Effective Temperature Estimations from Line Depth Ratios in the H- and K-band Spectra of IGRINS
dc.authorscopusid | 7006424994 | |
dc.authorscopusid | 6506724729 | |
dc.authorscopusid | 57188676976 | |
dc.authorscopusid | 57208203885 | |
dc.authorscopusid | 7006682086 | |
dc.authorscopusid | 16304062400 | |
dc.authorscopusid | 7102346782 | |
dc.contributor.author | Afşar, M. | |
dc.contributor.author | Bozkurt, Z. | |
dc.contributor.author | Topcu, G.B. | |
dc.contributor.author | Özdemir, S. | |
dc.contributor.author | Sneden, C. | |
dc.contributor.author | Mace, G.N. | |
dc.contributor.author | Jaffe, D.T. | |
dc.date.accessioned | 2024-08-25T18:31:34Z | |
dc.date.available | 2024-08-25T18:31:34Z | |
dc.date.issued | 2023 | |
dc.department | Ege Üniversitesi | en_US |
dc.description.abstract | Determining accurate effective temperatures of stars buried in the dust-obscured Galactic regions is extremely difficult from photometry. Fortunately, high-resolution infrared spectroscopy is a powerful tool for determining the temperatures of stars with no dependence on interstellar extinction. It has long been known that the depth ratios of temperature-sensitive and relatively insensitive spectral lines are excellent temperature indices. In this work, we provide the first extensive line depth ratio (LDR) method application in the infrared region that encompasses both the H and K bands (1.48 ?m ? 2.48 ?m). We applied the LDR method to high-resolution (R ? 45,000) H- and K-band spectra of 110 stars obtained with the Immersion Grating Infrared Spectrograph. Our sample contained stars with 3200 < T eff (K) < 5500, 0.20 ? log g < 4.6, and ?1.5 < [M/H] < 0.5. The application of this method in the K band yielded 21 new LDR-T eff relations. We also report five new LDR-T eff relations found in the H-band region, augmenting the relations already published by other groups. The temperatures found from our calibrations provide reliable temperatures within ?70 K accuracy compared to spectral T eff values from the literature. © 2023. The Author(s). Published by the American Astronomical Society. | en_US |
dc.description.sponsorship | National Science Foundation, NSF: AST-1616040, AST-1908892; National Aeronautics and Space Administration, NASA; University of Texas at Austin, UT; Mt. Cuba Astronomical Foundation: AST-1229522, AST-1702267; Diabetes Patient Advocacy Coalition, DPAC; European Space Agency, ESA; Consejo Nacional de Ciencia y Tecnología, CONACYT; Korea Astronomy and Space Science Institute, KASI; Narodowe Centrum Nauki, NCN: 2019/34/E/ST9/00133; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK: 119F076 | en_US |
dc.description.sponsorship | We thank our referee for helpful comments that improved this paper. Our work has been supported by The Scientific and Technological Research Council of Turkey (TÜBİTAK, project No. 119F076), by the US National Science Foundation grant AST-1616040, and by the University of Texas Rex G. Baker, Jr. Centennial Research Endowment. This work used the Immersion Grating Infrared Spectrometer (IGRINS) that was developed under a collaboration between the University of Texas at Austin and the Korea Astronomy and Space Science Institute (KASI) with the financial support of the Mt. Cuba Astronomical Foundation, of the US National Science Foundation under grants AST-1229522 and AST-1702267, of the McDonald Observatory of the University of Texas at Austin, of the Korean GMT Project of KASI, and of the Gemini Observatory. This material is based upon work supported by the National Science Foundation under grant No. AST-1908892 to G.M. R.L.V. acknowledges support from CONACYT through a postdoctoral fellowship within the program “Estancias Posdoctorales por México.” S.Ö. also acknowledges support by the National Science Centre, Poland, project 2019/34/E/ST9/00133. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/Gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/Gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This research has made use of the SIMBAD database, operated at CDS, Strasbourg, France. | en_US |
dc.description.sponsorship | We thank our referee for helpful comments that improved this paper. Our work has been supported by The Scientific and Technological Research Council of Turkey (TÜBİTAK, project No. 119F076), by the US National Science Foundation grant AST-1616040, and by the University of Texas Rex G. Baker, Jr. Centennial Research Endowment. This work used the Immersion Grating Infrared Spectrometer (IGRINS) that was developed under a collaboration between the University of Texas at Austin and the Korea Astronomy and Space Science Institute (KASI) with the financial support of the Mt. Cuba Astronomical Foundation, of the US National Science Foundation under grants AST-1229522 and AST-1702267, of the McDonald Observatory of the University of Texas at Austin, of the Korean GMT Project of KASI, and of the Gemini Observatory. This material is based upon work supported by the National Science Foundation under grant No. AST-1908892 to G.M. R.L.V. acknowledges support from CONACYT through a postdoctoral fellowship within the program “Estancias Posdoctorales por México.” S.Ö. also acknowledges support by the National Science Centre, Poland, project 2019/34/E/ST9/00133. This work has made use of data from the European Space Agency (ESA) mission Gaia ( https://www.cosmos.esa.int/Gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/Gaia/dpac/consortium ). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This research has made use of the SIMBAD database, operated at CDS, Strasbourg, France. | en_US |
dc.identifier.doi | 10.3847/1538-4357/acc946 | |
dc.identifier.issn | 0004-637X | |
dc.identifier.issue | 2 | en_US |
dc.identifier.scopus | 2-s2.0-85161280959 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org/10.3847/1538-4357/acc946 | |
dc.identifier.uri | https://hdl.handle.net/11454/99949 | |
dc.identifier.volume | 949 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Physics | en_US |
dc.relation.ispartof | Astrophysical Journal | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.snmz | 20240825_G | en_US |
dc.title | Effective Temperature Estimations from Line Depth Ratios in the H- and K-band Spectra of IGRINS | en_US |
dc.type | Article | en_US |