ORCS

ORCS (Outils de Réduction de Cubes Spectraux) is an analysis engine for SITELLE spectral cubes. With ORCS you can:

• extract integrated spectra

• fit the sinc emission lines

• get a fast and robust estimation fo the velocity and fluxes of all the emission lines in you cube (even for multiple components, see our paper).

• recalibrate your data in wavelength, astrometry and flux

• and much more ...

Examples in Jupyter format can be found in the documentation:

https://orcs.readthedocs.io/en/latest/examples.html

Warning: ORCS is always in fast development. You might see bugs or strange behaviours ! You might also want desperatly to have new features. In all cases please send an email: thomas dot martin dot 1 at ulaval dot ca

Documentation

You can find the up-to-date documentation here:

https://orcs.readthedocs.io/en/latest/index.html

Installation

Install ORB

ORCS depends on ORB which must be installed first.

The archive and the installation instructions for ORB can be found on github::

https://github.com/thomasorb/orb

Install / update ORCS

ORCS can be downloaded and installed from github also::

https://github.com/thomasorb/orcs

Following the instructions given to install ORB you can do the following to install ORCS.

clone ORCS

mkdir orcs-stable # do it where you want to put orb files
cd orcs-stable
git clone https://github.com/thomasorb/orcs.git

in the downloaded folder

conda activate orb3 # you don't need to do it if you are already in the orb3 environment
cd path/to/orcs-stable
python setup.py install

Test it:

conda activate orb3 # you don't need to do it if you are already in the orb3 environment
python -c 'import orcs.core'

Troubleshooting

Check the version of the packages

• Here is a list of all the versions of the packages on a working installation (docs/orbs3-ver.txt). Higher versions generally work but not in some cases.

• Here is an environment file that can be used directly with conda to install the correct versions of the packages (docs/orbs3-env.txt).

Publications

• Martin, Milisavljevic, Drissen (2021), 3D mapping of the Crab Nebula with SITELLE – I. Deconvolution and kinematic reconstruction, MNRAS, Volume 502, Issue 2, Pages 1864–1881, https://doi.org/10.1093/mnras/staa4046

• Martin, Drissen, Prunet (2021), Data reduction and calibration accuracy of the imaging Fourier transform spectrometer SITELLE, MNRAS, Volume 505, Issue 4, Pages 5514–5529, https://doi.org/10.1093/mnras/stab1656

• Martin, Drissen, Melchior (2017). A SITELLE view of M31's central region - I: Calibrations and radial velocity catalogue of nearly 800 emission-line point-like sources. MNRAS http://adsabs.harvard.edu/abs/2017arXiv170701366M

• Martin, Prunet, Drissen (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. MNRAS http://adsabs.harvard.edu/abs/2016MNRAS.463.4223M

• Martin, Drissen, Joncas (2015). ORBS, ORCS, OACS, a Software Suite for Data Reduction and Analysis of the Hyperspectral Imagers SITELLE and SpIOMM. PASP http://adsabs.harvard.edu/abs/2015ASPC..495..327M