2022
DOI: 10.1093/mnras/stac1920
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Astro-photometric study of M37 with Gaia and wide-field ugi–imaging

Abstract: We present an astrometric and photometric wide-field study of the Galactic open star cluster M37 (NGC 2099). The studied field was observed with ground-based images covering a region of about four square degrees in the Sloan-like filters ugi. We exploited the Gaia catalogue to calibrate the geometric distortion of the large field mosaics, developing software routines that can be also applied to other wide-field instruments. The data are used to identify the hottest white dwarf (WD) member candidates of M37. Th… Show more

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Cited by 6 publications
(3 citation statements)
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“…We then applied a cut on the parallax (top right) and proper motions (bottom left) distributions. The red lines were defined by the 68.27th percentile of the residuals around their median value in each 1-mag bin, multiplied by a factor of 2 (as in Griggio et al 2022a ). The bottom right panel shows the spatial distribution of the selected members.…”
Section: T H E Gaia C O L O U R -M Ag N I T U D E D I Ag R a Mmentioning
confidence: 99%
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“…We then applied a cut on the parallax (top right) and proper motions (bottom left) distributions. The red lines were defined by the 68.27th percentile of the residuals around their median value in each 1-mag bin, multiplied by a factor of 2 (as in Griggio et al 2022a ). The bottom right panel shows the spatial distribution of the selected members.…”
Section: T H E Gaia C O L O U R -M Ag N I T U D E D I Ag R a Mmentioning
confidence: 99%
“…5 , where we used the u filter for the blue colour, g for the green, and i for the red colour. To measure position and flux of the sources in this data set, we followed the same approach as in Griggio et al ( 2022a ). Briefly, we first derived a grid of 9 × 9 empirical point spread functions (PSFs) for each image considering bright, isolated, and unsaturated sources, by using the software originally developed by Anderson et al ( 2006 ).…”
Section: Sloan O B S E Rvat I O N S a N D Data R E D U C T I O Nmentioning
confidence: 99%
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