Testing subhalo abundance matching with galaxy kinematics

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) (2026) stag1549

Authors:

Fedir Boreiko, Tariq Yasin, Harry Desmond, Richard Stiskalek, Matt J Jarvis

Abstract:

Abstract The rotation velocities of disc galaxies trace dark matter halo structure, providing direct constraints on the galaxy–halo connection. We construct a Bayesian forward model to connect the dark matter halo population predicted by ΛCDM with an observed sample of disc galaxies (SPARC) through their maximum rotation velocities. Our approach combines a subhalo abundance matching scheme (accounting for assembly bias) with a parameterised halo response to galaxy formation. When assuming no correlation between selection in the SPARC survey and halo properties, reproducing the observed velocities requires strong halo expansion, low abundance matching scatter and a halo proxy that strongly suppresses the stellar masses in satellite haloes. This is in clear tension with independent clustering constraints. Allowing for SPARC-like galaxies to preferentially populate low Vmax haloes at fixed virial mass greatly improves the goodness-of-fit and resolves these tensions: the preferred halo response shifts to mild contraction, the abundance matching scatter constraint relaxes to σSHAM < 0.30 dex at 1σ and the proxy becomes consistent with clustering. However, the inferred selection threshold is extreme, implying that SPARC galaxies occupy the lowest ~15 per cent of the Vmax, halo distribution at fixed Mvir. Moreover, even with selection, the inferred scatter remains in statistical disagreement with the low-mass clustering constraints, which are most representative of the SPARC galaxies in our sample. Our analysis highlights the advantage of augmenting clustering-based constraints on the galaxy–halo connection with kinematics and suggests a possible tension using current data.

Discovery of 27 new Rotating Radio Transients by MeerTRAP

Monthly Notices of the Royal Astronomical Society (2026) stag1538

Authors:

S Singh, J Tian, BW Stappers, K Shaji, KM Rajwade, L Levin, JD Turner, MC Bezuidenhout, M Caleb, I Pastor-Marazuela, F Jankowski, R Karuppusamy, ED Barr, M Kramer, R Breton, CJ Clark, T Thongmeearkom, M Burgay

Abstract:

We present the discovery of 27 new Galactic transients made by the commensal MeerTRAP single pulse search programme at the MeerKAT telescope. We determine the location of 14 of these discoveries with arcsecond accuracy by imaging the data captured in the dedicated transient buffer. A preliminary estimate of the period was made for 8 sources using the arrival times of several pulses detected by MeerTRAP. The periods of these transients range between 0.78 s and 4 s. For the previously published MeerTRAP source MTP0040 (PSR J1357−6507), we are able to provide the position and period using new pulses detected since it was reported. We also estimate the radio fluences and discuss the burst rates derived from the commensal search detections. The accurate image-domain localizations were used to conduct follow-up observations and timing analysis. Furthermore, some follow-up observations revealed ordinary pulsar-like pulsed behavior for four of the new sources, illustrating the blurred separation between rotating radio transients and canonical pulsars. We also present coherent timing solutions for 4 sources, providing insight into their rotational properties and their place within the Galactic neutron star population.

Radio flares and X-ray hardening embedded in the long soft state of 4U 1543-475

(2026)

Authors:

Zuobin Zhang, Rob Fender, Jiachen Jiang, Payaswini Saikia, David M Russell, Andrew Hughes, Honghui Liu, Francesco Carotenuto, James F Steiner, Fraser J Cowie, John A Tomsick, Cosimo Bambi, Yimin Huang, Xian Zhang, Wenfei Yu, Yuexin Zhang, Rittick Roy

Simulation-based inference for AGN jet population modelling: Towards more robust comparisons of black hole jet speeds

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) (2026) stag1515

Authors:

Clara Lilje, James H Matthews, Rob Fender

Abstract:

Abstract We present the most complete modelling of the MOJAVE 1.5 Jansky Quarter Century active galactic nuclei (AGN) jet population, using likelihood-free simulation-based inference. Due to the complex impact of a flux-limit on observed AGN data sets, careful modelling of the parent population is required. In particular, when observing and fitting to multiple data distributions likelihoods become non-intuitive. Parameter degeneracies further complicate the problem and make it suitable for likelihood-free, simulation-based inference. This method relies on a normalising flow learning the likelihood surface or posteriors directly. We extensively validate the flow to show that previous parameter estimates for the AGN jet speed distributions underestimated parameter errors significantly and do not capture the non-gaussianity of the parameter posteriors. The new results enable a better statistical comparison to other AGN population studies, but also a more accurate comparison of supermassive black hole jets with their lower mass counterparts, X-ray binaries (XRB). We find that the AGN follow a Lorentz factor distribution of the shape N(Γ)∝Γb with $b= -1.32_{-0.19}^{+0.20}$. This slope is consistent with the XRB Lorentz factor distribution at 2σ. Simulation-based inference as a method is generally well-suited to many astrophysical problems, and this paper shows the convenient applicability of this methodology to parent population studies of jetted AGN with multiple observables specifically.

Simulation-based inference for AGN jet population modelling: Towards more robust comparisons of black hole jet speeds

(2026)

Authors:

Clara Lilje, James H Matthews, Rob Fender