MaNGA DynPop - II. Global stellar population, gradients, and star-formation histories from integral-field spectroscopy of 10K galaxies: link with galaxy rotation, shape, and total-density gradients

Monthly Notices of the Royal Astronomical Society Oxford University Press 526:1 (2023) 1022-1045

Authors:

S Lu, K Zhu, Michele Cappellari, R Li, S Mao, D Xu

Abstract:

This is the second paper of the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) Dynamics and stellar Population (DynPop) series, which analyses the global stellar population, radial gradients, and non-parametric star-formation history of ∼10K galaxies from the MaNGA Survey final data release 17 and relates them with dynamical properties of galaxies. We confirm the correlation between the stellar population properties and the stellar velocity dispersion σe, but also find that younger galaxies are more metal-poor at fixed σe. Stellar age, metallicity, and mass-to-light ratio (M∗/L) all decrease with increasing galaxy rotation, while their radial gradients become more negative (i.e. lower value at the outskirts). The exception is the slow rotators, which also appear to have significantly negative metallicity gradients, confirming the mass-metallicity gradient correlation. Massive disc galaxies in the green valley, on the plane, show the most negative age and metallicity gradients, consistent with their old central bulges surrounded by young star-forming discs and metal-poor gas accretion. Galaxies with high σe, steep total mass-density slope, low dark matter fraction, high M∗/L, and high metallicity have the highest star-formation rate at earlier times, and are currently quenched. We also discover a population of low-mass star-forming galaxies with low rotation but physically distinct from the massive slow rotators. A catalogue of these stellar population properties is provided publicly.

Stellar metallicity from optical and UV spectral indices: test case for WEAVE-StePS

Astronomy and Astrophysics EDP Sciences 677 (2023) A93

Authors:

Fr Ditrani, M Longhetti, F La Barbera, A Iovino, L Costantin, S Zibetti, A Gallazzi, M Fossati, J Angthopo, Y Ascasibar, B Poggianti, P Sánchez-Blázquez, M Balcells, M Bianconi, M Bolzonella, Lp Cassarà, O Cucciati, Gavin Dalton, S Jin, Chiara Spiniello

Abstract:

Context.
The upcoming generation of optical spectrographs on four meter-class telescopes, with their huge multiplexing capabilities, excellent spectral resolution, and unprecedented wavelength coverage, will provide high-quality spectra for thousands of galaxies. These data will allow us to examine of the stellar population properties at intermediate redshift, an epoch that remains unexplored by large and deep surveys.
Aims.
We assess our capability to retrieve the mean stellar metallicity in galaxies at different redshifts and signal-to-noise ratios (S/N), while simultaneously exploiting the ultraviolet (UV) and optical rest-frame wavelength coverage.
Methods.
The work is based on a comprehensive library of spectral templates of stellar populations, covering a wide range of age and metallicity values and built assuming various star formation histories, to cover an observable parameter space with diverse chemical enrichment histories and dust attenuation. We took into account possible observational errors, simulating realistic observations of a large sample of galaxies carried out with WEAVE at the William Herschel Telescope at different redshifts and S/N values. We measured all the available and reliable indices on the simulated spectra and on the comparison library. We then adopted a Bayesian approach to compare the two sets of measurements in order to obtain the probability distribution of stellar metallicity with an accurate estimate of the uncertainties.
Results.
The analysis of the spectral indices has shown how some mid-UV indices, such as BL3580 and Fe3619, can provide reliable constraints on stellar metallicity, along with optical indicators. The analysis of the mock observations has shown that even at S/N = 10, the metallicity can be derived within 0.3 dex, in particular, for stellar populations older than 2 Gyr. The S/N value plays a crucial role in the uncertainty of the estimated metallicity and so, the differences between S/N = 10 and S/N = 30 are quite large, with uncertainties of ~0.15 dex in the latter case. On the contrary, moving from S/N = 30 to S/N = 50, the improvement on the uncertainty of the metallicity measurements is almost negligible. Our results are in good agreement with other theoretical and observational works in the literature and show how the UV indicators, coupled with classic optical ones, can be advantageous in constraining metallicities.
Conclusions.
We demonstrate that a good accuracy can be reached on the spectroscopic measurements of the stellar metallicity of galaxies at intermediate redshift, even at low S/N, when a large number of indices can be employed, including some UV indices. This is very promising for the upcoming surveys carried out with new, highly multiplexed, large-field spectrographs, such as StePS at the WEAVE and 4MOST, which will provide spectra of thousands of galaxies covering large spectral ranges (between 3600 and 9000 Å in the observed frame) at relatively high S/N (>10 Å−1).

