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Observations of redshift-space distortions in spectroscopic galaxy surveys offer an attractive method for observing the build-up of cosmological structure. In this paper we develop and test a new statistic based on anisotropies in the…

Astrophysics · Physics 2009-11-13 Will J Percival , Martin White

The Emission Line Galaxy survey made by the Dark Energy Spectroscopic Instrument (DESI) survey will be created from five passes of the instrument on the sky. On each pass, the constrained mobility of the ends of the fibres in the DESI focal…

Cosmology and Nongalactic Astrophysics · Physics 2018-10-15 Davide Bianchi , Angela Burden , Will J. Percival , David Brooks , Robert N. Cahn , Jaime E. Forero-Romero , Michael Levi , Ashley J. Ross , Gregory Tarle

The spectral energy distribution (SED) is a relatively easy way for astronomers to distinguish between different astronomical objects such as galaxies, black holes, and stellar objects. By comparing the observations from a source at…

Methodology · Statistics 2015-01-13 Justin J. Yang , Xufei Wang , Pavlos Protopapas , Luke Bornn

We present a principled Bayesian framework for signal reconstruction, in which the signal is modelled by basis functions whose number (and form, if required) is determined by the data themselves. This approach is based on a Bayesian…

Instrumentation and Methods for Astrophysics · Physics 2019-01-23 Edward Higson , Will Handley , Michael Hobson , Anthony Lasenby

We present a simulation-based cosmological analysis using a combination of Gaussian and non-Gaussian statistics of the weak lensing mass (convergence) maps from the first three years (Y3) of the Dark Energy Survey (DES). We implement: 1)…

The fiducial cosmological analyses of imaging galaxy surveys like the Dark Energy Survey (DES) typically probe the Universe at redshifts $z < 1$. This is mainly because of the limited depth of these surveys, and also because such analyses…

We highlight the flexibility of the IPSO experiment-design framework by contrasting its application to CMB, weak lensing and redshift surveys. We illustrate the latter with a 10 parameter MCMC D-optimisation of a dark energy redshift…

Astrophysics · Physics 2009-11-10 Bruce A. Bassett , David Parkinson , Robert C. Nichol

We assess the accuracy with which future galaxy surveys can measure cosmological parameters by deriving a handy approximation that we validate numerically. We find that galaxy surveys are quite complementary to future Cosmic Microwave…

Astrophysics · Physics 2009-10-07 Max Tegmark

Sky surveys represent a fundamental data basis for astronomy. We use them to map in a systematic way the universe and its constituents, and to discover new types of objects or phenomena. We review the subject, with an emphasis on the…

Instrumentation and Methods for Astrophysics · Physics 2015-05-20 S. G. Djorgovski , A. A. Mahabal , A. J. Drake , M. J. Graham , C. Donalek

The effects of sampling are investigated on measurements of counts-in-cells in three-dimensional magnitude limited galaxy surveys, with emphasis on moments of the underlying smooth galaxy density field convolved with a spherical window. A…

Astrophysics · Physics 2009-10-30 S. Colombi , I. Szapudi , A. S. Szalay

A non-negligible source of systematic bias in cosmological analyses of galaxy surveys is the on-sky modulation caused by foregrounds and variable image characteristics such as observing conditions. Standard mitigation techniques perform a…

Cosmology and Nongalactic Astrophysics · Physics 2023-03-15 Edgar Eggert , Boris Leistedt

The problem of learning a sparse model is conceptually interpreted as the process of identifying active features/samples and then optimizing the model over them. Recently introduced safe screening allows us to identify a part of non-active…

Machine Learning · Statistics 2016-02-09 Atsushi Shibagaki , Masayuki Karasuyama , Kohei Hatano , Ichiro Takeuchi

Wide angle and deep surveys, regardless of their primary purpose, always sample a large number of stars in the Galaxy and in its satellite system. We here make a forecast of the expected stellar sample resulting from the Dark Energy Survey…

Sparsity has been recently introduced in cosmology for weak-lensing and CMB data analysis for different applications such as denoising, component separation or inpainting (i.e. filling the missing data or the mask). Although it gives very…

Instrumentation and Methods for Astrophysics · Physics 2015-06-15 J. -L. Starck , D. L. Donoho , M. J. Fadili , A. Rassat

Recent results in compressed sensing showed that the optimal subsampling strategy should take into account the sparsity pattern of the signal at hand. This oracle-like knowledge, even though desirable, nevertheless remains elusive in most…

Information Theory · Computer Science 2023-06-28 Simon Ruetz

We derive and implement a full Bayesian large scale structure inference method aiming at precision recovery of the cosmological power spectrum from galaxy redshift surveys. Our approach improves over previous Bayesian methods by performing…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-16 Jens Jasche , Benjamin D. Wandelt

