Automatic Spectroscopic Data Reduction using BANZAI
Time domain astronomy has both increased the data volume and the urgency of data reduction in recent years. Spectra provide key insights into astrophysical phenomena but require complex reductions. Las Cumbres Observatory has six spectrographs: two low-dispersion FLOYDS instruments and four NRES hig...
Gespeichert in:
| Veröffentlicht in: | arXiv.org 2022-12 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | arXiv.org |
| container_volume | |
| creator | McCully, Curtis Daily, Matthew Brandt, G Mirek Johnson, Marshall C Bowman, Mark Daniel-Rolf Harbeck |
| description | Time domain astronomy has both increased the data volume and the urgency of data reduction in recent years. Spectra provide key insights into astrophysical phenomena but require complex reductions. Las Cumbres Observatory has six spectrographs: two low-dispersion FLOYDS instruments and four NRES high-resolution echelle spectrographs. We present an extension of the data reduction framework, BANZAI, to process spectra automatically, with no human interaction. We also present interactive tools we have developed for human vetting and improvement of the spectroscopic reduction. Tools like those presented here are essential to maximize the scientific yield from current and future time domain astronomy. |
| doi_str_mv | 10.48550/arxiv.2212.11381 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_arxiv</sourceid><recordid>TN_cdi_arxiv_primary_2212_11381</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2757228186</sourcerecordid><originalsourceid>FETCH-LOGICAL-a526-d02fb9a250c2b04a0a0fa86429c5c843e02a88b71f7726433b26dbb826c84c343</originalsourceid><addsrcrecordid>eNotj01Lw0AYhBdBsNT-AE8GPCfuvvvZY6xfhaKgPXkJ724SSbHZuLsR_ffG1tMwzDDMQ8gFo4UwUtJrDN_dVwHAoGCMG3ZCZsA5y40AOCOLGHeUUlAapOQzwssx-T2mzmWvQ-NS8NH5YXK3mDB7aerRpc732Ri7_j27KZ_eyvU5OW3xIzaLf52T7f3ddvWYb54f1qtyk6MEldcUWrtEkNSBpQIp0haNErB00hnBGwpojNWs1RqU4NyCqq01oKbUccHn5PI4eyCqhtDtMfxUf2TVgWxqXB0bQ_CfYxNTtfNj6KdPFWipAQwziv8CWXhOwA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2757228186</pqid></control><display><type>article</type><title>Automatic Spectroscopic Data Reduction using BANZAI</title><source>arXiv.org</source><source>Free E- Journals</source><creator>McCully, Curtis ; Daily, Matthew ; Brandt, G Mirek ; Johnson, Marshall C ; Bowman, Mark ; Daniel-Rolf Harbeck</creator><creatorcontrib>McCully, Curtis ; Daily, Matthew ; Brandt, G Mirek ; Johnson, Marshall C ; Bowman, Mark ; Daniel-Rolf Harbeck</creatorcontrib><description>Time domain astronomy has both increased the data volume and the urgency of data reduction in recent years. Spectra provide key insights into astrophysical phenomena but require complex reductions. Las Cumbres Observatory has six spectrographs: two low-dispersion FLOYDS instruments and four NRES high-resolution echelle spectrographs. We present an extension of the data reduction framework, BANZAI, to process spectra automatically, with no human interaction. We also present interactive tools we have developed for human vetting and improvement of the spectroscopic reduction. Tools like those presented here are essential to maximize the scientific yield from current and future time domain astronomy.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.2212.11381</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Astronomical instruments ; Astronomy ; Data reduction ; Physics - Instrumentation and Methods for Astrophysics ; Spectra ; Spectrographs ; Spectroscopy ; Time domain analysis</subject><ispartof>arXiv.org, 2022-12</ispartof><rights>2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,780,881,27902</link.rule.ids><backlink>$$Uhttps://doi.org/10.48550/arXiv.2212.11381$$DView paper in arXiv$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.1117/12.2630667$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink></links><search><creatorcontrib>McCully, Curtis</creatorcontrib><creatorcontrib>Daily, Matthew</creatorcontrib><creatorcontrib>Brandt, G Mirek</creatorcontrib><creatorcontrib>Johnson, Marshall C</creatorcontrib><creatorcontrib>Bowman, Mark</creatorcontrib><creatorcontrib>Daniel-Rolf Harbeck</creatorcontrib><title>Automatic Spectroscopic Data Reduction using BANZAI</title><title>arXiv.org</title><description>Time domain astronomy has both increased the data volume and the urgency of data reduction in recent years. Spectra provide key insights into astrophysical phenomena but require complex reductions. Las Cumbres Observatory has six spectrographs: two low-dispersion FLOYDS instruments and four NRES high-resolution echelle spectrographs. We present an extension of the data reduction framework, BANZAI, to process spectra automatically, with no human interaction. We also present interactive tools we have developed for human vetting and improvement of the spectroscopic reduction. Tools like those presented here are essential to maximize the scientific yield from current and future time domain astronomy.