DOCSLIB.ORG

Stellar Evolution & Formation History of Centaurus a (NGC 5128)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Stellar Evolution & Formation History of Centaurus a (NGC 5128) TheThe GlobularGlobular ClusterCluster SystemSystem ofof NGCNGC 5128:5128: Ages,Ages, Metallicities,Metallicities, KinematicsKinematics andand StructuralStructural ParametersParameters Kristin A. Woodley McMaster University, Canada William Harris McMaster University Matías Gómez Universidad Andres Bello Thomas Puzia Herzberg Institute of Astrophysics Gretchen Harris University of Waterloo Doug Geisler Universidad de Concepción OutlineOutline GlobularGlobular ClustersClusters (GCs)(GCs) GCGC systemsystem –– constrainingconstraining thethe formationformation ofof NGCNGC 51285128 Ages, metallicities, and formation timescales of GCs Kinematics of the red and blue GCs GCs as tracers of mass Structural Parameters of the red and blue GCs SummarySummary GlobularGlobular ClustersClusters (GCs)(GCs) GCs are tracers of star formation episodes in their host galaxy Formation of massive star clusters in interacting and starbursting galaxies (Whitmore & Schweizer 1995) Advantages: Coeval structures Large GC systems in early- type galaxies Multi-object spectrographs – ages, chemical compositions, radial velocity measurements TheThe GCGC SystemSystem ofof NGCNGC 51285128 Estimated ~1500-2500 GCs MP (Harris et al. 2006) MR N = 605 GCs No photometry 268 are metal-poor 271 are metal-rich R < 45 arcmin Radial Velocity Studies: 1. van den Bergh et al. (1981) 2. Hesser et al. (1984) 3. Hesser et al. (1986) 4. Harris et al. (1992) 5. Peng et al. (2004) 6. Woodley et al. (2005) 7. Rejkuba et al. (2007) 8. Beasley et al. (2008) 9. Woodley et al. (2009a) 10. Woodley et al. (2009b) Resolved GC Study: 1. Harris et al. (2006) AgesAges andand MetallicitiesMetallicities ofof GCsGCs Age and metallicity distribution functions can provide information of when GCs of different metallicity form Integrated light of GCs Gemini-S/GMOS Wavelength: 3800 – 5500 Å 72 GCs with S/N > 30 HδA HγA Hβ Mgb IndiciesIndicies && ModelsModels Lick (Burstein et al. 1984, Worthey et al.1994, Trager et al.1998) Metallicity indices measured with GONZO (Puzia et al. 2002, 2005) Simple Stellar Population (SSP) Models (SSP) Models Age Thomas, Maraston, & Bender (2003) Thomas, Maraston, & Korn (2004) [α/Fe] – can provide information on formation timescales SNII – α-elements – 100 Myr GCs in NGC 5128 SNIa – Fe elements – 1 Gyr GCs in the Milky Way Ages, [Z/H], and [α /Fe] measured with a 3-D interpolation and Χ2 minimization routine 92% (23/25) of MP GCs are older than 8 Gyr 56% (26/47) of MR GCs are older than 8 Gyr 14% of GCs have ages 5-8 Gyr 18% of GCs have ages < 5 Gyr – all are MR [α /Fe] ~ 0-0.3, with of mean of 0.14 ± 0.04 – faster GC formation than in recent major merger, but slower than GCs in dense environments GCs in Milky Way GCs in NGC 5128 Previous studies by Peng et al. (2004) and Beasley et al. (2008) show similar results. KinematicsKinematics ofof thethe GCGC SystemSystem Kinematics are a useful way to study properties of GC subpopulations as well as obtain the mass of the host galaxy Recent studies with GMOS, LDSS-2, VIMOS, Hydra – 189 new GCs All Total: 605 GCs in NGC 5128, 564 with radial velocities 268:271 MP:MR GCs = + Ω Θ − Θ MP v p vsys Rsin( o ) vp - projected radial velocity vsys - systemic velocity ΩR - rotation amplitude Θ MR - azimuthal angle Θ o - rotation axis (Cote et al. 2001) KinematicsKinematics ofof thethe GCGC SystemSystem Metal-poor Metal-rich Rotation amplitude: ΩR = 17± 14 km/s ΩR = 41± 15 km/s whole system Θ o = 154 ± 47 ˚ E of N Θ o = 191 ± 18 ˚ E of N GCs > 8 Gyr σ vp = 149 ± 3 km/s σ vp = 150 ± 3 