2023
DOI: 10.1051/0004-6361/202245031
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Sensitivity of halo shape measurements

Abstract: Shape measurements of galaxies and galaxy clusters are widespread in the analysis of cosmological simulations. But the limitations of those measurements have been poorly investigated. In this Letter, we explain why the quality of the shape measurement does not only depend on the numerical resolution, but also on the density gradient. In particular, this can limit the quality of measurements in the central regions of haloes. We propose a criterion to estimate the sensitivity of the measured shapes based on the … Show more

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Cited by 3 publications
(3 citation statements)
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“…We show it only for the collisionless DM and the strongest fSIDM model of each velocity-dependence. In addition, we indicate at which radius the shape sensitivity (Fischer & Valenzuela 2023) for the 25th percentile drops below a value of 25. This is indicative of a radius above which the shape measurements are reliable.…”
Section: Shapesmentioning
confidence: 83%
See 1 more Smart Citation
“…We show it only for the collisionless DM and the strongest fSIDM model of each velocity-dependence. In addition, we indicate at which radius the shape sensitivity (Fischer & Valenzuela 2023) for the 25th percentile drops below a value of 25. This is indicative of a radius above which the shape measurements are reliable.…”
Section: Shapesmentioning
confidence: 83%
“…of the haloes cannot be measured accurately. The vanishing density gradient within the density core of SIDM haloes renders the shape undefined (Fischer & Valenzuela 2023).…”
Section: Shapesmentioning
confidence: 99%
“…We consider the shape fit to be converged when the difference between axial ratios vary by less than 10 −4 between iterations. Fischer & Valenzuela ( 2023 ) show that the halo shape cannot be reliably determined within a flat density core. Ho we ver, since none of the simulations analysed here are completely cored, this does not affect our analysis.…”
Section: Shape Algorithmmentioning
confidence: 91%