Ignacio Sevilla

The Dark Energy Survey Data Processing and Calibration System

The Dark Energy Survey (DES) is a 5000 deg2 grizY survey reaching characteristic photometric depths of 24th magnitude (10 sigma) and enabling accurate photometry and morphology of objects ten times fainter than in SDSS. Preparations for DES have included building a dedicated 3 deg2 CCD camera (DECam), upgrading the existing CTIO Blanco 4m telescope and developing a new high performance computing (HPC) enabled data management system (DESDM). The DESDM system will be used for processing, calibrating and serving the DES data. The total data volumes are high (~ 2PB), and so considerable effort has gone into designing an automated processing and quality control system. Special purpose image detrending and photometric calibration codes have been developed to meet the data quality requirements, while survey astrometric calibration, coaddition and cataloging rely on new extensions of the AstrOmatic codes which now include tools for PSF modeling, PSF homogenization, PSF corrected model fitting cataloging and joint model fitting across multiple input images. The DESDM system has been deployed on dedicated development clusters and HPC systems in the US and Germany. An extensive program of testing with small rapid turn-around and larger campaign simulated datasets has been carried out. The system has also been tested on large real datasets, including Blanco Cosmology Survey data from the Mosaic2 camera. In Fall 2012 the DESDM system will be used for DECam commissioning, and, thereafter, the system will go into full science operations.

Star/galaxy separation at faint magnitudes: application to a simulated Dark Energy Survey

We address the problem of separating stars from galaxies in future large photometric surveys. We focus our analysis on simulations of the Dark Energy Survey (DES). In the first part of the paper, we derive the science requirements on star/galaxy separation, for measurement of the cosmological parameters with the gravitational weak lensing and large-scale structure probes. These requirements are dictated by the need to control both the statistical and systematic errors on the cosmological parameters, and by point spread function calibration. We formulate the requirements in terms of the completeness and purity provided by a given star/galaxy classifier. In order to achieve these requirements at faint magnitudes, we propose a new method for star/galaxy separation in the second part of the paper. We first use principal component analysis to outline the correlations between the objects parameters and extract from it the most relevant information. We then use the reduced set of parameters as input to an Artificial Neural Network. This multiparameter approach improves upon purely morphometric classifiers (such as the classifier implemented in SExtractor), especially at faint magnitudes: it increases the purity by up to 20 per cent for stars and by up to 12 per cent for galaxies, at i-magnitude fainter than 23

DES J0454−4448: discovery of the first luminous z ≥ 6 quasar from the Dark Energy Survey

We present the first results of a survey for high redshift, z > 6, quasars using izY multi-colour photometric observations from the Dark Energy Survey (DES). Here we report the discovery and spectroscopic confirmation of the zAB;YAB = 20.2, 20.2 (M1450 = 26.5) quasar DES J0454 4448 with an emission line redshift of z = 6.10 0.03 and a HI near zone size of 4.6 1.7 Mpc. The quasar was selected as an i-band drop out with i z = 2.46 and zAB 50-100 new quasars with z> 6 including 3-10 with z> 7 dramatically increasing the numbers of quasars currently known that are suitable for detailed studies including determination of the neutral HI fraction of the intergalactic medium (IGM) during the epoch of Hydrogen reionization.

Combining Dark Energy Survey Science Verification Data with Near Infrared Data from the ESO VISTA Hemisphere Survey

We present the combination of optical data from the Science Verification phase of the Dark Energy Survey (DES) with near-infrared (NIR) data from the European Southern Observatory VISTA Hemisphere Survey (VHS). The deep optical detections from DES are used to extract fluxes and associated errors from the shallower VHS data. Joint seven-band (grizYJK) photometric catalogues are produced in a single 3 sq-deg dedicated camera field centred at 02h26m-04d36m where the availability of ancillary multiwavelength photometry and spectroscopy allows us to test the data quality. Dual photometry increases the number of DES galaxies with measured VHS fluxes by a factor of ~4.5 relative to a simple catalogue level matching and results in a ~1.5 mag increase in the 80 per cent completeness limit of the NIR data. Almost 70 per cent of DES sources have useful NIR flux measurements in this initial catalogue. Photometric redshifts are estimated for a subset of galaxies with spectroscopic redshifts and initial results, although currently limited by small number statistics, indicate that the VHS data can help reduce the photometric redshift scatter at both z 1. We present example DES+VHS colour selection criteria for high-redshift luminous red galaxies (LRGs) at z ~ 0.7 as well as luminous quasars. Using spectroscopic observations in this field we show that the additional VHS fluxes enable a cleaner selection of both populations with <10 per cent contamination from galactic stars in the case of spectroscopically confirmed quasars and <0.5 per cent contamination from galactic stars in the case of spectroscopically confirmed LRGs. The combined DES+VHS data set, which will eventually cover almost 5000 sq-deg, will therefore enable a range of new science and be ideally suited for target selection for future wide-field spectroscopic surveys.

Precise measurement of the radial baryon acoustic oscillation scales in galaxy redshift surveys

In this paper we present a new method to extract cosmological parameters using the radial scale of the Baryon Acoustic Oscillations as a standard ruler in deep galaxy surveys. The method consists in an empirical parametrization of the radial 2-point correlation function, which provides a robust and precise extraction of the sound horizon scale. Moreover, it uses data from galaxy surveys in a manner that is fully cosmology independent and therefore, unbiased. A study of the main systematic errors and the validation of the method in cosmological simulations are also presented, showing that the measurement is limited only by cosmic variance. We then study the full information contained in the Baryon Acoustic Oscillations, obtaining that the combination of the radial and angular determinations of this scale is a very sensitive probe of cosmological parameters, able to set strong constraints on the dark energy properties, even without combining it with any other probe.