km/s Young GCs: ΩR = 58± 59 km/s Intermediate –aged GCs: ΩR = 53± 78 km/s MR - mild rotation around the isophotal major axis and a decreasing velocity dispersion. MP - very mild rotation, but not around any axis, with a steady velocity dispersion. KinematicsKinematics ofof thethe GCGC SystemSystem Metal-poor Metal-rich ΩR = 17± 14 km/s ΩR = 41± 15 km/s whole system Rotation Axis: Θ o = 154 ± 47 ˚ E of N Θ o = 191 ± 18 ˚ E of N GCs > 8 Gyr σ vp = 149 ± 3 km/s σ vp = 150 ± 3 km/s Young GCs: Θ o = 80 ± 84 ˚ E of N Intermediate –aged GCs: Θ o = 253 ± 54 ˚ E of N MR - mild rotation around the isophotal major axis and a decreasing velocity dispersion. MP - very mild rotation, but not around any axis, with a steady velocity dispersion. KinematicsKinematics ofof thethe GCGC SystemSystem Metal-poor Metal-rich ΩR = 17± 14 km/s ΩR = 41± 15 km/s whole system Θ o = 154 ± 47 ˚ E of N Θ o = 191 ± 18 ˚ E of N GCs > 8 Gyr Velocity Dispersion: σ vp = 149 ± 3 km/s σ vp = 150 ± 3 km/s MR - mild rotation around the isophotal major axis and a decreasing velocity dispersion. MP - very mild rotation, but not around any axis, with a steady velocity dispersion. Both MR and MP velocity dispersions tend to increase at larger radii. ComparisonComparison toto PlanetaryPlanetary NebulaeNebulae Planetary nebulae are the most direct look at the kinematics of the field stars 2 x 2 degree DSS image Total 780 planetary nebulae confirmed by radial velocity extending out to 90 kpc (Hui et al. 1995, Peng et al. 2004) KinematicsKinematics ofof thethe PNePNe SystemSystem Metal-rich Planetary Nebulae are rotating around a similar axis to the MR GCs. Indicates the MR GCs follow the halo light of the galaxy · interestingly, we find the MR GCs and the PNe also have the same radial surface density profile! · … and MR GCs have similar metallicity to the halo field star population PNe data whole MR GC system GCs > 8 Gyr ConnectionConnection toto StellarStellar HaloHalo Planetary Nebulae are rotating around a similar axis to the MR GCs. Indicates the MR GCs follow the halo light of the galaxy · interestingly, we find the MR GCs and the PNe also have the same radial surface density profile! · … and MR GCs have similar metallicity to the halo field star population Rejkuba et al. 2005 MassMass EstimateEstimate ofof NGCNGC 51285128 GCs can be used as tracer objects to estimate the mass of NGC 5128 Total mass = rotationally supported mass + pressure supported mass Spherical Jeans Equation R v2 M = out max r G Tracer Mass Estimator (Evans et al. 2003) N = C − 2 M p ∑(v f ,i vsys ) Ri GN i=1 11 M t = 5.5 ± 1.9 x 10 Msolar and M/L B = 15.3 Msolar/Lsolar (5’-20’) All GCs (from 5’) 11 MR GCs (5’-20’, 5’-40’) M t = 11.7 ± 3.9 x 10 Msolar and M/L B = 32.5 Msolar/Lsolar (5’-43’) MP GCs (5’-20’, 5’-43’) Ages,Ages, Metals,Metals, andand KinematicsKinematics Numerical Simulations Bekki et al. (2005) derived predictions for GC kinematics from galaxy merging models. · Dissipationless merging of spiral galaxies with pre-existing MP and MR GCs · General results: · Major merger: · velocity dispersions are generally flat or declining · both MP and MR GCs show significant rotation in the outer regions · kinematic misalignments with the galaxy · Minor merger: · velocity dispersions are generally flat or declining but are steeper · both MP and MR GCs can show rotation, but does not increase with distance · kinematic misalignments with the galaxy NGC 5128: Flat/decreasing velocity dispersion which rises with radius – anisotropy? Little rotation that does not increase with radius Kinematic misalignments StructuralStructural ParametersParameters Structural parameters can provide information on the formation conditions of GCs Baade/IMACS image 25 