The Asymmetric Drift, the Local Standard of Rest, and Implications from RAVE Data
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Correcting for Peculiar Velocities of Type Ia Supernovae in Clusters of Galaxies P.-F
A&A 615, A162 (2018) Astronomy https://doi.org/10.1051/0004-6361/201832932 & © ESO 2018 Astrophysics Correcting for peculiar velocities of Type Ia supernovae in clusters of galaxies P.-F. Léget1,2, M. V. Pruzhinskaya1,3, A. Ciulli1, E. Gangler1, G. Aldering4, P. Antilogus5, C. Aragon4, S. Bailey4, C. Baltay6, K. Barbary4, S. Bongard5, K. Boone4,7, C. Buton8, M. Childress9, N. Chotard8, Y. Copin8, S. Dixon4, P. Fagrelius4,7, U. Feindt10, D. Fouchez11, P. Gris1, B. Hayden4, W. Hillebrandt12, D. A. Howell13,14, A. Kim4, M. Kowalski15,16, D. Kuesters15, S. Lombardo15, Q. Lin17, J. Nordin15, R. Pain5, E. Pecontal18, R. Pereira8, S. Perlmutter4,7, D. Rabinowitz6, M. Rigault1, K. Runge4, D. Rubin4,19, C. Saunders5, L.-P. Says1, G. Smadja8, C. Sofiatti4,7, N. Suzuki4,22, S. Taubenberger12,20, C. Tao11,17, and R. C. Thomas21 THE NEARBY SUPERNOVA FACTORY 1 Université Clermont Auvergne, CNRS/IN2P3, Laboratoire de Physique de Clermont, 63000 Clermont-Ferrand, France e-mail: [email protected] 2 Kavli Institute for Particle Astrophysics and Cosmology, Department of Physics, Stanford University, Stanford, CA 94305, USA 3 Lomonosov Moscow State University, Sternberg Astronomical Institute, Universitetsky pr. 13, Moscow 119234, Russia 4 Physics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA 5 Laboratoire de Physique Nucléaire et des Hautes Énergies, Université Pierre et Marie Curie Paris 6, Université Paris Diderot Paris 7, CNRS-IN2P3, 4 place Jussieu, 75252 Paris Cedex 05, France 6 Department of -
Measuring the Velocity Field from Type Ia Supernovae in an LSST-Like Sky
Prepared for submission to JCAP Measuring the velocity field from type Ia supernovae in an LSST-like sky survey Io Odderskov,a Steen Hannestada aDepartment of Physics and Astronomy University of Aarhus, Ny Munkegade, Aarhus C, Denmark E-mail: [email protected], [email protected] Abstract. In a few years, the Large Synoptic Survey Telescope will vastly increase the number of type Ia supernovae observed in the local universe. This will allow for a precise mapping of the velocity field and, since the source of peculiar velocities is variations in the density field, cosmological parameters related to the matter distribution can subsequently be extracted from the velocity power spectrum. One way to quantify this is through the angular power spectrum of radial peculiar velocities on spheres at different redshifts. We investigate how well this observable can be measured, despite the problems caused by areas with no information. To obtain a realistic distribution of supernovae, we create mock supernova catalogs by using a semi-analytical code for galaxy formation on the merger trees extracted from N-body simulations. We measure the cosmic variance in the velocity power spectrum by repeating the procedure many times for differently located observers, and vary several aspects of the analysis, such as the observer environment, to see how this affects the measurements. Our results confirm the findings from earlier studies regarding the precision with which the angular velocity power spectrum can be determined in the near future. This level of precision has been found to imply, that the angular velocity power spectrum from type Ia supernovae is competitive in its potential to measure parameters such as σ8. -
Peculiar Transverse Velocities of Galaxies from Quasar Microlensing
