Dynamics of the outer parts of  Centauri Gary Da Costa Mt Stromlo Observatory, Research School of Astronomy & Astrophysics, Australian National University.

Slides:



Advertisements
Similar presentations
The Outermost Regions of Galactic Disks Ken Freeman RSAA, ANU MNRF Symposium NGC 6946: WSRT, Tom Oosterloo.
Advertisements

To measure the brightness distribution of galaxies, we must determine the surface brightness of the resolved galaxy. Surface brightness = magnitude within.
Chemical Cartography with SDSS/APOGEE Michael Hayden (NMSU), Jo Bovy (IAS), Steve Majewski (UVa), Jennifer Johnson (OSU), Gail Zasowski (JHU), Leo Girardi.
The W i d e s p r e a d Influence of Supermassive Black Holes Christopher Onken Herzberg Institute of Astrophysics Christopher Onken Herzberg Institute.
P.Tisserand Rencontres du Vietnam Final results on galactic dark matter from the EROS-2 microlensing survey ~ images processed - 55 million.
Dark Matter in Dwarf Galaxies
Dwarf Galaxies in Group Environments Marla Geha Carnegie Observatories (OCIW)
MOND Modified Newtonian Dynamics A Humble Introduction Johannes Kepler Isaac Newton Markus Nielbock.
Session: MGAT9 – Self-Gravitating Systems SPHERICALLY SYMMETRIC RELATIVISTIC STELLAR CLUSTERS WITH ANISOTROPIC MOMENTUM DISTRIBUTION Marco MERAFINA Department.
Clusters & Super Clusters Large Scale Structure Chapter 22.
Nuclei of Early-type Dwarf Galaxies: Are They Progenitors of Ultracompact Dwarf Galaxies? Paudel, S., Lisker, T., Janz, J. 2010, ApJ, 724, L64 Park, Hong.
 Star clusters may often be modelled as simple stellar populations → useful tools to constrain the star formation history of their host galaxies (refs).
Dwarf Galaxies and Their Destruction... Marla Geha Carnegie Observatories (OCIW) Collaborators: P. Guhathakurta (UCSC), R. van der Marel (STScI)
The Milky Way PHYS390 Astrophysics Professor Lee Carkner Lecture 19.
Spatial Structure Evolution of Open Star Clusters W. P. Chen and J. W. Chen Graduate Institute of Astronomy National Central University IAU-APRM
The Milky Way Galaxy 19 April 2005 AST 2010: Chapter 24.
On the Distribution of Dark Matter in Clusters of Galaxies David J Sand Chandra Fellows Symposium 2005.
The Nature of the Least Luminous Galaxies Josh Simon Carnegie Observatories Josh Simon Carnegie Observatories Marla Geha (Yale) Quinn Minor (SUNY Oneonta)
The Milky Way Galaxy James Binney Oxford University.
Proper-Motion Membership Determinations in Star Clusters Dana I. Dinescu (Yale U.)
A Galactic halo road map The halo stars : where, whither, whence? Chris Thom, Jyrki Hänninen, Johan Holmberg, Chris Flynn Tuorla Observatory Swinburne.
Lens Galaxy Environments Neal Dalal (IAS), Casey R. Watson (Ohio State) astro-ph/ Who cares? 2.What to do 3.Results 4.Problems! 5.The future.
Levels of organization: Stellar Systems Stellar Clusters Galaxies Galaxy Clusters Galaxy Superclusters The Universe Everyone should know where they live:
Galaxy-Galaxy Lensing What did we learn? What can we learn? Henk Hoekstra.
Mass Determinations of Short Period CV Donors Authors: Christopher D.J. Savoury*, S.P Littlefair*, V.S. Dhillion*, T.R. Marsh #, B.T. Gänsicke #, *The.
Galaxy Characteristics Surface Brightness Alternative to Luminosity I(R) = Flux/area = erg/s/cm 2 /arcsec 2 I(0) – center flux I(R) = at radius R Define.
The Dual Origin of a Simulated Milky Way Halo Adi Zolotov (N.Y.U.), Beth Willman (Haverford), Fabio Governato, Chris Brook (University of Washington, Seattle),
Effects of baryons on the structure of massive galaxies and clusters Oleg Gnedin University of Michigan Collisionless N-body simulations predict a nearly.
Seattle University and APO Joanne Hughes Department of Physics.
I N T R O D U C T I O N The mechanism of galaxy formation involves the cooling and condensation of baryons inside the gravitational potential well provided.
Σπειροειδείς γαλαξίες
8th Sino-German Workshop Kunming, Feb 23-28, 2009 Milky Way vs. M31: a Tale of Two Disks Jinliang HOU In collaboration with : Ruixiang CHANG, Shiyin SHEN,
Lecture 12 Astronomy /27/07. Looking Back Through Time Recall that looking at distant objects is the same as looking backwards through time The.
