... | ... | @@ -12,4 +12,6 @@ where the `-q` flag results in the diffraction intensities being quantized to si |
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where the `-bj` and `-fj` flags respectively add beam and fluence jitter. A custom sloped background, which results in systematic rather than uncorrelated errors between shots, can also be simulated by supplying the path to a numpy array of the desired background and using the `-sb` flag.
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The sim_spinifel.py file requires a single GPU, and the beam file can be found at: [skopi/examples/input/beam](https://github.com/chuckie82/skopi/blob/main/examples/input/beam/amo86615.beam). A representative image from each dataset (with the particle in a random orientation for each shot) is shown below. Although the Poisson and noisy images are visually indistinguishable, the latter is affected by beam and fluence jitter, with the beam's center displaced by 2.2 pixels and a fluence of 1.2e13 rather than 1e13 photons for this shot. [Note: currently Gitlab won't let me attach a .png file, but I will try again later.] |
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\ No newline at end of file |
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The sim_spinifel.py file requires a single GPU, and the beam file can be found at: [skopi/examples/input/beam](https://github.com/chuckie82/skopi/blob/main/examples/input/beam/amo86615.beam). A representative image from each dataset (with the particle in a random orientation for each shot) is shown below. Although the Poisson and noisy images are visually indistinguishable, the latter is affected by beam and fluence jitter, with the beam's center displaced by 2.2 pixels and a fluence of 1.2e13 rather than 1e13 photons for this shot.
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![Representative image](https://gitlab.osti.gov/mtip/spinifel/uploads/6c02aaeff772d186535cd6cff5e881aa/rep_shots.png) |