NEICHEL, BENOIT SYLVAINBENOIT SYLVAINNEICHELBeltramo-Martin, OlivierOlivierBeltramo-MartinPLANTET, Cedric Antoine Adrien GabrielCedric Antoine Adrien GabrielPLANTETROSSI, FabioFabioROSSIAGAPITO, GuidoGuidoAGAPITOFUSCO, THIERRY HERVE JEANTHIERRY HERVE JEANFUSCOCAROLO, ElenaElenaCAROLOCARLA, GiuliaGiuliaCARLACirasuolo, MicheleMicheleCirasuoloVan Der Burg, RemcoRemcoVan Der Burg2025-02-252025-02-252020978151063683597815106368420277-786Xhttp://hdl.handle.net/20.500.12386/36202The Adaptive Optics (AO) performance significantly depends on the available Natural Guide Stars (NGSs) and a wide range of atmospheric conditions (seeing, Cn2, windspeed, . . . ). In order to be able to easily predict the AO performance, we have developed a fast algorithm - called TIPTOP - producing the expected AO Point Spread Function (PSF) for any of the existing AO observing modes (SCAO, LTAO, MCAO, GLAO), and any atmospheric conditions. This TIPTOP tool takes its roots in an analytical approach, where the simulations are done in the Fourier domain. This allows to reach a very fast computation time (few seconds per PSF), and efficiently explore the wide parameter space. TIPTOP has been developed in Python, taking advantage of previous work developed in different languages, and unifying them in a single framework. The TIPTOP app is available on GitHub at: https://github.com/FabioRossiArcetri/TIPTOP, and will serve as one of the bricks for the ELT Exposure Time Calculator....STAMPAenConference paper10.1117/12.25615332-s2.0-85100007850https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11448/2561533/TIPTOP--a-new-tool-to-efficiently-predict-your-favorite/10.1117/12.2561533.shorthttps://api.elsevier.com/content/abstract/scopus_id/85100007850FIS/05 - ASTRONOMIA E ASTROFISICA