fields (1.2 deg2) Taken in 0.45 arcsec seeing High resolution images in B, R Accurate astrometry, photometry, GC candidates, structural parameters StructuralStructural ParametersParameters ofof GCsGCs ISHAPE (Larsen 1999, 2001) SPs for 572 GCs out to 8 Reff Half light radii, reff : . remains fairly constant throughout GC lifetime (Spitzer & Thaun 1972, Aarseth & Heggie 1998) . red GCs are typically 17-30% smaller than blue GCs (eg. Kundu & Whitmore, 1998) StructuralStructural ParametersParameters ofof GCsGCs <1 Reff, red GCs were 30% smaller than blue GCs (also Harris 2009) >1 Reff, negligible difference between the sizes of the two populations (also Spitler et al. 2006) Possible explanations: 0.5 •Projection effect caused by r ~ (Rgc ) (Larsen & Brodie 2003) •Intrinsic differences of mass segregation and metallicity dependent stellar lifetimes (Jordan 2004) •GCs formed in shallower potential wells could be extended (see Georgiev et al. 2008,2009) ConclusionsConclusions Globular Clusters in NGC 5128: Currently have 605 confirmed GCs in NGC 5128 and over 560 have radial velocities Formation history: Both MR and MP GCs are coeval and old forming the bulk of the galaxy Trend towards higher metallicities for younger ages Formation timescales and ages do not suggest a recent gas-rich major merger, but rather formation through hierarchical merging with accretion and star–forming events in more recent times Kinematics of GCs: GC system is dispersion dominated – does not suggest a disk-disk major merger Mild rotation for the MR GCs around the major axis – same axis as the PNe (Very) mild rotation for the MP GCs around no axis 11 Mass of NGC 5128 estimated to be 5.5 ± 1.9 x 10 Msolar out to 20’ Structural Parameters of GCs: Half-light radii of the MR GCs are ~30% smaller than MP GCs within ~2 Reff of the galaxy only.
Load more

Recommended publications
  • V. Spatially-Resolved Stellar Angular Momentum, Velocity Dispersion, and Higher Moments of the 41 Most Massive Local Early-Type Galaxies
    MNRAS 000,1{20 (2016) Preprint 9 September 2016 Compiled using MNRAS LATEX style file v3.0 The MASSIVE Survey - V. Spatially-Resolved Stellar Angular Momentum, Velocity Dispersion, and Higher Moments of the 41 Most Massive Local Early-Type Galaxies Melanie Veale,1;2 Chung-Pei Ma,1 Jens Thomas,3 Jenny E. Greene,4 Nicholas J. McConnell,5 Jonelle Walsh,6 Jennifer Ito,1 John P. Blakeslee,5 Ryan Janish2 1Department of Astronomy, University of California, Berkeley, CA 94720, USA 2Department of Physics, University of California, Berkeley, CA 94720, USA 3Max Plank-Institute for Extraterrestrial Physics, Giessenbachstr. 1, D-85741 Garching, Germany 4Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA 5Dominion Astrophysical Observatory, NRC Herzberg Institute of Astrophysics, Victoria BC V9E2E7, Canada 6George P. and Cynthia Woods Mitchell Institute for Fundamental Physics and Astronomy, and Department of Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA Accepted XXX. Received YYY; in original form ZZZ ABSTRACT We present spatially-resolved two-dimensional stellar kinematics for the 41 most mas- ∗ 11:8 sive early-type galaxies (MK . −25:7 mag, stellar mass M & 10 M ) of the volume-limited (D < 108 Mpc) MASSIVE survey. For each galaxy, we obtain high- quality spectra in the wavelength range of 3650 to 5850 A˚ from the 246-fiber Mitchell integral-field spectrograph (IFS) at McDonald Observatory, covering a 10700 × 10700 field of view (often reaching 2 to 3 effective radii). We measure the 2-D spatial distri- bution of each galaxy's angular momentum (λ and fast or slow rotator status), velocity dispersion (σ), and higher-order non-Gaussian velocity features (Gauss-Hermite mo- ments h3 to h6).
