A5068893165- Galaxies: Formation, Evolution, Phenomena
- Astronomy and Astrophysical Research
- Gamma-ray bursts and supernovae
- CCD and CMOS Imaging Sensors
- Stellar, planetary, and galactic studies
- Calibration and Measurement Techniques
- Advanced Vision and Imaging
- Remote Sensing in Agriculture
- Radio Astronomy Observations and Technology
- Gaussian Processes and Bayesian Inference
- Astrophysics and Cosmic Phenomena
- Scientific Research and Discoveries
- Data Visualization and Analytics
- Advanced Image Processing Techniques
Institute for High Energy Physics
2018-2024
Institute of Science and Technology
2024
Port d'Informació Científica
2023-2024
The PAU Survey (PAUS) is an innovative photometric survey with 40 narrow bands at the William Herschel Telescope (WHT). are spaced 100\AA\ intervals covering range 4500\AA\ to 8500\AA\ and, in combination standard broad bands, enable excellent redshift precision. This paper describes technique, galaxy templates and additional calibration used determine early redshifts from PAUS. Using BCNz2, a new code developed for this purpose, we characterise performance using PAUS data on COSMOS field....
We present -- and make publicly available accurate precise photometric redshifts in the ACS footprint from COSMOS field for objects with $i_{\mathrm{AB}}\leq 23$. The are computed using a combination of narrow band photometry PAUS, survey 40 bands spaced at $100\r{A}$ intervals covering range $4500\r{A}$ to $8500\r{A}$, 26 broad, intermediate, UV, visible near infrared spectrum COSMOS2015 catalogue. introduce new method that models spectral energy distributions (SEDs) as linear continuum...
The PAU (Physics of the Accelerating Universe) Survey goal is to obtain photometric redshifts (photo-z) and Spectral Energy Distribution (SED) astronomical objects with a resolution roughly one order magnitude better than current broad band surveys. To accomplish this, new large field view camera (PAUCam) has been designed, built, commissioned now operated at William Herschel Telescope (WHT). With WHT Prime Focus corrector, covers ~1-degree diameter Field View (FoV), which, only inner ~40...
In this paper we introduce the \textsc{Deepz} deep learning photometric redshift (photo-$z$) code. As a test case, apply code to PAU survey (PAUS) data in COSMOS field. reduces $\sigma_{68}$ scatter statistic by 50\% at $i_{\rm AB}=22.5$ compared existing algorithms. This improvement is achieved through various methods, including transfer from simulations where training set consists of as well observations, which need for data. The probability distribution estimated with mixture density...
ABSTRACT We use the GALFORM semi-analytical galaxy formation model implemented in Planck Millennium N-body simulation to build a mock catalogue on an observer’s past lightcone. The mass resolution of this is almost order magnitude better than previous simulations used for purpose, allowing us probe fainter galaxies and hence more complete at low redshifts. high time cadence outputs allows make improved calculations properties positions mock. test predictions against Physics Accelerating...
Classification of stars and galaxies is a well-known astronomical problem that has been treated using different approaches, most them relying on morphological information. In this paper, we tackle issue the low-resolution spectra from narrow-band photometry, provided by Physics Accelerating Universe survey. We find that, with photometric fluxes 40 filters without including information, it possible to separate very high precision, |$98.4{{\ \rm per\ cent}}$| purity completeness |$98.8{{\ for...
We study the performance of hybrid template-machine-learning photometric redshift (photo-$z$) algorithm Delight, which uses Gaussian processes, on a subset early data release Physics Accelerating Universe Survey (PAUS). calibrate fluxes $40$ PAUS narrow bands with $6$ broadband ($uBVriz$) in COSMOS field using three different methods, including new method utilises correlation between apparent size and overall flux galaxy. use rich set empirically derived galaxy spectral templates as guides...
Abstract Narrow-band imaging surveys allow the study of spectral characteristics galaxies without need performing their spectroscopic follow-up. In this work, we forward-model Physics Accelerating Universe Survey (PAUS) narrow-band data. The aim is to improve constraints on coefficients used create galaxy energy distributions (SED) population model in Tortorelli et al. 2020. that parameters were inferred from Canada-France-Hawaii Telescope Legacy (CFHTLS) data using Approximate Bayesian...
Current and future imaging surveys require photometric redshifts (photo-zs) to be estimated for millions of galaxies. Improving the photo-z quality is a major challenge but needed advance our understanding cosmology. In this paper we explore how synergies between narrow-band data large can exploited improve broadband redshifts. We used multi-task learning (MTL) network estimates by simultaneously predicting photometry from photometry. The only required in training field, which also enables...
ABSTRACT The physics of the accelerating Universe (PAU) camera is an optical narrow band and broad imaging instrument mounted at prime focus William Herschel Telescope. We describe image calibration procedure PAU survey data. rely on external photometric catalogue to calibrate our data using stars that have been observed by both sets. fit stellar templates broad-band photometry Sloan Digital Sky Survey synthesize we compare PAUS determine their calibration. Consequently, are in AB system as...
