Optimal Stellar Photometry for Multi-conjugate Adaptive Optics Systems Using Science-based Metrics
We present a detailed discussion of how to obtain precise stellar photometry in crowded fields using images from multi-conjugate adaptive optics (MCAO) systems, with the intent of informing the scientific development of this key technology for the Extremely Large Telescopes. We use deep J and Ks exp...
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description | We present a detailed discussion of how to obtain precise stellar photometry in crowded fields using images from multi-conjugate adaptive optics (MCAO) systems, with the intent of informing the scientific development of this key technology for the Extremely Large Telescopes. We use deep J and Ks exposures of NGC 1851 taken with the Gemini Multi-Conjugate Adaptive Optics System (GeMS) on Gemini South to quantify the performance of the instrument and to develop an optimal strategy for stellar photometry using point-spread function (PSF)-fitting techniques. We judge the success of the various methods we employ by using science-based metrics, particularly the width of the main sequence turnoff region. We also compare the GeMS photometry with the exquisite HST data in the visible of the same target. We show that the PSF produced by GeMS possesses significant spatial and temporal variability that must be accounted for during the analysis. We show that the majority of the variation of the PSF occurs within the "control radius" of the MCAO system and that the best photometry is obtained when the PSF radius is chosen to closely match this spatial scale. We identify photometric calibration as a critical issue for next-generation MCAO systems such as those on the Thirty Meter Telescope and European Extremely Large Telescope. Our final CMDs reach Ks ∼ 22-below the main sequence knee-making it one of the deepest for a globular cluster available from the ground. Theoretical isochrones are in remarkable agreement with the stellar locus in our data from below the main sequence knee to the upper red giant branch. |
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W. ; Stetson, P. B. ; Fiorentino, G. ; Andersen, D. R. ; Bono, G. ; Massari, D. ; Véran, J.-P.</creator><creatorcontrib>Turri, P. ; McConnachie, A. W. ; Stetson, P. B. ; Fiorentino, G. ; Andersen, D. R. ; Bono, G. ; Massari, D. ; Véran, J.-P.</creatorcontrib><description>We present a detailed discussion of how to obtain precise stellar photometry in crowded fields using images from multi-conjugate adaptive optics (MCAO) systems, with the intent of informing the scientific development of this key technology for the Extremely Large Telescopes. We use deep J and Ks exposures of NGC 1851 taken with the Gemini Multi-Conjugate Adaptive Optics System (GeMS) on Gemini South to quantify the performance of the instrument and to develop an optimal strategy for stellar photometry using point-spread function (PSF)-fitting techniques. We judge the success of the various methods we employ by using science-based metrics, particularly the width of the main sequence turnoff region. We also compare the GeMS photometry with the exquisite HST data in the visible of the same target. We show that the PSF produced by GeMS possesses significant spatial and temporal variability that must be accounted for during the analysis. We show that the majority of the variation of the PSF occurs within the "control radius" of the MCAO system and that the best photometry is obtained when the PSF radius is chosen to closely match this spatial scale. We identify photometric calibration as a critical issue for next-generation MCAO systems such as those on the Thirty Meter Telescope and European Extremely Large Telescope. Our final CMDs reach Ks ∼ 22-below the main sequence knee-making it one of the deepest for a globular cluster available from the ground. Theoretical isochrones are in remarkable agreement with the stellar locus in our data from below the main sequence knee to the upper red giant branch.