The abstract book and the final program are available here:  abstract_book-Cosmo21_V2.3

The emphasis of the conference is on advances and methodological challenges in cosmology, and new results derived from advanced data analysis and modeling methods. Cosmology is entering a new area which will require processing of huge data sets, and measurements at the sub-percent level of accuracy in order to answer fundamental cosmological questions such as the nature of dark matter, dark energy and gravity. As ever, statistics will inevitably play a fundamental role in understanding the new generation of data, but with additional challenges of ever-increasing datasets and large parameter spaces.


  • Cosmic microwave background: non-Gaussianity, component separation methods.
  • Weak lensing: galaxy shape measurements, projected mass density map reconstruction, three-dimensional mapping of the dark matter, high order statistics, Euclid, LSST.
  • Large-scale structure
  • High redshift supernovae.
  • Mapping high-z 21-cm radiation
  • Lyman-alpha forest
  • Astronomical discovery from overwhelmingly large datasets: BOSS, EUCLID, PAU, LAMOST, LOFAR, SKA, LSST and others.
  • Statistical methods used in astronomical data analysis (including new developments coming from fertile cross-interactions in astrostatistics). A preliminary list of these methods is included below:
    • Bayesian methods, evidence, model selection.
    • Multivariate classification and clustering.
    • Sparsity: wavelets, compressive sampling, 2D and 3D data representations.
    • Machine learning for large multivariate datasets: Kernel regression, Support Vector Machine, neural networks, supervised learning.

There will be several sessions during the conference. Each session will have at least one keynote speaker, and half of the talks will be contributed talks. The cross-disciplinary nature of the symposium is reflected in the inclusion of speakers from the statistics community in the suggested list.

Shirley Ho, Carnegie Mellon University, US       – Large Scale Structures
Alexie Leauthaud, University of Tokyo, Japan    – Weak Lensing
David Spergel, Princeton University, US             – Cosmic Microwave Background
Roberto Trotta, Imperial College, London, UK    – Bayesian Methodology
Pierre Vandergheynst, EPFL University, CH        – Data & Graphs
Tania Regimbau, Nice Observatory, FR    – Gravitational Waves
Alice Pisani, CPPM, Aix-Marseille Univ., FR     – Large Scale Structures, Voids
Benjamin Joachimi, UCL, UK                            – Large Scale Structures
Valeria Pettorino, Univ of Heidelberg, GER       –  CMB, modified gravity
Yabebal Fantaye, Univ of Rome, IT                   – CMB lensing



Tuesday – May 24th, 2016
Session 1: Cosmology and Statistical Information I
Chair: Jean-Luc Starck
14:00 14:20 Vassilis Charmandaris Welcome
14:20 15:00 David Spergel, Keynote WFIRST and the next generation of Surveys
15:00 15:30 Valeria Pettorino Invited Dark Energy and Modified Gravity after Planck
15:30 15:50 Caitlin Adams Beating cosmic variance in the low – redshift universe
15:50 16:10 Adam Amara Information from Cosmology Experiments
16:10 16:40 Coffee Break
Session 2: Gravitational Waves
Chair: Roberto Trotta
16:40 17:20 Tania Regimbeau , Invited Observation of Gravitational Waves from a Binary Black Hole Merger
Poster Session
17:20 19:00 Posters Session
19:00 20:30 Cocktail