We present the first measurements of projected clustering and intrinsic alignments (IA) galaxies observed by Physics Accelerating Universe Survey (PAUS). With photometry in 40 narrow optical passbands ($450\rm{nm}-850\rm{nm}$), quality photometric redshift estimation is $\sigma_{z} \sim 0.01(1 + z)$ for $19\,\rm{deg}^{2}$ Canada-France-Hawaii Telescope Legacy (CFHTLS) W3 field, allowing us to measure 3D IA flux-limited, faint ($i < 22.5$) out $z\sim0.8$. To two-point statistics, we...
With the dramatic rise in high-quality galaxy data expected from Euclid and Vera C. Rubin Observatory, there will be increasing demand for fast high-precision methods measuring fluxes. These essential inferring redshifts of galaxies. In this paper, we introduce Lumos, a deep learning method to measure photometry images. Lumos builds on BKGnet, an algorithm predict background its associated error, predicts background-subtracted flux probability density function. We have developed Physics...
The D4000 spectral break index is one of the most important features in visible spectrum, as it a proxy for stellar ages and also used galaxy classification. However, its direct measurement has always been reserved to spectroscopy. Here, we present general method directly measure with narrow-band (NB) photometry; validated using realistic simulations, then evaluated PAUS NBs, cross-matched VIPERS spectra ($i_{\rm AB} < 22.5$, $0.562 z 0.967$). We reconstruct SED-fitting code CIGALE; use NBs...
In this work, we explore the application of intensity mapping to detect extended Ly$\alpha$ emission from IGM via cross-correlation PAUS images with forest data eBOSS and DESI. Seven narrow-band (FWHM=13nm) filters have been considered, ranging 455 515 nm in steps 10 nm, which allows observation a range $2.7<z<3.3$. The is simulated first an area 100 deg$^2$ (PAUS projected coverage), second two hypothetical scenarios: deeper (complete up $i_{\rm AB}<24$ instead AB}<23$, time x6), coverage...
ABSTRACT PAUCam is an innovative optical narrow-band imager mounted at the William Herschel Telescope built for Physics of Accelerating Universe Survey (PAUS). Its set 40 filters results in images that are complex to calibrate, with specific instrumental signatures cannot be processed traditional data reduction techniques. In this paper, we present two pipelines developed by PAUS management team objective producing science-ready catalogues from uncalibrated raw images. The Nightly pipeline...
ABSTRACT Galaxy pairs constitute the initial building blocks of galaxy evolution, which is driven through merger events and interactions. Thus, analysis these systems can be valuable in understanding evolution studying structure formation. In this work, we present a new publicly available catalogue close identified using photometric redshifts provided by Physics Accelerating Universe Survey (PAUS). To efficiently detect them, take advantage high-precision photo−z (σ68 &lt; 0.02) apply an...
The Physics of the Accelerating Universe (PAU) camera is an optical narrow band and broad imaging instrument mounted at prime focus William Herschel Telescope. We describe image calibration procedure PAU Survey data. rely on external photometric catalogue to calibrate our data using stars that have been observed by both datasets. fit stellar templates photometry Sloan Digital Sky synthesise we compare PAUS determine their calibration. Consequently, are in AB system as inherited from its...
ABSTRACT We present photometric redshifts (photo-z) for the deep wide fields of Physics Accelerating Universe Survey (PAUS), covering an area $\sim$50 deg$^{2}$, $\sim$1.8 million objects up to $i_{\rm {AB}}\lt 23$. The PAUS overlap with W1 and W3 from CFHTLenS G09 field KiDS/GAMA. Photo-z are estimated using 40 narrow bands (NB) broad-bands (BB) KiDS. compute SED template-fitting code bcnz, a modification in calibration technique zero-point between observed modelled fluxes, that removes any...
We present an application of unsupervised Machine Learning Clustering to the PAU Survey galaxy spectral energy distribution (SED) within COSMOS field. The clustering algorithm is implemented and optimized get relevant groups in data SEDs. find 12 from a total number 5,234 targets survey at $0.01 <$ z $< 0.28$. Among groups, 3,545 galaxies (68\%) show emission lines These also include 1,689 old with no active star formation. have fitted SED every single each group CIGALE. mass, age specific...
We present photometric redshifts (photo-$z$) for the deep wide fields of Physics Accelerating Universe Survey (PAUS), covering an area $\sim$50 deg$^{2}$, $\sim$1.8 million objects up to $i_{\textrm{AB}}<23$. The PAUS overlap with W1 and W3 from CFHTLenS G09 field KiDS/GAMA. Photo-$z$ are estimated using 40 narrow bands (NB) broad (BB) KiDS. compute SED template-fitting code BCNZ, a modification in calibration technique zero-point between observed modelled fluxes, that removes any dependence...
We use the GALFORM semi-analytical galaxy formation model implemented in Planck Millennium N-body simulation to build a mock catalogue on an observer's past lightcone. The mass resolution of this is almost order magnitude better than previous simulations used for purpose, allowing us probe fainter galaxies and hence more complete at low redshifts. high time cadence outputs allows make improved calculations properties positions mock. test predictions against Physics Accelerating Universe...