Susan CartwrightOur Evolving Universe1 The Milky Way n From a dark site the Milky Way can be seen as a broad band across the sky l l What is it?   telescopes.
Cosmological Galaxy Formation
Lecture 18 : Weighing the Universe, and the need for dark matter Recap – Constraints on the baryon density parameter  B The importance of measuring the.
Hot gas in galaxy pairs Olga Melnyk. It is known that the dark matter is concentrated in individual haloes of galaxies and is located in the volume of.
PNe as mass tracers Dark-to-luminous properties of early-type galaxies Nicola R. Napolitano Kapteyn Institute Groningen (NL) ESO workshop: PNe beyond the.
SUNYAEV-ZELDOVICH EFFECT. OUTLINE  What is SZE  What Can we learn from SZE  SZE Cluster Surveys  Experimental Issues  SZ Surveys are coming: What.
Counterrotating core in the LMC: Accretion and/or Merger ? Annapurni Subramaniam Indian Institute of Astrophysics, Bangalore, INDIA (Evidence of a counterrotating.
Galaxy Dynamics Lab 11. The areas of the sky covered by various surveys.
MNRAS, submitted. Galaxy evolution Evolution in global properties reasonably well established What drives this evolution? How does it depend on environment?
Astronomy 404/CSI 769 Extragalactic Astronomy
Subaru Wide-Field Survey of M87 Globular Cluster Populations N.Arimoto (NAOJ) N.Tamura, R.Sharples (Durham) M.Onodera (Tokyo, NAOJ), K.Ohta(Kyoto) J.-C.Cuillandre.
Galactic structure and star counts Du cuihua BATC meeting, NAOC.
Lecture 18 Stellar populations. Stellar clusters Open clusters: contain stars loose structure Globular clusters: million stars centrally.
Copyright © 2010 Pearson Education, Inc. Clicker Questions Chapter 14 The Milky Way Galaxy.
Milky Way thin disk. Q: in order to study the spatial distribution of the thin disk (which dominates the Milky Way luminosity) surface photometry in the.
The Ultra-Faint Milky Way Satellites
On the other hand.... CDM simulations consistently produce halos that are cusped at the center. This has been known since the 1980’s, and has been popularized.
The Gaia-ESO Survey Sofia Randich INAF-Arcetri Survey Co-PIs: Gerry Gilmore & Sofia Randich 350+ Co-Is (mostly from Europe, but not only) 90++ institutes.
Dark Matter and Rotational Motion e.t. revised feb 09.
Problem. What is the distance to the star Spica (α Virginis), which has a measured parallax according to Hipparcos of π abs = ±0.86 mas? Solution.
Intermediate-mass Black Holes in Star Clusters Holger Baumgardt Astrophysical Computing Laboratory, RIKEN, Tokyo new address:
ASTR112 The Galaxy Lecture 4 Prof. John Hearnshaw 7. Globular clusters 8. Galactic rotation 8.1 From halo stars 8.2 From disk stars – Oort’s constant,
1 VLT kinematics for Omega Centauri : Further support for a central BH E. Noyola et al. 2010, ApJ, 719, L Jun 30 (Thu) Sang Chul KIM ( 김상철 )
KASI Galaxy Evolution Journal Club A Massive Protocluster of Galaxies at a Redshift of z ~ P. L. Capak et al. 2011, Nature, in press (arXive: )
Limits on the stellar mass content of galaxies from bar and spiral structure dynamics K.C. Freeman Research School of Astronomy & Astrophysics The Australian.
Investigating the Low- Mass Stellar Initial Mass Function in Draco Soroush Sotoudeh (University of Minnesota) Daniel Weisz, Andrew Dolphin, Evan Skillman.
ASTR112 The Galaxy Lecture 5 Prof. John Hearnshaw 8. Galactic rotation 8.3 Rotation from HI and CO clouds 8.4 Best rotation curve from combined data 9.
Globular Clusters Globular clusters are clusters of stars which contain stars of various stages in their evolution. An H-R diagram for a globular cluster.
The formation of ultra-compact dwarf galaxies and nucleated dwarf galaxies Collaborators: Ben Moore, Stelios Kazantzidis, Tobias Kaufmann, Andrea V. Macciò.
Bayesian analysis of joint strong gravitational lensing and dynamic galactic mass in SLACS: evidence of line-of-sight contamination Antonio C. C. Guimarães.
Pete Kuzma PhD student, Research School of Astronomy and Astrophysics
© 2017 Pearson Education, Inc.
William E. Harris McMaster University
The Milky Way Galaxy 1/30/03.
Lecture 18 : Weighing the Universe, and the need for dark matter
Yongmin Yoon, Myungshin Im, Gwang-ho Lee, Gu Lim, and Seong-kook Lee
Modeling the Extended Structure of Dwarf Spheroidals (Carina, Leo I)
Presentation transcript:

