Deep Fields
DOI: 10.1007/10854354_75
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The 2dF QSO Redshift Survey

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Cited by 58 publications
(144 citation statements)
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“…A significant advantage of the SHS data over its rivals is the ability to detect point sources that have been photometrically calibrated to CCD standards (e.g. Boyle, Shanks & Croom 1995; Croom et al 1999). With measurements of isophotal magnitude and object classifications, it is possible to apply a photometric calibration to the Hα and SR films by comparing the SuperCOSMOS raw magnitudes of stars from the Tycho‐2 Catalogue (Hog et al 2000) and the Guide Star Photometric Catalogue (Lasker et al 1988).…”
Section: Shs Point Source Photometrymentioning
confidence: 99%
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“…A significant advantage of the SHS data over its rivals is the ability to detect point sources that have been photometrically calibrated to CCD standards (e.g. Boyle, Shanks & Croom 1995; Croom et al 1999). With measurements of isophotal magnitude and object classifications, it is possible to apply a photometric calibration to the Hα and SR films by comparing the SuperCOSMOS raw magnitudes of stars from the Tycho‐2 Catalogue (Hog et al 2000) and the Guide Star Photometric Catalogue (Lasker et al 1988).…”
Section: Shs Point Source Photometrymentioning
confidence: 99%
“…With measurements of isophotal magnitude and object classifications, it is possible to apply a photometric calibration to the Hα and SR films by comparing the SuperCOSMOS raw magnitudes of stars from the Tycho‐2 Catalogue (Hog et al 2000) and the Guide Star Photometric Catalogue (Lasker et al 1988). These in turn are checked against photometric standards derived from the CCD observations given by Croom et al (1999) and Boyle et al (1995). The narrow‐band Hα images are calibrated to an ‘R‐equivalent’ scale.…”
Section: Shs Point Source Photometrymentioning
confidence: 99%
“…In this case, according to the convolution theorem, the resulting power spectrum signal is damped along the radial direction where g ( k x ) = exp[−( k x σ x ) 2 ] is the square of the Fourier transform of f ( x ). The power spectrum of the resulting distribution is measured using standard estimation tools: essentially this involves taking the Fourier transform of the density field, subtracting that of the survey window function and binning up the resulting modes in k ‐space (see e.g. Hoyle et al 2002; note that we do not use the optimal weighting technique presented by Feldman, Kaiser & Peacock (1994) because this does not represent a simple convolution of the density field and consequently step (xiii) below would not be possible). Power spectrum modes in Fourier space are divided into bins of total k , up to a maximum of k lin .…”
Section: Modelling the Power Spectrum Of Photometric Redshift Surveysmentioning
confidence: 99%
“…The spectra of the first 10 000 2QZ QSOs were released in 2001 April (Croom et al 2001a) and can be obtained at http://www.2dfquasar.org. Hoyle et al (2002) used these QSOs to measure the QSO power spectrum. They found that the QSO power spectrum has similar amplitude to that of local galaxies, and little evolution is seen with redshift.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we re‐apply the power spectrum analysis described in Hoyle et al (2002) to the final 2QZ catalogue containing 22 652 QSOs. As well as having more than twice as many QSOs as available to Hoyle et al this data set has a much cleaner window function, significantly reducing the potential systematics on large scales.…”
Section: Introductionmentioning
confidence: 99%