J/AJ/169/84 Line doublets in near-infrared sky emission spectra (Dauphin+, 2025)

Hydroxyl lines and moonlight: A high spectral resolution investigation of near-infrared skylines from Maunakea to guide near-infrared spectroscopic surveys. Dauphin F., Petric A., Artigau E., Stephens A.W., Cook N.J., Businger S., Flagey N., Marshall J., Ntampaka M., Ravindranath S., Rousseau-Nepton L. <Astron. J., 169, 84 (2025)> =2025AJ....169...84D 2025AJ....169...84D
ADC_Keywords: Spectra, infrared ; Spectroscopy; Keywords: Night sky brightness ; Time series analysis ; Calibration ; Infrared spectroscopy Abstract: Subtracting the changing sky contribution from the near-infrared (NIR) spectra of faint astronomical objects is challenging and crucial to a wide range of science cases such as estimating the velocity dispersions of dwarf galaxies, studying the gas dynamics in faint galaxies, measuring accurate redshifts, and any spectroscopic study of faint targets. Since the sky background varies with time and location, NIR spectral observations, especially those employing fiber spectrometers and targeting extended sources, require frequent sky-only observations for calibration. However, sky subtraction can be optimized with sufficient a priori knowledge of the sky's variability. In this work, we explore how to optimize sky subtraction by analyzing 1075 high-resolution NIR spectra from the Canada-France-Hawaii Telescope's SPIRou on Maunakea, and we estimate the variability of 481 hydroxyl (OH) lines. These spectra were collected during two sets of three nights dedicated to obtaining sky observations every 5.5min. During the first set, we observed how the Moon affects the NIR, which has not been accurately measured at these wavelengths. We suggest accounting for the Moon contribution at separation distances less than 10° when (1) reconstructing the sky using principal component analysis, (2) observing targets at YJHK magnitudes fainter than ∼15, and (3) attempting a sky subtraction better than 1%. We also identified 126 spectral doublets, or OH lines that split into at least two components, at SPIRou's resolution. In addition, we used Lomb-Scargle periodograms and Gaussian process regression to estimate that most OH lines vary on similar timescales, which provides a valuable input for IR spectroscopic survey strategies. The data (https://zenodo.org/records/13363061) and code (https://github.com/FDauphin/spirou-sky-subtraction) developed for this study are publicly available. Description: The spectra used for our investigation were obtained with SPIRou (SPectropolarimetre InfraROUge), a high spectral resolution (R∼75,000) NIR spectrograph at the 3.6m Canada-France-Hawaii Telescope (CFHT) on Maunakea. We collected 1075 sky observations, which spanned from 2018 July 28 to 2022 January 10, or approximately 3.5yr. The observations were also unevenly spaced, ranging from 1min to 12 weeks between observations. In 2019 December and 2020 January, observations included two sets of 3 days dedicated to sky measurement where each day, a sky spectrum was observed approximately every 5.5min for 12hr. Due to technical issue, all sky observations during those nights where taken at zenith. These days occurred on 2019 December 14, 15, and 16 and 2020 January 22, 23, and 25. We refer to the first three days as Event 1 and the last three days as Event 2. Event 1 contained 348 spectra (32% of the 1075 observations) and Event 2 contained 372 spectra (35% of the 1075 observations). Event 1 was split between (89.925°, 170.269°) and (89.925°, 179.973°), while Event 2 was only observed at (89.925°, 170.286°). The wavelength range of the spectra was 0.965-2.500um containing 285,377 wavelength bins resampled on a uniform wavelength grid with a step of 1km/s/pixel. All observations were affected by a steep blackbody curve starting at 2.1um, which was caused by thermal emission. The exposure times were 300.884s for both Events 1 and 2. Although the airglow intensity depends on the zenith angle, we ignored correcting for the zenith since there was minimal angle variation for Events 1 and 2. File Summary: -------------------------------------------------------------------------------- FileName Lrecl Records Explanations -------------------------------------------------------------------------------- ReadMe 80 . This file tablea1.dat 48 372 Doublet Candidates -------------------------------------------------------------------------------- See also: J/A+A/549/A8 : Atmospheric extinction properties above Mauna Kea (Buton+, 2013) J/A+A/555/A78 : High-resolution IR airglow spectrum (Oliva+, 2013) J/A+A/568/A9 : 300-2500nm flux calibration reference spectra (Moehler+, 2014) J/A+A/581/A47 : Lines and continuum sky emission in the NIR (Oliva+, 2015) J/A+A/648/A48 : SPIRou wavelength calibration (Hobson+, 2021) Byte-by-byte Description of file: tablea1.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations -------------------------------------------------------------------------------- 1- 14 A14 --- Trans Transition (1) 16- 24 F9.3 0.1nm mu0 [9975.0/22516.8] Initial Guess at line center 26- 34 F9.3 0.1nm mu1 [9974.2/22513.8] Best Fit line center, closest local maxima 36- 44 F9.3 0.1nm mu2 [9975.0/22516.8] Best Fit line center, next highest local max 46- 48 A3 --- Doublet Yes/No flag noting if the line was identified as a doublet (2) -------------------------------------------------------------------------------- Note (1): The transition from Oliva+2015a (J/A+A/581/A47) and Rousselot+ (2000A&A...354.1134R 2000A&A...354.1134R) Note (2): Occurrences as follows: Yes = 107 occurrences No = 265 occurrences -------------------------------------------------------------------------------- History: From electronic version of the journal
(End) Prepared by [AAS], Robin Leichtnam [CDS] 21-Nov-2025
The document above follows the rules of the Standard Description for Astronomical Catalogues; from this documentation it is possible to generate f77 program to load files into arrays or line by line