  Wednesday – May 25th, 2016
Session 3: Bayesian Methods
Chair: Alan Heavens
09:00 09:40 Roberto Trotta, Keynote Bayesian Hierarchical Models in Cosmology
09:40 10:00 Cong Ma Application of Bayesian Graphs to Type Ia Supernova Data Analysis and Compression
10:00 10:20 Hikmatali Shariff BAHAMAS: new SNIa analysis reveals inconsistencies with standard cosmologyf
10:20 10:40 Kaisey Mandel Hierarchical Bayesian Models for Type Ia Supernova Intrinsic Variations and Host Galaxy Dust
10:40 11:10 Coffee Break
Session 4: Cosmology and Statistical Information II
Chair: Adam Amara
11:10 12:40 Benjamin Joachimi, Invited Small errors for big surveys
11:40 12:00 Didier Fraix-Burnet Multivariate classification of galaxies: which observables?
12:00 12:20 Andriy Olenko On Minkowski functionals of random fields
12:20 12:40 Steven Murray Accounting for Eddington bias in observed mass functions using hierarchical Bayesian likelihoods
12:40 14:00 Lunch Break
Session 5: Survey & Statistics
Chair: David Spergel
14:0 14:40 Shirley Ho, Keynote Digging in the Large Scale Structure of the Universe
14:40 15:00 Mark Neyrinck Sliced correlations: revealing density- dependent clustering, and the correlation function’s statistical issues
15:00 15:20 Jelena Aleksic Digging Deeper in Imaging Surveys
15:20 15:40 L. Raul Abramo Fourier analysis of multi-tracer cosmological surveys
15:40 16:00 Vicent Martinez Joint constraints on galaxy bias and sigma8 through the N-pdf of the galaxy number density
16:00 16:20 Valeria Amaro
16:20 16:50 Coffee Break
Session 6: Machine Learning I
Chair: Emile E. O. Ishida
16:50 17:10 Boris Leistedt Accurate photometric redshifts with no or shallow spectroscopic training data
17:10 17:30 Alex Malz Cosmological Inference Using Photometric Redshift Probability Distribution Functions
17:30 17:50 Carlo Enrico Petrillo Selection of strong gravitational lenses with convolutional neural networks
20:30 00:00 Conference Dinner
Thursday – May 26th, 2016
Session 7: Lensing I
Chair: Hiranya Peiris
09:00 09:40 Alexie Leauthaud, Keynote Weak Gravitational Lensing from the Hyper Suprime Cam 1400 Square Degree Survey
09:40 10:00 Gary Bernstein Practical, accurate, and rigorous Bayesian lensing inference from galaxy images
10:00 10:20 Francois Lanusse Sparse regularisation to the rescue of 3D weak-lensing mass-mapping, application to the COSMOS and STAGES surveys
10:20 10:40 Chieh-An Lin Approximate Bayesian computation: an application to weak-lensing peak counts
10:40 11:10 Coffee Break
Session 8: Lensing II
Chair: Alexie Leauthaud
11:10 11:40 Yabebal Fantaye, Invited Multiple peak testing on the sphere: controlling the false discovery rate
11:40 12:00 Fernanda Ostrovski Morphology independent multi – wavelength selection of gravitationally lensed quasars
12:00 12:20 Julien Carron Efficient exploration of lensing CMB  likelihoods and posteriors
12:20 14:00 Lunch Break
Session 9: Cosmic Web
Chair: Vicent Martinez
14:00 14:30 Alice Pisani, Invited Precision Cosmology with Cosmic Voids
14:30 14:50 Yen-Chi Chen Cosmic Web Reconstruction through Density Ridges
14:50 15:10 Florent Leclercq Cosmic web analysis and information theory: some recent results
15:10 15:30 Marius Cautun Testing cosmology on very small scales
15:30 15:50 Seshadri Nadathur Testing cosmological models with cosmic voids from the BOSS galaxy surveys
15:50 16:30 Coffee Break
Session 10: Machine Learning II
Chair: Alberto Krone-Martins
16:30 16:50 Emille E. O. Ishida Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering
16:50 17:10 Aleksandra Solarz Classification and clustering analysis of infrared-selected galaxies in AKARI NEP Deep Field
17:10 17:30 Joshua Speagle Mapping and Exploiting the Color-Redshift Relation Probed by Large-Scale Photometric Surveys
Friday – May 27th, 2016
Session 11: Sparsity
Chair: Yves Wiaux
09:00 09:40 Pierre Vandergheynst, Keynote Sampling, inference and clustering for data on graphs
09:40 10:00 Jason McEwen EB separation with spin directional wavelets
10:00 10:20 Remy Joseph Deblending colorful objects: a morpho-spectral component analysis method for automated source separation
10:20 10:40 Christopher Wallis Sparse image reconstruction on the sphere: Analysis vs Synthesis
10:40 11:10 Coffee Break
Session 12: Survey & Statistics II
Chair: Alice Pisani
11:10 11:30 Austin Peel Cosmological constraints from peak counts in a Euclid-like simulation
11:30 11:50 Jack Singal Non-parametric Determination of Luminosity Evolutions, Correlations, and Distributions in AGN from Flux Limited Survey Data
11:50 12:10 Elena Sellentin Parameter inference with estimated covariance matrices
12:10 12:30 Alexander Eggemeier Cosmological constraints from phase statistics
12:20 14:00 Lunch Break
Session 13: Radio
Chair: Jason McEwen
14:00 14:20 Yves Wiaux Scalable algorithms for next-generation radio-interferometric imaging
14:20 14:40 David Mary Strategies for the reconstruction of spatio- spectral data cubes in the perspective of the SKA
14:40 15:00 Catherine Allin Watkinson Moving beyond the power spectrum of 21cm maps
15:00 15:20 Marzia Rivi Galaxy shape measurement for radio weak lensing
15:20 15:40 Andrej Obuljen BAO reconstruction from 21cm intensity mapping
15:40 16:00 Melanie Johnston-Hollitt Extracting Science from the Square Kilometre Array
16:00 16:30 Coffee Break
16:30 17:00 Gary Bernstein Closing Talk