    [Show full text]
  • MODEST-18: Dense Stellar Systems in the Era of Gaia, LIGO and LISA June 25 - 29, 2018 | Santorini, Greece
    MODEST-18: Dense Stellar Systems in the Era of Gaia, LIGO and LISA June 25 - 29, 2018 | Santorini, Greece POSTER Federico Abbate (Milano-Bicocca): Ionized Gas in 47 Tuc – A Detailed Study with Millisecond Pulsars Globular clusters are known to be very poor in gas despite predictions telling us otherwise. The presence of ionized gas can be investigated through its dispersive effects on the radiation of the millisecond pulsars inside the clusters. This effect led to the first detection of any kind of gas in a globular cluster in the form of ionized gas in 47 Tucanae. With new timing results of these pulsars over longer periods of time we can improve the precision of this measurement and test different distribution models. We first use the parameters measured through timing to measure the dynamical properties of the cluster and the line of sight position of the pulsars. Then we test for gas distribution models. We detect ionized gas distributed with a constant density of n = (0.22 ± 0.05) cm−3. Models predicting a decreasing density or following the stellar distribution are highly disfavoured. Thanks to the quality of the data we are also able to test for the presence of an intermediate mass black hole in the center of the cluster and we derive an upper limit for the mass at ∼ 4000 M_sun. 1 MODEST-18: Dense Stellar Systems in the Era of Gaia, LIGO and LISA June 25 - 29, 2018 | Santorini, Greece POSTER Javier Alonso-García (Antofagasta): VVV and VVV-X Surveys – Unveiling the Innermost Galaxy We find the densest concentrations of field stars in our Galaxy when we look towards its central regions.
    [Show full text]
  • Astronomy 422
    Astronomy 422 Lecture 15: Expansion and Large Scale Structure of the Universe Key concepts: Hubble Flow Clusters and Large scale structure Gravitational Lensing Sunyaev-Zeldovich Effect Expansion and age of the Universe • Slipher (1914) found that most 'spiral nebulae' were redshifted. • Hubble (1929): "Spiral nebulae" are • other galaxies. – Measured distances with Cepheids – Found V=H0d (Hubble's Law) • V is called recessional velocity, but redshift due to stretching of photons as Universe expands. • V=H0D is natural result of uniform expansion of the universe, and also provides a powerful distance determination method. • However, total observed redshift is due to expansion of the universe plus a galaxy's motion through space (peculiar motion). – For example, the Milky Way and M31 approaching each other at 119 km/s. • Hubble Flow : apparent motion of galaxies due to expansion of space. v ~ cz • Cosmological redshift: stretching of photon wavelength due to expansion of space. Recall relativistic Doppler shift: Thus, as long as H0 constant For z<<1 (OK within z ~ 0.1) What is H0? Main uncertainty is distance, though also galaxy peculiar motions play a role. Measurements now indicate H0 = 70.4 ± 1.4 (km/sec)/Mpc. Sometimes you will see For example, v=15,000 km/s => D=210 Mpc = 150 h-1 Mpc. Hubble time The Hubble time, th, is the time since Big Bang assuming a constant H0. How long ago was all of space at a single point? Consider a galaxy now at distance d from us, with recessional velocity v. At time th ago it was at our location For H0 = 71 km/s/Mpc Large scale structure of the universe • Density fluctuations evolve into structures we observe (galaxies, clusters etc.) • On scales > galaxies we talk about Large Scale Structure (LSS): – groups, clusters, filaments, walls, voids, superclusters • To map and quantify the LSS (and to compare with theoretical predictions), we use redshift surveys.
