J/A+A/559/A85ivo://CDS.VizieR/J/A+A/559/A85doi:10.26093/cds/vizier.35590085CDSPalanque-Delabrouille N.Yeche C.Borde A.Le Goff J.-M.Rossi G.,Viel M.Aubourg E.Bailey S.Bautista J.Blomqvist M.Bolton A.,Bolton J.S.Busca N.G.Carithers B.Croft R.A.C.Dawson K.S.,Delubac T.Font-Ribera A.Ho S.Kirkby D.Lee K.-G.Margala D.,Miralda-Escude J.Muna D.Myers A.D.Noterdaeme P.Paris I.,Petitjean P.Pieri M.M.Rich J.Rollinde E.Ross N.P.Schlegel D.J.,Schneider D.P.Slosar A.Weinberg D.H.2014-05-25T23:49:52Z2013-11-19T12:20:42ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frastronomical-modelsspectroscopyWe have developed two independent methods to measure the one-dimensional power spectrum of the transmitted flux in the Lyman-{alpha} forest. The first method is based on a Fourier transform, and the second on a maximum likelihood estimator. The two methods are independent and have different systematic uncertainties. The determination of the noise level in the data spectra was subject to a novel treatment, because of its significant impact on the derived power spectrum. We applied the two methods to 13,821 quasar spectra from SDSS-III/BOSS DR9 (Baryon Oscillation Spectroscopic Survey, BOSS, 2013AJ....145...10D) selected from a larger sample of over 60,000 spectra on the basis of their high quality, large signal-to-noise ratio, and good spectral resolution. The power spectra measured using either approach are in good agreement over all twelve redshift bins from <z>=2.2 to <z>=4.4, and scales from 0.001(km/s)^-1^ to 0.02(km/s)^-1^. We determine the methodological and instrumental systematic uncertainties of our measurements.2013A&A...559A..85Phttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/559/A85CatalogResearchIsServedByTAP VizieR generic servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/559/A85https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/559/A85http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/559/A85https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/559/A85https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/559/A85http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/559/A85GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapOpticaldefaultJ/A+A/559/A85/table4aPower spectrum with the Fourier transformrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintnz[1/12] Redshift bin numbermeta.idintnk[1/35] Scale number within the redshift binmeta.idintz[2.2/4.4] Redshift bin (1)src.redshiftfloatk[0.001/0.020] Scale value (2)s/kminstr.scaledoublePkPower spectrum Pkkm/sstat.fit.paramfloatPkstatStatistical 1{sigma} uncertainty on Pkkm/sstat.fit.paramfloatPknoiseNoise power spectrum Pk_noise-/W^2^km/sstat.fit.paramfloatPkmetalMetals power spectrum Pk_metal_km/sstat.fit.paramfloatPksystSystematic 1{sigma} uncertainty on Pkkm/sstat.fit.paramfloatCCDisplay the correlation matrix between scales for this redshift binmeta.ref.urlcharJ/A+A/559/A85/table5aPower spectrum with the likelihoodrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintnz[1/12] Redshift bin numbermeta.idintnk[1/35] Scale number within the redshift binmeta.idintz[2.2/4.4] Redshift bin (1)src.redshiftfloatk[0.001/0.020] Scale value (2)s/kminstr.scaledoublePkPower spectrum Pkkm/sstat.fit.paramfloatPkstatStatistical 1{sigma} uncertainty on Pkkm/sstat.fit.paramfloatPknoiseNoise power spectrum Pk_noise-/W^2^km/sstat.fit.paramfloatPkmetalMetals power spectrum Pk_metal_km/sstat.fit.paramfloatPksystSystematic 1{sigma} uncertainty on Pkkm/sstat.fit.paramfloatCCDisplay the correlation matrix between scales for this redshift binmeta.ref.urlchar