the clustering of galaxies detected by neutral hydrogen emission

Post on 04-Jan-2016

41 Views

Category:

Documents

0 Downloads

Preview:

Click to see full reader

DESCRIPTION

Sean Passmoor Prof. Catherine Cress Collaborators Andreas Faltenbacher, Ando Ratsimbazafy Ben Hoyle, Russell Johnston, Mathew Smith. The clustering of galaxies detected by neutral hydrogen emission. Galaxy Clustering in Radio surveys: HI & continuum sources. Introduction. - PowerPoint PPT Presentation

TRANSCRIPT

Sean PassmoorProf. Catherine Cress

CollaboratorsAndreas Faltenbacher, Ando Ratsimbazafy Ben Hoyle, Russell Johnston, Mathew Smith

Galaxy Clustering in Radio surveys:HI & continuum sources

Introduction

Why Measure Clustering:• Compare galaxy populations & relationship with dark

matter

• Evolution of clustering dependent on (ΩΛ; Ω

m)

• Constrains nature of Dark Matter (e.g. Hot Dark Matter Evolves Differently)

What is bias:• Relates fluctuations of DM to that of galaxies• Important for galaxy evolutionary theory• Predictions for SKA experiments

Angular Correlation Function

Probability of Finding 2 sources separated by a given angle

For Random Samples ω(θ)=0

ω θ = DD θ RR θ

−1

Illustration: Angular Correlation Function for an Artificial Distribution

•The fake data clustered on ±10° scale

• The Random Data is evenly distributed over the field

Current Neutral Hydrogen Surveys

HIPASS Survey (Blue)• Area = 20 000 deg2

• Depth z ≈ 0.02• 4315 HI sources

ALFALFA Survey (Red)• Area ≈ 400 deg2

• Depth z ≈ 0.06• 1796 HI sources

Redshift Distribution

Angular Correlation Function for HIPASS & ALFALFA

.Compare correlation function of HI-galaxies with dark matter to measure bias

Recap

We find agreement between the clustering strengths of the two surveys.

Note : since bias < 1 → anti-biased

Measured BIAS parameter

ALFALFA 0.52 ± 0.1

HIPASS 0.68 ± 0.1

Galaxy Clustering in Radio surveys:continuum sources

Continuum sources Synchrotron emission High redshift

• Faint Images of the Radio Sky at Twenty-Centimeters

~10000 deg2

~ 90 sources per deg2 at 1mJy

• Matched to SDSS (overlap ~4600 deg2)

Photometric Redshift Distribution

Matched Probe z < 1

• S3 Simulation – Theoretical Prediction of Redshift Distro.

Galaxy Clustering in Radio surveys:continuum sources

Continuum sources Synchrotron emission High redshift

• Faint Images of the Radio Sky at Twenty-Centimeters

~10000 deg2

~ 90 sources per deg2 at 1mJy

• Matched to SDSS (overlap ~4600 deg2)

Photometric Redshift Distribution

Matched Probe z < 1

• S3 Simulation – Theoretical Prediction of Redshift Distro.

Galaxy Clustering in Radio surveys:continuum sources

Continuum sources Synchrotron emission High redshift

• Faint Images of the Radio Sky at Twenty-Centimeters

~10000 deg2

~ 90 sources per deg2 at 1mJy

• Matched to SDSS (overlap ~4600 deg2)

Photometric Redshift Distribution

Matched Probe z < 1

• S3 Simulation – Theoretical Prediction of Redshift Distro.

• Unmatched Sources– Probes deeper

• By Measuring the clustering of unmatched FIRST we probe bias at high-z

Faint Images of the Radio Sky at Twenty-Centimeters

Ongoing ...

• Matched Sources– Matched Probe z < 1

• Unmatched Sources– Probes deeper

• Way Forward

– ???

Matched sample

contains a mixed

population?

Summary

HI Clustering Studies

• Both ALFALFA & HIPASS indicate an anti-bias– i.e. less clustered than dark matter

Continuum Clustering Studies

• The Bias Calculation is ongoing

top related