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, they forecast (via a 6×6
Fisher matrix) that the log-slope of the dark-matter density at about twice the stellar core
(King) radius, r⋆≃2rKing, can be measured to within ±0.2 once the proper
motions of ∼200 stars are combined with ∼1000 LOS velocities — a factor of ∼5 better
than LOS data alone. The key physics is a manifest degeneracy between β 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), 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+vθsinθ) and the two in-sky components parallel and tangential to the projected radius
vector R: vR=vrsinθ+vθcosθ (on-sky radial) and vt=vϕ
(on-sky tangential). The dispersions are σi2≡⟨vi2⟩, with
σϕ2=σθ2 assumed. Solving the Jeans equation for the 3-D radial dispersion
σr(r) and integrating along the line of sight gives the three resulting observable
velocity dispersions (their Eqs. 1–3, p. L2):
Here β(r)=1−σθ2/σr2 is the stellar velocity anisotropy, I⋆(R)
is the surface density of stars, and ν⋆(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 in a different fashion, and therefore they can be used together to constrain its
value” — which is precisely the β–γ degeneracy break progenax’s OED exploits.
project_dispersion (def at line 677) folds the r/r2−R2 pole away analytically via
r2=R2+u2 (so rdr/r2−R2=du) and integrates a smooth quadrature in u
(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):
Cell-by-cell: the factor 2 (L829–832), the ν⋆σr2 weight (here rho * sigma_r2,
ρ=Aν⋆ under mass-follows-light, A cancelling in the dispersion ratios), the
β(r) multiplier, and the substitution that removes 1/r2−R2 all match Eqs. (1)–(3)
exactly. The isotropic limit (ra=None⇒β=0, L818) collapses all three kernels
to 1, so σlos=σpm,R=σpm,T — the correct β=0 behaviour of
Eqs. (1)–(3) (anisotropy lives entirely in the kernel ratios).
progenax.kinematics.dispersion.project_dispersion — proper-motion projection of the anisotropic
Jeans model: σpm,R(R) from (2) (Strigari+2007 Eq. 2) and
σpm,T(R) from (3) (Strigari+2007 Eq. 3) onto on-sky radii R.
Pairs with Binney & Mamon (1982) (the LOS channel, Eq. 7) and Merritt (1985) (the
Osipkov–Merritt β(r)=r2/(r2+ra2) supplied to all three kernels).
The two proper-motion channels are what make the dispersion forward model a genuinely
three-method observable for the OED Fisher, breaking the β–log-slope degeneracy exactly as
Strigari+2007 demonstrate (their §4 and Fig. 2).
Anisotropy convention. Strigari+2007 use β(r)=1−σθ2/σr2 with a
single tangential component σθ (and σϕ2=σθ2) — the same
convention as Binney & Mamon (1982) Eq. 1 and consistent with the Osipkov–Merritt law used in
progenax. The Letter’s Fisher forecast assumes a constantβ; progenax instead supplies the
radius-dependent OM β(r), but the projection kernels (1)–(3) hold for
an arbitrary β(r) (the kernels are evaluated inside the radial integral).
The Letter’s headline science (the 6×6 Fisher matrix forecasting σ(γ⋆),
Table 1; the β–γ contours, Fig. 2) is the motivation for progenax’s OED
dispersion arc — the same “add proper motions to break the anisotropy degeneracy” argument — but
progenax implements only the forward projection (Eqs. 1–3), not the paper’s specific
six-parameter dark-halo parameterisation (their Eq. 4).
Equations above verified against the published PDF.
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