Dynamics of the outer parts of  Centauri Gary Da Costa Mt Stromlo Observatory, Research School of Astronomy & Astrophysics, Australian National University

Research School of Astronomy & Astrophysics  Centauri has been known to be an unusual stellar system for almost 4 decades. Unlike most (but not all!) globular clusters its member stars possess a large range in heavy element abundance and show distinctive element-to-iron abundance ratios. There is also evidence for a range in Helium abundance and for an age spread of order ~2 Gyr.

Research School of Astronomy & Astrophysics These characteristics have led to the suggestion that  Centauri has not evolved in isolation but is instead the nuclear remnant of a now disrupted nucleated dwarf galaxy that has been accreted by the Milky Way. Despite the tightly bound (apo- and peri-Galactic distances of 6.2 and 1.2 kpc) and retrograde current orbit of  Cen, Bekki and Freeman have shown that this disruption/accretion process is dynamically plausible. Figure from Bekki & Freeman (2003)

Research School of Astronomy & Astrophysics The spectroscopic survey of Da Costa & Coleman (2008) showed that there is little evidence for any significant extra- tidal population surrounding  Cen at the present day - gave an upper limit of 0.7% for the fraction of the cluster mass contained between 1 and 2 tidal radii. Requires the stripping process to be largely complete at early epochs. Stars from the disrupted dwarf galaxy are now widely distributed around the Galaxy. Figure from Da Costa & Coleman (2008)

Research School of Astronomy & Astrophysics While the nucleosynthetic history of  Cen is complicated and not fully understood, the dynamics of the present day stellar system, at least for the part of the cluster containing most of the stellar mass, are relatively well established. There have been a number of models of the system (e.g. Meylan 1987, Meylan et al 1995, Merritt et al 1997, Giersz & Heggie 2003, van der Marel & Anderson 2010) which, within their assumptions, reproduce well the observational data. The most detailed model is that of van de Ven et al (2006). This axisymmetric model, which includes rotation and radially varying anisotropy, suggests no change in M/L with radius, at least within the inner parts.

