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VIMOS main distinguishing characteristic is its very high multiplex capability: in MOS mode up to 800 spectra can be acquired simultaneously, while the Integral Field Unit produces 6400 spectra to obtain integral field spectroscopy of an area approximately 1x1 arcmin in size. To successfully exploit the capabilities of such an instrument it is necessary to expedite as much as possible the analysis of the very large volume of data that it will produce, automating almost completely the basic data reduction and the related bookkeeping process. The VIMOS Data Reduction Software (DRS) has been designed specifically to satisfy these two requirements. A complete automation is achieved using a series of auxiliary tables that store all the input information needed by the data reduction procedures, and all the output information that they produce. We expect to achieve a satisfactory data reduction for more than 90% of the input spectra, while some level of human intervention might be required for a small fraction of them to complete the data reduction. The DRS procedures can be used as a stand-alone package, but are also being incorporated within the VIMOS pipeline under development at the European Southern Observatory.
With the ever growing popularity of integral field unit (IFU) spectroscopy, countless observations are being performed over multiple object systems such as blank fields and galaxy clusters. With this, an increasing amount of time is being spent extra
Drilling and Extraction Automated System (DREAMS) is a fully automated prototype-drilling rig that can drill, extract water and assess subsurface density profiles from simulated lunar and Martian subsurface ice. DREAMS system is developed by the Texa
CHARIS is an IFS designed for imaging and spectroscopy of disks and sub-stellar companions. To improve ease of use and efficiency of science production, we present progress on a fully-automated backend for CHARIS. This Automated Data Extraction, Proc
We are developing X-ray microcalorimeters as a backup option for the baseline detectors in the X-IFU instrument on board the ATHENA space mission led by ESA and to be launched in the early 2030s.5$times$5 mixed arrays with TiAu transition-edge sensor
Creating datasets manually by human annotators is a laborious task that can lead to biased and inhomogeneous labels. We propose a flexible, semi-automatic framework for labeling data for relation extraction. Furthermore, we provide a dataset of prepr