Peculiar Transverse Velocities of Galaxies from Quasar Microlensing. Tentative Estimate of the Peculiar Velocity Dispersion at z ∼ 0:5 E. MEDIAVILLA1;2, J. JIMENEZ-VICENTE´ 3;4, J. A. MUNOZ~ 5;6, E. BATTANER3;4 ABSTRACT We propose to use the flux variability of lensed quasar images induced by gravitational microlensing to measure the transverse peculiar velocity of lens galaxies over a wide range of redshift. Microlensing variability is caused by the motions of the observer, the lens galaxy (including the motion of the stars within the galaxy), and the source; hence, its frequency is directly related to the galaxy's transverse peculiar velocity. The idea is to count time-event rates (e.g., peak or caustic crossing rates) in the observed microlensing light curves of lensed quasars that can be compared with model predictions for different values of the transverse peculiar velocity. To compensate for the large time- scale of microlensing variability we propose to count and model the number of events in an ensemble of gravitational lenses. We develop the methodology to achieve this goal and apply it to an ensemble of 17 lensed quasar systems . In spite of the shortcomings of the available data, we have obtained tentative estimates of the peculiar velocity dispersion of lens galaxies at z ∼ 0:5, σpec(0:53± p −1 0:18) ' (638 ± 213) hmi=0:3M km s . Scaling at zero redshift we derive, p −1 σpec(0) ' (491 ± 164) hmi=0:3M km s , consistent with peculiar motions of nearby galaxies and with recent N-body nonlinear reconstructions of the Local Universe based on ΛCDM. -
Lecture 10 Milky Way II
Measuring Structure of the Galaxy • To invert the measured distribution of stars One needs to make a lot – A(m,l,b): # of stars at an of 'corrections' the biggest one apparent mag m, at galactic is due to extinction so one coordinates l,b per sq degree does not repeat Herschel's error! per unit mag. – N(m,l,b): cumulative # of stars with mag < m, at galactic coordinates l,b per sq degree per unit mag. N(m,l,b)=∫ A(m',l,b) dm Into a true 3-D structure 36 Need to Measure Extinction Accurately 37 APOGEE Results • Metallicity across the Milky Way • An example of the fine grain knowledge now being obtained. 38 Gaia Capability • Gaia will survey ~1/4 of the MW (Luri and Robin) 39 Early GAIA Results • Proper motions in the M67 star cluster-accuracies of ~5mas/year (5x10-9 radians/year or 4.3x10-5 pc/year (42 km/sec- 2.5x the speed of the earth around the sun) at distance of M67 ) 40 MW II • Use of gas (HI) to trace velocity field and thus mass of the disk (discuss a bit of the geometry details in the next lecture) – dependence on distance to center of MW • properties of MW (e.g. mass of components) • Cosmic Rays – only directly observable in MW • Start of dynamics 41 Timescales 7 • crossing time tc=2R/σ∼5x10 yrs (R10kpc/v200) • dynamical time td=sqrt(3π/16Gρ)- related to the orbital time; assumption homogenous sphere of density ρ • Relaxation time- the time for a system to 'forget' its initial conditions S+G (eq. -
The Distance to Ngc 4993: the Host Galaxy of the Gravitational-Wave Event Gw170817
DRAFT VERSION OCTOBER 17, 2017 Typeset using LATEX twocolumn style in AASTeX61 THE DISTANCE TO NGC 4993: THE HOST GALAXY OF THE GRAVITATIONAL-WAVE EVENT GW170817 JENS HJORTH,1 ANDREW J. LEVAN,2 NIAL R. TANVIR,3 JOE D. LYMAN,2 RADOSŁAW WOJTAK,1 SOPHIE L. SCHRØDER,1 ILYA MANDEL,4 CHRISTA GALL,1 AND SOFIE H. BRUUN1 1Dark Cosmology Centre, Niels Bohr Institute, University of Copenhagen, Juliane Maries Vej 30, DK-2100 Copenhagen Ø, Denmark 2Department of Physics, University of Warwick, Coventry, CV4 7AL, UK 3Department of Physics and Astronomy, University of Leicester, LE1 7RH, UK 4Birmingham Institute for Gravitational Wave Astronomy and School of Physics and Astronomy, University of Birmingham, Birmingham, B15 2TT, UK (Received 2017 September 29; Revised revised 2017 October 2; Accepted 2017 October 3; published 2017 October 16) ABSTRACT The historic detection of gravitational waves from a binary neutron star merger (GW170817) and its electromagnetic counter- part led to the first accurate (sub-arcsecond) localization of a gravitational-wave event. The transient was found to be ∼1000 from the nucleus of the S0 galaxy NGC 4993. We report here the luminosity distance to this galaxy using two independent methods. (1) Based on our MUSE/VLT measurement of the heliocentric redshift (zhelio = 0:009783 ± 0:000023) we infer the systemic re- cession velocity of the NGC 4993 group of galaxies in the cosmic microwave background (CMB) frame to be vCMB = 3231 ± 53 -1 -1 km s . Using constrained cosmological simulations we estimate the line-of-sight peculiar velocity to be vpec = 307±230 km s , -1 resulting in a cosmic velocity of vcosmic = 2924 ± 236 km s (zcosmic = 0:00980 ± 0:00079) and a distance of Dz = 40:4 ± 3:4 Mpc -1 -1 assuming a local Hubble constant of H0 = 73:24 ± 1:74 km s Mpc . -