Research School of Astronomy & Astrophysics Necessary to keep in mind that models of van de Ven et al (2006), for example, fit, and are constrained by, the available observational data. In the case of the velocity dispersion profile, the data have been limited, until recently, to a radius of about 20’ from the cluster centre, less than half the ‘tidal’ radius of ~57’. And the outer parts may well contain some interesting astrophysics… For example, if  Cen is a nuclear remnant, then it is possible that it has retained some of the dark matter content of the original dwarf. The best place to constrain the dark matter content is in the outer parts where the stellar densities are low. Further, it appears that the line-of-sight velocity dispersion profile beyond ~20’ may be relatively flat, rather than declining as expected.

Research School of Astronomy & Astrophysics Currently, there are two studies of the velocity dispersion beyond ~20’ - Sollima et al (2009), based on a VLT/FLAMES radial velocity survey, and Scarpa & Falomo (2010) which combines the Sollima et al (2009) data with the earlier data of Scarpa et al (2003). Sollima et al (2009) conclude that a simple dynamical model in which mass follows light, within classical Newtonian theory of gravitation, can reproduce the available data. Scarpa & Falomo (2010) conclude “the cluster velocity dispersion at large radii is found to clearly deviate from the Newtonian prediction” and “best explained by a breakdown of Newtonian dynamics below a critical acceleration”. The combined sample contains ~100 stars between 22’ and 30’ but only a dozen or so beyond 30’ (~0.5 x ‘tidal’ radius).

Research School of Astronomy & Astrophysics To add further information into this debate, I’ve used the AAOmega multi-fibre spectrograph at the AAT to identify additional outer members of  Cen, particularly beyond 30’ from the cluster centre. Note on why this isn’t easy…  Cen is at low Galactic latitude so field contamination is high to begin with. Cluster star density drops by factor of 5x between 20’ and 30’ and by a further factor of 10x between 30’ and 40’, while the area that needs to be surveyed goes up by r 2, as does the number of contaminating non-members (uniformly distributed). Extensive survey only feasible with instrument like AAOmega which allows up to 400 candidates per observation over 1 deg radius field.

Research School of Astronomy & Astrophysics The one degree radius of AAOmega field-of- view is conveniently matched to the size of the area to be surveyed - so observe multiple configurations centered on the cluster. Red arm of the bench mounted double beam spectrograph configured with 1700D grating centred at Ca triplet. Spectra have scale of 8.5 kms -1 /pix at 8600Å.

Research School of Astronomy & Astrophysics Two samples observed: 20 < r’ < 30 - known cluster members from Da Costa & Coleman (2008). 101 stars. 30 < r’ < 60 - known members plus unobserved candidates from Da Costa & Coleman (2008) (15.4 < V < 16.75) plus fainter candidates from same photometry set (16.75 < V < 17.2). Velocities determined via cross-correlation with spectrum of a radial velocity standard template. Typical precision of <1.5 kms -1 from repeat observations. Despite less than ideal weather, about 2000 candidates observed over 3 nights. For candidate  Cen members, heliocentric velocities corrected for perspective rotation before analysis.

Research School of Astronomy & Astrophysics Results:

Research School of Astronomy & Astrophysics Results - using all stars in the kms -1 window Red points are new determinations from the AAOmega observations.  (los) calculated using maximum likelihood technique. Numbers of stars and width of each annulus shown. Agreement with other data is excellent in region of overlap. Open circles: Sollima et al. (2009); Triangles: Scarpa et al. (2003); Diamonds:  (los) from van de Ven (2006).

Research School of Astronomy & Astrophysics Results - using all stars in the kms -1 window As an illustration of “expected” profile, the blue curve shows  (los) for a simple King (1966) model scaled with a central  (los) of 15 kms -1 and scale (core) radius of 2.6’. Like more sophisticated models, the fit is acceptable out to r ~ 25’ but not beyond.

Research School of Astronomy & Astrophysics But is it reasonable to assume that all the stars in the kms -1 window are cluster members? Probably not! Remember that the cluster surface density profile is dropping rapidly with radius while the field star surface density is constant. Estimated the contamination as follows: at position of  Cen a galactic rest frame velocity of zero corresponds to 167 kms -1. Assume then that the 10 stars between 160 and 200 kms -1 and 30’-60’ are halo objects with a dispersion of 100 kms -1. This then allows us to predict the number of interloping halo objects in the kms -1 interval.

