2017
DOI: 10.3847/1538-3881/aa63f1
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The M33 Synoptic Stellar Survey. II. Mira Variables

Abstract: We present the discovery of 1847 Mira candidates in the Local Group galaxy M33 using a novel semiparametric periodogram technique coupled with a Random Forest classifier. The algorithms were applied to ∼ 2.4 × 10 5 I-band light curves previously obtained by the M33 Synoptic Stellar Survey. We derive preliminary Period-Luminosity relations at optical, near-& mid-infrared wavelengths and compare them to the corresponding relations in the Large Magellanic Cloud.

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Cited by 31 publications
(50 citation statements)
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“…We based our study on NIR observations of M33 with: (1) the 3.8 m UK InfraRed Telescope (UKIRT, previously published by Javadi et al 2015), (2) the 4-m Mayall telescope at Kitt Peak National Observatory (KPNO, published here for the first time) and (3) the 8-m Gemini North telescope (also published here for the first time). We further make use of previously-published Iband time-series photometry obtained by the DIRECT project and follow-up observations Pellerin & Macri 2011), which were analyzed to search for Mira variables by Yuan et al (2017a). The sky coverage of the aforementioned NIR surveys are shown in Figure 1.…”
Section: Datamentioning
confidence: 99%
See 1 more Smart Citation
“…We based our study on NIR observations of M33 with: (1) the 3.8 m UK InfraRed Telescope (UKIRT, previously published by Javadi et al 2015), (2) the 4-m Mayall telescope at Kitt Peak National Observatory (KPNO, published here for the first time) and (3) the 8-m Gemini North telescope (also published here for the first time). We further make use of previously-published Iband time-series photometry obtained by the DIRECT project and follow-up observations Pellerin & Macri 2011), which were analyzed to search for Mira variables by Yuan et al (2017a). The sky coverage of the aforementioned NIR surveys are shown in Figure 1.…”
Section: Datamentioning
confidence: 99%
“…The sky coverage of the aforementioned NIR surveys are shown in Figure 1. We cross-matched stellar sources (including Mira candidates from Yuan et al 2017a) among these datasets by updating all their astrometry to a single reference frame (defined by the UKIRT catalog). In the rest of the section, we describe the observations, data reduction, photometry, and astrometric calibration for each dataset.…”
Section: Datamentioning
confidence: 99%
“…-The H0 with two anchors and the slope fit using F160W (−3.35) is our preferred value. The linear PLR for NGC 4258 for the gold sample of Miras from H18 with the F160W slope derived from the OGLE LMC O-rich Mira data (left) and the H -band slope fromYuan et al (2017a). H18 originally used only a quadratic PLR.…”
mentioning
confidence: 99%
“…10). [33], [34] and [35] Figure 9. Application of the Gaussian Process to model simulated Mira light curves that are noisy and sparsely sampled (left) and success in recovering the known periods of the variables used to generate the simulations (right).…”
Section: Miras: New Techniques and Prospects For Lsstmentioning
confidence: 99%
“…9). We applied the technique to I-band observations of M33 ( [37,38]) and discovered over 1800 Mira candidates in this galaxy ( [35]). We matched our optical catalog with NIR and MIR observations from [39,40] and obtained PLRs that compare favorably to their LMC counterparts (see Fig.…”
Section: Miras: New Techniques and Prospects For Lsstmentioning
confidence: 99%