A compendium of distances to molecular clouds in the Star Formation Handbook

Accurate distances to local molecular clouds are critical for understanding the star and planet formation process, yet distance measurements are often obtained inhomogeneously on a cloud-by-cloud basis. We have recently developed a method that combines stellar photometric data with Gaia DR2 parallax...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Astronomy and astrophysics (Berlin) 2020-01, Vol.633, p.A51
Hauptverfasser: Zucker, Catherine, Speagle, Joshua S., Schlafly, Edward F., Green, Gregory M., Finkbeiner, Douglas P., Goodman, Alyssa, Alves, João
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 A51
container_title Astronomy and astrophysics (Berlin)
container_volume 633
creator Zucker, Catherine
Speagle, Joshua S.
Schlafly, Edward F.
Green, Gregory M.
Finkbeiner, Douglas P.
Goodman, Alyssa
Alves, João
description Accurate distances to local molecular clouds are critical for understanding the star and planet formation process, yet distance measurements are often obtained inhomogeneously on a cloud-by-cloud basis. We have recently developed a method that combines stellar photometric data with Gaia DR2 parallax measurements in a Bayesian framework to infer the distances of nearby dust clouds to a typical accuracy of ∼5%. After refining the technique to target lower latitudes and incorporating deep optical data from DECam in the southern Galactic plane, we have derived a catalog of distances to molecular clouds in Reipurth (2008, Star Formation Handbook, Vols. I and II) which contains a large fraction of the molecular material in the solar neighborhood. Comparison with distances derived from maser parallax measurements towards the same clouds shows our method produces consistent distances with ≲10% scatter for clouds across our entire distance spectrum (150 pc−2.5 kpc). We hope this catalog of homogeneous distances will serve as a baseline for future work.
doi_str_mv 10.1051/0004-6361/201936145
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2486568467</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2486568467</sourcerecordid><originalsourceid>FETCH-LOGICAL-c388t-32b5f89cf6992ce5dbe335c2d60daebb8144dfe915fa631904aa3bfe991b8cc33</originalsourceid><addsrcrecordid>eNo9kM1KAzEYRYMoWKtP4Cbgemz-myxLsVYouFDXIb84dWZSk8zCt3dKS1eX73K4HxwAHjF6xojjBUKINYIKvCAIqykZvwIzzChp0JKJazC7ELfgrpT9dBIs6QzsVtCl_hAG3449TBH6tlQzuFBgTbBPXXBjZzJ0XRp9ge0A63eAH3WqNin3prZpgFszeJvSzz24iaYr4eGcc_C1eflcb5vd--vberVrHJWyNpRYHqVyUShFXODeBkq5I14gb4K1EjPmY1CYRyMoVogZQ-1UKGylc5TOwdNp95DT7xhK1fs05mF6qQmTggvJxHKi6IlyOZWSQ9SH3PYm_2mM9FGbPkrRRyn6oo3-A1hXX9c</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2486568467</pqid></control><display><type>article</type><title>A compendium of distances to molecular clouds in the Star Formation Handbook</title><source>Bacon EDP Sciences France Licence nationale-ISTEX-PS-Journals-PFISTEX</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>EDP Sciences</source><creator>Zucker, Catherine ; Speagle, Joshua S. ; Schlafly, Edward F. ; Green, Gregory M. ; Finkbeiner, Douglas P. ; Goodman, Alyssa ; Alves, João</creator><creatorcontrib>Zucker, Catherine ; Speagle, Joshua S. ; Schlafly, Edward F. ; Green, Gregory M. ; Finkbeiner, Douglas P. ; Goodman, Alyssa ; Alves, João</creatorcontrib><description>Accurate distances to local molecular clouds are critical for understanding the star and planet formation process, yet distance measurements are often obtained inhomogeneously on a cloud-by-cloud basis. We have recently developed a method that combines stellar photometric data with Gaia DR2 parallax measurements in a Bayesian framework to infer the distances of nearby dust clouds to a typical accuracy of ∼5%. After refining the technique to target lower latitudes and incorporating deep optical data from DECam in the southern Galactic plane, we have derived a catalog of distances to molecular clouds in Reipurth (2008, Star Formation Handbook, Vols. I and II) which contains a large fraction of the molecular material in the solar neighborhood. Comparison with distances derived from maser parallax measurements towards the same clouds shows our method produces consistent distances with ≲10% scatter for clouds across our entire distance spectrum (150 pc−2.5 kpc). We hope this catalog of homogeneous distances will serve as a baseline for future work.