Paper
9 August 2016 Simulated observations of high-redshift galaxies with the HARMONI spectrograph for the European Extremely Large Telescope
Sarah Kendrew, Simon Zieleniewski, Ryan C. W. Houghton, Niranjan Thatte, Julien Devriendt, Matthias Tecza, Fraser Clarke, Kieran O'Brien, Boris Häußler
Author Affiliations +
Abstract
We show the results of a study into the performance of the E-ELT integral field spectrograph HARMONI for observations of galaxies at 2 < z < 4. Using the instrument simulation pipeline HSIM, we performed mock observations of galaxies in this redshift range using two different methods: (i) passive galaxies modeled with simple analytical spatial profiles and star formation histories; and (ii) a single z = 3 galaxy extracted from a high-resolution cosmological simulation, with a more complex and physically representative morphology and star formation history. We describe the software tools developed to convert the simulation data into a spectral cube containing the spatial and spectral properties of the galaxy’s light. From the mock observations we estimate how well the intrinsic properties of the galaxy can be recovered using commonly used analysis tools. The HSIM pipeline also allows us to study observational biases and their likely impact on the data. We discuss the implications of the project for the future science with HARMONI in the critical redshift regime for mass assembly in galaxies.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sarah Kendrew, Simon Zieleniewski, Ryan C. W. Houghton, Niranjan Thatte, Julien Devriendt, Matthias Tecza, Fraser Clarke, Kieran O'Brien, and Boris Häußler "Simulated observations of high-redshift galaxies with the HARMONI spectrograph for the European Extremely Large Telescope", Proc. SPIE 9908, Ground-based and Airborne Instrumentation for Astronomy VI, 99089Y (9 August 2016); https://doi.org/10.1117/12.2232794
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KEYWORDS
Galactic astronomy

Stars

Particles

Device simulation

Point spread functions

Data modeling

Kinematics

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