-exoplanet-survey-satelliteen_GB
dc.relation.urlhttp://exoplanet.eu/en_GB
dc.relation.urlhttps://www.exoplanetes.umontreal.ca/banyan/banyansigma.phpen_GB
dc.rights© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/ licenses/by/4.0/.en_GB
dc.subjectExoplanetsen_GB
dc.subjectStarsen_GB
dc.titleJupiter-like planets might be common in a low-density environmenten_GB
dc.typeArticleen_GB
dc.date.available2024-01-26T14:33:32Z
dc.identifier.issn2041-1723
exeter.article-number6232
dc.descriptionThis is the final version. Available from Springer Nature via the DOI in this record. en_GB
dc.descriptionData availability: Datasets generated during and/or analysed during the current study are provided with this paper in the source_file.xls file. To generate this data we used the ESO Archive at http://archive.eso.org/eso/eso_archive_main.html; the Gaia Data Release 3 (DR3, https://www.cosmos.esa.int/web/gaia/dr3); the TESS database https://www.nasa.gov/tess-transiting-exoplanet-survey-satellite; the Extrasolar Encyclopedia (http://exoplanet.eu/ Source data are provided with this paper.en_GB
dc.descriptionCode availability: We wrote two simple procedures using IDL: out_of_coro.pro: this code estimates the probability of observing a Jupiter-like planet projected out of the coronagraphic field mask using a Monte Carlo approach; best_fraction.pro: this code estimates the most probable value of the fraction of stars hosting Jupiter-like planets given the observed number of detections in the BPMG sample. Both codes are available from the first author upon request. We used the on-line BANYAN Σ tool (https://www.exoplanetes.umontreal.ca/banyan/banyansigma.php) to check the membership of the targets to the BPMG associationen_GB
dc.identifier.journalNature Communicationsen_GB
dc.relation.ispartofNature Communications, 14(1)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-09-06
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-10-17
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-01-26T14:28:31Z
refterms.versionFCDVoR
refterms.dateFOA2024-01-26T14:33:33Z
refterms.panelBen_GB
refterms.dateFirstOnline2023-10-17


Files in this item

This item appears in the following Collection(s)

Show simple item record

© The Author(s) 2023. Open Access This article is licensed under a Creative Commons
Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as
long as you give appropriate credit to the original author(s) and the
source, provide a link to the Creative Commons licence, and indicate if
changes were made. The images or other third party material in this
article are included in the article’s Creative Commons licence, unless
indicated otherwise in a credit line to the material. If material is not
included in the article’s Creative Commons licence and your intended
use is not permitted by statutory regulation or exceeds the permitted
use, you will need to obtain permission directly from the copyright
holder. To view a copy of this licence, visit http://creativecommons.org/
licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/ licenses/by/4.0/.