TipTop: toward a single tool for all ELT instrument's PSF prediction

• Type: Article in International Conference Proceedings Book
• Date: 2024

Authors

Neichel, B (Author) Other; Agapito, G (Author) Other; Kuznetsov, A (Author) Other; Rossi, F (Author) Other; Plantet, C (Author) Other; Manara, CF (Author) Other; Fetick, R (Author) Other; Concas, A (Author) Other; Vernet, J (Author) Other; Hainaut, O (Author) Other; Cheffot, AL (Author) Other; Carlà, G (Author) Other; Sauvage, JF (Author) Other; Cirasuolo, M (Author) Other; Padovani, P (Author) Other; Correia, C (Author) FEUP; Héritier, CT (Author) Other; Fusco, T (Author) Other

Conference proceedings International

Title: ADAPTIVE OPTICS SYSTEMS IX

Conference on Adaptive Optics Systems IX

Yokohama, JAPAN, JUN 16-22, 2024

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-017-95H

DOI: 10.1117/12.3015061

Abstract (EN): To facilitate easy prediction and estimation of Adaptive Optics performance, we have created a fast algorithm named TipTop. This algorithm generates the expected AO Point Spread Function (PSF) for any existing AO observing mode (SCAO, LTAO, MCAO, GLAO) and any set of atmospheric conditions. Developed in Python, TipTop is based on an analytical approach, with simulations performed in the Fourier domain, enabling very fast computation times (less than a second per PSF) and efficient exploration of the extensive parameter space. TipTop can be used for several applications, from assisting in the observation preparation with the Exposure Time Calculator (ETC), to providing PSF models for post-processing. TipTop can also be used to help users in selecting the best NGSs asterism and optimizing their observation. Over the past years, the code has been intensively tested against different other simulation tools, showing very good agreements. TipTop is also currently deployed for VLT instruments, as proof of concepts in preparation of the ELT. The code is available here: https://tiptop.readthedocs.io/en/main/, and we encourage all future observers of the ELT to test it and provide feedback !

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14