2017
DOI: 10.1093/mnras/stx2513
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A SITELLE view of M31’s central region – I. Calibrations and radial velocity catalogue of nearly 800 emission-line point-like sources

Abstract: We present a detailed description of the wavelength, astrometric and photometric calibration plan for SITELLE, the imaging Fourier transform spectrometer attached to the Canada-France-Hawaii telescope, based on observations of a red (647 -685 nm) data cube of the central region (11 × 11 ) of M 31. The first application, presented in this paper, is a radial-velocity catalogue (with uncertainties of ∼ 2 − 6 km/s) of nearly 800 emission-line point-like sources, including ∼ 450 new discoveries. Most of the sources… Show more

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Cited by 30 publications
(40 citation statements)
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“…The uncertainty on the measurements depends on the SNR and the proper selection of the line model (sinc or sinc+Gaussian) and the set of lines to be fitted for each pixel (all lines must be fitted simultaneously, and if multiple components are present, they must be fitted simultaneously as well). As also described in Martin et al (2018), the precision on the velocity obtained over the planetary nebulae in M31 ranged from 2 to 6 km s −1 for sources of surface brightness much lower than what is expected for most H II regions.…”
Section: Data Reduction and Calibrationsmentioning
confidence: 69%
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“…The uncertainty on the measurements depends on the SNR and the proper selection of the line model (sinc or sinc+Gaussian) and the set of lines to be fitted for each pixel (all lines must be fitted simultaneously, and if multiple components are present, they must be fitted simultaneously as well). As also described in Martin et al (2018), the precision on the velocity obtained over the planetary nebulae in M31 ranged from 2 to 6 km s −1 for sources of surface brightness much lower than what is expected for most H II regions.…”
Section: Data Reduction and Calibrationsmentioning
confidence: 69%
“…As they come out of the reduction pipeline, datacubes have a pixel-to-pixel velocity error estimated to be of the order of 0.1 km s −1 at R = 5000. Additional correction is applied to the absolute wavelength calibration using the skylines centroid map as described in Martin et al (2018) resulting in an accuracy of ∼1 km s −1 on the measured relative velocities across the FOV (see appendix B of Martin et al 2016 for details).…”
Section: Data Reduction and Calibrationsmentioning
confidence: 99%
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“…Given the size of the spectral datacubes (up to 34 Go), the unusual instrumental line shape (ILS), and the very large number of spectra to analyze, a specific data analysis library (ORCS) has been developed to help the user to handle SITELLE's datacube. Different tools are proposed which have already been used for the analysis of different astrophysical objects (Shara et al 2017;Martin et al 2016Martin et al , 2018Gendron-Marsolais et al 2018;Rousseau-Nepton et al 2018); they include:…”
Section: Discussionmentioning
confidence: 99%
“…A typical example of the atmospheric transmission function measured during the acquisition of a datacube on the center of M31 observed through the SN3 filter is reproduced in Figure 5. This trans- Martin et al 2018). The computed transmission is normalized to its 99th percentile.…”
Section: Data Reductionmentioning
confidence: 99%