Intrinsic mass-richness relation of clusters from THE THREE HUNDRED hydrodynamic simulations
arXiv:2404.00321 · doi:10.3847/1538-4357/ad3931
Abstract
The main systematics in cluster cosmology is the uncertainty in the mass-observable relation. In this paper, we focus on the most direct cluster observable in optical surveys, i.e. richness, and constrain the intrinsic mass-richness (MR) relation of clusters in THE THREE HUNDRED hydrodynamic simulations with two runs: GIZMO-SIMBA and GADGET-X. We find that modeling the richness at fixed halo mass with a skewed Gaussian distribution yields a simpler and smaller scatter compared to the commonly used log-normal distribution. Additionally, we observe that baryon models have a significant impact on the scatter, while exhibiting no influence on the mass dependence and a slight effect on the amplitude in the MR relation. We select member galaxies based on both stellar mass and absolute magnitude . We demonstrate that the MR relation obtained from these two selections can be converted to each other by using the relation. Finally, we provide a 7-parameter fitting result comprehensively capturing the dependence of the MR relation on both stellar mass cutoff and redshift.
accepted to ApJ
References in corpus (40)
- The propagation of uncertainties in stellar population synthesis modeling I: The relevance of uncertain aspects of stellar evolution and the IMF to the derived physical properties of galaxies
- Simba: Cosmological Simulations with Black Hole Growth and Feedback
- Evolutionary Stellar Population Synthesis with MILES. Part I: The Base Models and a New Line Index System
- A systematic variation of the stellar initial mass function in early-type galaxies
- The galaxy cluster mass scale and its impact on cosmological constraints from the cluster population
- The Three Hundred Project: Backsplash galaxies in simulations of clusters
- Galaxy Cluster Mass Reconstruction Project: II. Quantifying scatter and bias using contrasting mock catalogues
- Galaxy Cluster Mass Reconstruction Project: I. Methods and first results on galaxy-based techniques
- \textsc{The Three Hundred} project: The \textsc{Gizmo-Simba} run
- A Model for Multi-property Galaxy Cluster Statistics
- Mapping and characterisation of cosmic filaments in galaxy cluster outskirts: strategies and forecasts for observations from simulations
- The Three Hundred Project: correcting for the hydrostatic-equilibrium mass bias in X-ray and SZ surveys
- LoCuSS: Scaling relations between galaxy cluster mass, gas, and stellar content
- The ThreeHundred: the structure and properties of cosmic filaments in the outskirts of galaxy clusters
- Cosmological Constraints from Galaxy Clusters and Groups in the eROSITA Final Equatorial Depth Survey
- The Three Hundred Project: Ram pressure and gas content of haloes and subhaloes in the phase-space plane
- Photometric redshifts for galaxies in the Subaru Hyper Suprime-Cam and unWISE and a catalogue of identified clusters of galaxies
- Galaxy cluster mass estimation with deep learning and hydrodynamical simulations
- The Three Hundred project: shapes and radial alignment of satellite, infalling, and backsplash galaxies
- The insignificant evolution of the richness-mass relation of galaxy clusters
- Cosmic filaments in galaxy cluster outskirts: quantifying finding filaments in redshift space
- A study of the hydrostatic mass bias dependence and evolution within The Three Hundred clusters
- Hydrostatic mass estimates of massive galaxy clusters: a study with varying hydrodynamics flavours and non-thermal pressure support
- A Deep Learning Approach to Infer Galaxy Cluster Masses from Planck Compton parameter maps
- The Three Hundred Project: the stellar and gas profiles
- The evolution of the galaxy content of dark matter haloes
- Euclid preparation. XXXII. Evaluating the weak lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations
- Stellar mass functions and implications for a variable IMF
- What to expect from dynamical modelling of cluster haloes II. Investigating dynamical state indicators with Random Forest
- The Three Hundred: Cluster Dynamical States and Relaxation Time Scale
- Aging Halos: Implications of the Magnitude Gap on Conditional Statistics of Stellar and Gas Properties of Massive Halos
- The Outer Stellar Mass of Massive Galaxies: A Simple Tracer of Halo Mass with Scatter Comparable to Richness and Reduced Projection Effects
- The Three Hundred project: A Machine Learning method to infer clusters of galaxies mass radial profiles from mock Sunyaev-Zel'dovich maps
- What to expect from dynamical modelling of cluster haloes I. The information content of different dynamical tracers
- The Three Hundred Project: the evolution of physical baryon profiles
- Brightest Cluster Galaxies Trace Weak Lensing Mass Bias and Halo Triaxiality in The Three Hundred Project
- Photometric Objects Around Cosmic Webs (PAC) Delineated in a Spectroscopic Survey. III. Accurate Measurement of Galaxy Stellar Mass Function with the Aid of Cosmological Redshift Surveys
- Masses: Weak Lensing Calibration of the Dark Energy Survey Year 1 redMaPPer Clusters using Stellar Masses
- The Halo Mass-Temperature Relation for Clusters, Groups, and Galaxies
- The Three Hundred Project: Mapping The Matter Distribution in Galaxy Clusters Via Deep Learning from Multiview Simulated Observations
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- AMICO galaxy clusters in KiDS-1000: cosmological constraints and mass calibration from counts and weak lensing
- The Three Hundred Project hydrodynamical simulations: Hydrodynamical weak-lensing cluster mass biases and richnesses using different hydro models
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