Cluster Cosmology from Velocity Dispersions

Joe Hollowed

DePaul University Science Showcase

November 4 2016

Orientation

The Theory

Galaxy Clusters

- Largest and most recently collapsed objects in the universe (up to ~10   M )

- Deriving estimators of cluster mass allows us to do cosmology

15

Hubble Space Telescope

November 2004

Heitmann et. al. 2015

The Data

South Pole Telescope

- Microwave, millimeter, submillimeter

- SPT-SZ Survey

- SPT-GMOS spectroscopic followup

SDSS 2.5m Telescope

Optical -

Sloan Digital Sky Survey -

BOSS spectroscopic followup -

 Jose Francisco Salgado

kicp.uchicago.edu

Brian L. Lee

astro.ufl.edu

The Simulations

Q Continuum Simulation (1/16384 full sim)

Argonne National Laboratory

- Simulates gravity between trillions of particles over time, exhibits formation of clusters and the large scale "cosmic web"

- MIRA Supercomputer at ANL; 1.1 trillion mass particles resolving to ~10  M in ~3Gpc box

9

Analysis and Correlation

Analysis

- SZ effect

- Richness

- Xray

- Weak Lensing

- Velocity Dispersions

Observational Analysis -

Analysis

Comparison

Core Tracking -

Mock Catalogs -

Cluster Finders -

Observational Analysis -

Analysis

Comparison

Core Tracking -

Mock Catalogs -

Cluster Finders -

Theory

Theory

Velocity Dispersions

The statistical dispersion of a distribution of galaxy velocities, calculated via a weighted average, visualized as the width of a fitted Gaussian

Analysis

Velocity dispersion measurements done for SPT clusters       with at least 15 member galaxies (83 of 104)

Analysis

Passive Galaxies    

Post-starbust

Star-forming

Post-starburst +

Star-forming

Analysis

A trend can be seen in dispersion vs. mass plot, but we are lacking in both sample size and mass range

Analysis

- 560 clusters total

- First time combining SPT-SZ     and redmaPPer clusters for     velocity dispersion mass           scaling

- Relation looks promising

 

Future Work

Analysis

- SZ effect

- Richness

- Xray

- Weak Lensing

- Velocity Dispersions

Observational Analysis -

Analysis

Comparison

Core Tracking -

Mock Catalogs -

Cluster Finders -

Observational Analysis -

Analysis

Correlation

Core Tracking -

Mock Catalogs -

Cluster Finders -

Future Work

Cross check results with simulation data; mock masks, mock observations/catalogs, improve methods of analysis

Thank you

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