Target Selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE)
The Apache Point Observatory Galactic Evolution Experiment (APOGEE) is a high-resolution infrared spectroscopic survey spanning all Galactic environments (i.e., bulge, disk, and halo), with the principal goal of constraining dynamical and chemical evolution models of the Milky Way. APOGEE takes adva...
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creator | Zasowski, G Johnson, Jennifer A Frinchaboy, P M Majewski, S R Nidever, D L Rocha Pinto, H J Girardi, L Andrews, B Chojnowski, S D Cudworth, K M Jackson, K Munn, J Skrutskie, M F Beaton, R L Blake, C H Covey, K Deshpande, R Epstein, C Fabbian, D Fleming, S W A Garcia Hernandez Herrero, A Mahadevan, S Meszaros, Sz Schultheis, M Sellgren, K Terrien, R J van Saders C Allende Prieto Bizyaev, D Burton, A Cunha, K da Costa, L N Hasselquist, S Hearty, F Holtzman, J Garcia Perez, A E Maia, M A G O'Connell, R W O'Donnell, C Pinsonneault, M Santiago, B X Schiavon, R P Shetrone, M Smith, V Wilson, J C |
description | The Apache Point Observatory Galactic Evolution Experiment (APOGEE) is a high-resolution infrared spectroscopic survey spanning all Galactic environments (i.e., bulge, disk, and halo), with the principal goal of constraining dynamical and chemical evolution models of the Milky Way. APOGEE takes advantage of the reduced effects of extinction at infrared wavelengths to observe the inner Galaxy and bulge at an unprecedented level of detail. The survey's broad spatial and wavelength coverage enables users of APOGEE data to address numerous Galactic structure and stellar populations issues. In this paper we describe the APOGEE targeting scheme and document its various target classes to provide the necessary background and reference information to analyze samples of APOGEE data with awareness of the imposed selection criteria and resulting sample properties. APOGEE's primary sample consists of ~100,000 red giant stars, selected to minimize observational biases in age and metallicity. We present the methodology and considerations that drive the selection of this sample and evaluate the accuracy, efficiency, and caveats of the selection and sampling algorithms. We also describe additional target classes that contribute to the APOGEE sample, including numerous ancillary science programs, and we outline the targeting data that will be included in the public data releases. |
doi_str_mv | 10.48550/arxiv.1308.0351 |
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APOGEE takes advantage of the reduced effects of extinction at infrared wavelengths to observe the inner Galaxy and bulge at an unprecedented level of detail. The survey's broad spatial and wavelength coverage enables users of APOGEE data to address numerous Galactic structure and stellar populations issues. In this paper we describe the APOGEE targeting scheme and document its various target classes to provide the necessary background and reference information to analyze samples of APOGEE data with awareness of the imposed selection criteria and resulting sample properties. APOGEE's primary sample consists of ~100,000 red giant stars, selected to minimize observational biases in age and metallicity. We present the methodology and considerations that drive the selection of this sample and evaluate the accuracy, efficiency, and caveats of the selection and sampling algorithms. We also describe additional target classes that contribute to the APOGEE sample, including numerous ancillary science programs, and we outline the targeting data that will be included in the public data releases.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.1308.0351</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Algorithms ; Chemical evolution ; Galactic evolution ; Galactic structure ; Metallicity ; Milky Way Galaxy ; Observatories ; Organic chemistry ; Physics - Astrophysics of Galaxies ; Red giant stars ; Star & galaxy formation ; Stellar age ; Stellar populations</subject><ispartof>arXiv.org, 2013-08</ispartof><rights>2013. 