</description><identifier>ISSN: 0004-6361</identifier><identifier>EISSN: 1432-0746</identifier><identifier>DOI: 10.1051/0004-6361/201936145</identifier><language>eng</language><publisher>Heidelberg: EDP Sciences</publisher><subject>Distance measurement ; Handbooks ; Molecular clouds ; Parallax ; Planet formation ; Solar neighborhood ; Star &amp; galaxy formation ; Star formation</subject><ispartof>Astronomy and astrophysics (Berlin), 2020-01, Vol.633, p.A51</ispartof><rights>Copyright EDP Sciences Jan 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c388t-32b5f89cf6992ce5dbe335c2d60daebb8144dfe915fa631904aa3bfe991b8cc33</citedby><cites>FETCH-LOGICAL-c388t-32b5f89cf6992ce5dbe335c2d60daebb8144dfe915fa631904aa3bfe991b8cc33</cites><orcidid>0000-0002-3569-7421 ; 0000-0002-4355-0921 ; 0000-0003-2573-9832 ; 0000-0002-2250-730X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,3714,27905,27906</link.rule.ids></links><search><creatorcontrib>Zucker, Catherine</creatorcontrib><creatorcontrib>Speagle, Joshua S.</creatorcontrib><creatorcontrib>Schlafly, Edward F.</creatorcontrib><creatorcontrib>Green, Gregory M.</creatorcontrib><creatorcontrib>Finkbeiner, Douglas P.</creatorcontrib><creatorcontrib>Goodman, Alyssa</creatorcontrib><creatorcontrib>Alves, João</creatorcontrib><title>A compendium of distances to molecular clouds in the Star Formation Handbook</title><title>Astronomy and astrophysics (Berlin)</title><description>Accurate distances to local molecular clouds are critical for understanding the star and planet formation process, yet distance measurements are often obtained inhomogeneously on a cloud-by-cloud basis. We have recently developed a method that combines stellar photometric data with Gaia DR2 parallax measurements in a Bayesian framework to infer the distances of nearby dust clouds to a typical accuracy of ∼5%. After refining the technique to target lower latitudes and incorporating deep optical data from DECam in the southern Galactic plane, we have derived a catalog of distances to molecular clouds in Reipurth (2008, Star Formation Handbook, Vols. I and II) which contains a large fraction of the molecular material in the solar neighborhood. Comparison with distances derived from maser parallax measurements towards the same clouds shows our method produces consistent distances with ≲10% scatter for clouds across our entire distance spectrum (150 pc−2.5 kpc). We hope this catalog of homogeneous distances will serve as a baseline for future work.</description><subject>Distance measurement</subject><subject>Handbooks</subject><subject>Molecular clouds</subject><subject>Parallax</subject><subject>Planet formation</subject><subject>Solar neighborhood</subject><subject>Star &amp; galaxy formation</subject><subject>Star formation</subject><issn>0004-6361</issn><issn>1432-0746</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNo9kM1KAzEYRYMoWKtP4Cbgemz-myxLsVYouFDXIb84dWZSk8zCt3dKS1eX73K4HxwAHjF6xojjBUKINYIKvCAIqykZvwIzzChp0JKJazC7ELfgrpT9dBIs6QzsVtCl_hAG3449TBH6tlQzuFBgTbBPXXBjZzJ0XRp9ge0A63eAH3WqNin3prZpgFszeJvSzz24iaYr4eGcc_C1eflcb5vd--vberVrHJWyNpRYHqVyUShFXODeBkq5I14gb4K1EjPmY1CYRyMoVogZQ-1UKGylc5TOwdNp95DT7xhK1fs05mF6qQmTggvJxHKi6IlyOZWSQ9SH3PYm_2mM9FGbPkrRRyn6oo3-A1hXX9c</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Zucker, Catherine</creator><creator>Speagle, Joshua S.</creator><creator>Schlafly, Edward F.</creator><creator>Green, Gregory M.</creator><creator>Finkbeiner, Douglas P.