We consider cosmological applications of galaxy number density correlations to be inferred from future deep and wide multi-band optical surveys. We mostly focus on very large scales as a probe of possible features in the primordial power…

Astrophysics · Physics 2009-11-13 Hu Zhan , Lloyd Knox , J. Anthony Tyson , Vera Margoniner

The combination of multiple observational probes has long been advocated as a powerful technique to constrain cosmological parameters, in particular dark energy. The Dark Energy Survey has measured 207 spectroscopically--confirmed Type Ia…

Cosmology and Nongalactic Astrophysics · Physics 2019-05-07 DES Collaboration , T. M. C. Abbott , A. Alarcon , S. Allam , P. Andersen , F. Andrade-Oliveira , J. Annis , J. Asorey , A. Avelino , S. Avila , D. Bacon , N. Banik , B. A. Bassett , E. Baxter , K. Bechtol , M. R. Becker , G. M. Bernstein , E. Bertin , J. Blazek , S. L. Bridle , D. Brooks , D. Brout , D. L. Burke , J. Calcino , H. Camacho , A. Campos , A. Carnero Rosell , D. Carollo , M. Carrasco Kind , J. Carretero , F. J. Castander , R. Cawthon , P. Challis , K. C. Chan , C. Chang , M. Childress , A. Clocchiatti , M. Crocce , C. E. Cunha , C. B. D'Andrea , L. N. da Costa , C. Davis , T. M. Davis , J. De Vicente , D. L. DePoy , J. DeRose , S. Desai , H. T. Diehl , J. P. Dietrich , S. Dodelson , P. Doel , A. Drlica-Wagner , T. F. Eifler , J. Elvin-Poole , J. Estrada , A. E. Evrard , E. Fernandez , A. V. Filippenko , B. Flaugher , R. J. Foley , P. Fosalba , J. Frieman , L. Galbany , J. García-Bellido , M. Gatti , E. Gaztanaga , D. W. Gerdes , T. Giannantonio , K. Glazebrook , D. A. Goldstein , D. Gruen , R. A. Gruendl , J. Gschwend , G. Gutierrez , W. G. Hartley , S. R. Hinton , D. L. Hollowood , K. Honscheid , J. K. Hoormann , B. Hoyle , D. Huterer , B. Jain , D. J. James , M. Jarvis , T. Jeltema , E. Kasai , S. Kent , R. Kessler , A. G. Kim , R. P. Kirshner , N. Kokron , E. Krause , R. Kron , K. Kuehn , N. Kuropatkin , O. Lahav , J. Lasker , P. Lemos , G. F. Lewis , T. S. Li , C. Lidman , M. Lima , H. Lin , E. Macaulay , N. MacCrann , M. A. G. Maia , K. S. Mandel , M. March , J. Marriner , J. L. Marshall , P. Martini , R. G. McMahon , P. Melchior , F. Menanteau , R. Miquel , J. J. Mohr , E. Morganson , J. Muir , A. Möller , E. Neilsen , R. C. Nichol , B. Nord , R. L. C. Ogando , A. Palmese , Y. -C. Pan , H. V. Peiris , W. J. Percival , A. A. Plazas , A. Porredon , J. Prat , A. K. Romer , A. Roodman , R. Rosenfeld , A. J. Ross , E. S. Rykoff , S. Samuroff , C. Sánchez , E. Sanchez , V. Scarpine , R. Schindler , M. Schubnell , D. Scolnic , L. F. Secco , S. Serrano , I. Sevilla-Noarbe , R. Sharp , E. Sheldon , M. Smith , M. Soares-Santos , F. Sobreira , N. E. Sommer , E. Swann , M. E. C. Swanson , G. Tarle , D. Thomas , R. C. Thomas , M. A. Troxel , B. E. Tucker , S. A. Uddin , P. Vielzeuf , A. R. Walker , M. Wang , N. Weaverdyck , R. H. Wechsler , J. Weller , B. Yanny , B. Zhang , Y. Zhang , J. Zuntz

The next generation of weak lensing surveys will measure the matter distribution of the local Universe with unprecedented precision, allowing the resolution of non-Gaussian features of the convergence field. This encourages the use of…

Cosmology and Nongalactic Astrophysics · Physics 2023-08-17 Dominik Zürcher , Janis Fluri , Virginia Ajani , Silvan Fischbacher , Alexandre Refregier , Tomasz Kacprzak

A Bayesian approach is presented for detecting and characterising the signal from discrete objects embedded in a diffuse background. The approach centres around the evaluation of the posterior distribution for the parameters of the discrete…

Astrophysics · Physics 2009-11-07 M. P. Hobson , C. McLachlan