8–13 Sept 2019
Europe/Rome timezone
All inquiries about receipts for the payment of the conference fee and/or dinner should be addressed to: a.vriz@fondazionealmamater.it, d.bordignon@fondazionealmamater.it

Quantitatively defining consistent relaxed galaxy cluster samples for precision cosmology with impending surveys

10 Sept 2019, 17:40
15m

Speaker

Dr David Barnes (MIT)

Description

Impending surveys from facilities such as e-Rosita, SPT-3G and Euclid will revolutionize cluster cosmology by yielding samples with $>10^{5}$ galaxy clusters, producing an exquisitely detailed 10 Gyr picture of cluster formation. In this new era of precision cluster cosmology dynamically relaxed clusters occupy a special role, enabling a reliable deprojection of ICM properties and reduced systematics associated with mass estimation. However, defining a relaxed cluster is non-trivial. Visual classification, based on a regular morphology and strong central emission, has an inherent lack of objectivity and presents a daunting challenge given the scale of future surveys. In contrast, classifying clusters by measurable image features produces an objective and reproducible method, but is fundamentally a thresholding exercise with arbitrary cut-off values depending on the study. In this talk, we will use mock X-ray observations of the IllustrisTNG, C-Eagle, BAHAMAS and MACSIS simulations to produce a quantitative definition of a relaxed galaxy cluster based on minimizing the scatter in estimated masses. We will examine the high-dimensional relaxation criteria space to explore if the common 3D aperture theoretical and 2D aperture X-ray observable relaxation criteria thresholds can be aligned to yield a consistent sample of relaxed clusters and how this evolves with sensitivity, redshift, numerical resolution and subgrid modelling. Finally, we will assess the impact of a quantitative definition of relaxed on estimated cluster masses, scaling relations and the covariance of cluster observables.

Affiliation MIT
Topic Hot and diffuse baryons

Primary author

Co-authors

Ms Roxana Pop (Harvard CfA) Ms Francesca Pearce (University of Manchester) Dr Scott Kay (University of Manchester) Prof. Mark Vogelsberger (MIT)

Presentation materials