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/10.1088/0004-6256/146/4/81$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.48550/arXiv.1308.0351$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Zasowski, G</creatorcontrib><creatorcontrib>Johnson, Jennifer A</creatorcontrib><creatorcontrib>Frinchaboy, P M</creatorcontrib><creatorcontrib>Majewski, S R</creatorcontrib><creatorcontrib>Nidever, D L</creatorcontrib><creatorcontrib>Rocha Pinto, H J</creatorcontrib><creatorcontrib>Girardi, L</creatorcontrib><creatorcontrib>Andrews, B</creatorcontrib><creatorcontrib>Chojnowski, S D</creatorcontrib><creatorcontrib>Cudworth, K M</creatorcontrib><creatorcontrib>Jackson, K</creatorcontrib><creatorcontrib>Munn, J</creatorcontrib><creatorcontrib>Skrutskie, M F</creatorcontrib><creatorcontrib>Beaton, R L</creatorcontrib><creatorcontrib>Blake, C H</creatorcontrib><creatorcontrib>Covey, K</creatorcontrib><creatorcontrib>Deshpande, R</creatorcontrib><creatorcontrib>Epstein, C</creatorcontrib><creatorcontrib>Fabbian, D</creatorcontrib><creatorcontrib>Fleming, S W</creatorcontrib><creatorcontrib>A Garcia Hernandez</creatorcontrib><creatorcontrib>Herrero, A</creatorcontrib><creatorcontrib>Mahadevan, S</creatorcontrib><creatorcontrib>Meszaros, Sz</creatorcontrib><creatorcontrib>Schultheis, M</creatorcontrib><creatorcontrib>Sellgren, K</creatorcontrib><creatorcontrib>Terrien, R</creatorcontrib><creatorcontrib>J van Saders</creatorcontrib><creatorcontrib>C Allende Prieto</creatorcontrib><creatorcontrib>Bizyaev, D</creatorcontrib><creatorcontrib>Burton, A</creatorcontrib><creatorcontrib>Cunha, K</creatorcontrib><creatorcontrib>da Costa, L N</creatorcontrib><creatorcontrib>Hasselquist, S</creatorcontrib><creatorcontrib>Hearty, F</creatorcontrib><creatorcontrib>Holtzman, J</creatorcontrib><creatorcontrib>Garcia Perez, A E</creatorcontrib><creatorcontrib>Maia, M A G</creatorcontrib><creatorcontrib>O'Connell, R W</creatorcontrib><creatorcontrib>O'Donnell, C</creatorcontrib><creatorcontrib>Pinsonneault, M</creatorcontrib><creatorcontrib>Santiago, B X</creatorcontrib><creatorcontrib>Schiavon, R P</creatorcontrib><creatorcontrib>Shetrone, M</creatorcontrib><creatorcontrib>Smith, V</creatorcontrib><creatorcontrib>Wilson, J C</creatorcontrib><title>Target Selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE)</title><title>arXiv.org</title><description>The Apache Point Observatory Galactic Evolution Experiment (APOGEE) is a high-resolution infrared spectroscopic survey spanning all Galactic environments (i.e., bulge, disk, and halo), with the principal goal of constraining dynamical and chemical evolution models of the Milky Way. 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We also describe additional target classes that contribute to the APOGEE sample, including numerous ancillary science programs, and we outline the targeting data that will be included in the public data releases.</description><subject>Algorithms</subject><subject>Chemical evolution</subject><subject>Galactic evolution</subject><subject>Galactic structure</subject><subject>Metallicity</subject><subject>Milky Way Galaxy</subject><subject>Observatories</subject><subject>Organic chemistry</subject><subject>Physics - Astrophysics of Galaxies</subject><subject>Red giant stars</subject><subject>Star & galaxy formation</subject><subject>Stellar age</subject><subject>Stellar populations</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>GOX</sourceid><recordid>eNotj8FrwjAYxcNgMHHedxqBXbZD3Zd8po1Hka4bCArzsFv5miZbpTNdWkX_e6vu9C6_93g_xh4EjCdaKXilcKj2Y4Ggx4BK3LCBRBSRnkh5x0ZtuwEAGSdSKRywrzWFb9vxT1tb01V-y50PvPuxfNaQ6WPlq23Hl0Vrw546H448o5p61PB07-vdpZMeGhuqX9uTz7PVMkvTl3t266hu7eg_h2z9lq7n79FimX3MZ4uIlIgjZXQiEicLANKFtdIQxHHiCKUpC3DgpqVJrDFTMIhogFBhAegkibg0Aofs8Tp7sc6b_gWFY362z8_2PfB0BZrg_3a27fKN34VtfymXoKXWUogYT6zuXM0</recordid><startdate>20130801</startdate><enddate>20130801</enddate><creator>Zasowski, G</creator><creator>Johnson, Jennifer A</creator><creator>Frinchaboy, P M</creator><creator>Majewski, S R</creator><creator>Nidever, D L</creator><creator>Rocha Pinto, H