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Strigari, Bullock & Kaplinghat (2007)

San Diego State University

Abstract (paraphrased)

Strigari, Bullock & Kaplinghat show that adding stellar proper motions to the standard line-of-sight (LOS) velocity-dispersion data of a dwarf spheroidal (dSph) galaxy is a powerful probe of the dark-matter density profile. Allowing for a general (six-parameter) halo density profile and a constant stellar velocity anisotropy β\beta, they forecast (via a 6×66\times6 Fisher matrix) that the log-slope of the dark-matter density at about twice the stellar core (King) radius, r2rKingr_\star \simeq 2 r_{\rm King}, can be measured to within ±0.2\pm0.2 once the proper motions of \sim200 stars are combined with \sim1000 LOS velocities — a factor of \sim5 better than LOS data alone. The key physics is a manifest degeneracy between β\beta and the log-slope in the LOS dispersion that is broken by the tangential information carried in the two on-sky proper-motion components. For progenax, the load-bearing content is §2 “Mass Modeling”, where they write the three observable projected dispersions — one LOS and two proper-motion — as projections of the 3-D radial dispersion σr(r)\sigma_r(r), generalising the line-of-sight Jeans projection of Binney & Mamon (1982) to the proper-motion channels.

The load-bearing equations (verified against the paper, §2, p. L2)

The 3-D velocity is decomposed (§2, p. L1) into line-of-sight (vlos=vrcosθ+vθsinθv_{\rm los} = v_r\cos\theta + v_\theta\sin\theta) and the two in-sky components parallel and tangential to the projected radius vector RR: vR=vrsinθ+vθcosθv_R = v_r\sin\theta + v_\theta\cos\theta (on-sky radial) and vt=vϕv_t = v_\phi (on-sky tangential). The dispersions are σi2vi2\sigma_i^2 \equiv \langle v_i^2\rangle, with σϕ2=σθ2\sigma_\phi^2 = \sigma_\theta^2 assumed. Solving the Jeans equation for the 3-D radial dispersion σr(r)\sigma_r(r) and integrating along the line of sight gives the three resulting observable velocity dispersions (their Eqs. 1–3, p. L2):

Line-of-sight (Eq. 1, p. L2):

σlos2(R)=2I(R)R(1βR2r2)νσr2rdrr2R2.\sigma_{\rm los}^2(R) = \frac{2}{I_\star(R)}\int_R^\infty \left(1 - \beta\,\frac{R^2}{r^2}\right) \frac{\nu_\star\,\sigma_r^2\,r\,dr}{\sqrt{r^2 - R^2}}.

Proper-motion radial / on-sky radial (Eq. 2, p. L2):

σR2(R)=2I(R)R(1β+βR2r2)νσr2rdrr2R2.\sigma_R^2(R) = \frac{2}{I_\star(R)}\int_R^\infty \left(1 - \beta + \beta\,\frac{R^2}{r^2}\right) \frac{\nu_\star\,\sigma_r^2\,r\,dr}{\sqrt{r^2 - R^2}}.

Proper-motion tangential (Eq. 3, p. L2):

σt2(R)=2I(R)R(1β)νσr2rdrr2R2.\sigma_t^2(R) = \frac{2}{I_\star(R)}\int_R^\infty (1 - \beta)\, \frac{\nu_\star\,\sigma_r^2\,r\,dr}{\sqrt{r^2 - R^2}}.

Here β(r)=1σθ2/σr2\beta(r) = 1 - \sigma_\theta^2/\sigma_r^2 is the stellar velocity anisotropy, I(R)I_\star(R) is the surface density of stars, and ν(r)\nu_\star(r) is the three-dimensional number (light) density (§2, p. L2). The paper states explicitly that “it is clear from inspection that each component depends on β\beta in a different fashion, and therefore they can be used together to constrain its value” — which is precisely the β\betaγ\gamma degeneracy break progenax’s OED exploits.

Code cross-reference (src/progenax/kinematics/dispersion.py)

project_dispersion (def at line 677) folds the r/r2R2r/\sqrt{r^2-R^2} pole away analytically via r2=R2+u2r^2 = R^2 + u^2 (so rdr/r2R2=dur\,dr/\sqrt{r^2-R^2} = du) and integrates a smooth quadrature in uu (line 810, r = sqrt(R_i**2 + u**2)). With ratio = R²/r² (line 822), w = rho * sigma_r2 (line 823), and beta = r²/(r²+r_a²) (Merritt (1985), line 820):

QuantityCode (line)Kernel in codePaper source
σlos2\sigma_{\rm los}^2S_los, L830: (1 - beta*ratio)*w1βR2/r21 - \beta\,R^2/r^2Eq. (1) (1) (= Binney & Mamon (1982) Eq. 7) ✓
σpm,R2\sigma_{\rm pm,R}^2S_pmr, L831: (1 - beta + beta*ratio)*w1β+βR2/r21 - \beta + \beta\,R^2/r^2Eq. (2) (2)
σpm,T2\sigma_{\rm pm,T}^2S_pmt, L832: (1 - beta)*w1β1 - \betaEq. (3) (3)
Σ(R)\Sigma(R)Sigma, L829: 2*trapezoid(rho*jac, grid)2ρr/r2R2dr2\int \rho\, r/\sqrt{r^2-R^2}\,drI(R)I_\star(R) inverse-Abel (BM82 Eq. 2)

Cell-by-cell: the factor 2 (L829–832), the νσr2\nu_\star\,\sigma_r^2 weight (here rho * sigma_r2, ρ=Aν\rho = A\,\nu_\star under mass-follows-light, AA cancelling in the dispersion ratios), the β(r)\beta(r) multiplier, and the substitution that removes 1/r2R21/\sqrt{r^2-R^2} all match Eqs. (1)–(3) exactly. The isotropic limit (ra=r_a=None β=0\Rightarrow\beta=0, L818) collapses all three kernels to 1, so σlos=σpm,R=σpm,T\sigma_{\rm los}=\sigma_{\rm pm,R}=\sigma_{\rm pm,T} — the correct β=0\beta=0 behaviour of Eqs. (1)–(3) (anisotropy lives entirely in the kernel ratios).

Verification verdict

Use in progenax

Notes

References
  1. Strigari, L. E., Bullock, J. S., & Kaplinghat, M. (2007). Determining the Nature of Dark Matter with Astrometry. The Astrophysical Journal Letters, 657, L1–L4. 10.1086/512976