</creator><creator>Goodman, Alyssa</creator><creator>Alves, João</creator><general>EDP Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-3569-7421</orcidid><orcidid>https://orcid.org/0000-0002-4355-0921</orcidid><orcidid>https://orcid.org/0000-0003-2573-9832</orcidid><orcidid>https://orcid.org/0000-0002-2250-730X</orcidid></search><sort><creationdate>20200101</creationdate><title>A compendium of distances to molecular clouds in the Star Formation Handbook</title><author>Zucker, Catherine ; Speagle, Joshua S. ; Schlafly, Edward F. ; Green, Gregory M. ; Finkbeiner, Douglas P. ; Goodman, Alyssa ; Alves, João</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c388t-32b5f89cf6992ce5dbe335c2d60daebb8144dfe915fa631904aa3bfe991b8cc33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Distance measurement</topic><topic>Handbooks</topic><topic>Molecular clouds</topic><topic>Parallax</topic><topic>Planet formation</topic><topic>Solar neighborhood</topic><topic>Star &amp; galaxy formation</topic><topic>Star formation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zucker, Catherine</creatorcontrib><creatorcontrib>Speagle, Joshua S.</creatorcontrib><creatorcontrib>Schlafly, Edward F.</creatorcontrib><creatorcontrib>Green, Gregory M.</creatorcontrib><creatorcontrib>Finkbeiner, Douglas P.</creatorcontrib><creatorcontrib>Goodman, Alyssa</creatorcontrib><creatorcontrib>Alves, João</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Astronomy and astrophysics (Berlin)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zucker, Catherine</au><au>Speagle, Joshua S.</au><au>Schlafly, Edward F.</au><au>Green, Gregory M.</au><au>Finkbeiner, Douglas P.</au><au>Goodman, Alyssa</au><au>Alves, João</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A compendium of distances to molecular clouds in the Star Formation Handbook</atitle><jtitle>Astronomy and astrophysics (Berlin)</jtitle><date>2020-01-01</date><risdate>2020</risdate><volume>633</volume><spage>A51</spage><pages>A51-</pages><issn>0004-6361</issn><eissn>1432-0746</eissn><abstract>Accurate distances to local molecular clouds are critical for understanding the star and planet formation process, yet distance measurements are often obtained inhomogeneously on a cloud-by-cloud basis. We have recently developed a method that combines stellar photometric data with Gaia DR2 parallax measurements in a Bayesian framework to infer the distances of nearby dust clouds to a typical accuracy of ∼5%. After refining the technique to target lower latitudes and incorporating deep optical data from DECam in the southern Galactic plane, we have derived a catalog of distances to molecular clouds in Reipurth (2008, Star Formation Handbook, Vols. I and II) which contains a large fraction of the molecular material in the solar neighborhood. Comparison with distances derived from maser parallax measurements towards the same clouds shows our method produces consistent distances with ≲10% scatter for clouds across our entire distance spectrum (150 pc−2.5 kpc). We hope this catalog of homogeneous distances will serve as a baseline for future work.</abstract><cop>Heidelberg</cop><pub>EDP Sciences</pub><doi>10.1051/0004-6361/201936145</doi><orcidid>https://orcid.org/0000-0002-3569-7421</orcidid><orcidid>https://orcid.org/0000-0002-4355-0921</orcidid><orcidid>https://orcid.org/0000-0003-2573-9832</orcidid><orcidid>https://orcid.org/0000-0002-2250-730X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0004-6361
ispartof Astronomy and astrophysics (Berlin), 2020-01, Vol.633, p.A51
issn 0004-6361
1432-0746
language eng
recordid cdi_proquest_journals_2486568467
source Bacon EDP Sciences France Licence nationale-ISTEX-PS-Journals-PFISTEX; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; EDP Sciences
subjects Distance measurement
Handbooks
Molecular clouds
Parallax
Planet formation
Solar neighborhood
Star & galaxy formation
Star formation
title A compendium of distances to molecular clouds in the Star Formation Handbook
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T02%3A15%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20compendium%20of%20distances%20to%20molecular%20clouds%20in%20the%20Star%20Formation%20Handbook&rft.jtitle=Astronomy%20and%20astrophysics%20(Berlin)&rft.au=Zucker,%20Catherine&rft.date=2020-01-01&rft.volume=633&rft.spage=A51&rft.pages=A51-&rft.issn=0004-6361&rft.eissn=1432-0746&rft_id=info:doi/10.1051/0004-6361/201936145&rft_dat=%3Cproquest_cross%3E2486568467%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2486568467&rft_id=info:pmid/&rfr_iscdi=true