J</creator><creator>Girardi, L</creator><creator>Andrews, B</creator><creator>Chojnowski, S D</creator><creator>Cudworth, K M</creator><creator>Jackson, K</creator><creator>Munn, J</creator><creator>Skrutskie, M F</creator><creator>Beaton, R L</creator><creator>Blake, C H</creator><creator>Covey, K</creator><creator>Deshpande, R</creator><creator>Epstein, C</creator><creator>Fabbian, D</creator><creator>Fleming, S W</creator><creator>A Garcia Hernandez</creator><creator>Herrero, A</creator><creator>Mahadevan, S</creator><creator>Meszaros, Sz</creator><creator>Schultheis, M</creator><creator>Sellgren, K</creator><creator>Terrien, R</creator><creator>J van Saders</creator><creator>C Allende Prieto</creator><creator>Bizyaev, D</creator><creator>Burton, A</creator><creator>Cunha, K</creator><creator>da Costa, L N</creator><creator>Hasselquist, S</creator><creator>Hearty, F</creator><creator>Holtzman, J</creator><creator>Garcia Perez, A E</creator><creator>Maia, M A G</creator><creator>O'Connell, R W</creator><creator>O'Donnell, C</creator><creator>Pinsonneault, M</creator><creator>Santiago, B X</creator><creator>Schiavon, R P</creator><creator>Shetrone, M</creator><creator>Smith, V</creator><creator>Wilson, J C</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>20130801</creationdate><title>Target Selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE)</title><author>Zasowski, G ; Johnson, Jennifer A ; Frinchaboy, P M ; Majewski, S R ; Nidever, D L ; Rocha Pinto, H J ; Girardi, L ; Andrews, B ; Chojnowski, S D ; Cudworth, K M ; Jackson, K ; Munn, J ; Skrutskie, M F ; Beaton, R L ; Blake, C H ; Covey, K ; Deshpande, R ; Epstein, C ; Fabbian, D ; Fleming, S W ; A Garcia Hernandez ; Herrero, A ; Mahadevan, S ; Meszaros, Sz ; Schultheis, M ; Sellgren, K ; Terrien, R ; J van Saders ; C Allende Prieto ; Bizyaev, D ; Burton, A ; Cunha, K ; da Costa, L N ; Hasselquist, S ; Hearty, F ; Holtzman, J ; Garcia Perez, A E ; Maia, M A G ; O'Connell, R W ; O'Donnell, C ; Pinsonneault, M ; Santiago, B X ; Schiavon, R P ; Shetrone, M ; Smith, V ; Wilson, J C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a516-5c8717f2b00a8bee2ca0667fa32cdb0f0f9dc7ecc90c333c0a353b03f2a16dc13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Chemical evolution</topic><topic>Galactic evolution</topic><topic>Galactic structure</topic><topic>Metallicity</topic><topic>Milky Way Galaxy</topic><topic>Observatories</topic><topic>Organic chemistry</topic><topic>Physics - 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APOGEE takes advantage of the reduced effects of extinction at infrared wavelengths to observe the inner Galaxy and bulge at an unprecedented level of detail. The survey's broad spatial and wavelength coverage enables users of APOGEE data to address numerous Galactic structure and stellar populations issues. In this paper we describe the APOGEE targeting scheme and document its various target classes to provide the necessary background and reference information to analyze samples of APOGEE data with awareness of the imposed selection criteria and resulting sample properties. APOGEE's primary sample consists of ~100,000 red giant stars, selected to minimize observational biases in age and metallicity. We present the methodology and considerations that drive the selection of this sample and evaluate the accuracy, efficiency, and caveats of the selection and sampling algorithms. We also describe additional target classes that contribute to the APOGEE sample, including numerous ancillary science programs, and we outline the targeting data that will be included in the public data releases.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.1308.0351</doi><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Chemical evolution Galactic evolution Galactic structure Metallicity Milky Way Galaxy Observatories Organic chemistry Physics - Astrophysics of Galaxies Red giant stars Star & galaxy formation Stellar age Stellar populations |
title | Target Selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE) |
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