Kinematic, lensing & X-ray mass estimates of a poor cluster

Similar documents
MASS PROFILES OF GALAXY CLUSTERS from dynamics. Andrea Biviano INAF - Trieste

Cluster density profiles and orbits of galaxies from dynamical analysis. Andrea Biviano, INAF/Oss.Astr.Trieste

The Caustic Technique An overview

MAMPOSSt modeling of true & mock dwarf spheroidal galaxies

Clusters and groups of galaxies: internal structure and dynamics

SUPPLEMENTARY INFORMATION

Joint mass and anisotropy modeling of the. Fornax Dwarf Spheroidal

Connecting observations to simulations arxiv: Joe Wolf (UC Irvine)

The role of massive halos in the cosmic star formation history

arxiv: v1 [astro-ph.co] 14 Dec 2018

RESULTS ABOUT GALAXIES FROM INTERNAL DYNAMICS OF GROUPS AND CLUSTERS

The Los Cabos Lectures

4. Structure of Dark Matter halos. Hence the halo mass, virial radius, and virial velocity are related by

Resolving the structure and evolution of nearby Galaxy Clusters

Milky Way s Mass and Stellar Halo Velocity Dispersion Profiles

Dark Matter. Homework 3 due. ASTR 433 Projects 4/17: distribute abstracts 4/19: 20 minute talks. 4/24: Homework 4 due 4/26: Exam ASTR 333/433.

4. Structure of Dark Matter halos. Hence the halo mass, virial radius, and virial velocity are related by

DA(z) from Strong Lenses. Eiichiro Komatsu, Max-Planck-Institut für Astrophysik Inaugural MIAPP Workshop on Extragalactic Distance Scale May 26, 2014

Measuring galaxy environments with group finders: Methods & Consequences

arxiv: v2 [astro-ph.co] 22 Jul 2010

Constraining Dark Matter Equation of State with CLASH Clusters

Astronomy. Astrophysics. A study of catalogued nearby galaxy clusters in the SDSS-DR4. II. Cluster substructure

astro-ph/ Aug 1995

Galaxy Clusters Across Cosmic Times: Opening Talk. Andrea Biviano, INAF-OATs

Clusters: Observations

The effect of large scale environment on galaxy properties

AST 541 Notes: Clusters of Galaxies Fall 2010

Galaxy evolution in clusters from the CLASH-VLT survey

X-ray and Sunyaev-Zel dovich Effect cluster scaling relations: numerical simulations vs. observations

Spectroscopy of M81 Globular Clusters. Julie B. Nantais & John P. Huchra MMT Science Symposium 5/19/10

DARC - DYNAMICAL ANALYSIS OF RADIO CLUSTERS

Structure formation in the concordance cosmology

Infrared Mass-to-Light Profile Throughout the Infall Region of the Coma Cluster

Joint X ray/sze analysis of the intra cluster medium

Probing Dark Matter Halos with Satellite Kinematics & Weak Lensing

Clusters and Groups of Galaxies

Galaxy Cluster Mergers

Clusters of galaxies

Resolving observable features of galaxy cluster merger El Gordo using idealized cluster models in SPH simulations

The halo-galaxy connection KITP, May 2017` Assembly bias. Simon White Max Planck Institute for Astrophysics

Galaxy clusters. Dept. of Physics of Complex Systems April 6, 2018

Multiwavelength Analysis of CLASH Clusters

Constraining self-interacting dark matter with scaling laws of observed halo surface densities

Calibrating the Planck Cluster Mass Scale with CLASH

Clusters of Galaxies with Euclid

Embedded Spiral Patterns in the massive galaxy cluster Abell 1835

IN GALAXY GROUPS? WHERE IS THE CENTER OF MASS MATT GEORGE. 100 kpc 100 kpc UC BERKELEY

arxiv:astro-ph/ v1 1 Nov 2006

Astronomy 422. Lecture 15: Expansion and Large Scale Structure of the Universe

A tool to test galaxy formation theories. Joe Wolf (UC Irvine)

Connecting observations to simulations arxiv: Joe Wolf (UC Irvine)

Galaxy Group Masses: Lensing, Dynamics & Xrays

Galaxy formation and evolution. Astro 850

2. What are the largest objects that could have formed so far? 3. How do the cosmological parameters influence structure formation?

Splashback radius as a physical boundary of clusters

b a = 1 n 10. Surface brightness profile of most elliptical galaxies can be fit well by the R 1/4 (or de Vaucouleurs) law, (1 ɛ) 2 a 2 = 1.

