MAPPING AND SIMULATING SYSTEMATICS DUE TO SPATIALLY VARYING OBSERVING CONDITIONS IN DES SCIENCE VERIFICATION DATA-猫眼课题宝

由于科学验证数据中观测条件的空间变化而绘制和模拟系统

DOI：

10.3847/0067-0049/226/2/24

发表时间：

2015

期刊：

The Astrophysical Journal Supplement Series

影响因子：

通讯作者：

中科院分区：

文献类型：

作者：

B. Leistedt;H. Peiris;F. Elsner;A. Benoit;A. Amara;A. Bauer;M. Becker;C. Bonnett;C. Bruderer;M. Busha;M. Kind;C. Chang;M. Crocce;L. Costa;E. Gaztañaga;E. Huff;O. Lahav;A. Palmese;W. Percival;A. Réfrégier;A. J. Ross;E. Rozo;E. Rykoff;C. S'anchez;I. Sadeh;I. Sevilla;F. Sobreira;E. Suchyta;M. Swanson;Risa Wechsler;F. Abdalla;S. Allam;M. Banerji;G. Bernstein;R. Bernstein;E. Bertin;S. Bridle;D. Brooks;E. Buckley;D. Burke;D. Capozzi;A. Rosell;J. Carretero;C. Cunha;C. D'Andrea;D. Depoy;S. Desai;H. Diehl;P. Doel;T. Eifler;A. Evrard;A. F. Neto;B. Flaugher;P. Fosalba;J. Frieman;D. Gerdes;D. Gruen;R. Gruendl;G. Gutiérrez;K. Honscheid;D. James;M. Jarvis;S. Kent;K. Kuehn;N. Kuropatkin;T. Li;M. Lima;M. Maia;M. March;J. Marshall;P. Martini;Peter Melchior;C. Miller;R. Miquel;R. Nichol;B. Nord;R. Ogando;A. Plazas;K. Reil;A. Romer;A. Roodman;E. Sánchez;B. Santiago;V. Scarpine;M. Schubnell;R. C. Smith;M. Soares;G. Tarlé;J. Thaler;D. Thomas;V. Vikram;A. Walker;W. Wester;Y. Zhang;J. Zuntz

空间变化的深度和观测条件的特征，如视宁度、气团或天空背景，是现代星系巡天分析中系统不确定性的主要来源，特别是在深度多历元巡天中。我们提出了一个框架，提取和投影到天空中的系统学的这些来源，并将其应用到暗能量调查（DES）映射的科学验证（SV）数据的观测条件。由此产生的分布和地图的来源的分类使用在几个分析DES-SV进行详细的零测试的数据，并将系统学的调查模拟。我们说明了这两种方法的互补性，通过比较SV数据与BCC-UFig，一个合成的天空目录生成的DES-SV图像的前向建模。我们分析了BCC-UFig模拟，以构建模仿SV星系聚类研究中使用的星系样本。我们表明，空间变化的调查深度所观察到的星系密度和红移分布的SV数据的印记成功地再现了模拟和观测条件的地图很好地捕捉。结合使用的地图，SV数据，和BCC-UFig模拟，使我们能够量化的影响，空间系统学的N（z），红移分布推断使用光度红移。我们的结论是，SV数据中的空间系统性主要是由于看到波动造成的，并且在当前的聚类和弱透镜分析中受到控制。然而，他们将需要仔细的特点，在即将到来的阶段DES，以避免偏见推断宇宙学的结果。这里提出的框架与所有多历元调查相关，对于利用未来的调查（如大型综合巡天望远镜）至关重要，这将需要详细的零测试和逼真的端到端图像模拟，以正确解释天空的深度，高节奏观测。

