The Physics of the Accelerating Universe Camera

Aranda, C. Padilla; Castander, F. J.; Alarcón, A.; Aleksić, J.; Ballester, O.; Cabayol, Laura; Cardiel-Sas, Laia; Carretero, J.; Casas, R.; Castilla, Javier; Crocce, M.; Delfino, M.; Díaz, C.; Eriksen, Martin; Fernández, E.; Fosalba, P.; García-Bellido, J.; Gaztañaga, E.; Gaweda, J.; Grañena, F.; Illa, J. M.; Jiménez, Jorge; López, Luis; Martí, Pol; Miquel, R.; Neissner, C.; Pío, Cristóbal; Sánchez, E.; Serrano, S.; Sevilla-Noarbe, I.; Tallada, Pau; Tonello, N.; Vicente, J. De

doi:10.3847/1538-3881/ab0412

Cited by 39 publications

(36 citation statements)

References 51 publications

(38 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, we combine the multiband photometry from Laigle et al (2016), hereafter COSMOS2015, with 40 NB filters from the PAUS survey (Padilla et al 2019) which span the wavelength range from 4500 to 8500 Å. The unique PAUS photometric set is able to determine very precise photometric redshifts thanks to its exquisite wavelength sampling, which specifies precisely the location of the very sharp features in the galaxy SED (Eriksen et al 2019(Eriksen et al , 2020.…”

mentioning

confidence: 99%

The PAU Survey: an improved photo-zsample in the COSMOS field

Alarcón

Gaztañaga

Eriksen

et al. 2021

Monthly Notices of the Royal Astronomical Society

Self Cite

View full text Add to dashboard Cite

We present – and make publicly available – accurate and precise photometric redshifts in the ACS footprint from the COSMOS field for objects with iAB ≤ 23. The redshifts are computed using a combination of narrow-band photometry from PAUS, a survey with 40 narrow bands spaced at $100\,\mathring{\rm A}$ intervals covering the range from 4500 to $8500\,\mathring{\rm A}$, and 26 broad, intermediate, and narrow bands covering the UV, visible and near-infrared spectrum from the COSMOS2015 catalogue. We introduce a new method that models the spectral energy distributions as a linear combination of continuum and emission-line templates and computes its Bayes evidence, integrating over the linear combinations. The correlation between the UV luminosity and the O ii line is measured using the 66 available bands with the zCOSMOS spectroscopic sample, and used as a prior which constrains the relative flux between continuum and emission-line templates. The flux ratios between the O ii line and Hα, Hβ and $\mathrm{O\,{\small III}}$ are similarly measured and used to generate the emission-line templates. Comparing to public spectroscopic surveys via the quantity Δz ≡ (zphoto − zspec)/(1 + zspec), we find the photometric redshifts to be more precise than previous estimates, with σ68(Δz) ≈ (0.003, 0.009) for galaxies at magnitude iAB ∼ 18 and iAB ∼ 23, respectively, which is three times and 1.66 times tighter than COSMOS2015. Additionally, we find the redshifts to be very accurate on average, yielding a median of the Δz distribution compatible with |median(Δz)| ≤ 0.001 at all redshifts and magnitudes considered. Both the added PAUS data and new methodology contribute significantly to the improved results. The catalogue produced with the technique presented here is expected to provide a robust redshift calibration for current and future lensing surveys, and allows one to probe galaxy formation physics in an unexplored luminosity-redshift regime, thanks to its combination of depth, completeness, and excellent redshift precision and accuracy.