Astro-H/HSC/SZE. Nicole Czakon (ASIAA) Hiroshima, 08/27/2014

Exploring Dark Energy

Clusters at z > 1.5 from the SpARCS Infrared Cluster Survey

Some issues in cluster cosmology

The kinematics of the extreme outer halo of. M87 as revealed by Planetary Nebulae. A.Longobardi M.Arnaboldi O.Gerhard. Garching 2015, 26th Feb.

The Association of Compact Groups of Galaxies with Large-scale Structures

Large-scale structure and dynamics of the most X-ray luminous galaxy cluster known RX J

GALAXY GROUPS IN THE THIRD DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY

Bayesian Mass Estimates of the Milky Way: incorporating incomplete data

SUPPLEMENTARY INFORMATION

arxiv: v1 [astro-ph.co] 20 Jul 2010

Testing the cold dark matter model with gravitational lensing

Dark Energy. Cluster counts, weak lensing & Supernovae Ia all in one survey. Survey (DES)

The fine-scale structure of dark matter halos

Unveiling the Structure of Galaxy Clusters with Combined ESO-VLT, WFI, and XMM-Newton Observations

Weak lensing measurements of Dark Matter Halos around galaxies

THE EDGES OF DARK MATTER HALOS: THEORY AND OBSERVATIONS

The asymmetry in the GC population of NGC 4261

You may not start to read the questions printed on the subsequent pages until instructed to do so by the Invigilator.

Clusters: Observations

Dark Matter and/or MOND in Giant Ellipticals

arxiv:astro-ph/ v1 30 Nov 2004

Clusters and cosmology

Using Globular Clusters to. Study Elliptical Galaxies. The View Isn t Bad... Omega Centauri. Terry Bridges Australian Gemini Office M13

Simulating non-linear structure formation in dark energy cosmologies

A novel determination of the local dark matter density. Riccardo Catena. Institut für Theoretische Physik, Heidelberg

Signatures of MG on. linear scales. non- Fabian Schmidt MPA Garching. Lorentz Center Workshop, 7/15/14

Multi-wavelength scaling relations (scaling relations 101)

The Formation and Evolution of Galaxy Clusters

X- ray surface brightness fluctuations and turbulence in galaxy clusters. Jeremy Sanders. Andy Fabian. Sanders & Fabian 2011, MNRAS, submitted

Lecture 12 : Clusters of galaxies

SZ Effect with ALMA. Kaustuv moni Basu (MPIfR / Universität Bonn)

8.1.1 Possible Improvements to the Background Selection Technique

The rotation of Galaxy Clusters

What Can We Learn from Galaxy Clustering 1: Why Galaxy Clustering is Useful for AGN Clustering. Alison Coil UCSD

Gaia Revue des Exigences préliminaires 1

New Galaxy Groups from the RASS. Thomas Reiprich

Gravitational Lensing of the Largest Scales

Cosmology with Planck clusters. Nabila Aghanim IAS, Orsay (France)

STUDY OF THE LARGE-SCALE STRUCTURE OF THE UNIVERSE USING GALAXY CLUSTERS

arxiv:astro-ph/ v2 24 Apr 2006

arxiv:astro-ph/ v1 10 Nov 1999

Structure of Dark Matter Halos

(Toward) A Solution to the Hydrostatic Mass Bias Problem in Galaxy Clusters. Eiichiro Komatsu (MPA) UTAP Seminar, December 22, 2014

Transcription:

Kinematic, lensing & X-ray mass estimates of a poor cluster A. Biviano (Trieste, I) + P. Popesso, J.P.Dietrich, Y.-Y. Zhang, G. Erfanianfar, M. Romaniello, B. Sartoris

Introduction Bower+97: optically selected distant clusters have low LX for their velocity dispersion, probably overestimated because of projection effects (filaments along the los) or because of a large population of infalling galaxies Matching discrepancies X-ray and optical cluster samples (Donahue+02, Gilbank+04, Basilakos+04, Sadibekova+14) RedMaPPer detection XMM undetection

Introduction Popesso, AB+07: Abell X-ray Underluminous (AXU) clusters : spectroscopically confirmed Abell clusters with unsecure X-ray detection. AXU stacked distribution of rest-frame cluster galaxy velocities is long-tailed in the outer regions, suggestive of an infalling population. AXU clusters appear to have lower galaxy number density near the center than X-ray-normal Abell clusters, and higher bluer galaxy fraction.

