INSPIRE: INvestigating Stellar Population In RElics

Astronomy & Astrophysics EDP Sciences 672 (2023) A17-A17

Authors:

G D’Ago, C Spiniello, L Coccato, C Tortora, F La Barbera, M Arnaboldi, D Bevacqua, A Ferré-Mateu, A Gallazzi, J Hartke, LK Hunt, I Martín-Navarro, NR Napolitano, C Pulsoni, M Radovich, P Saracco, D Scognamiglio, S Zibetti

Abstract:

Context. The project called INvestigating Stellar Population In RElics (INSPIRE) is based on VLT/X-shooter data from the homonymous on-going ESO Large Program. It targets 52 ultra-compact massive galaxies at 0.1 < z < 0.5 with the goal of constraining their kinematics and stellar population properties in great detail and of analysing their relic nature. Aims. This is the second INSPIRE data release (DR2), comprising 21 new systems with observations completed before March 2022. For each system, we release four one-dimensional (1D) spectra to the ESO Science Archive, one spectrum for each arm of the X-Shooter spectrograph. They are at their original resolution. We also release a combined and smoothed spectrum with a full width at half maximum resolution of 2.51 Å. In this paper, we focus on the line-of-sight velocity distribution, measuring integrated stellar velocity dispersions from the spectra, and assessing their robustness and the associated uncertainties. Methods. For each of the 21 new systems, we systematically investigated the effect of the parameters and set-ups of the full spectral fitting on the stellar velocity dispersion (σ) measurements. In particular, we tested how σ changes when several parameters of the fit as well as the resolution and spectral coverage of the input spectra are varied. Results. We found that the effect that causes the largest systematic uncertainties on σ is the wavelength range used for the fit, especially for spectra with a lower signal-to-noise ratio (S/N ≤ 30). When using blue wavelengths (UVB arm) one generally underestimates the velocity dispersion (by ~15 km s−1). The values obtained from the near-IR (NIR) arm present a larger scatter because the quality of the spectra is lower. We finally compared our results with those in literature, finding a very good agreement overall. Conclusions. Joining results obtained in DR1 with those presented here, INSPIRE contains 40 ultra-compact massive galaxies, corresponding to 75% of the whole survey. By plotting these systems in a stellar mass-velocity dispersion diagram, we identify at least four highly reliable relic candidates among the new systems. Their velocity dispersion is larger than that of normal-sized galaxies of similar stellar mass.

Carbonaceous dust grains seen in the first billion years of cosmic time

(2023)

Authors:

Joris Witstok, Irene Shivaei, Renske Smit, Roberto Maiolino, Stefano Carniani, Emma Curtis-Lake, Pierre Ferruit, Santiago Arribas, Andrew J Bunker, Alex J Cameron, Stephane Charlot, Jacopo Chevallard, Mirko Curti, Anna de Graaff, Francesco D'Eugenio, Giovanna Giardino, Tobias J Looser, Tim Rawle, Bruno Rodríguez del Pino, Chris Willott, Stacey Alberts, William M Baker, Kristan Boyett, Eiichi Egami, Daniel J Eisenstein, Ryan Endsley, Kevin N Hainline, Zhiyuan Ji, Benjamin D Johnson, Nimisha Kumari, Jianwei Lyu, Erica Nelson, Michele Perna, Marcia Rieke, Brant E Robertson, Lester Sandles, Aayush Saxena, Jan Scholtz, Fengwu Sun, Sandro Tacchella, Christina C Williams, Christopher NA Willmer

GA-NIFS: Black hole and host galaxy properties of two z$\simeq$6.8 quasars from the NIRSpec IFU

(2023)

Authors:

Madeline A Marshall, Michele Perna, Chris J Willott, Roberto Maiolino, Jan Scholtz, Hannah Übler, Stefano Carniani, Santiago Arribas, Nora Lützgendorf, Andrew J Bunker, Stephane Charlot, Pierre Ferruit, Peter Jakobsen, Hans-Walter Rix, Bruno Rodríguez Del Pino, Torsten Böker, Alex J Cameron, Giovanni Cresci, Emma Curtis-Lake, Gareth C Jones, Nimisha Kumari, Pablo G Pérez-González, Sophie L Reed

JADES: Probing interstellar medium conditions at $z\sim5.5-9.5$ with ultra-deep JWST/NIRSpec spectroscopy

(2023)

Authors:

Alex J Cameron, Aayush Saxena, Andrew J Bunker, Francesco D'Eugenio, Stefano Carniani, Roberto Maiolino, Emma Curtis-Lake, Pierre Ferruit, Peter Jakobsen, Santiago Arribas, Nina Bonaventura, Stephane Charlot, Jacopo Chevallard, Mirko Curti, Tobias J Looser, Michael V Maseda, Tim Rawle, Bruno Rodríguez Del Pino, Renske Smit, Hannah Übler, Chris Willott, Joris Witstok, Eiichi Egami, Daniel J Eisenstein, Benjamin D Johnson, Kevin Hainline, Marcia Rieke, Brant E Robertson, Daniel P Stark, Sandro Tacchella, Christina C Williams, Christopher NA Willmer, Rachana Bhatawdekar, Rebecca Bowler, Kristan Boyett, Chiara Circosta, Jakob M Helton, Gareth C Jones, Nimisha Kumari, Zhiyuan Ji, Erica Nelson, Eleonora Parlanti, Lester Sandles, Jan Scholtz, Fengwu Sun

PHANGS-MUSE: Detection and Bayesian classification of ~40 000 ionised nebulae in nearby spiral galaxies

Astronomy & Astrophysics EDP Sciences 672 (2023) A148-A148

Authors:

E Congiu, GA Blanc, F Belfiore, F Santoro, F Scheuermann, K Kreckel, E Emsellem, B Groves, HA Pan, F Bigiel, DA Dale, SCO Glover, K Grasha, OV Egorov, A Leroy, E Schinnerer, EJ Watkins, TG Williams

Abstract:

In this work, we present a new catalogue of >40 000 ionised nebulae distributed across the 19 galaxies observed by the PHANGS-MUSE survey. The nebulae have been classified using a new model-comparison-based algorithm that exploits the odds ratio principle to assign a probabilistic classification to each nebula in the sample. The resulting catalogue is the largest catalogue containing complete spectral and spatial information for a variety of ionised nebulae available so far in the literature. We developed this new algorithm to address some of the main limitations of the traditional classification criteria, such as their binarity, the sharpness of the involved limits, and the limited amount of data they rely on for the classification. The analysis of the catalogue shows that the algorithm performs well when selecting H II regions. In fact, we can recover their luminosity function, and its properties are in line with what is available in the literature. We also identify a rather significant population of shock-ionised regions (mostly composed of supernova remnants), which is an order of magnitude larger than any other homogeneous catalogue of supernova remnants currently available in the literature. The number of supernova remnants we identify per galaxy is in line with results in our Galaxy and in other very nearby sources. However, limitations in the source detection algorithm result in an incomplete sample of planetary nebulae, even though their classification seems robust. Finally, we demonstrate how applying a correction for the contribution of the diffuse ionised gas to the nebulae's spectra is essential to obtain a robust classification of the objects and how a correct measurement of the extinction using diffuse-ionised-gas-corrected line fluxes prompts the use of a higher theoretical Hα/Hβ ratio (3.03) than what is commonly used when recovering the E(B -V) via the Balmer decrement technique in massive star-forming galaxies.