Scaling K2 . II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter
© 2020. The American Astronomical Society. All rights reserved.. We present a uniform transiting exoplanet candidate list for Campaign 5 of the K2 mission. This catalog contains 75 planets with seven multi-planet systems (five double, one triple, and one quadruple planet system). Within the range of...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Astronomical Society
2021
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| Online Access: | https://hdl.handle.net/1721.1/132403 |
| _version_ | 1811089973645934592 |
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| author | Zink, Jon K Hardegree-Ullman, Kevin K Christiansen, Jessie L Dressing, Courtney D Crossfield, Ian JM Petigura, Erik A Schlieder, Joshua E Ciardi, David R |
| author_facet | Zink, Jon K Hardegree-Ullman, Kevin K Christiansen, Jessie L Dressing, Courtney D Crossfield, Ian JM Petigura, Erik A Schlieder, Joshua E Ciardi, David R |
| author_sort | Zink, Jon K |
| collection | MIT |
| description | © 2020. The American Astronomical Society. All rights reserved.. We present a uniform transiting exoplanet candidate list for Campaign 5 of the K2 mission. This catalog contains 75 planets with seven multi-planet systems (five double, one triple, and one quadruple planet system). Within the range of our search, we find eight previously undetected candidates, with the remaining 67 candidates overlapping 51% of the study of Kruse et al. that manually vets candidates from Campaign 5. In order to vet our potential transit signals, we introduce the Exoplanet Detection Identification Vetter (EDI-Vetter), which is a fully automated program able to determine whether a transit signal should be labeled as a false positive or a planet candidate. This automation allows us to create a statistically uniform catalog, ideal for measurements of planet occurrence rate. When tested, the vetting software is able to ensure that our sample is 94.2% reliable against systematic false positives. Additionally, we inject artificial transits at the light-curve level of the raw K2 data and find that the maximum completeness of our pipeline is 70% before vetting and 60% after vetting. For convenience of future studies of occurrence rate, we include measurements of stellar noise (CDPP) and the three-transit window function for each target. This study is part of a larger survey of the K2 data set and the methodology that will be applied to the entirety of that set. |
| first_indexed | 2024-09-23T14:28:54Z |
| format | Article |
| id | mit-1721.1/132403 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:28:54Z |
| publishDate | 2021 |
| publisher | American Astronomical Society |
| record_format | dspace |
| spelling | mit-1721.1/1324032021-09-21T03:19:39Z Scaling K2 . II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter Zink, Jon K Hardegree-Ullman, Kevin K Christiansen, Jessie L Dressing, Courtney D Crossfield, Ian JM Petigura, Erik A Schlieder, Joshua E Ciardi, David R © 2020. The American Astronomical Society. All rights reserved.. We present a uniform transiting exoplanet candidate list for Campaign 5 of the K2 mission. This catalog contains 75 planets with seven multi-planet systems (five double, one triple, and one quadruple planet system). Within the range of our search, we find eight previously undetected candidates, with the remaining 67 candidates overlapping 51% of the study of Kruse et al. that manually vets candidates from Campaign 5. In order to vet our potential transit signals, we introduce the Exoplanet Detection Identification Vetter (EDI-Vetter), which is a fully automated program able to determine whether a transit signal should be labeled as a false positive or a planet candidate. This automation allows us to create a statistically uniform catalog, ideal for measurements of planet occurrence rate. When tested, the vetting software is able to ensure that our sample is 94.2% reliable against systematic false positives. Additionally, we inject artificial transits at the light-curve level of the raw K2 data and find that the maximum completeness of our pipeline is 70% before vetting and 60% after vetting. For convenience of future studies of occurrence rate, we include measurements of stellar noise (CDPP) and the three-transit window function for each target. This study is part of a larger survey of the K2 data set and the methodology that will be applied to the entirety of that set. 2021-09-20T18:22:15Z 2021-09-20T18:22:15Z 2020-10-19T18:25:07Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/132403 en 10.3847/1538-3881/AB7448 Astronomical Journal Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Astronomical Society The American Astronomical Society |
| spellingShingle | Zink, Jon K Hardegree-Ullman, Kevin K Christiansen, Jessie L Dressing, Courtney D Crossfield, Ian JM Petigura, Erik A Schlieder, Joshua E Ciardi, David R Scaling K2 . II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter |
| title | Scaling K2 . II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter |
| title_full | Scaling K2 . II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter |
| title_fullStr | Scaling K2 . II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter |
| title_full_unstemmed | Scaling K2 . II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter |
| title_short | Scaling K2 . II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter |
| title_sort | scaling k2 ii assembly of a fully automated c5 planet candidate catalog using edi vetter |
| url | https://hdl.handle.net/1721.1/132403 |
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