show abstract

mentioning

confidence: 99%

The PAU Survey: an improved photo-zsample in the COSMOS field

Alarcón

Gaztañaga

Eriksen

et al. 2021

Monthly Notices of the Royal Astronomical Society

Self Cite

View full text Add to dashboard Cite

show abstract

“…is possible thanks to the PAUCam instrument (Castander et al 2012;Padilla et al 2016Padilla et al , 2019, an optical camera equipped with 40 narrow bands (NB), covering a wavelength range from 450nm to 850nm (Casas et al 2016). The NB filter set has 13nm FWHM and a separation between consecutive bands of 10nm.…”

mentioning

confidence: 99%

The PAU Survey: background light estimation with deep learning techniques

Cabayol-Garcia

Eriksen

Alarcón

et al. 2019

Monthly Notices of the Royal Astronomical Society

View full text Add to dashboard Cite

The PAU Survey (PAUS) is an imaging survey using a 40 narrow-band filter camera, named PAU Camera (PAUCam). Images obtained with the PAUCam are affected by scattered light: an optical effect consisting of light multiply reflected that deposits energy in specific detector regions contaminating the science measurements. Fortunately, scattered light is not a random effect, but it can be predicted and corrected for. However, with the current background estimation method around 8% of the PAUS flux measurements are affected by scattered light and therefore flagged. Additionally, failure to flag scattered light results in photometry and photo-z outliers. This paper introduces BKGnet, a deep neural network to predict the background and its associated error. We have found that BKGnet background predictions are very robust to distorting effects, such as scattered light and absorption, while still being statistically accurate. On average, the use of BKGnet improves the photometric flux measurements by 7% and up to 20% at the bright end. BKGnet also removes a systematic trend with magnitude in the i-band that is present with the current background estimation method. With BKGnet, we reduce the photometric redshift outlier rate by 35% for the best 20% galaxies selected with a photometric quality parameter.

show abstract

“…The survey is conducted using the PAU camera (PAUCam) [19,20], a large field of view camera installed at the William Herschel Telescope (WHT) in the Observatorio del Roque de los Muchachos in La Palma (Canary Islands, Spain). The camera is equipped with 18 CCDs that cover about 1 squared degree in the sky (the 8 central science CCDs cover about 1300 squared arcminutes, excluding the gaps between CCDs).…”

Section: Paus and Subaru Datamentioning

confidence: 99%

“…Therefore, to image a particular region of the sky in all the 40 NB filters, different observation patterns can be used. Of the various possible ones, a spiral pattern was chosen to cover the PAUS fields [20].…”

Section: Paus and Subaru Datamentioning

confidence: 99%

The PAU Survey: a forward modeling approach for narrow-band imaging

Tortorelli

Bruna

Herbel

et al. 2018

J. Cosmol. Astropart. Phys.

Self Cite

View full text Add to dashboard Cite

Weak gravitational lensing is a powerful probe of the dark sector, once measurement systematic errors can be controlled. In [1], a calibration method based on forward modeling, called MCCL, was proposed. This relies on fast image simulations (e.g., UFig) [2] that capture the key features of galaxy populations and measurement effects. The MCCL approach has been used in [3] to determine the redshift distribution of cosmological galaxy samples and, in the process, the authors derived a model for the galaxy population mainly based on broad-band photometry. Here, we test this model by forward modeling the 40 narrow-band photometry given by the novel PAU Survey (PAUS). For this purpose, we apply the same forced photometric pipeline on data and simulations using Source Extractor [4]. The image simulation scheme performance is assessed at the image and at the catalogues level. We find good agreement for the distribution of pixel values, the magnitudes, in the magnitude-size relation and the interband correlations. A principal component analysis is then performed, in order to derive a global comparison of the narrow-band photometry between the data and the simulations. We use a 'mixing' matrix to quantify the agreement between the observed and simulated sets of Principal Components (PCs). We find good agreement, especially for the first three most significant PCs. We also compare the coefficients of the PCs decomposition. While there are slight differences for some coefficients, we find that the distributions are in good agreement. Together, our results show that the galaxy population model derived from broad-band photometry is in good overall agreement with the PAUS data. This offers good prospect for incorporating spectral information to the galaxy model by adjusting it to the PAUS narrow-band data using forward modeling.

show abstract

The Physics of the Accelerating Universe Camera

Cited by 39 publications

References 51 publications

The PAU Survey: an improved photo-zsample in the COSMOS field

The PAU Survey: an improved photo-zsample in the COSMOS field

The PAU Survey: background light estimation with deep learning techniques

The PAU Survey: a forward modeling approach for narrow-band imaging

Contact Info

Product

Resources

About