Spatially varying depth and the characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy survey analyses, particularly in deep multi-epoch surveys. We present a framework to extract and project these sources of systematics onto the sky, and apply it to the Dark Energy Survey (DES) to map the observing conditions of the Science Verification (SV) data. The resulting distributions and maps of sources of systematics are used in several analyses of DES–SV to perform detailed null tests with the data, and also to incorporate systematics in survey simulations. We illustrate the complementary nature of these two approaches by comparing the SV data with BCC-UFig, a synthetic sky catalog generated by forward-modeling of the DES–SV images. We analyze the BCC-UFig simulation to construct galaxy samples mimicking those used in SV galaxy clustering studies. We show that the spatially varying survey depth imprinted in the observed galaxy densities and the redshift distributions of the SV data are successfully reproduced by the simulation and are well-captured by the maps of observing conditions. The combined use of the maps, the SV data, and the BCC-UFig simulation allows us to quantify the impact of spatial systematics on N(z), the redshift distributions inferred using photometric redshifts. We conclude that spatial systematics in the SV data are mainly due to seeing fluctuations and are under control in current clustering and weak-lensing analyses. However, they will need to be carefully characterized in upcoming phases of DES in order to avoid biasing the inferred cosmological results. The framework presented here is relevant to all multi-epoch surveys and will be essential for exploiting future surveys such as the Large Synoptic Survey Telescope, which will require detailed null tests and realistic end-to-end image simulations to correctly interpret the deep, high-cadence observations of the sky.

Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data

DOI： 10.1093/mnras/stv2590

发表时间： 2015-07

期刊：

Monthly Notices of the Royal Astronomical Society

影响因子： 4.8

作者：

M. Crocce;J. Carretero;A. Bauer;A. Ross;I. Sevilla-Noarbe;T. Giannantonio;F. Sobreira;J. Sánchez-J.-S

通讯作者：

M. Crocce;J. Carretero;A. Bauer;A. Ross;I. Sevilla-Noarbe;T. Giannantonio;F. Sobreira;J. Sánchez-J.-S

CMB lensing tomography with the DES Science Verification galaxies

DOI： 10.1093/mnras/stv2678

发表时间： 2015-07

期刊：

Monthly Notices of the Royal Astronomical Society

影响因子： 4.8

作者：

T. Giannantonio;P. Fosalba;R. Cawthon;Y. Omori;M. Crocce;F. Elsner;B. Leistedt;S. Dodelson;A. Benoit-Lévy;E. Gaztañaga;G. Holder;H. Peiris;W. Percival;D. Kirk;A. Bauer;B. Benson;G. Bernstein;J. Carretero;T. Crawford;R. Crittenden;D. Huterer;B. Jain;E. Krause;C. Reichardt;A. Ross;G. Simard;B. Soergel;A. Stark;K. Story;J. Vieira;J. Weller;T. Abbott;F. Abdalla;S. Allam;R. Armstrong;M. Banerji;R. Bernstein;E. Bertin;D. Brooks;E. Buckley-Geer;D. Burke;D. Capozzi;J. Carlstrom;A. Rosell;M. Kind;F. Castander;C. Chang;C. Cunha;L. Costa;C. D'Andrea;D. Depoy;S. Desai;H. Diehl;J. Dietrich;P. Doel;T. Eifler;A. Evrard;A. F. Neto;E. Fernandez;D. Finley;B. Flaugher;J. Frieman;D. Gerdes;D. Gruen;R. Gruendl;G. Gutiérrez;W. Holzapfel;K. Honscheid;D. James;K. Kuehn;N. Kuropatkin;O. Lahav;T. Li;M. Lima;M. March;J. Marshall;P. Martini;Peter Melchior;R. Miquel;J. Mohr;R. Nichol;B. Nord;R. Ogando;A. Plazas;A. Romer;A. Roodman;E. Rykoff;M. Sako;B. Saliwanchik;E. Sánchez;M. Schubnell;I. Sevilla-Noarbe;R. C. Smith;M. Soares-Santos;F. Sobreira;E. Suchyta;M. Swanson;G. Tarlé;J. Thaler;D. Thomas;V. Vikram;A. Walker;R. Wechsler;J. Zuntz

通讯作者：

MAPPING AND SIMULATING SYSTEMATICS DUE TO SPATIALLY VARYING OBSERVING CONDITIONS IN DES SCIENCE VERIFICATION DATA

由于科学验证数据中观测条件的空间变化而绘制和模拟系统

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