We describe the internal photometric calibration of the Deep Lens Survey, which consists of five widely separated fields observed by two different observatories. Adopting the global linear least-squares (“ubercal”) approach developed for the Sloan Digital Sky Survey (SDSS), we derive flatfield corrections for all observing runs, which indicate that the original sky flats were nonuniform by up to 0.13 mag peak to valley in z band, and by up to half that amount in BVR. We show that application of these corrections reduces spatial nonuniformities in corrected exposures to the 0.01-0.02 mag level. We conclude with some lessons learned in applying ubercal to a survey structured very differently from SDSS, with isolated fields, multiple observato...
International audienceMeeting the science goals for many current and future ground-based optical lar...
The Oxford-Dartmouth Thirty Degree Survey (ODTS) is a deep, wide, multiband imaging survey designed ...
Lensing without borders is a cross-survey collaboration created to assess the consistency of galaxy-...
We present an algorithm to photometrically calibrate wide-field optical imaging surveys, which simul...
30 pages, 18 figures, submitted to MNRAS; version 2 has fixed misspelling in header information, NO ...
We present an algorithm to photometrically calibrate wide-field optical imaging surveys, which simul...
In this paper, we investigate the impact of survey strategy on the performance of self-calibration w...
We present an algorithm to photometrically calibrate widefield optical imaging surveys, that simulta...
We present details of the construction and characterization of the coaddition of the Sloan Digital S...
The science goals for ground-based large-area surveys, such as the Dark Energy Survey, Pan-STARRS, a...
We present a prescription to correct large-scale intensity variations affecting imaging data ta...
We present a recalibration of the Sloan Digital Sky Survey (SDSS) photometry with new flat fields an...
International audienceWe present two galaxy shape catalogues from the Dark Energy Survey Year 1 data...
ISBN 9780819482273International audienceWe present an innovative method for photometric calibration ...
International audienceMeeting the science goals for many current and future ground-based optical lar...
The Oxford-Dartmouth Thirty Degree Survey (ODTS) is a deep, wide, multiband imaging survey designed ...
Lensing without borders is a cross-survey collaboration created to assess the consistency of galaxy-...
We present an algorithm to photometrically calibrate wide-field optical imaging surveys, which simul...
30 pages, 18 figures, submitted to MNRAS; version 2 has fixed misspelling in header information, NO ...
We present an algorithm to photometrically calibrate wide-field optical imaging surveys, which simul...
In this paper, we investigate the impact of survey strategy on the performance of self-calibration w...
We present an algorithm to photometrically calibrate widefield optical imaging surveys, that simulta...
We present details of the construction and characterization of the coaddition of the Sloan Digital S...
The science goals for ground-based large-area surveys, such as the Dark Energy Survey, Pan-STARRS, a...
We present a prescription to correct large-scale intensity variations affecting imaging data ta...
We present a recalibration of the Sloan Digital Sky Survey (SDSS) photometry with new flat fields an...
International audienceWe present two galaxy shape catalogues from the Dark Energy Survey Year 1 data...
ISBN 9780819482273International audienceWe present an innovative method for photometric calibration ...
International audienceMeeting the science goals for many current and future ground-based optical lar...
The Oxford-Dartmouth Thirty Degree Survey (ODTS) is a deep, wide, multiband imaging survey designed ...
Lensing without borders is a cross-survey collaboration created to assess the consistency of galaxy-...