AY 20 Fall 2010
AY 20 Fall 2010 Structure & Morphology of the Milky Way Reading: Carroll & Ostlie, Chapter 24.2, 24.3 Galactic Structure cont’d: distribution of each population related to orbital characteristics thin disk <102 Myrs, thick disk 2-10 Gyrs scale heights ` 100-350 pc, 1 kpc resp. Sun in thin disk ~ 30 pc above plane number density of stars in thick disk 25 kpc radius <10% that in thin disk stars in thick disk older 100 kpc radius star formation continuing in thin disk From star counts & kinematics: 10 thin disk: mass ~ 6.5x10 Mʘ 4 kpc radius 10 LB = 1.8x 10 Lʘ 8 thick disk: LB = 2x10 Lʘ (much fainter) 9 mass ~ 2-4 x 10 Mʘ H2, cool dust: 3-8 kpc from GC HI: 3 – 25 kpc mass ~ 4 x 109 M mass ~ 109 M HI ʘ H2 ʘ neutral gas also a disk component; * scale height HI increases beyond 12 radius ~25 kpc, age < 10 Gyrs kpc radius to 900 pc 2 scale height < 100 pc*, Shape of each population depends on orbital characteristics. Note also a range of metallicities age-metallicity relation not a simple correlation! Abundance of iron (Fe) - product of type 1a SN – correlates w. star age NFe ()N star Fe log H H ()NFe indicates “metallicity” Adopt [Fe/H] = 0 for Sun NH For more metal rich stars [Fe/H] +ve; metal poorer [Fe/H] -ve Not entirely 1 to 1 correlation – iron production small and may be local [O/H] from core collapse SNs may be more accurate (occur sooner than type Ia) 3 N.B. -
High-Drag Interstellar Objects and Galactic Dynamical Streams
Draft version March 25, 2019 Typeset using LATEX twocolumn style in AASTeX62 High-Drag Interstellar Objects And Galactic Dynamical Streams T.M. Eubanks1 1Space Initiatives Inc, Clifton, Virginia 20124 (Received; Revised March 25, 2019; Accepted) Submitted to ApJL ABSTRACT The nature of 1I/’Oumuamua (henceforth, 1I), the first interstellar object known to pass through the solar system, remains mysterious. Feng & Jones noted that the incoming 1I velocity vector “at infinity” (v∞) is close to the motion of the Pleiades dynamical stream (or Local Association), and suggested that 1I is a young object ejected from a star in that stream. Micheli et al. subsequently detected non-gravitational acceleration in the 1I trajectory; this acceleration would not be unusual in an active comet, but 1I observations failed to reveal any signs of activity. Bialy & Loeb hypothesized that the anomalous 1I acceleration was instead due to radiation pressure, which would require an extremely low mass-to-area ratio (or area density). Here I show that a low area density can also explain the very close kinematic association of 1I and the Pleiades stream, as it renders 1I subject to drag capture by interstellar gas clouds. This supports the radiation pressure hypothesis and suggests that there is a significant population of low area density ISOs in the Galaxy, leading, through gas drag, to enhanced ISO concentrations in the galactic dynamical streams. Any interstellar object entrained in a dynamical stream will have a predictable incoming v∞; targeted deep surveys using this information should be able to find dynamical stream objects months to as much as a year before their perihelion, providing the lead time needed for fast-response missions for the future in situ exploration of such objects. -
Introduction to Cosmology (SS 2014 Block Course) Lecturers: Markus P¨Ossel& Simon Glover