    [Show full text]
  • REDSHIFTS and VELOCITY DISPERSIONS of GALAXY CLUSTERS in the HOROLOGIUM-RETICULUM SUPERCLUSTER Matthew C
    The Astronomical Journal, 131:1280–1287, 2006 March A # 2006. The American Astronomical Society. All rights reserved. Printed in U.S.A. REDSHIFTS AND VELOCITY DISPERSIONS OF GALAXY CLUSTERS IN THE HOROLOGIUM-RETICULUM SUPERCLUSTER Matthew C. Fleenor, James A. Rose, and Wayne A. Christiansen Department of Physics and Astronomy, University of North Carolina, Chapel Hill, NC 27599; fl[email protected], [email protected], [email protected] Melanie Johnston-Hollitt Department of Physics, University of Tasmania, Hobart, TAS 7005, Australia; [email protected] Richard W. Hunstead School of Physics, University of Sydney, Sydney, NSW 2006, Australia; [email protected] Michael J. Drinkwater Department of Physics, University of Queensland, Brisbane, QLD 4072, Australia; [email protected] and William Saunders Anglo-Australian Observatory, Epping, NSW 1710, Australia; [email protected] Received 2005 October 18; accepted 2005 November 15 ABSTRACT We present 118 new optical redshifts for galaxies in 12 clusters in the Horologium-Reticulum supercluster (HRS) of galaxies. For 76 galaxies, the data were obtained with the Dual Beam Spectrograph on the 2.3 m telescope of the Australian National University at Siding Spring Observatory. After combining 42 previously unpublished redshifts with our new sample, we determine mean redshifts and velocity dispersions for 13 clusters in which previous observa- tional data were sparse. In 6 of the 13 clusters, the newly determined mean redshifts differ by more than 750 km sÀ1 from the published values. In three clusters, A3047, A3109, and A3120, the redshift data indicate the presence of multiple components along the line of sight.
    [Show full text]
  • Properties of Simulated Milky Way-Mass Galaxies in Loose Group and field Environments
    A&A 547, A63 (2012) Astronomy DOI: 10.1051/0004-6361/201219649 & c ESO 2012 Astrophysics Properties of simulated Milky Way-mass galaxies in loose group and field environments C. G. Few1,B.K.Gibson1,2,3,S.Courty4, L. Michel-Dansac4,C.B.Brook5, and G. S. Stinson6 1 Jeremiah Horrocks Institute, University of Central Lancashire, Preston, PR1 2HE, UK e-mail: [email protected] 2 Department of Astronomy & Physics, Saint Mary’s University, Halifax, Nova Scotia, B3H 3C3, Canada 3 Monash Centre for Astrophysics, Monash University, 3800 Victoria, Australia 4 Université de Lyon, Université Lyon 1, Observatoire de Lyon, CNRS, UMR 5574, Centre de Recherche Astrophysique de Lyon, École Normale Supérieure de Lyon, 9 avenue Charles André, 69230 Saint-Genis Laval, France 5 Grupo de Astrofísica, Departamento de Fisica Teorica, Modulo C-15, Universidad Autónoma de Madrid, 28049 Cantoblanco, Spain 6 Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Received 22 May 2012 / Accepted 27 September 2012 ABSTRACT Aims. We test the validity of comparing simulated field disk galaxies with the empirical properties of systems situated within envi- ronments more comparable to loose groups, including the Milky Way’s Local Group. Methods. Cosmological simulations of Milky Way-mass galaxies have been realised in two different environment samples: in the field and in loose groups environments with similar properties to the Local Group. Apart from the differing environments of the galaxies, the samples are kept as homogeneous as possible with equivalent ranges in last major merger time, halo mass and halo spin. Comparison of these two samples allow for systematic differences in the simulations to be identified.
