PowerBin: fast adaptive data binning with Centroidal Power Diagrams

Monthly Notices of the Royal Astronomical Society 91探花 University Press 544:2 (2025) staf1726

Abstract:

Adaptive binning is a crucial step in the analysis of large astronomical data sets, such as those from integral-field spectroscopy, to ensure a sufficient signal-to-noise ratio () for reliable model fitting. However, the widely used Voronoi-binning method and its variants suffer from two key limitations: they scale poorly with data size, often as , creating a computational bottleneck for modern surveys, and they can produce undesirable non-convex or disconnected bins. I introduce PowerBin, a new algorithm that overcomes these issues. I frame the binning problem within the theory of optimal transport, for which the solution is a Centroidal Power Diagram (CPD), guaranteeing convex bins. Instead of formal CPD solvers, which are unstable with real data, I develop a fast and robust heuristic based on a physical analogy of packed soap bubbles. This method reliably enforces capacity constraints even for non-additive measures like with correlated noise. I also present a new bin-accretion algorithm with complexity, removing the previous bottleneck. The combined PowerBin algorithm scales as , making it about two orders of magnitude faster than previous methods on million-pixel data sets. I demonstrate its performance on a range of simulated and real data, showing it produces high-quality, convex tessellations with excellent uniformity. The public python implementation provides a fast, robust, and scalable tool for the analysis of modern astronomical data.

The dark side of early galaxies: $\texttt{geko}$ uncovers dark-matter fractions at $z\sim4-6$

(2025)

Authors:

A Lola Danhaive, Sandro Tacchella, Andrew J Bunker, Emma Curtis-Lake, Anna de Graaff, Francesco D'Eugenio, Qiao Duan, Eiichi Egami, Daniel J Eisenstein, Benjamin D Johnson, Roberto Maiolino, William McClymont, Marcia Rieke, Brant Robertson, Fengwu Sun, Christopher NA Willmer, Zihao Wu, Yongda Zhu

The detection of a large-scale ionised outflow in the local CON galaxy Zw049.057

Astronomy & Astrophysics EDP Sciences (2025)

Authors:

CF Wethers, S Aalto, S del Palacio, B Lankhaar, GC Privon, F Stanley, J Gallagher, M Gorski, S K枚nig, G Olander, M Sato, R Beswick, F Combes, AS Evans, I Garcia-Bernete, C Henkel, M Imanishi, S Linden, J Mangum, S Muller, Y Nishimura, C Ricci, D Rigopoulou

Abstract:

Current co-evolutionary models of galaxies and their supermassive black holes (SMBHs) almost unanimously predict the existence of a heavily dust-obscured nuclear phase, critical in growing the SMBH and providing feedback to the host galaxy. However, this phase is poorly understood. Compact obscured nuclei (CONs) are relatively common in local (ultra-)luminous infrared galaxies and are the most obscured nuclei known to date, offering the opportunity to study the effects of such a dust-obscured phase on the galaxy. This work presents a case study of the local CON Zw049.057; we study the large-scale features of the galaxy and their connection to the ongoing activity of the central CON. We present new, targeted MUSE observations of the local CON galaxy Zw049.057, which is known to host multiple outflow features within its central few hundred parsecs. By mapping the kinematics of H伪, we analysed the large-scale features of the galaxy. For the first time, we identify a kiloparsec-scale ionised outflow in Zw049.057, traced by H伪 emission. Kinematics reveal the outflow to be blueshifted and orientated to the foreground of the stellar disk. The ionisation of this outflow is consistent with shock-heating, which may be related to the presence of a previously identified radio jet in the galaxy.

Cloudy with a chance of starshine: Possible photometric signatures of nebular-dominated emission in $1.5 < z < 8.5$ JADES galaxies

(2025)

Authors:

James AA Trussler, Alex J Cameron, Daniel J Eisenstein, Harley Katz, Nathan J Adams, Duncan Austin, Andrew J Bunker, Stefano Carniani, Christopher J Conselice, Mirko Curti, Emma Curtis-Lake, Kevin Hainline, Thomas Harvey, Benjamin D Johnson, Qiong Li, Tobias J Looser, Pierluigi Rinaldi, Brant Robertson, Fengwu Sun, Sandro Tacchella, Christina C Williams, Christopher NA Willmer, Chris Willott, Zihao Wu

High-order stellar kinematics in MaNGA integral-field spectroscopy survey: classification, stellar population, and the impact of galaxy bars and mergers

Monthly Notices of the Royal Astronomical Society 91探花 University Press 544:1 (2025) 1038-1055

Authors:

Youquan Fu, Michele Cappellari, Kai Zhu, Shude Mao, Shengdong Lu

Abstract:

We extract with ppxf and analyse the high-order stellar kinematic moments (related to skewness) and (related to kurtosis) in a complete subsample of 2230 galaxies with well-sampled line-of-sight velocity distributions () from the final data release of 10 010 unique galaxies of the MaNGA survey. To reduce template mismatch, we created a stellar library based on MaStar. We used proxies for the specific angular momentum parameter () and ellipticity () to distinguish between fast and slow rotators. Using the Pearson correlation coefficient between spatially resolved and within the isophotes of 2.5 half-light radii (), we classified 1599 fast rotators into (i) 1073 galaxies showing a strong versus anticorrelation, indicative of normal rotating stellar discs as observed in earlier studies, and (ii) 526 galaxies exhibiting weak or no correlation between and . These galaxies are likely disturbed, showing signs of bars or merging. Further inspection revealed that 85 galaxies from the latter group contain an anticorrelated inner disc, with half of these inner discs composed of younger stellar populations, indicative of recent gas accretion and nuclear star formation. This catalogue presents measurements of high-order stellar kinematic moments, providing a basis for exploring their potential links with the kinematic structures of galaxies. We have made the newly extracted high-order kinematics publicly available for further studies on stellar dynamics and galaxy formation.