</description><subject>Astronomical instruments</subject><subject>Astronomy</subject><subject>Data reduction</subject><subject>Physics - Instrumentation and Methods for Astrophysics</subject><subject>Spectra</subject><subject>Spectrographs</subject><subject>Spectroscopy</subject><subject>Time domain analysis</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>GOX</sourceid><recordid>eNotj01Lw0AYhBdBsNT-AE8GPCfuvvvZY6xfhaKgPXkJ724SSbHZuLsR_ffG1tMwzDDMQ8gFo4UwUtJrDN_dVwHAoGCMG3ZCZsA5y40AOCOLGHeUUlAapOQzwssx-T2mzmWvQ-NS8NH5YXK3mDB7aerRpc732Ri7_j27KZ_eyvU5OW3xIzaLf52T7f3ddvWYb54f1qtyk6MEldcUWrtEkNSBpQIp0haNErB00hnBGwpojNWs1RqU4NyCqq01oKbUccHn5PI4eyCqhtDtMfxUf2TVgWxqXB0bQ_CfYxNTtfNj6KdPFWipAQwziv8CWXhOwA</recordid><startdate>20221221</startdate><enddate>20221221</enddate><creator>McCully, Curtis</creator><creator>Daily, Matthew</creator><creator>Brandt, G Mirek</creator><creator>Johnson, Marshall C</creator><creator>Bowman, Mark</creator><creator>Daniel-Rolf Harbeck</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>GOX</scope></search><sort><creationdate>20221221</creationdate><title>Automatic Spectroscopic Data Reduction using BANZAI</title><author>McCully, Curtis ; Daily, Matthew ; Brandt, G Mirek ; Johnson, Marshall C ; Bowman, Mark ; Daniel-Rolf Harbeck</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a526-d02fb9a250c2b04a0a0fa86429c5c843e02a88b71f7726433b26dbb826c84c343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Astronomical instruments</topic><topic>Astronomy</topic><topic>Data reduction</topic><topic>Physics - Instrumentation and Methods for Astrophysics</topic><topic>Spectra</topic><topic>Spectrographs</topic><topic>Spectroscopy</topic><topic>Time domain analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>McCully, Curtis</creatorcontrib><creatorcontrib>Daily, Matthew</creatorcontrib><creatorcontrib>Brandt, G Mirek</creatorcontrib><creatorcontrib>Johnson, Marshall C</creatorcontrib><creatorcontrib>Bowman, Mark</creatorcontrib><creatorcontrib>Daniel-Rolf Harbeck</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McCully, Curtis</au><au>Daily, Matthew</au><au>Brandt, G Mirek</au><au>Johnson, Marshall C</au><au>Bowman, Mark</au><au>Daniel-Rolf Harbeck</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic Spectroscopic Data Reduction using BANZAI</atitle><jtitle>arXiv.org</jtitle><date>2022-12-21</date><risdate>2022</risdate><eissn>2331-8422</eissn><abstract>Time domain astronomy has both increased the data volume and the urgency of data reduction in recent years. Spectra provide key insights into astrophysical phenomena but require complex reductions. Las Cumbres Observatory has six spectrographs: two low-dispersion FLOYDS instruments and four NRES high-resolution echelle spectrographs. We present an extension of the data reduction framework, BANZAI, to process spectra automatically, with no human interaction. We also present interactive tools we have developed for human vetting and improvement of the spectroscopic reduction. Tools like those presented here are essential to maximize the scientific yield from current and future time domain astronomy.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.2212.11381</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | EISSN: 2331-8422 |
| ispartof | arXiv.org, 2022-12 |
| issn | 2331-8422 |
| language | eng |
| recordid | cdi_arxiv_primary_2212_11381 |
| source | arXiv.org; Free E- Journals |
| subjects | Astronomical instruments Astronomy Data reduction Physics - Instrumentation and Methods for Astrophysics Spectra Spectrographs Spectroscopy Time domain analysis |
| title | Automatic Spectroscopic Data Reduction using BANZAI |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T12%3A32%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_arxiv&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Automatic%20Spectroscopic%20Data%20Reduction%20using%20BANZAI&rft.jtitle=arXiv.org&rft.au=McCully,%20Curtis&rft.date=2022-12-21&rft.eissn=2331-8422&rft_id=info:doi/10.48550/arxiv.2212.11381&rft_dat=%3Cproquest_arxiv%3E2757228186%3C/proquest_arxiv%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2757228186&rft_id=info:pmid/&rfr_iscdi=true |