Marseille Imaging Testbed for HIgh Contrast
Testbed name | Managing institution |
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MITHIC | Laboratoire d'Astrophysique de Marseille (LAM) |
Contact person | People willing to give talks |
Arthur Vigan |
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Main scientific focus | Testbed environment |
The MITHIC bench is dedicated to the test of components and concepts for high-contrast imaging in ground-based applications. The bench was originally developed for the laboratory validation of the apodized Roddier coronagraph and the ZELDA wavefront sensor in a static environment. It now includes a residual turbulence simulator that enables testing concepts in a more realistic environment for ground-based XAO instruments. The main scientific focus of MITHIC is currently 1/ the development of strategies to measure and compensate non-common path aberrations, and 2/ the validation of wavefront control techniques to improve the contrast in coronagraphic and non-coronagraphic images. Since 2018, MITHIC is used in the HiRISE project to validate acquisition and centering strategies for injection into single mode fibers. The latest results associated to MITHIC are: |
The testbed is located in a grey room in the basement of LAM. The temperature and humidity are not controlled in the room. The bench is on a floating table to isolate it from vibrations of the building. An enclosure around the optical table is being designed to prevent dust and to limit local turbulence. |
Key hardware items | Current status |
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The bench is fully functional but is currently undergoing an upgrade to be fully automated using a user interface software developed at LAM. The software enables controlling the coronagraphic and ZELDA masks on 3 axes, the residual turbulence phase screen in rotation and translation, the phase pattern displayed on the SLM and the acquisition of images for the wavefront sensor and science cameras. An enclosure will also be added in the coming months. |
Software, languages | Is our software shared? |
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The software is mostly private, but relies on public modules such as pyZELDA. All the analysis codes are written in Python. The interface software to control the bench is written in C# but it is fully interface with Python for direct interaction with the analysis codes. |