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In particular, I will focus on our work with Deep Generative Models in two different settings: simulating realistic galaxy images for shape measurement calibration purposes, and modeling the intrinsic alignment signal (the tendency of galaxies to align with the large scale structure) in hydrodynamical simulations, with the aim of producing realistic mock galaxy catalogs.
We present an estimator for extracting the intrinsic alignment signal of galaxies around stacked clusters of galaxies from multiband imaging data.
The formalism can be useful in the studies of tracer bias, intrinsic alignment and gravitational-wave "fossil" effect.
In this talk I will discuss some of my recent work in the field of weak lensing, spanning a range of topics including combined probe analysis, intrinsic alignment contamination and delensing.
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Abstract: Intrinsic alignments of galaxies have been shown to contaminate weak gravitational lensing observables on linear scales, r < 10 h-1 Mpc, but studies of alignments in the non-linear regime have thus far been inconclusive.
These results support our current theoretical understanding of galaxy cluster intrinsic alignments in the Λ cold dark matter paradigm, although further work will be needed to understand the impact of cluster selection effects and observational measurement errors on the amplitude of the detection.
Abstract: We measure the large-scale intrinsic alignments of galaxy clusters in the Sloan Digital Sky Survey (SDSS) using subsets of two cluster catalogues: 6625 clusters with 0.1 < z < 0.3 from the maxBCG cluster catalogue (7500deg 2) and 8081 clusters with 0.08 < z < 0.44 from the adaptive matched filter catalogue (6500deg 2).
In addition to intrinsic image alignment, the anticipated benefit of a PET/CT hardware combination was to use the CT images to derive the PET attenuation correction factors [1].
Intrinsic anisotropy, caused by alignment of anisotropic mineral crystals (such as clays and micas), is included using an anisotropic background elasticity ( S_{ijkl}^{0} ).
The implementation calls for a preliminary spatial alignment using intrinsic anatomical landmarks.
Entrainment of brain oscillations refers to the temporal alignment of intrinsic brain activity to periodic (e.g. sensory, electrical, or magnetic) stimulation [16].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com