The PAU Survey: Measurements of the 4000 Å spectral break with narrow-band photometry
arXiv:2201.04411 · doi:10.1093/mnras/stac1730
Abstract
The D4000 spectral break index is one of the most important features in the visible spectrum, as it is a proxy for stellar ages and is also used in galaxy classification. However, its direct measurement has always been reserved to spectroscopy. Here, we present a general method to directly measure the D4000 with narrow-band (NB) photometry; it has been validated using realistic simulations, and then evaluated with PAUS NBs, cross-matched with VIPERS spectra (, ). We also reconstruct the D4000 with the SED-fitting code CIGALE; the use of PAUS NBs instead of broad bands significantly improves the SED fitting results. For D4000, the direct measurement has , but we find that for all direct D4000 measurements have . The CIGALE D4000 has , but underestimates the error by 50\%. Furthermore, the direct method recreates well the D4000-SFR relation, as well as the D4000-mass relation for blue galaxies (for red galaxies, selection effects impact the results). On the other hand, CIGALE accurately classifies galaxies into red and blue populations. We conclude that the direct measurement of D4000 with narrow-band photometry is a promising tool to determine average properties of galaxy samples, with results compatible with spectroscopy.
21 pages, 18 figures. Accepted in MNRAS
References in corpus (24)
- Mass and environment as drivers of galaxy evolution in SDSS and zCOSMOS and the origin of the Schechter function
- Improving the full spectrum fitting method: accurate convolution with Gauss-Hermite functions
- zCOSMOS: A Large VLT/VIMOS redshift survey covering 0 < z < 3 in the COSMOS field
- Understanding Galaxy Evolution through Emission Lines
- The VIMOS Ultra-Deep Survey: ~10,000 galaxies with spectroscopic redshifts to study galaxy assembly at early epochs 2<z<~6
- The ALHAMBRA Project: A large area multi medium-band optical and NIR photometric survey
- ProSpect: Generating Spectral Energy Distributions with Complex Star Formation and Metallicity Histories
- Galaxy And Mass Assembly: Deconstructing Bimodality - I. Red ones and blue ones
- The PAU Survey: An improved photo- sample in the COSMOS field
- The zCOSMOS redshift survey: the three-dimensional classification cube and bimodality in galaxy physical properties
- The star formation history of luminous infrared galaxies
- Toward a Better Understanding of Cosmic Chronometers: Stellar Population Properties of Passive Galaxies at Intermediate Redshift
- The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system
- The PAU Survey: Photometric redshifts using transfer learning from simulations
- The Physics of the Accelerating Universe Camera
- Fast methods for tracking grain coagulation and ionization. I. Analytic derivation
- A detailed look at the stellar populations in green valley galaxies
- The PAU Survey: Measurement of Narrow-band galaxy properties with Approximate Bayesian Computation
- The PAU Survey: narrowband photometric redshifts using Gaussian processes
- The PAU Survey: Intrinsic alignments and clustering of narrow-band photometric galaxies
- J-PAS: Measuring emission lines with artificial neural networks
- The PAU survey: Estimating galaxy photometry with deep learning
- The PAU survey: Ly intensity mapping forecast
- Synergies between low- and intermediate-redshift galaxy populations revealed with unsupervised machine learning
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- The PAU Survey: Classifying low-z SEDs using Machine Learning clustering
- A Dynamic Galaxy: Stellar Age Patterns Across the Disk of M101