Introduction Dietrich, AB, Popesso+09: Weak lensing observations of potentially X-ray underluminous galaxy clusters : A315 @z=0.174 & A1456 @z=0.135, observed with WFI@ESO/MPG-2.2m to obtain their masses via Weak Lensing Weak Lensing Mass maps: clear detection for A315 no detection for A1456

Introduction Dietrich, AB, Popesso+09: Weak lensing observations of potentially X-ray underluminous galaxy clusters : A315 @z=0.174 & A1456 @z=0.135, observed with WFI@ESO/MPG-2.2m to obtain their masses via Weak Lensing Ry k + off 08 Masses from lensing confirms A315 is X-ray underluminous for its mass (AXU) while A1456 is not velbcg Bimodal velocity distribution of A1456: unrelaxed dynamical state or projection effects mass overestimate from velocity dispersion

A315: new data VIMOS@VLT spectroscopic observations: 479 reliable redshifts, δv~110 km/s + SDSS-III DR10: 499 redshifts, 32 in common total: 946 redshifts in 1 12' x 45' field z-peak: A315 Grey shading: member number density contours corrected for incompleteness Dots: all spectroscopic members 1 Mpc Number-density map of photometric members used to define cluster center as density peak (yellow +) (yellow diamond: weak lensing peak from Dietrich, AB+09) r200(σv)=1.24 Mpc

A315: members Cluster members identified in projected phase-space diagram using the Shifting Gapper method (Fadda+96) confirmed by the Clean method (Mamon, AB, Boué 13) 222 cluster members identified (filled dots) σv= 603 ± 30 km/s Assuming NFW M(r), mass concentration from c-m relation of Macciò+08, velocity anisotropy profile from Mamon+Łokas 05, σv r200σ=1.24 ± 0.06 Mpc r200σ=1.24 Mpc Note: G M200=100 H(z)2 r2003

A315: substructures Use the DSb algorithm (AB+96,+02; after Dressler+Shectman 88) to identify substructures: 17 cluster members assigned to subclusters (green dots) 205 cluster members left Grey shading: member number density contours corrected for incompleteness Red dots: spectroscopic members Green dots: members of subclusters 1 Mpc 10 subcluster galaxies are in the same group, with σv= 282 ± 70 km/s r200(σv)=1.24 Mpc

A315: substructures Use KMM algorithm (McLachlan & Basford 88; Ashman+94) on remaining 205 members: chek for bimodality in velocity distribution. 2-Gaussian fit significantly better than 1-Gaussian fit for R r200σ velocity distribution. 1-Gaussian fit is adequate for R>r200σ velocity distribution. KMM-subcluster; KMM-subcluster KMM-main cluster R r200σ Number density contours, member positions, and centers ( x) of KMM-main cluster and KMM-subcluster +: cluster center; : weak lensing peak R>r200σ 0.3 Mpc The centers of the inner KMM-main cluster and KMM-subcluster are 0.7 Mpc apart.

A315: mass profile Caustic method (Diaferio & Geller 97; Diaferio 99): discontinuity in projected-phase space is related to escape velocity of galaxies from the cluster potential. Method is robust vs. presence of subcluster we do not remove DSb and KMM subclusters from the analysis Caustics However this method does not provide strong constraints on the cluster mass: r200c=0.9 [-0.3,+0.6] Mpc r200σ=1.24 Mpc At face value, r200c < r200σ

A315: mass profile MAMPOSSt method (Mamon, AB, Boué 13): Maximum Likelihood analysis of the projected phase-space distribution of cluster members, finding best-fit for models of M(r) and the velocity anisotropy profile based on the Jeans equation for dynamical equilibrium. Use R r200σ members, excluding DSb substructures; weigh the MAMPOSSt likelihood by the member probabilities of belonging to the KMM-main cluster Red (blue) dots: cluster members with higher (resp. lower) probability of belonging to KMM-main Use MAMPOSSt in Split mode, fitting the spatial distribution of cluster members separately from their velocity distribution: (projected) NFW with r-2,ν=1.0 [-0.3,+0.7] Mpc r200σ=1.24 Mpc

A315: mass profile MAMPOSSt method (Mamon, AB, Boué 13): 3 models for the mass profile M(r) - mass density profile ρ(r): A) Burkert 95, Bur, (d log ρ / d log r)0 = 0, (d log ρ / d log r) = -3 B) Hernquist 90, Her, (d log ρ / d log r)0 = -1, (d log ρ / d log r) = -4 C) Navarro+ 96,97, NFW, (d log ρ / d log r)0 = -1, (d log ρ / d log r) = -3 4 models for the velocity anisotropy profile β(r) 1-(σt/σr)2: a) constant, b) Mamon+Łokas 05, c) Osipkov 79 + Merritt 85, d) modified-tiret+07 3 Free parameters: (1) r200, the mass profile normalization (2) r-2, the scale-radius of the mass profile (3) a velocity-anisotropy parameter M200 M(r) concentration, c r200/r-2

