Published January 2020 | public
Journal Article

The Separation Distribution of Ultrawide Binaries across Galactic Populations

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Abstract

We present an extensive and pure sample of ultrawide binary stars with separations of 0.01 ≲ s/pc ≲ 1 in the solar neighborhood. Using data from Gaia DR2, we define kinematic subpopulations via the systems' tangential velocities, i.e., disk-like (v_(⊥,tot) ≤ 40 km s⁻¹), intermediate (v_(⊥,tot) = 40–85 km s⁻¹), and halo-like (v_(⊥,tot) ≥ 85 km s⁻¹) binaries, presuming that these velocity cuts represent a rough ordering in the binaries' age and metallicity. Through stringent cuts on astrometric precision, we can obtain pure binary samples at such wide separations with thousands of binaries in each sample. Fitting a smoothly broken power law for the separation distribution, we find that its slope at s = 10^(2.5–4) au is the same for all subpopulations, p(s) ∝ s^γ with γ ≈ −1.54. However, the logarithmic slope of p(s) steepens at s ≳ 10⁴ au. We find some evidences that the degree of steepening increases with the binaries' age, with a slope change of only Δγ ≈ 0.5 for disk-like stars, but Δγ ≳ 1 for halo-like stars. This trend is contrary to what might be expected if steepening at wide separations were due to gravitational perturbations by molecular clouds or stars, which would preferentially disrupt disk binaries. If we were to interpret steepening at s ≳ 10 au as a consequence of disruption by MAssive Compact Halo Objects (MACHOs), we would have to invoke a MACHO population inconsistent with other constraints. As a more plausible alternative, we propose a simple model to predict the separation distribution of wide binaries formed in dissolving star clusters. This model generically predicts γ ≃ −1.5 as observed, with steepening at larger separations due to the finite size of binaries' birth clusters.

Additional Information

The authors thank Bing Yue, Qiang Yuan, Chao Liu, and Ling Zhu for helpful discussions. H.-J.T. acknowledges the National Natural Science Foundation of China (NSFC) under grants 11873034, U1731108, and U1731124. K.E.-B. was supported in part by an NSF graduate research fellowship and by SFB 881. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.

Additional details

Created:
August 22, 2023
Modified:
October 24, 2023