2012
DOI: 10.1117/12.924878
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On-sky tests of sky-subtraction methods for fiber-fed spectrographs

Abstract: We present preliminary results on on-sky test of sky subtraction methods for fiber-fed spectrograph. Using dedicated observation with FLAMES/VLT in I-band, we have tested the accuracy of the sky subtraction for 4 sky subtraction methods: mean sky, closest sky, dual stare and cross-beam switching. The cross beam-switching and dual stare method reach accuracy and precision of the sky subtraction under 1%. In contrast to the commonly held view in the literature, this result points out that fiber-fed spectrographs… Show more

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Cited by 8 publications
(3 citation statements)
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“…Additionally, the exact multiplex in HMM-NIR is still to be confirmed. This depends on whether or not the fibres can be deployed independently or have to be paired at the hardware level so as to carry out cross-beam switching 12 to improve the sky subtraction accuracy. In the latter case the effective multiplex will reduce to 70.…”
Section: Updated Top-level Requirementsmentioning
confidence: 99%
“…Additionally, the exact multiplex in HMM-NIR is still to be confirmed. This depends on whether or not the fibres can be deployed independently or have to be paired at the hardware level so as to carry out cross-beam switching 12 to improve the sky subtraction accuracy. In the latter case the effective multiplex will reduce to 70.…”
Section: Updated Top-level Requirementsmentioning
confidence: 99%
“…28) and on spatial scales of arcminutes. 29 It is therefore necessary to obtain sky spectra at the same time as the target spectra.…”
Section: Considerations For Sky Subtractionmentioning
confidence: 99%
“…For the long-slit spectrographs, the sky can be derived by interpolating adjacent blank sky regions and subtracted from the target (Soto et al 2016). On the other hand, this method does not work well for the multi-fiber spectrographs, but considerable progress has been made in the last three decades to address sky subtractions, such as beam-switching (Barden et al 1993;Puech et al 2014;Rodrigues et al 2012), nod-and-shuffle (Glazebrook & Bland-Hawthorn 2001;Sharp & Parkinson 2010), and principal component analysis (PCA, Wild & Hewett 2005;Soto et al 2016).…”
Section: Introductionmentioning
confidence: 99%