Lensing Basics: III. Basic Theory (continued)

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Lensing Basics: III. Basic Theory (continued) Sherry Suyu Academia Sinica Institute of Astronomy and Astrophysics University of California Santa Barbara KIPAC, Stanford University November 6, 2012 @ XXIV Canary Islands Winter School of Astrophysics

Recap: image classifications Ordinary (det A 0) images occur at i.e., images are local extrema or saddles of Fermat surface (Fermat s Principle) for fixed β. Note τ ij = A ij. Image types: Type I: minimum of τ det A > 0; tr A > 0 Type II: saddle point of τ det A < 0 Type III: maximum of τ det A > 0; tr A < 0 For mass distributions of finite total mass and that are smooth, there will be at least one Type I image. I II III [Blandford & Narayan 1986] I II 2

Odd-number theorem Given smooth κ( θ) that decreases faster than θ -2 for θ Then lens has finite total mass, α(θ) continuous and bounded Denote n I, n II, n III = # of Type I, II, III images, respectively n = n I + n II + n III = total # of images For source at position β not on a caustic, I (a) n I 1 (b) n < II III (c) n I + n III = 1 + n II I (d) For sufficiently large β, n = n I = 1 II Therefore, total number of images n = 1 + 2n II is odd images of positive parity (type I & III) exceed negative parity (type II) by 1 [Burke 1981] n > 1 if and only if n 3 II 1 [Blandford &Narayan 1986]

Magnification theorem Given smooth κ( θ) that decreases faster than θ -2 for θ Then lens has finite total mass, α(θ) continuous and bounded Denote n I, n II, n III = # of Type I, II, III images, respectively n = n I + n II + n III = total # of images For source at position β not on a caustic, (a) n I 1 (b) n < (c) n I + n III = 1 + n II (d) For sufficiently large β, n = n I = 1 The image of the source which arrives first at the observer is of type I and appears brighter than, or equally bright as the source would appear in the absence of the lens [Schneider 1984] I II III I II 4 [Blandford &Narayan 1986]

Conditions for multiple imaging (a) An isolated transparent lens can produce multiple images if and only if there is a point θ with det A(θ) < 0 (b) A sufficient (but not necessary) condition for possible multiple images is that there exists a point θ such that κ(θ) > 1 Recall κ = Σ / Σ crit Significance of the critical density Σ crit 5

Conditions for multiple imaging Question: A mass distribution has κ(θ) < 1 everywhere. Can it be a strong gravitational lens? (1) Yes (2) No 6

Mass-sheet degeneracy I Given a lens mass distribution κ(θ) with potential ψ(θ) Consider the following transformation: corresponding to constant shift on source plane (unobservable) zero point of lens potential (unobservable) Transformed deflection angle (= ψ λ ): Transformed convergence (= 2 ψ λ /2): 7

Last slide: Mass-sheet degeneracy II Lens equation: 8 source scaled and shifted, both unobservable degeneracy

Mass-sheet degeneracy III Magnification source scaled and shifted, both effects unobservable Recall Reduced shear invariant 9

Mass-sheet degeneracy IV Fermat potential: Recall Big impact on cosmography! Recall For fixed Δt, model [Courbin et al. 2002] 10 True (including external convergence)

Mass-sheet degeneracy V To break the degeneracy: need the absolute size or luminosity of source (unpractical) stellar kinematics study of the lens environment θ eff θ Einstein 11

Simple Lens Models

Recap of Lecture II Given a mass distribution ρ(r) κ(θ) [convergence] α(θ) [scaled deflection angle] lens equation ψ(θ) [lens potential] [Schneider et al. 2006] [Fermat potential] 13

Axisymmetric mass distributions I Axisymmetric mass distribution: Recall For axisymmetric mass distribution: [Exercise: derive the above equation] Note: α is collinear with θ. lens equation, β = θ - α, implies β is also collinear with α 14

Axisymmetric mass distributions II Define and Lens equation reduces to 1-d: Note Define mean surface mass density inside circular radius θ: with the dimensionless mass inside θ 15

Axisymmetric mass distributions III Lens equation rewritten as Using, derive [exercise] critical curves are defined by det A = 0 Tangential critical curve: Radial critical curve: 16

Axisymmetric mass distributions III Lens equation rewritten as Using, derive [exercise] Tangential critical curve: Radial critical curve: Credit: A. Amara & T. Kitching 17

Axisymmetric mass distributions IV Tangential critical curve at radius θ E has Mass enclosed within θ E is Rewriting: Mass scale sets radius of tangential critical curve, which is approximately the location of tangential arcs 18

Singular isothermal sphere I 3 dimensional mass density of SIS: Leads to flat rotation curve with rotation velocity Surface mass density: Dimensionless surface mass density where 19

Singular isothermal sphere II Properties where [exercise: derive these] Question: Which of the following is true regarding (1) It corresponds to the radial critical curve (2) It corresponds to the tangential critical curve (3) Neither of the above is true 20

Singular isothermal sphere III Lens equation with Question: Which source positions have multiple images? (1) β > 0 (2) β > θ E (3) -θ E < β < θ E (4) β < -θ E (5) β < 0 (6) No idea 21

Singular isothermal sphere III Lens equation with β two Question: Which source positions have multiple images? (1) β > 0 (2) β > θ E (3) -θ E < β < θ E (4) β < -θ E (5) β < 0 (6) No idea 22

Singular isothermal sphere IV Lens equation with β two Question: What is the separation between the two images when -θ E < β < θ E? (1) θ E /2 (2) θ E (3) 2θ E (4) None of the above since the image separation depends on β 23

Singular isothermal sphere V For -θ E < β < θ E, the two images are at θ + θ - [Wambsganss 1998] β two θ - θ + Magnification: image at θ can be highly demagnified as θ 0, or 24 β θ E

Non-singular isothermal sphere with external shear Solid curve: caustics [Schneider et al. 2006] Dashed curve: critical curve Solid symbols: source position Open symbols: Image positions x c characterizes the core size 25

Non-singular isothermal ellipsoid strength core radius axis ratio of isodensity contour f=0.8 [Kormann et al. 1994] larger core isothermal elliptical distributions can produce 4 images (quads) 26