Abstract Details

Name: Aishwarya Selvaraj
Affiliation: IIA, Bengaluru
Conference ID: ASI2019_53
Title : Development of camera control software for high speed acquisition.
Authors and Co-Authors : Aishwarya Selvaraj, Ravinder Kumar Banyal, R Sridharan
Abstract Type : Poster
Abstract Category : Instrumentation and Techniques
Abstract : A real-time adaptive optics(AO) system is necessary to improve the telescope resolution which otherwise is limited by the Earth's atmospheric turbulence. An AO system consists of a wavefront sensor(WFS) to measure the wave-front aberrations, a controller to analyze/reconstruct the wavefront and a deformable mirror(DM) to correct the aberrations. A WFS sensor needs to temporally sample the wavefront at high speed at which the atmospheric changes take place. This requires camera system with high frame rate. We have developed a custom software to control the ANDOR Neo 5.5 sCMOS camera for the high speed AO system which is under development. The basic functionalities of the camera are replicated using the SDK libraries provided by ANDOR. Python and its superset Cython are used as the programming platform for developing camera control and implementing various functionalities. A graphical user interface has been developed using PyQt, Qt library package. Python threading and Qt module signal and slot have been used to achieve the image acquisition and display speed comparable to the stand-alone software provided by the vendor.