    [Show full text]
  • A 10000-Solar-Mass Black Hole in the Nucleus of a Bulgeless Dwarf Galaxy
    A 10,000-solar-mass black hole in the nucleus of a bulge- less dwarf galaxy Jong-Hak Woo1, Hojin Cho1, Elena Gallo2, Edmund Hodges-Kluck2;3;4, Huynh Anh Le1, Jaejin Shin1, Donghoon Son1, & John C. Horst5 1Department of Physics & Astronomy, Seoul National University, Seoul, 08826, Republic of Korea 2Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA 3Department of Astronomy, University of Maryland, College Park, MD 20742, USA 4NASA/GSFC, Code 662, Greenbelt, MD 20771, USA 5San Diego State University, San Diego, CA 92182, USA The motions of gas and stars in the nuclei of nearby large galaxies have demonstrated that massive black holes are common1 and that their masses strongly correlate with the stellar 2;3;4 velocity dispersion σ? of the bulge . This correlation suggests that massive black holes and galaxies influence each other’s growth5;6;7. Dynamical measurements are less reliable when the sphere of influence is unresolved, thus it remains unknown whether this correlation exists in galaxies much smaller than the Milky Way, as well as what fraction of these galaxies have central black holes. Light echoes from photoionized clouds around accreting black 8;9 arXiv:1905.00145v2 [astro-ph.GA] 13 Jun 2019 holes , in combination with the velocity of these clouds, yield a direct mass measurement that circumvents this difficulty. Here we report an exceptionally low reverberation delay of 83 14 minutes between variability in the accretion disk and high velocity Hα emission from ± the nucleus of the bulgeless dwarf galaxy NGC 4395. Combined with the Hα line-of-sight 1 −1 velocity dispersion σ = 426 1 km s , this lag determines a mass of about 10,000 M for line ± the black hole.
    [Show full text]
  • Dark Matter in Elliptical Galaxies?
    Chapter 13 Dark Matter in Elliptical Galaxies? Dark matter in elliptical galaxies includes both central black holes and extended dark halos. On dimensional grounds, one might expect that the velocity dispersion profile !(r) of an elliptical galaxy to be related to the cumulative mass profile M(r) by r ! 2(r) M(r) . (13.1) ! G In fact, dispersion alone does not provide enough information; without additional constraints on the velocity anisotropy, a very wide range of mass profiles are consistent with a given dispersion profile. Luckily, there is one component commonly found in elliptical galaxies which can be used to detect extended dark halos – X-ray emitting gas. 13.1 Jeans Models of Spherical Systems Perhaps the simplest application of the Jeans equations is to equilibrium spherical systems. Assum- ing that all properties are constant in time and invariant with respect to rotation about the center, the radial Jeans equation is d 2" d# ("v2) + (v2 v2) = " , (13.2) dr r r r − t − dr where " is the stellar density, and vr and vt are velocities in the radial and tangential directions, respectively. Define the radial and tangential dispersions, ! 2 v2 , ! 2 v2 , (13.3) r ≡ r t ≡ t and the anisotropy, $ 1 ! 2/! 2 , (13.4) ≡ − t r which is % for a purely tangential velocity distribution, 0 for an isotropic distribution, and +1 for − a purely radial velocity distribution. Then (13.2) becomes 1 d 2 d# ("! 2) + $! 2 = . (13.5) " dr r r r − dr If "(r), $(r), and #(r) are known functions, (13.5) may treated as a differential equation for the radial dispersion profile.