Concurrent CPU-GPU Code Optimization: The Two-Point Angular Correlation Function as Case Study

Nowadays many computational systems are endowed of multi-cores in the main processor units, and one or more many-core cards. This makes possible the execution of codes on both computational resources concurrently. The challenge in this scenario is to balance correctly both execution paths. When the scenario is simple enough, by-hand optimization can be affordable, otherwise metaheuristic techniques are mandatory. In this work, Differential Evolution algorithm is implemented to optimize a concurrent CPU-GPU code calculating the Two-Point Angular Correlation Function applied to the study of Large-Scale Structure of the Universe. The Two-Point Angular Correlation Function is a computationally intensive function, requiring the calculation of three histograms with different execution times. Therefore, this forces to implement a parameter for describing the percentage of computation in CPU per histogram, and the counterpart in GPU; and to use metaheuristic techniques to fit the appropriate values for these three percentages. As a consequence of the optimization process described in this article, a significant reduction of the execution time is achieved. This proof of concept demonstrates that Evolutionary Algorithms are useful for fairly balancing computational paths in concurrent computing scenarios.

The PAU camera and the PAU survey at the William Herschel Telescope

The Physics of the Accelerating Universe (PAU) is a project whose main goal is the study of dark energy. For this purpose, a new large field of view camera (the PAU Camera, PAUCam) is being built. PAUCam is designed to carry out a wide area imaging survey with narrow and broad band filters spanning the optical wavelength range. The PAU Camera is now at an advance stage of construction. PAUCam will be mounted at the prime focus of the William Herschel Telescope. With the current WHT corrector, it will cover a 1 degree diameter field of view. PAUCam mounts eighteen 2k×4k Hamamatsu fully depleted CCDs, with high quantum efficiency up to 1 μm. Filter trays are placed in front of the CCDs with a technologically challenging system of moving filter trays inside the cryostat. The PAU Camera will use a new set of 42 narrow band filters ranging from ~4400 to ~8600 angstroms complemented with six standard broad-band filters, ugrizY. With PAUCam at the WHT we will carry out a cosmological imaging survey in both narrow and broad band filters that will perform as a low resolution spectroscopic survey. With the current survey strategy, we will obtain accurate photometric redshifts for galaxies down to iAB~22.5 detecting also galaxies down to iAB~24 with less precision in redshift. With this data set we will obtain competitive constraints in cosmological parameters using both weak lensing and galaxy clustering as main observational probes.

Test benches facilities for PAUCam: CCDs and filters characterization

The PAUCam [1] is an optical camera with a 18 CCDs (Hamamatsu Photonics K.K.) mosaic and up to 42 narrow- and broad-band filters. It is foreseen to install it at the William Herschel Telescope (WHT) in the Observatorio del Roque de los Muchachos, Canary Islands, Spain. As required by the camera construction, a couple of test bench facilities were developed, one in Madrid (CIEMAT) that is mainly devoted to CCDs read-out electronics development and filter characterization [2], and another in Barcelona (IFAE-ICE) that has as its main task to characterize the scientific CCDs in terms of Dark Current, CTE, QE, RON and many other parameters demanded by the scientific performance required. The full CCDs characterization test bench layout, its descriptions and some optical and mechanical characterization results are summarized in this paper.

PAU camera: detectors characterization

The PAU Camera (PAUCam) [1,2] is a wide field camera that will be mounted at the corrected prime focus of the William Herschel Telescope (Observatorio del Roque de los Muchachos, Canary Islands, Spain) in the next months. The focal plane of PAUCam is composed by a mosaic of 18 CCD detectors of 2,048 x 4,176 pixels each one with a pixel size of 15 microns, manufactured by Hamamatsu Photonics K. K. This mosaic covers a field of view (FoV) of 60 arcmin (minutes of arc), 40 of them are unvignetted. The behaviour of these 18 devices, plus four spares, and their electronic response should be characterized and optimized for the use in PAUCam. This job is being carried out in the laboratories of the ICE/IFAE and the CIEMAT. The electronic optimization of the CCD detectors is being carried out by means of an OG (Output Gate) scan and maximizing it CTE (Charge Transfer Efficiency) while the read-out noise is minimized. The device characterization itself is obtained with different tests. The photon transfer curve (PTC) that allows to obtain the electronic gain, the linearity vs. light stimulus, the full-well capacity and the cosmetic defects. The read-out noise, the dark current, the stability vs. temperature and the light remanence.

PAUCam filter interchange system

The Physics of the Accelerating Universe (PAU) is a new project whose main goal is to study dark energy surveying the galaxy distribution. For that purpose we need to determine the galaxy redshifts. The most accurate way to determine the redshift of a galaxy and measure its spectral energy distribution (SED) is achieved with spectrographs. The PAU collaboration is building an instrument (PAUCam) devoted to perform a large area survey for cosmological studies using an alternative approach. SEDs are sampled and redshifts determined using narrow band filter photometry. For efficiency and manufacturability considerations, the filters need to be placed close to the CCD detector surfaces on segmented filter trays. The most innovative element of PAUCam is a set of 16 different exchangeable trays to support the filters arranged in a jukebox-like changing mechanism inside the cryostat. The device is designed to operate within the range of temperatures from 150K to 300K at the absolute pressure of 10-8mbar, being class-100 compliant.