5 citations · 9 across the 5 of their papers we have counts for
8 papers
ScopeSim: A flexible general purpose astronomical instrument data simulation framework in Python
Kieran Leschinski, Hugo Buddelmeijer, Oliver Czoske +3
ScopeSim is a flexible multipurpose instrument data simulation framework built in Python. It enables both raw and reduced observation data to be simulated for a wide range of teles…
Data model as agile basis for evolving calibration software
Hugo Buddelmeijer, Gijs A. Verdoes Kleijn, Kieran Leschinski
We design the imaging data calibration and reduction software for MICADO, the First Light near-IR instrument on the Extremely Large Telescope. In this process we have hit the limit…
AnisoCADO: a python package for analytically generating adaptive optics point spread functions for the Extremely Large Telescope
Kieran Leschinski, Eric Gendron
AnisoCADO is a Python package for generating images of the point spread function (PSF) for the european extremely large telescope (ELT). The code allows the user to set many of the…
The Initial Mass Function in the ELT era
Kieran Leschinski, João Alves
The initial mass function (IMF) is an important, yet enigmatic aspect of the star formation process. The two major open questions regarding the IMF are: is the IMF constant regardl…
The Future of IMF studies with the ELT and MICADO I: The local Universe as a resolved IMF laboratory
Kieran Leschinski, João Alves
Aims. In this work we aim to estimate the lowest stellar mass that MICADO at the ELT will be able to reliably detect given a stellar density and distance. We also show that instrum…
3D shape of Orion A from Gaia DR2
Josefa E. Grossschedl, Joao Alves, Stefan Meingast +16
We use the DR2 distances of about 700 mid-infrared selected young stellar objects in the benchmark giant molecular cloud Orion A to infer its 3D shape and orientati…