Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data
Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data
复制标题
DES 科学验证数据中无光谱校准样品的互相关红移校准
DOI：
10.1093/mnras/sty787
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发表时间：
2017
影响因子：
4.8
通讯作者：
Risa Wechsler
中科院分区：
文献类型：
--
作者：
C. Davis;E. Rozo;A. Roodman;A. Alarcon;R. Cawthon;M. Gatti;H. Lin;R. Miquel;E. Rykoff;M. Troxel;P. Vielzeuf;T. Abbott;F. Abdalla;S. Allam;J. Annis;K. Bechtol;A. Benoit;E. Bertin;D. Brooks;E. Buckley;D. Burke;A. Rosell;M. Kind;J. Carretero;F. Castander;M. Crocce;C. Cunha;C. D'Andrea;L. Costa;S. Desai;H. Diehl;P. Doel;A. Drlica;A. F. Neto;B. Flaugher;P. Fosalba;J. Frieman;J. Garc'ia;E. Gaztañaga;D. Gerdes;T. Giannantonio;D. Gruen;R. Gruendl;G. Gutiérrez;K. Honscheid;B. Jain;D. James;T. Jeltema;E. Krause;K. Kuehn;S. Kuhlmann;N. Kuropatkin;O. Lahav;T. Li;M. Lima;M. March;J. Marshall;P. Martini;Peter Melchior;R. Ogando;A. Plazas;A. Romer;E. Sánchez;V. Scarpine;R. Schindler;M. Schubnell;I. Sevilla;M. Smith;M. Soares;F. Sobreira;E. Suchyta;M. Swanson;G. Tarlé;D. Thomas;V. Vikram;A. Walker;Risa Wechsler
具有高保真度红移样本的星系互相关具有精确校准系统光度红移不确定性的潜力，这些不确定性是由于无法获得完整和有代表性的星系训练和验证样本而产生的。然而，这种技术在暗能量调查（DES）中的应用受到相对较低的数密度，小面积和光度和光谱样品之间的适度红移重叠的阻碍。我们建议，而不是使用可靠的光度红移的光度星表，通过互相关的photo-z校准。我们验证了我们的建议的可行性，使用redMapper集群从斯隆数字巡天（SDSS）成功恢复SDSS光谱星系的红移分布，我们演示了如何联合收割机photo-z与互相关数据校准光度红移的偏差，同时边缘化可能的集群偏差的演变，无论是校准或未知的光度样本。我们将我们的方法应用于DES科学验证（DES SV）数据，以限制弱透镜研究中选择的星系样本的光度红移分布，将层析红移分布的平均值限制在Δz ~ ±0.01的统计不确定性。我们预测，我们的建议可以，在原则上，控制光度红移的不确定性DES弱透镜实验的内在统计噪声的实验范围内的redMapPer集群可用的水平附近。我们的研究结果提供了强大的动力，推出一个程序，以充分表征系统误差的偏差演变和照片的z形状在我们的校准程序。
Galaxy cross-correlations with high-fidelity redshift samples hold the potential to precisely calibrate systematic photometric redshift uncertainties arising from the unavailability of complete and representative training and validation samples of galaxies. However, application of this technique in the Dark Energy Survey (DES) is hampered by the relatively low number density, small area, and modest redshift overlap between photometric and spectroscopic samples. We propose instead using photometric catalogues with reliable photometric redshifts for photo-z calibration via cross-correlations. We verify the viability of our proposal using redMaPPer clusters from the Sloan Digital Sky Survey (SDSS) to successfully recover the redshift distribution of SDSS spectroscopic galaxies.We demonstrate how to combine photo-z with cross-correlation data to calibrate photometric redshift biases while marginalizing over possible clustering bias evolution in either the calibration or unknown photometric samples. We apply our method to DES Science Verification (DES SV) data in order to constrain the photometric redshift distribution of a galaxy sample selected for weak lensing studies, constraining the mean of the tomographic redshift distributions to a statistical uncertainty of Δz ~ ±0.01. We forecast that our proposal can, in principle, control photometric redshift uncertainties in DES weak lensing experiments at a level near the intrinsic statistical noise of the experiment over the range of redshifts where redMaPPer clusters are available. Our results provide strong motivation to launch a programme to fully characterize the systematic errors from bias evolution and photo-z shapes in our calibration procedure.
影响因子：
4.8
作者：
H. Hildebrandt;M. Viola;C. Heymans;S. Joudaki;K. Kuijken;C. Blake;T. Erben;B. Joachimi;D. Klaes
通讯作者：
H. Hildebrandt;M. Viola;C. Heymans;S. Joudaki;K. Kuijken;C. Blake;T. Erben;B. Joachimi;D. Klaes