1 FORMATION OF STRUCTURE: LINEAR REGIME 1 Introduction to Cosmology (SS 2014 block course) Lecturers: Markus P¨ossel& Simon Glover 1 Formation of structure: linear regime • Up to this point in our discussion, we have assumed that the Universe is perfectly homogeneous on all scales. However, if this were truly the case, then we would not be here in this lecture theatre. • We know that in reality, the Universe is highly inhomogeneous on small scales, with a considerable fraction of the matter content locked up in galaxies that have mean densities much higher than the mean cosmological matter density. We only recover homogeneity when we look at the distribution of these galaxies on very large scales. • The extreme smoothness of the CMB tells us that the Universe must have been very close to homogeneous during the recombination epoch, and that all of the large-scale structure that we see must have formed between then and now. • In this section and the next, we will review the theory of structure formation in an expanding Universe. We start by considering the evolution of small perturbations that can be treated using linear perturbation theory, before going on to look at which happens once these perturbations become large and linear theory breaks down. 1.1 Perturbation equations • We start with the equations of continuity @ρ + r~ · (ρ~v) = 0; (1) @t momentum conservation (i.e. Euler's equation) @~v r~ p + ~v · r~ ~v = − + r~ Φ (2) @t ρ and Poisson's equation for the gravitational potential Φ: r2Φ = 4πGρ. (3) • We next split up the density and velocity in their homogeneous background values ρ0 and ~v0 and small perturbations δρ, δ~v. -
Deriving Accurate Peculiar Velocities (Even at High Redshift)
Mon. Not. R. Astron. Soc. 000, 000–000 (2014) Printed 28 May 2014 (MN LATEX style file v2.2) Deriving accurate peculiar velocities (even at high redshift) Tamara M. Davis1,⋆ and Morag I. Scrimgeour2,3 1School of Mathematics and Physics, University of Queensland, QLD 4072, Australia 2Department of Physics and Astronomy, University of Waterloo, Waterloo, ON N2L 3G1, Canada 3Perimeter Institute for Theoretical Physics, 31 Caroline Street North, Waterloo, ON N2L 2Y5, Canada Accepted 2014 May 5. Received 2014 May 1; in original form 2014 April 1 ABSTRACT The way that peculiar velocities are often inferred from measurements of distances and redshifts makes an approximation, vp = cz − H0D, that gives significant errors −1 even at relatively low redshifts (overestimates by ∆vp ∼100 kms at z ∼ 0.04). Here we demonstrate where the approximation breaks down, the systematic offset it introduces, and how the exact calculation should be implemented. Key words: cosmology – peculiar velocities. 1 INTRODUCTION in major compilations of peculiar velocity data such as Cosmicflows-2 (Tully et al. 2013). Peculiar velocities can be a useful cosmological probe, as they are sensitive to the matter distribution on large scales, This formula contains the approximation that, vapprox = cz, and can test the link between gravity and matter. As pecu- which fails at high redshift. This has been pointed out liar velocity measurements are getting more numerous, more in the past (e.g. Faber & Dressler 1977; Harrison 1974; accurate, and stretching to higher redshift, it is important Lynden-Bell et al. 1988; Harrison 1993; Colless et al. 2001), that we examine the assumptions made in the derivation but since many recent papers still use the approximation, of peculiar velocity from measurements of redshift and dis- and because several major peculiar velocity surveys are im- tance. -
Letter of Interest Probing Gravity with Type Ia Supernova Peculiar Velocities
Snowmass2021 - Letter of Interest Probing Gravity with Type Ia Supernova Peculiar Velocities Thematic Areas: (check all that apply /) (CF1) Dark Matter: Particle Like (CF2) Dark Matter: Wavelike (CF3) Dark Matter: Cosmic Probes (CF4) Dark Energy and Cosmic Acceleration: The Modern Universe (CF5) Dark Energy and Cosmic Acceleration: Cosmic Dawn and Before (CF6) Dark Energy and Cosmic Acceleration: Complementarity of Probes and New Facilities (CF7) Cosmic Probes of Fundamental Physics (Other) [Please specify frontier/topical group] Contact Information: Submitter Name/Institution: Alex G. Kim / Lawrence Berkeley National Laboratory Contact Email: [email protected] Abstract: In the upcoming decade cadenced wide-field imaging surveys will increase the number of iden- tified Type Ia supernovae (SNe Ia) at z < 0:2 from hundreds up to one hundred thousand. The increase in the number density and solid-angle coverage of SNe Ia, in parallel with improvements in the standardization of their absolute magnitudes, now make