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[ascl:2212.012] BANZAI-NRES: BANZAI data reduction pipeline for NRES

The BANZAI-NRES pipeline processes data from the Network of Robotic Echelle Spectrographs (NRES) on the Las Cumbres Observatory network and provides extracted, wavelength calibrated spectra. If the target is a star, it provides stellar classification parameters (e.g., effective temperature and surface gravity) and a radial velocity measurement. The automated radial velocity measurements from this pipeline have a precision of ~ 10 m/s for high signal-to-noise observations. The data flow and infrastructure of this code relies heavily on BANZAI (ascl:2207.031), enabling BANZAI-NRES to focus on analysis that is specific to spectrographs. The wavelength calibration is primarily done using xwavecal (ascl:2212.011). The pipeline propagates an estimate of the formal uncertainties from all of the data processing stages and includes these in the output data products. These are used as weights in the cross correlation function to measure the radial velocity.

Code site:
https://github.com/LCOGT/banzai-nres
Used in:
https://ui.adsabs.harvard.edu/abs/2022AJ....164..152S
Described in:
https://ui.adsabs.harvard.edu/abs/2022SPIE12189E..14M
Bibcode:
2022ascl.soft12012M

Views: 973

ascl:2212.012
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