    [Show full text]
  • The Cosmic Distance Scale • Distance Information Is Often Crucial to Understand the Physics of Astrophysical Objects
    The cosmic distance scale • Distance information is often crucial to understand the physics of astrophysical objects. This requires knowing the basic properties of such an object, like its size, its environment, its location in space... • There are essentially two ways to derive distances to astronomical objects, through absolute distance estimators or through relative distance estimators • Absolute distance estimators Objects for whose distance can be measured directly. They have physical properties which allow such a measurement. Examples are pulsating stars, supernovae atmospheres, gravitational lensing time delays from multiple quasar images, etc. • Relative distance estimators These (ultimately) depend on directly measured distances, and are based on the existence of types of objects that share the same intrinsic luminosity (and whose distance has been determined somehow). For example, there are types of stars that have all the same intrinsic luminosity. If the distance to a sample of these objects has been measured directly (e.g. through trigonometric parallax), then we can use these to determine the distance to a nearby galaxy by comparing their apparent brightness to those in the Milky Way. Essentially we use that log(D1/D2) = 1/5 * [(m1 –m2) - (A1 –A2)] where D1 is the distance to system 1, D2 is the distance to system 2, m1 is the apparent magnitudes of stars in S1 and S2 respectively, and A1 and A2 corrects for the absorption towards the sources in S1 and S2. Stars or objects which have the same intrinsic luminosity are known as standard candles. If the distance to such a standard candle has been measured directly, then the relative distances will have been anchored to an absolute distance scale.
    [Show full text]
  • Shapley Supercluster Survey: Mapping the filamentary Network Connecting the Clusters
    MNRAS 481, 1055–1074 (2018) doi:10.1093/mnras/sty2338 Advance Access publication 2018 August 25 Shapley Supercluster Survey: mapping the filamentary network connecting the clusters C. P. Haines,1,2‹ G. Busarello,3 P. Merluzzi,3‹ K. A. Pimbblet,4 F. P. A. Vogt,5† 6 3 3 3‡ M. A. Dopita, A. Mercurio, A. Grado, and L. Limatola Downloaded from https://academic.oup.com/mnras/article-abstract/481/1/1055/5079654 by University of Hull user on 05 February 2019 1INAF - Osservatorio Astronomico di Brera, via Brera 28, I-20121 Milano, Italy 2Departamento de Astronom´ıa, Universidad de Chile, Casilla 36-D, Correo Central, Santiago, Chile 3INAF - Osservatorio Astronomico di Capodimonte, via Moiariello 16, I-80131 Napoli, Italy 4E.A. Milne Centre for Astophysics, University of Hull, Cottingham Road, Kingston-upon-Hull, HU6 7RX, UK 5European Southern Observatory, Av. Alonso de Cordova´ 3107, Vitacura, Casilla 19001, Santiago, Chile 6Research School of Australia and Astrophysics, Australian National University, Canberra, ACT 2611, Australia Accepted 2018 August 21. Received 2018 August 21; in original form 2018 July 2 ABSTRACT We have mapped the structure and connectivity of the Shapley supercluster core and its sur- roundings as traced by its member galaxies. To achieve this, we have carried out a new redshift survey of galaxies across a 21 square degree region (17×17 Mpc2) of the Shapley supercluster containing 11 rich clusters, all lying at z ∼ 0.048. This survey aims to provide full spectro- scopic coverage of galaxies for the Shapley Supercluster Survey (ShaSS), a multiwavelength survey based on high-quality optical ugri and near-infrared K-band imaging acquired with the 2.6-m VST and 4.1-m VISTA telescopes.
    [Show full text]
  • The Jeans Modeling of the Milky Way Galaxy: Implications of the Kinematics of the Stellar Halo
    A&A 531, A82 (2011) Astronomy DOI: 10.1051/0004-6361/201116909 & c ESO 2011 Astrophysics The Jeans modeling of the Milky Way galaxy: implications of the kinematics of the stellar halo S. Samurovic´ and A. Lalovic´ Astronomical Observatory, Volgina 7, 11160 Belgrade, Serbia e-mail: [srdjan;ana]@aob.bg.ac.rs Received 17 March 2011 / Accepted 28 April 2011 ABSTRACT Aims. We investigate the predictions of Newtonian dynamics and the MOND theory related to the Milky Way galaxy using the Jeans equation. Methods. We used the measurements of the radial velocities of the blue horizontal branch (BHB) halo stars to test the predictions of Newtonian gravity and to also extend our study to different MOND models, taking orbital anisotropies that we calculate into account. Results. The halo stars of the Galaxy were used as a tracer of the Galaxy’s gravitational potential. The Jeans equation was calculated for both the Newtonian and the MOND approaches. We assumed spherical symmetry and calculated the Jeans equation by taking orbital anisotropies into account. Circular velocities for both approaches were also analyzed. Conclusions. We solved the Jeans equation in spherical approximation and confirm that the Newtonian model without dark matter cannot fit the observed velocity dispersion profile and that the truncated flat model with dark matter can provide a good fit to the observed velocity dispersion. For the MOND models, from the Jeans modeling and the models of the circular velocity curves, we found that two models can provide a fit to the data without significant anisotropies whereas two other tested models need various anisotropies to obtain the same result.
