activity
20152025
most citedThe Data Processing Pipeline for the MUSE Instrument

361 citations · 456 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2025★ 6 cited

viper: High-precision radial velocities from the optical to the infrared (Reaching 3 m/s in the K band of CRIRES+ with telluric modelling)

J. Köhler, M. Zechmeister, A. Hatzes +18

In recent years, a number of new instruments and data reduction pipelines have been developed to obtain high-precision radial velocities (RVs). In particular in the optical, consid…

astro-ph.IM2024

PyCPL: The ESO Common Pipeline Library in Python v1.0

Mrunmayi S. Deshpande, Nuria P. F. Lorente, Anthony Horton +5

PyCPL provides full access to ESO's Common Pipeline Library ( CPL) for astronomical data reduction within a Python environment. Not only does it offer a Python interface to the rob…

astro-ph.IM2020★ 361 cited

The Data Processing Pipeline for the MUSE Instrument

Peter M. Weilbacher, Ralf Palsa, Ole Streicher +12

Processing of raw data from modern astronomical instruments is nowadays often carried out using dedicated software, so-called "pipelines" which are largely run in automated operati…

astro-ph.IM2016★ 1 cited

An overview of the mid-infrared spectro-interferometer MATISSE: science, concept, and current status

A. Matter, B. Lopez, P. Antonelli +104

MATISSE is the second-generation mid-infrared spectrograph and imager for the Very Large Telescope Interferometer (VLTI) at Paranal. This new interferometric instrument will allow…

astro-ph.GA2015★ 88 cited

A MUSE map of the central Orion Nebula (M 42)

Peter M. Weilbacher, Ana Monreal-Ibero, Wolfram Kollatschny +15

We present a new integral-field spectroscopic dataset of the central part of the Orion Nebula (M 42), observed with the MUSE instrument at the ESO VLT. We reduced the data with the…