Research School of Astronomy & Astrophysics For each annulus we then have for kms -1 : Annulus N obs Predicted haloN halo 30’-33’280.6 ± 0.21, not 2 33’-36’140.6 ± 0.21, not 2 36’-40’160.9 ± 0.31, perhaps 2 40’-46’141.6 ± 0.52 or 3, not 4 46’-57’ 63.5 ± 1.1maybe all 6! So the first conclusion is that can’t place any weight on the observed  (los) for the outermost annulus, as the contamination is dominant. But for the others the contamination is negligible or minor…

Research School of Astronomy & Astrophysics While we now have an estimate of the contamination, it doesn’t tell us which star or stars to reject. So, as an exercise, looked at outcome of removing the expected number in such a way as to reduce the dispersion as much as possible. So if… 30’-33’: drop lowest velocity star 33’-36’: drop lowest velocity star 36’-40’: drop lowest and highest 40’-46’: drop lowest and two highest

Research School of Astronomy & Astrophysics Outcome: Star symbols represent  (los) values if we choose the contamination to reduce the dispersion as much as possible. Could argue that now see  (los) decreasing as expected, but reality probably lies between the red dots and the purple stars…

Research School of Astronomy & Astrophysics Conclusions: Actual velocity dispersion profile for  Cen is probably flatter beyond ~25’ than the predictions of models that reproduce the dynamics of the inner regions, where most of the mass lies. But what does that mean? The answer lies in remembering that  Cen is not an isolated system. It is moving in a varying Galactic potential on its orbit (apo- and peri-Galactic distances of 6.2 and 1.2 kpc), crossing the disk twice every 120 Myr. Each time it crosses the Galactic plane the ‘disk-shocking’ impulse adds energy to the outer parts of the cluster. Indeed using the parameters of the van de Ven et al (2006) model can show that the average change in a star’s velocity |  v|as a result of a Galactic plane crossing is of the same order as the dispersion (~6 kms -1 ) at a radius of ~ ’.

Research School of Astronomy & Astrophysics Conclusions: In other words, as previously suggested by van de Ven et al. (2006) and Sollima et al. (2009), the dynamics of the outer parts of  Cen, where there is but a small fraction of the total mass, are dominated by external influences. What’s needed, if you want to enquire as to whether there is any evidence for dark matter in the outer parts of the system for example, is a full model of the presumably quasi- equilibrium process (system has made many 10’s of orbits) in which the cluster orbits in the varying potential of the Galaxy and suffers ‘disk-shocking’ as it crosses the Galactic plane. Some steps along these lines were made by Sollima et al (2009) who showed in a N-body model simulation that the velocity dispersion profile is indeed raised above that of isolated model.

Research School of Astronomy & Astrophysics Blue circled plus-signs are the surface densities for the members in the 20’- 22’, 22’-25’ and 25’-30’ annuli. Since they come from the Da Costa & Coleman (2008) sample they should lie on the profile, which they do. The purple diamonds are the background corrected surface densities for the 30’-33’, 33’-36’, 36’-40’ and 40’-46’ annuli (and kms -1 ). Since the sample includes fainter stars, points lie above profile but clear that with a single offset they’d also fit the profile. This implies no significant error in the assumed contamination estimate.

Research School of Astronomy & Astrophysics Results: The upper panel shows the photometry for the 101 stars between 20’ and 30’ in the velocity range kms -1 (i.e., cluster mean ±20kms -1 ) while lower panel shows the 78 outer sample stars in this velocity range. Isochrones are from the Dartmouth models (Dotter et al 2008) for an age of 13 Gyr, [Fe/H] values of -2.0, -1.5, -1.0 and -0.5 with [  /Fe] = +0.4 for the first three and +0.2 for the most metal-rich. Used (m-M) V = and E(V-I)=0.16