Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Point Spread Function (PSF) is a characteristic of a data acquisition system. In the context of ground-based hyperspectral astronomical observations, it varies both with the observing conditions and as a function of the wavelength. Its knowledge being a prerequisite for many data processing and analysis tasks, it has to be estimated from the data themselves.  propose a simple model to approximate such spectrally varying PSF controlled with only three hyper-parameters. Then  propose to estimate these hyper-parameters from hyperspectral data of an isolated star. The estimation scheme consists of two steps. First,  estimate the star spectrum and the noise variance for each pixel of the datacube; second,  estimate the hyper-parameters. Different estimators are compared for the first step, and accounting for a local average in the wavelength dimension is shown to improve the PSF estimation for low SNR.
['Emma Villeneuve', 'Hervé Carfantan', 'Denis Serre']
I am writing a research paper on a idea PSF estimation of hyperspectral data acquisition system for ground-based astrophysical observations
[{"from": "human", "value": "I am writing a research paper on a idea PSF estimation of hyperspectral data acquisition system for ground-based astrophysical observations"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Point Spread Function (PSF) is a characteristic of a data acquisition system. In the context of ground-based hyperspectral astronomical observations, it varies both with the observing conditions and as a function of the wavelength. Its knowledge being a prerequisite for many data processing and analysis tasks, it has to be estimated from the data themselves.  propose a simple model to approximate such spectrally varying PSF controlled with only three hyper-parameters. Then  propose to estimate these hyper-parameters from hyperspectral data of an isolated star. The estimation scheme consists of two steps. First,  estimate the star spectrum and the noise variance for each pixel of the datacube; second,  estimate the hyper-parameters. Different estimators are compared for the first step, and accounting for a local average in the wavelength dimension is shown to improve the PSF estimation for low SNR."}]