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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - A new algorithm for optimizing the wavelength coverage for spectroscopic studies
T2 - Spectral Wavelength Optimization Code (swoc)
AU - Ruchti, G. R.
AU - Feltzing, S.
AU - Lind, K.
AU - Caffau, E.
AU - Korn, A. J.
AU - Schnurr, O.
AU - Hansen, C. J.
AU - Koch, A.
AU - Sbordone, L.
AU - De jong, R. S.
N1 - © 2016 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society
PY - 2016/9/11
Y1 - 2016/9/11
N2 - The past decade and a half has seen the design and execution of several ground-based spectroscopic surveys, both Galactic and Extra-galactic. Additionally, new surveys are being designed that extend the boundaries of current surveys. In this context, many important considerations must be done when designing a spectrograph for the future. Among these is the determination of the optimum wavelength coverage. In this work, we present a new code for determining the wavelength ranges that provide the optimal amount of information to achieve the required science goals for a given survey. In its first mode, it utilizes a user-defined list of spectral features to compute a figure-of-merit for different spectral configurations. The second mode utilizes a set of flux-calibrated spectra, determining the spectral regions that show the largest differences among the spectra. Our algorithm is easily adaptable for any set of science requirements and any spectrograph design. We apply the algorithm to several examples, including 4MOST, showing the method yields important design constraints to the wavelength regions.
AB - The past decade and a half has seen the design and execution of several ground-based spectroscopic surveys, both Galactic and Extra-galactic. Additionally, new surveys are being designed that extend the boundaries of current surveys. In this context, many important considerations must be done when designing a spectrograph for the future. Among these is the determination of the optimum wavelength coverage. In this work, we present a new code for determining the wavelength ranges that provide the optimal amount of information to achieve the required science goals for a given survey. In its first mode, it utilizes a user-defined list of spectral features to compute a figure-of-merit for different spectral configurations. The second mode utilizes a set of flux-calibrated spectra, determining the spectral regions that show the largest differences among the spectra. Our algorithm is easily adaptable for any set of science requirements and any spectrograph design. We apply the algorithm to several examples, including 4MOST, showing the method yields important design constraints to the wavelength regions.
KW - instrumentation: spectrographs
KW - techniques: spectroscopic
KW - surveys
KW - stars: abundances
KW - stars: fundamental parameters
U2 - 10.1093/mnras/stw1351
DO - 10.1093/mnras/stw1351
M3 - Journal article
VL - 461
SP - 2174
EP - 2191
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
SN - 0035-8711
IS - 2
ER -