How to Cite SIGNALS
We request that the following acknowledgement be included in any paper using data or software from the SIGNALS data releases:
This research was based on observations obtained at the CFHT, which is operated from the summit of Mauna Kea by the National Research Council of Canada, the Institut National des Sciences de l’Univers of the Centre National de la Recherche Scientifique of France, and the University of Hawaii. The authors wish to recognize and acknowledge the very significant cultural role that the summit of Mauna Kea has always had within the indigenous Hawaiian community. The authors are most grateful to have the opportunity to conduct observations from this mountain.
The observations were obtained with SITELLE, a joint project between Université Laval, ABB-Bomem, Université de Montréal, and the CFHT, with funding support from the Canada Foundation for Innovation (CFI), the National Sciences and Engineering Research Council of Canada (NSERC), Fonds de Recherche du Québec – Nature et Technologies (FRQNT), and CFHT.
The collaboration is grateful to the FRQNT, CFHT, the Canada Research Chair program, the National Science foundation NSF – 2109124, Natural Sciences and Engineering Research Council of Canada NSERC – RGPIN-2023-03487, the Swedish Research Council, the Swedish National Space Board, the Royal Society, and the Newton Fund via the award of a Royal Society-Newton Advanced Fellowship (NAF\R1\180403), FAPESC, CNPq, FAPESP (2014/11156-4), FAPESB (7916/2015), and CONACyT (CB2015-254132).
SIGNALS Main Papers
We also ask that paper cite the key technical publications of SIGNALS relevant to the data or software being used:
Survey Description
Rousseau-Nepton et al. 2019. “SIGNALS: I. Survey description” https://ui.adsabs.harvard.edu/abs/2019MNRAS.489.5530R/abstract
Telescope, Instrumentation, and Software
Rhea et al. 2021. “LUCI: A Python Package for SITELLE Spectral Analysis” https://ui.adsabs.harvard.edu/abs/2021RNAAS…5..208R/abstract
Martin & Drissen. 2020. “ORCS: a Post-processing Software for the Wide Field Imaging Fourier Transform Spectrometer SITELLE.” https://ui.adsabs.harvard.edu/abs/2020ASPC..522…41M/abstract
Drissen et al. 2019. “SITELLE: an Imaging Fourier Transform Spectrometer for the Canada-France-Hawaii Telescope” https://ui.adsabs.harvard.edu/abs/2019MNRAS.485.3930D/abstract
Martin et al. 2016. “Optimal fitting of Gaussian-apodized or under-resolved emission lines in Fourier transform spectra providing new insights on the velocity structure of NGC 6720” https://ui.adsabs.harvard.edu/abs/2016MNRAS.463.4223M/abstract
Martin et al. 2015. “ORBS, ORCS, OACS, a Software Suite for Data Reduction and Analysis of the Hyperspectral Imagers SITELLE and SpIOMM” https://ui.adsabs.harvard.edu/abs/2015ASPC..495..327M/abstract
Grandmont et al. 2012. “Final design of SITELLE: a wide-field imaging Fourier transform spectrometer for the Canada-France-Hawaii Telescope” https://ui.adsabs.harvard.edu/abs/2012SPIE.8446E..0UG/abstract
SIGNALS Science Papers
Bresolin et al. 2025. “SIGNALS on the mixing of oxygen and nitrogen in the spiral galaxy NGC 6946.” https://ui.adsabs.harvard.edu/abs/2025MNRAS.539..755B/abstract
Garner et al. 2025. “NGC 628 in SIGNALS: Explaining the Abundance-Ionization Correlation in H II Regions.” https://ui.adsabs.harvard.edu/abs/2025ApJ…978…70G/abstract
Duarte Puertas et al. 2024. “Properties of supernova remnants in SIGNALS galaxies – I. NGC 6822 and M33.” https://ui.adsabs.harvard.edu/abs/2024MNRAS.533.2677D/abstract
Tuquet et al. 2024. “Ring nebulae around Wolf-Rayet stars in M33 as seen by SITELLE.” https://ui.adsabs.harvard.edu/abs/2024MNRAS.530.4153T/abstract
Rhea et al. 2024. “Reconstructing robust background integral field unit spectra using machine learning.” https://ui.adsabs.harvard.edu/abs/2024RASTI…3..234R/abstract
Vicens-Mouret et al. 2023. “Planetary nebulae and supernova remnants in NGC 4214 from the SIGNALS survey” https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.3623V/abstract
Teh et al. 2023. “Constraining the LyC escape fraction from LEGUS star clusters with SIGNALS H II region observations: a pilot study of NGC 628.” https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.1191T/abstract
Rhea et al. 2023. “A machine learning approach to galactic emission-line region classification.” https://ui.adsabs.harvard.edu/abs/2023RASTI…2..345R/abstract
Rhea et al. 2021. “A Machine-learning Approach to Integral Field Unit Spectroscopy Observations. III. Disentangling Multiple Components in H II Regions” https://ui.adsabs.harvard.edu/abs/2021ApJ…923..169R/abstract
Rhea et al. 2021. “A Machine-learning Approach to Integral Field Unit Spectroscopy Observations. II. H II Region Line Ratios” https://ui.adsabs.harvard.edu/abs/2021ApJ…910..129R/abstract
Rhea et al. 2020. “A Machine-learning Approach to Integral Field Unit Spectroscopy Observations. I. H II Region Kinematics” https://ui.adsabs.harvard.edu/abs/2020ApJ…901..152R/abstract
Moumen et al. 2019. “3D optical spectroscopic study of NGC 3344 with SITELLE: I. Identification and confirmation of supernova remnants” https://ui.adsabs.harvard.edu/abs/2019MNRAS.488..803M/abstract
Rousseau-Nepton et al. 2019. “SIGNALS: I. Survey description” https://ui.adsabs.harvard.edu/abs/2019MNRAS.489.5530R/abstract
Rousseau-Nepton et al. 2018. “NGC628 with SITELLE: I. Imaging spectroscopy of 4285 H II region candidates” https://ui.adsabs.harvard.edu/abs/2018MNRAS.477.4152R/abstract