    [Show full text]
  • Cosmology with Velocity Dispersion Counts: an Alternative to Measuring
    MNRAS 000, 1–14 (2016) Preprint 17 July 2018 Compiled using MNRAS LATEX style file v3.0 Cosmology with velocity dispersion counts: an alternative to measuring cluster halo masses C. E. Caldwell1⋆, I. G. McCarthy1†, I. K. Baldry1, C. A. Collins1, J. Schaye2, S. Bird3 1Astrophysics Research Institute, Liverpool John Moores University, 146 Brownlow Hill, Liverpool, L3 5RF 2Leiden Observatory, Leiden University, P. O. Box 9513, 2300 RA Leiden, the Netherlands 3Department of Physics and Astronomy, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA Version of 17 July 2018 ABSTRACT The evolution of galaxy cluster counts is a powerful probe of several fundamental cosmological parameters. A number of recent studies using this probe have claimed tension with the cosmology preferred by the analysis of the Planck primary CMB data, in the sense that there are fewer clusters observed than predicted based on the primary CMB cosmology. One possible resolution to this problem is systematic errors in the absolute halo mass calibration in cluster studies, which is required to convert the standard theoretical prediction (the halo mass function) into counts as a function of the observable (e.g., X-ray luminosity, Sunyaev-Zel’dovich flux, optical richness). Here we propose an alternative strategy, which is to directly compare predicted and observed cluster counts as a function of the one-dimensional velocity dispersion of the cluster galaxies. We argue that the velocity dispersion of groups/clusters can be theoretically predicted as robustly as mass but, unlike mass, it can also be directly observed, thus circumventing the main systematic bias in traditional cluster counts studies.
    [Show full text]
  • Satellite Galaxy Velocity Dispersions in the SDSS and Modified Gravity Models
    Galaxies 2014, 2, 263-274; doi:10.3390/galaxies2020263 OPEN ACCESS galaxies ISSN 2075-4434 www.mdpi.com/journal/galaxies Article Satellite Galaxy Velocity Dispersions in the SDSS and Modified Gravity Models John W. Moffat 1;2 and Viktor T. Toth 1;* 1 Perimeter Institute for Theoretical Physics, Waterloo, ON N2L 2Y5, Canada; E-Mail: [email protected] 2 Department of Physics, University of Waterloo, Waterloo, ON N2L 3G1, Canada * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-519-569-7600; Fax: +1-519-569-7611. Received: 28 March 2014; in revised form: 22 April 2014 / Accepted: 24 April 2014 / Published: 5 May 2014 Abstract: The Sloan Digital Sky Survey (SDSS) provides data on several hundred thousand galaxies. The precise location of these galaxies in the sky, along with information about their luminosities and line-of-sight (Doppler) velocities, allows one to construct a three-dimensional map of their location and estimate their line-of-sight velocity dispersion. This information, in principle, allows one to test dynamical gravity models, specifically models of satellite galaxy velocity dispersions near massive hosts. A key difficulty is the separation of true satellites from interlopers. We sidestep this problem by not attempting to derive satellite galaxy velocity dispersions from the data, but instead incorporate an interloper background into the mathematical models and compare the result to the actual data. We find that due to the presence of interlopers, it is not possible to exclude several gravitational theories on the basis of the SDSS data. Keywords: galaxies; halos; structure; gravitation; surveys Classification: PACS 04.20.Cv; 04.50.Kd; 04.80.Cc; 45.20.D-; 45.50.-j; 98.62.Dm; 98.62.Py Galaxies 2014, 2 264 1.
    [Show full text]