2017
DOI: 10.3847/1538-4365/aa6fed
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An Application of Multi-band Forced Photometry to One Square Degree of SERVS: Accurate Photometric Redshifts and Implications for Future Science

Abstract: We apply The Tractor image modeling code to improve upon existing multi-band photometry for the Spitzer Extragalactic Representative Volume Survey (SERVS). SERVS consists of post-cryogenic Spitzer observations at 3.6 and 4.5 μm over five well-studied deep fields spanning 18 deg 2 . In concert with data from ground-based near-infrared (NIR) and optical surveys, SERVS aims to provide a census of the properties of massive galaxies out to z≈5. To accomplish this, we are using The Tractor to perform "forced photo… Show more

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Cited by 33 publications
(53 citation statements)
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“…HST limit is taken from Calanog et al (2014). Upper limits from Spitzer/IRAC and MIPS observations are the survey depths of SWIRE and SERVS (Lonsdale et al 2003;Nyland et al 2017). Herschel/PACS limit at 100 µm is obtained from Level 5 observations of the XMM-VIDEO3 field (Oliver et al 2012).…”
Section: Sma 870 µMmentioning
confidence: 99%
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“…HST limit is taken from Calanog et al (2014). Upper limits from Spitzer/IRAC and MIPS observations are the survey depths of SWIRE and SERVS (Lonsdale et al 2003;Nyland et al 2017). Herschel/PACS limit at 100 µm is obtained from Level 5 observations of the XMM-VIDEO3 field (Oliver et al 2012).…”
Section: Sma 870 µMmentioning
confidence: 99%
“…In the post-cryogenic period of Spitzer, more sensitive continuum images at 3.6 and 4.5 µm were obtained in the deeper Spitzer Extragalactic Representative Volume Survey (SERVS), which reaches 5σ limits of 1.25 µJy (Mauduit et al 2012;Nyland et al 2017). For the two SWIRE images observed at longer wavelengths (IRAC 5.8 and 8.0 µm), we perform aperture photometry to extract the fluxes of HXMM05 at the centroid position determined from the SMA 870 µm map.…”
Section: Sma 870 µMmentioning
confidence: 99%
“…The Tractor provides a convenient method of fitting modelbased galaxy photometry without the need to re-sample images with widely differing pixel scales (Nyland et al 2017). Sources in the Gemini data were fit either as point sources, or if resolved, with either exponential disk or de Vaucouleurs profiles (only a handful of the galaxies had high enough signal-to-noise ratios to reliably justify fitting a Sérsic profile using the Tractor, so we did not perform fits to Sérsic profiles).…”
Section: Optical To Near-infrared Photometrymentioning
confidence: 99%
“…The final photometry is given in Table 5. Further details on our implementation of the Tractor image modeling code may be found in Nyland et al (2017).…”
Section: Optical To Near-infrared Photometrymentioning
confidence: 99%
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