</description><identifier>ISSN: 0004-6256</identifier><identifier>EISSN: 1538-3881</identifier><identifier>DOI: 10.3847/1538-3881/aa63ed</identifier><language>eng</language><publisher>The American Astronomical Society</publisher><subject>Extremely large telescopes ; Gems ; globular clusters: individual (NGC 1851) ; Grounds ; instrumentation: adaptive optics ; Meters ; Multi-conjugate adaptive optics ; Optimization ; Photometry ; techniques: photometric</subject><ispartof>The Astronomical journal, 2017-04, Vol.153 (4), p.199-199</ispartof><rights>2017. The American Astronomical Society. 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We use deep J and Ks exposures of NGC 1851 taken with the Gemini Multi-Conjugate Adaptive Optics System (GeMS) on Gemini South to quantify the performance of the instrument and to develop an optimal strategy for stellar photometry using point-spread function (PSF)-fitting techniques. We judge the success of the various methods we employ by using science-based metrics, particularly the width of the main sequence turnoff region. We also compare the GeMS photometry with the exquisite HST data in the visible of the same target. We show that the PSF produced by GeMS possesses significant spatial and temporal variability that must be accounted for during the analysis. We show that the majority of the variation of the PSF occurs within the "control radius" of the MCAO system and that the best photometry is obtained when the PSF radius is chosen to closely match this spatial scale. We identify photometric calibration as a critical issue for next-generation MCAO systems such as those on the Thirty Meter Telescope and European Extremely Large Telescope. Our final CMDs reach Ks ∼ 22-below the main sequence knee-making it one of the deepest for a globular cluster available from the ground. Theoretical isochrones are in remarkable agreement with the stellar locus in our data from below the main sequence knee to the upper red giant branch.</description><subject>Extremely large telescopes</subject><subject>Gems</subject><subject>globular clusters: individual (NGC 1851)</subject><subject>Grounds</subject><subject>instrumentation: adaptive optics</subject><subject>Meters</subject><subject>Multi-conjugate adaptive optics</subject><subject>Optimization</subject><subject>Photometry</subject><subject>techniques: photometric</subject><issn>0004-6256</issn><issn>1538-3881</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqNkM1LwzAYh4MoOKd3jzl48GBd0qZJehzDL9iYsHkOWT5mS9vUJBX239sy8STi6YWX5_fjfR8ArjG6zzhhM5xnPMk4xzMpaWb0CZj8rE7BBCFEEprm9BxchFAhhDFHZAJ26y6WjazhJpq6lh6-vrvoGhP9AVrn4aqvY5ko11b9XkYD51oOgU8Dx5wKcHMI0TQBvoWy3cONKk2rTLKTwWi4GloG5hKcWVkHc_U9p2D7-LBdPCfL9dPLYr5MFMEsJqrIsZU7ntodUjrTJNW5VUQbSmRB04wyyTG3KOWIa5ZSzKlSLKfWMKaQzKbg9ljbeffRmxBFUwY1PtUa1weBC0TSNC9y9h8UM8I5zQcUHVHlXQjeWNH5wZc_CIzEKF6MlsVoWRzFD5G7Y6R0nahc79vh67_wm19wWY2kIMMthei0zb4AUZqR3g</recordid><startdate>20170401</startdate><enddate>20170401</enddate><creator>Turri, P.</creator><creator>McConnachie, A. 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We identify photometric calibration as a critical issue for next-generation MCAO systems such as those on the Thirty Meter Telescope and European Extremely Large Telescope. Our final CMDs reach Ks ∼ 22-below the main sequence knee-making it one of the deepest for a globular cluster available from the ground. Theoretical isochrones are in remarkable agreement with the stellar locus in our data from below the main sequence knee to the upper red giant branch.</abstract><pub>The American Astronomical Society</pub><doi>10.3847/1538-3881/aa63ed</doi><tpages>24</tpages><orcidid>https://orcid.org/0000-0002-4896-8841</orcidid><orcidid>https://orcid.org/0000-0003-0376-6928</orcidid><orcidid>https://orcid.org/0000-0001-8892-4301</orcidid><orcidid>https://orcid.org/0000-0002-6451-6239</orcidid><orcidid>https://orcid.org/0000-0001-6074-6830</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Extremely large telescopes Gems globular clusters: individual (NGC 1851) Grounds instrumentation: adaptive optics Meters Multi-conjugate adaptive optics Optimization Photometry techniques: photometric |
title | Optimal Stellar Photometry for Multi-conjugate Adaptive Optics Systems Using Science-based Metrics |
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