them competitive probes of the growth of structure and hence of gravity. Each SN Ia can have a peculiar velocity S=N ∼ 1 with the distance probative power of 30 − 40 galaxies, so a sample of 100,000 SNe Ia is equivalent to a survey of 3 million galaxies, in a redshift range where we currently have .100,000 galaxies. The peculiar velocity power spectrum is sensitive to the effect of gravity on the linear growth of structure. In the next decade the peculiar velocities of SNe Ia at z < 0:2 can distinguish between General Relativity and leading models of alternative gravity at 4-5σ confidence. These constraints have the same statistical significance as those from DESI or Euclid, but are measured essentially at a given cosmic time rather than averaged over a broad range z ∼ 1 − 2, and at low redshift where modifications of gravity may be most apparent. -
THE GROWTH RATE of COSMIC STRUCTURE from PECULIAR VELOCITIES at LOW and HIGH REDSHIFTS Michael J
ApJ Letters, in press. Preprint typeset using LATEX style emulateapj v. 5/2/11 THE GROWTH RATE OF COSMIC STRUCTURE FROM PECULIAR VELOCITIES AT LOW AND HIGH REDSHIFTS Michael J. Hudson1 and Stephen J. Turnbull Dept. of Physics and Astronomy, University of Waterloo, Waterloo, Ontario, Canada. ApJ Letters, in press. ABSTRACT Peculiar velocities are an important probe of the growth rate of mass density fluctuations in the Universe. Most previous studies have focussed exclusively on measuring peculiar velocities at inter- mediate (0:2 < z < 1) redshifts using statistical redshift-space distortions. Here we emphasize the power of peculiar velocities obtained directly from distance measurements at low redshift (z < 0:05), and show that these data break the usual degeneracies in the Ωm;0{ σ8;0 parameter space. Using∼ only peculiar velocity data, we find Ωm;0 = 0:259 0:045 and σ8;0 = 0:748 0:035. Fixing the amplitude of fluctuations at very high redshift using observations± of the Cosmic Microwave± Background (CMB), the same data can be used to constrain the growth index γ, with the strongest constraints coming from peculiar velocity measurements in the nearby Universe. We find γ = 0:619 0:054, consistent with ΛCDM. Current peculiar velocity data already strongly constrain modified gravity± models, and will be a powerful test as data accumulate. 1. INTRODUCTION There are two ways to measure peculiar velocities. The In the standard cosmological model, the Universe is first method is statistical: given a galaxy redshift survey, dominated by cold dark matter combined with a cos- the distortion of the power spectrum or correlation func- mological constant or dark energy (ΛCDM). -
Lecture 7 24 Sep 2010 Outline
Astronomy 330 Lecture 7 24 Sep 2010 Outline Review Counts: A(m), Euclidean slope, Olbers’ paradox Stellar Luminosity Function: Φ(M,S) Structure of the Milky Way: disk, bulge, halo Milky Way kinematics Rotation and Oort’s constants Euclidean slope = Solar motion 0.6m Disk vs halo ) What would A(m An example this imply? log m Review: Galactic structure Stellar Luminosity Function: Φ What does it look like? How do you measure it? What’s Malmquist Bias? Modeling the MW Exponential disk: ρdisk ~ ρ0exp(-z/z0-R/hR) (radially/vertically) -3 Halo – ρhalo ~ ρ0r (RR Lyrae stars, globular clusters) See handout – Benjamin et al. (2005) Galactic Center/Bar Galactic Model: disk component 10 Ldisk = 2 x 10 L (B band) hR = 3 kpc (scale length) z0 = (scale height) round numbers! = 150 pc (extreme Pop I) = 350 pc (Pop I) = 1 kpc (Pop II) Rmax = 12 kpc Rmin = 3 kpc Inside 3 kpc, the Galaxy is a mess, with a bar, expanding shell, etc… Galactic Bar Lots of other disk galaxies have a central bar (elongated structure). Does the Milky Way? Photometry – what does the stellar distribution in the center of the Galaxy look like? 2 2 2 2 2 2 2 Bar-like distribution: N = N0 exp (-0.5r ), where r = (x +y )/R + z /z0 Observe A(m) as a function of Galactic coordinates (l,b) Use N as an estimate of your source distribution: counts A(m,l,b) appear bar-like Sevenster (1990s) found overabundance of OH/IR stars in 1stquadrant. Asymmetry is also seen in RR Lyrae distribution.