This paper describes the Hubble Space Telescope imaging data products and data reduction procedures for the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS). This survey is designed to document the evolution of galaxies and black holes at z approximate to 1.5-8, and to study Type Ia supernovae at z > 1.5. Five premier multi-wavelength sky regions are selected, each with extensive multi-wavelength observations. The primary CANDELS data consist of imaging obtained in the Wide Field Camera 3 infrared channel (WFC3/IR) and the WFC3 ultraviolet/optical channel, along with the Advanced Camera for Surveys (ACS). The CANDELS/Deep survey covers similar to 125 arcmin(2) within GOODS-N and GOODS-S, while the remainder consists of the CANDELS/Wide survey, achieving a total of similar to 800 arcmin(2) across GOODS and three additional fields (Extended Groth Strip, COSMOS, and Ultra-Deep Survey). We summarize the observational aspects of the survey as motivated by the scientific goals and present a detailed description of the data reduction procedures and products from the survey. Our data reduction methods utilize the most up-to-date calibration files and image combination procedures. We have paid special attention to correcting a range of instrumental effects, including charge transfer efficiency degradation for ACS, removal of electronic bias-striping present in ACS data after Servicing Mission 4, and persistence effects and other artifacts in WFC3/IR. For each field, we release mosaics for individual epochs and eventual mosaics containing data from all epochs combined, to facilitate photometric variability studies and the deepest possible photometry. A more detailed overview of the science goals and observational design of the survey are presented in a companion paper.

CANDELS: THE COSMIC ASSEMBLY NEAR-INFRARED DEEP EXTRAGALACTIC LEGACY SURVEY-THE HUBBLE SPACE TELESCOPE OBSERVATIONS, IMAGING DATA PRODUCTS, AND MOSAICS

ROSATI, Piero;
2011

Abstract

This paper describes the Hubble Space Telescope imaging data products and data reduction procedures for the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS). This survey is designed to document the evolution of galaxies and black holes at z approximate to 1.5-8, and to study Type Ia supernovae at z > 1.5. Five premier multi-wavelength sky regions are selected, each with extensive multi-wavelength observations. The primary CANDELS data consist of imaging obtained in the Wide Field Camera 3 infrared channel (WFC3/IR) and the WFC3 ultraviolet/optical channel, along with the Advanced Camera for Surveys (ACS). The CANDELS/Deep survey covers similar to 125 arcmin(2) within GOODS-N and GOODS-S, while the remainder consists of the CANDELS/Wide survey, achieving a total of similar to 800 arcmin(2) across GOODS and three additional fields (Extended Groth Strip, COSMOS, and Ultra-Deep Survey). We summarize the observational aspects of the survey as motivated by the scientific goals and present a detailed description of the data reduction procedures and products from the survey. Our data reduction methods utilize the most up-to-date calibration files and image combination procedures. We have paid special attention to correcting a range of instrumental effects, including charge transfer efficiency degradation for ACS, removal of electronic bias-striping present in ACS data after Servicing Mission 4, and persistence effects and other artifacts in WFC3/IR. For each field, we release mosaics for individual epochs and eventual mosaics containing data from all epochs combined, to facilitate photometric variability studies and the deepest possible photometry. A more detailed overview of the science goals and observational design of the survey are presented in a companion paper.
2011
Koekemoer, Am; Faber, Sm; Ferguson, Hc; Grogin, Na; Kocevski, Dd; Koo, Dc; Lai, K; Lotz, Jm; Lucas, Ra; Mcgrath, Ej; Ogaz, S; Rajan, A; Riess, Ag; Rodney, Sa; Strolger, L; Casertano, S; Castellano, M; Dahlen, T; Dickinson, M; Dolch, T; Fontana, A; Giavalisco, M; Grazian, A; Guo, Yc; Hathi, Np; Huang, Kh; van der Wel, A; Yan, Hj; Acquaviva, V; Alexander, Dm; Almaini, O; Ashby, Mln; Barden, M; Bell, Ef; Bournaud, F; Brown, Tm; Caputi, Ki; Cassata, P; Challis, Pj; Chary, Rr; Cheung, E; Cirasuolo, M; Conselice, Cj; Cooray, Ar; Croton, Dj; Daddi, E; Dave, R; de Mello, Df; de Ravel, L; Dekel, A; Donley, Jl; Dunlop, Js; Dutton, Aa; Elbaz, D; Fazio, Gg; Filippenko, Av; Finkelstein, Sl; Frazer, C; Gardner, Jp; Garnavich, Pm; Gawiser, E; Gruetzbauch, R; Hartley, Wg; Haussler, B; Herrington, J; Hopkins, Pf; Huang, Js; Jha, Sw; Johnson, A; Kartaltepe, Js; Khostovan, Aa; Kirshner, Rp; Lani, C; Lee, Ks; Li, Wd; Madau, P; Mccarthy, Pj; Mcintosh, Dh; Mclure, Rj; Mcpartland, C; Mobasher, B; Moreira, H; Mortlock, A; Moustakas, La; Mozena, M; Nandra, K; Newman, Ja; Nielsen, Jl; Niemi, S; Noeske, Kg; Papovich, Cj; Pentericci, L; Pope, A; Primack, Jr; Ravindranath, S; Reddy, Na; Renzini, A; Rix, Hw; Robaina, Ar; Rosario, Dj; Rosati, Piero; Salimbeni, S; Scarlata, C; Siana, B; Simard, L; Smidt, J; Snyder, D; Somerville, Rs; Spinrad, H; Straughn, An; Telford, O; Teplitz, Hi; Trump, Jr; Vargas, C; Villforth, C; Wagner, Cr; Wandro, P; Wechsler, Rh; Weiner, Bj; Wiklind, T; Wild, V; Wilson, G; Wuyts, S; Yun, Ms
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1854026
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