Multiband Analysis of Strong Gravitationally Lensed Post-blue Nugget Candidates from the Kilo-degree Survey

The Astrophysical Journal American Astronomical Society 973:2 (2024) 145

Authors:

Rui Li, Nicola R Napolitano, Linghua Xie, Ran Li, Xiaotong Guo, Alexey Sergeyev, Crescenzo Tortora, Chiara Spiniello, Alessandro Sonnenfeld, Léon VE Koopmans, Diana Scognamiglio

Abstract:

During the early stages of galaxy evolution, a significant fraction of galaxies undergo a transitional phase between the “blue nugget” systems, which arise from the compaction of large, active star-forming disks, and the “red nuggets,” which are red and passive compact galaxies. These objects are typically only observable with space telescopes, and detailed studies of their size, mass, and stellar population parameters have been conducted on relatively small samples. Strong gravitational lensing can offer a new opportunity to study them in detail, even with ground-based observations. In this study, we present the first six bona fide samples of strongly lensed post-blue nugget (pBN) galaxies, which were discovered in the Kilo Degree Survey. By using the lensing-magnified luminosity from optical and near-infrared bands, we have derived robust structural and stellar population properties of the multiple images of the background sources. The pBN galaxies have very small sizes of R eff < 1.3 kpc, high mass density inside 1 kpc of log(Σ1/M⊙kpc−2)>9.3 , and low specific star formation rates of log(sSFRGyr-1)≲0 , The size–mass and Σ1–mass relations of this sample are consistent with those of the red nuggets, while their sSFR is close to the lower end of compact star-forming blue nugget systems at the same redshift, suggesting a clear evolutionary link between them.

The Effects of Bar Strength and Kinematics on Galaxy Evolution: Slow Strong Bars Affect Their Hosts the Most

The Astrophysical Journal American Astronomical Society 973:2 (2024) 129

Authors:

Tobias Géron, RJ Smethurst, Chris Lintott, Karen L Masters, IL Garland, Petra Mengistu, David O’Ryan, BD Simmons

Abstract:

We study how bar strength and bar kinematics affect star formation in different regions of the bar by creating radial profiles of EW[Hα] and Dn4000 using data from Sloan Digital Sky Survey-IV Mapping Nearby Galaxies at Apache Point Observatory (MaNGA). Bars in galaxies are classified as strong or weak using Galaxy Zoo DESI, and they are classified as fast and slow bars using the Tremaine–Weinberg method on stellar kinematic data from the MaNGA survey. In agreement with previous studies, we find that strong bars in star-forming (SF) galaxies have enhanced star formation in their center and beyond the bar-end region, while star formation is suppressed in the arms of the bar. This is not found for weakly barred galaxies, which have very similar radial profiles to unbarred galaxies. In addition, we find that slow bars in SF galaxies have significantly higher star formation along the bar than fast bars. However, the global star formation rate is not significantly different between galaxies with fast and slow bars. This suggests that the kinematics of the bar do not affect star formation globally, but changes where star formation occurs in the galaxy. Thus, we find that a bar will influence its host the most if it is both strong and slow.

Extended hot dust emission around the earliest massive quiescent galaxy

(2024)

Authors:

Zhiyuan Ji, Christina C Williams, George H Rieke, Jianwei Lyu, Stacey Alberts, Fengwu Sun, Jakob M Helton, Marcia Rieke, Irene Shivaei, Francesco D'Eugenio, Sandro Tacchella, Brant Robertson, Yongda Zhu, Roberto Maiolino, Andrew J Bunker, Yang Sun, Christopher NA Willmer

INSPIRE: INvestigating Stellar Population In RElics – VII. The local environment of ultra-compact massive galaxies

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 534:2 (2024) 1597-1608

Authors:

Diana Scognamiglio, Chiara Spiniello, Mario Radovich, Crescenzo Tortora, Nicola R Napolitano, Rui Li, Matteo Maturi, Michalina Maksymowicz-Maciata, Michele Cappellari, Magda Arnaboldi, Davide Bevacqua, Lodovico Coccato, Giuseppe D’Ago, Hai-Cheng Feng, Anna Ferré-Mateu, Johanna Hartke, Ignacio Martín-Navarro, Claudia Pulsoni

McFine: python-based Monte Carlo multicomponent hyperfine structure fitting

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 534:2 (2024) 1150-1165

Authors:

Thomas G Williams, Elizabeth J Watkins