4/1/2024 0 Comments How to use warpsharp![]() ![]() Keeping the telescope fixed on one field of the sky is practically impossible. We need multiple exposures so we can add them together and increase the objects’ signal to noise ratio. Therefore one short exposure is not enough to detect such objects that are drowned deeply in the noise. Noise: Most scientifically interesting targets are inherently faint (have a very low Signal to noise ratio).Observational reasons for warping an image are listed below: ![]() In modeling, warping an image is necessary when we want to apply grid transformations to the initial models, for example in simulating gravitational lensing (Radial warpings are not yet included in Warp). Image wrapping is a very important step in astronomy, both in observational data analysis and in simulating modeled images. Here we specifically mean the pixel grid transformation which is better conveyed with ‘warp’. This process is sometimes known as transformation, however following the discussion of Heckbert 1989 139 we will not be using that term because it can be confused with only pixel value or flux transformations. Image warping is the process of mapping the pixels of one image onto a new pixel grid. ![]() Previous: Convolve, Up: Data manipulation ![]()
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