A315: mass profile W NF 1σ NFW is best-fit M(r) model Tiret is bets-fit β(r) model Uncertainties in best-fit model (filled blue dot) variance among different models (other symbols) statistical error dominates Low concentration, c r200/r-2 < 1 Isotropic (or tangential) orbits ur nto co c<1 =1) c ( e v r u =r -2 c r 200 c>1

A315: mass profile Kinematics (Dietrich+09) MAMPOSSt r200 < r200σ MAMPOSSt r200 r200c MAMPOSSt Marginally inconsistent with the results from the kinematic analysis of Dietrich, AB, Popesso+09 (dashed line, shaded regions indicating random and random+systematic uncertainties)

A315: mass profile Kinematics (Dietrich+09) MAMPOSSt r200 < r200σ MAMPOSSt r200 r200c Marginally inconsistent with the results from the kinematic analysis of Dietrich, AB, Popesso+09 (dashed line, shaded regions indicating random and random+systematic uncertainties) MAMPOSSt Lensing (Dietrich+09)...and with the results from the weak lensing analysis of same authors (red diamond with error bars)

A315: mass profile Kinematics (Dietrich+09) MAMPOSSt M(r) concentration theoretical expectation for given M,z (from Correa+15) direction of decreasing c the ex p e y l l a c i or e t ct e c en d c on tratio rrea+ o C ( ve n cu r 1 5) Lensing (Dietrich+09)

A315: mass profile Kinematics (Dietrich+09) MAMPOSSt Dietrich, AB, Popesso+09 derived r200wl from the weak lensing map, using NFW model fitting with fixed c=7 (theoretically motivated) Lensing (using c=1) Using c=1 we find: r200mamposst r200wl (gold diamond) the ex p e y l l a c i or e t ct e c en d c on tratio rrea+ o C ( ve n cu r 1 5) Lensing (Dietrich+09)

A315: mass profile Kinematics (Dietrich+09) MAMPOSSt Lensing (using c=1) The new r200 determinations (MAMPOSSt, lensing c=1) are in good agreement with r200x from LX using the Rykoff+08 scaling relation (yellow line and shading) X-ray luminosity Lensing (Dietrich+09) A315 no longer X-ray underluminous

Conclusions is a low-mass cluster (8 1013 M ); this explains its low LX A315 Previous mass estimates were biased high because of: a) complex kinematics structure (unaccounted substructures) b) wrong assumption on M(r) concentration (lensing) Ry k 08 + f of A1456 A315, New A315, Old

Conclusions is a low-mass cluster (8 1013 M ); this explains its low LX A315 Previous mass estimates were biased high because of: a) complex kinematics structure (unaccounted substructures) b) wrong assumption on M(r) concentration (lensing) Ry k 08 + f of A1456 A315, New A315, Old Can all Abell X-ray Underluminous clusters be explained by a wrong mass estimate caused by line-of-sight, infalling structures (Bower+97)?

Conclusions is a low-mass cluster (8 1013 M ); this explains its low LX A315 Previous mass estimates were biased high because of: a) complex kinematics structure (unaccounted substructures) b) wrong assumption on M(r) concentration (lensing) Ry k 08 + f of A1456 A315, New A315, Old Can all Abell X-ray Underluminous clusters be explained by a wrong mass estimate caused by line-of-sight, infalling structures (Bower+97)?...the game is not quite over yet

Conclusions Both A315 and A1456 appear to be in a (minor?) merging process (also: tangential orbits) The low-concentration measured for A315 is uncommon (both observationally, e.g. Groener+16, and theoretically, e.g. Correa+15); it could originate from the merging process; could this also lower LX? Planck collaboration 2016: Planck 2015 results. XXVII. The second Planck catalogue of Sunyaev-Zeldovich sources : some clusters have SZ Y500 compatible with their redmapper richness λ, but too high for their LX Are both λ and Y500 biased high, or are their X-ray underluminous for their mass? See also talk by Ewan O Sullivan: some X-ray groups might remain undetected (mergers, non-cc, AGN-disrupted...)

Conclusions Need follow-up observations of more candidate X-ray underluminous clusters for the issue to be settled down Nice score if it was a soccer game, but looks like it s a basketball game!