Identification of Galaxy–Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning

The Astrophysical Journal American Astronomical Society 954:1 (2023) 68

Authors:

EA Zaborowski, A Drlica-Wagner, F Ashmead, JF Wu, R Morgan, CR Bom, AJ Shajib, S Birrer, W Cerny, EJ Buckley-Geer, B Mutlu-Pakdil, PS Ferguson, K Glazebrook, SJ Gonzalez Lozano, Y Gordon, M Martinez, V Manwadkar, J O’Donnell, J Poh, A Riley, JD Sakowska, L Santana-Silva, BX Santiago, D Sluse, CY Tan, EJ Tollerud, A Verma, JA Carballo-Bello, Y Choi, DJ James, N Kuropatkin, CE Martínez-Vázquez, DL Nidever, JL Nilo Castellon, NED Noël, KAG Olsen, AB Pace, S Mau, B Yanny, A Zenteno, TMC Abbott, M Aguena, O Alves, F Andrade-Oliveira, S Bocquet, D Brooks, DL Burke, A Carnero Rosell, M Carrasco Kind, J Carretero, FJ Castander, CJ Conselice, M Costanzi, MES Pereira, J De Vicente, S Desai, JP Dietrich, P Doel, S Everett, I Ferrero, B Flaugher, D Friedel, J Frieman, J García-Bellido, D Gruen, RA Gruendl, G Gutierrez, SR Hinton, DL Hollowood, K Honscheid, K Kuehn, H Lin, JL Marshall, P Melchior, J Mena-Fernández, F Menanteau, R Miquel, A Palmese, F Paz-Chinchón, A Pieres, AA Plazas Malagón, J Prat, M Rodriguez-Monroy, AK Romer, E Sanchez, V Scarpine, I Sevilla-Noarbe, M Smith, E Suchyta, C To, N Weaverdyck

The RoboPol sample of optical polarimetric standards

Astronomy & Astrophysics EDP Sciences 677 (2023) A144-A144

Authors:

D Blinov, S Maharana, F Bouzelou, C Casadio, E Gjerløw, J Jormanainen, S Kiehlmann, JA Kypriotakis, I Liodakis, N Mandarakas, L Markopoulioti, GV Panopoulou, V Pelgrims, A Pouliasi, S Romanopoulos, R Skalidis, RM Anche, E Angelakis, J Antoniadis, BJ Medhi, T Hovatta, A Kus, N Kylafis, A Mahabal, I Myserlis, E Paleologou, I Papadakis, V Pavlidou, I Papamastorakis, TJ Pearson, SB Potter, AN Ramaprakash, ACS Readhead, P Reig, A Słowikowska, K Tassis, JA Zensus

Abstract:

Context. Optical polarimeters are typically calibrated using measurements of stars with known and stable polarization parameters. However, there is a lack of such stars available across the sky. Many of the currently available standards are not suitable for medium and large telescopes due to their high brightness. Moreover, as we find, some of the polarimetric standards used are in fact variable or have polarization parameters that differ from their cataloged values. Aims. Our goal is to establish a sample of stable standards suitable for calibrating linear optical polarimeters with an accuracy down to 10−3 in fractional polarization. Methods. For 4 yr, we have been running a monitoring campaign of a sample of standard candidates comprised of 107 stars distributed across the northern sky. We analyzed the variability of the linear polarization of these stars, taking into account the non-Gaussian nature of fractional polarization measurements. For a subsample of nine stars, we also performed multiband polarization measurements. Results. We created a new catalog of 65 stars (see Table 2) that are stable, have small uncertainties of measured polarimetric parameters, and can be used as calibrators of polarimeters at medium and large telescopes.

Full spectrum fitting with photometry in PPXF: stellar population versus dynamical masses, non-parametric star formation history and metallicity for 3200 LEGA-C galaxies at redshift z ≈ 0.8

Monthly Notices of the Royal Astronomical Society Oxford University Press 526:3 (2023) 3273-3300

Abstract:

I introduce some improvements to the PPXF method, which measures the stellar and gas kinematics, star formation history (SFH) and chemical composition of galaxies. I describe the new optimization algorithm that PPXF uses and the changes I made to fit both spectra and photometry simultaneously. I apply the updated PPXF method to a sample of 3200 galaxies at redshift 0.6 < z < 1 (median z = 0.76, stellar mass M∗ 3 × 1010 M), using spectroscopy from the LEGA-C survey (DR3) and 28-bands photometry from two different sources. I compare the masses from new JAM dynamical models with the PPXF stellar population M∗ and show the latter are more reliable than previous estimates. I use three differentstellar population synthesis(SPS) modelsin PPXF and both photometric sources. I confirm the main trend of the galaxies’ global ages and metallicity [M/H] with stellar velocity dispersion σ∗ (or central density), but I also find that [M/H] depends on age at fixed σ∗. The SFHsreveal a sharp transition from star formation to quenching for galaxies with lg(σ∗/km s−1) 2.3 (σ∗ 200 km s−1), or average mass density within 1 kpc lg(JAM 1 /Mkpc−2) 9.9 (JAM 1 7.9 × 109 M kpc−2), or with [M/H] −0.1, or with Sersic index lg nSer 0.5 (nSer 3.2). However, the transition is smoother as a function of M∗. These results are consistent for two SPS models and both photometric sources, but they differ significantly from the third SPS model, which demonstrates the importance of comparing model assumptions.