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Ultracool dwarfs (UCDs, mass M < 0.1 Msun, effective temperature Teff < 3000 K) are the lowest-mass stars and brown dwarfs. They trace the structure, star-formation history and chemical evolution of the Milky Way, due in part to the cooling evolution of non-fusing brown dwarfs. The wide-field optical and infrared spectroscopic and photometric surveys that have uncovered the majority of UCDs now known are generally limited to the local volume (distances < 100 pc) since UCDs are intrinsically faint, however, distant samples are needed to constrain their UCD formation history. Color-selected distant samples of UCDs tend to be contaminated by extra-galactic QSOs at high redshift. To select a sample of spectroscopically-confirmed distant UCDs, we have searched for distant UCDs in 0.5 square degrees of low-resolution near-infrared spectral survey data in the WFC3 Infrared Spectroscopic Parallel Survey (WISPS) and the 3D-HST parallel survey using spectral indices and three supervised machine learning methods: random forest, deep neural network (DNN) and convolutional neural network (CNN). As a training set, we employ a set of known UCD templates from the SpeX Prism Library containing >2,000 low-resolution spectra of UCDs. We achieve a completeness of >94% for the traditional selection methods, and classification precisions of 98%, 96%, 95% for the random forest, DNN and CNN respectively allowing the identification of 231 UCDs out of >250,000 spectra in WISP & 3D-HST. We find that the random forest methods selected the largest number of UCDs with the least amount of contamination. In the future, we will explore different architectures and features for the neural networks to increase their precision.
", "publication_date": "2021-02-26", "publisher": "Zenodo", "resource_type": { "id": "poster", "title": { "de": "Poster", "en": "Poster" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "Brown dwarfs" }, { "subject": "Surveys" }, { "subject": "Machine learning" }, { "subject": "Spectroscopy" } ], "title": "Finding Ultracool Dwarfs in Deep HST-WFC3 Surveys with Machine Learning" }, "parent": { "access": { "owned_by": { "user": 200091 } }, "communities": { "default": "3a36ebe6-61f3-417e-a308-74ef84ccb263", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2021-01-13T17:28:36.286355+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "3a36ebe6-61f3-417e-a308-74ef84ccb263", "links": {}, "metadata": { "curation_policy": "Contributions are accepted from participants that presented invited plenary session reviews, contributed plenary session talks, short "Haiku" talks and contributed posters. In addition, individual and collective contributions from (parallel) Topical Interest Rooms are welcome. If you would like to submit a typical conference proceeding, there are no formal page limits. For guidance we recommend you limit yourself to 4-8 pages for contributed talks and 10-15 pages for invited talks. Those wishing to submit a written conference proceeding are encouraged to format the document using the CS20 LaTeX template (available on https://github.com/CoolStars20/proceedings/releases/latest). All such submissions should be made as PDFs and will be reviewed for content by the SOC and we may suggest edits.
\r\n\r\nSubmission of presentation slides from speakers and full posters are also encouraged. PDF versions of these documents are the preferred format for Zenodo contributions to permit the documents to be previewed in a web browser. For maximum impact, a written contribution may be provided with presentation slides and/or a poster to provide greater context. Contributions will be checked for the proper metadata. Instructions about how to prepare your contribution are available on http://coolstars20.cfa.harvard.edu/contributions.html
\r\n", "description": "Proceedings from the Cambridge Workshop on Cool Stars, Stellar Systems, and the Sun, - Virtually Cool: hosted by Smithsonian Astrophysical Observatory Cambridge, Massachusetts from 2 \u2013 4 March 2021.", "page": "", "title": "The 20th (and a half) Cambridge Workshop on Cool Stars, Stellar Systems, and the Sun" }, "revision_id": 0, "slug": "coolstars20half", "updated": "2021-03-01T20:54:17.302650+00:00" } ], "ids": [ "3a36ebe6-61f3-417e-a308-74ef84ccb263" ] }, "id": "4566989", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.4566989", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.4566990", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:4566990", "provider": "oai" } }, "revision_id": 8, "stats": { "all_versions": { "data_volume": 357331470.0, "downloads": 139, "unique_downloads": 125, "unique_views": 228, "views": 260 }, "this_version": { "data_volume": 357331470.0, "downloads": 139, "unique_downloads": 125, "unique_views": 227, "views": 259 } }, "status": "published", "updated": "2021-03-02T20:52:49.253987+00:00", "versions": { "index": 1, "is_latest": true } }