See also the COSMO21 best poster prize web page

P# Presenter Poster Title
1 Amon Alexandra Testing Einstein’s gravity with the gravitational slip statistic on cosmological scales
2 Berlind Andreas Accurate Modeling of Galaxy Clustering on Small Scales through Data Simulation
3 Ballardini Mario Constraints on Induced Gravity: reproducing the cosmic acceleration with a scalar-tensor model
4 Ballardini Mario Probing violations of slow-roll inflation with future galaxy surveys
5 Baxter Eric Joint Measurement of Lensing-Galaxy Correlations Using South Pole Telescope and Dark Energy Survey Data
6 Beck Robert Automated classification of emission line galaxies using machine learning methods
7 Beck Robert Photo-z-SQL: Integrated On-demand Photo-z Services in a Database
8 Bird Simeon Minimally Parametric Power Spectra from BOSS Lyman-alpha data
9 Bunn Emory F Polarization predictions for cosmological models with broken statistical isotropy
10 Caro Fernando Morphological classification of galaxies using deep learning
11 Carucci Isabella P. Exploiting the 21cm power spectrum: forecasts for SKA on the warm dark matter and cross-correlation with the Lyman-alpha forest flux.
12 Chan Jennifer Y. H. Cosmological polarised radiative transfer and diagnostics of large-scale magnetic field structures
13 Chan Jennifer Y. H. Second-generation curvelets on the sphere for efficient representation of elongated structure
14 de Souza Rafael S. Beyond Gaussian: An overview of Bayesian Generalized Linear Models for Astronomers
15 Demchenko Vasiliy A Test of Spherical Evolution of Cosmic Voids in Λ-CDM
16 Dupac Xavier The Planck Legacy Archive for cosmology
17 Ebrahimpour Leyla S. Bayesian parametric and non-parametric characterisation of relations between galaxy cluster properties
18 Farrens Samuel PSF Deconvolution For Future Weak Lensing Surveys
19 Giblin Benjamin Results from the first 450 sq. degrees of the Kilo Degree Survey
20 Gizani Nectaria Using diffuse radio emission in clusters of galaxies to probe the cosmic web, cosmic rays and dark matter
21 Godłowski Wlodzimierz New method of investigation of the alignment of galaxies in clusters
22 Han Bo A Divide and Conquer Approach Applied for Photometric Redshift Estimation
23 Jamal Sara zBayes : Bayesian approach for the spectroscopic redshift estimation
24 Kovács András Dark Energy illuminated by cosmic voids in the DES footprint
25 Kovács András Cosmic troublemakers: the Cold Spot, the Eridanus Supervoid, and the Great Walls
26 Kuntzer Thibault Stellar classification from single-band imaging using machine learning
27 Lablanche Pierre-Yves A MCMC method for supernova classification
28 Lei Ya-Juan Spectral analysis of the SUZAKU data of GX 9+9
29 Leistedt Boris 3D weak lensing with spin wavelets on the ball
30 Long James Near Field Cosmology with RR Lyrae Variable Stars
31 Mak Daisy New measurement of CIB power spectra from Planck HFI maps
32 Niemiec Anna Halo mass measurements of satellite galaxies in CFHT Stripe82 and CFHTLenS
33 Nunez Carolina Photometric Selection of a Massive Galaxy Catalog with z≥ 0.55
34 Peel Austin Cosmological constraints from peak counts in a Euclid-like simulation
35 Petrakis Manolis Non-Stationary Covariance Functions for the Interpolation of Irregularly Sampled Data Sets
35 Petrillo Carlo Enrico Selection of strong gravitational lenses with convolutional neural networks.
36 Pignata Giuliano Supernovae photometric typing for the SUDARE survey
37 Pratley Luke The Influence of Convolutional Gridding on Sparse Image Reconstruction for Radio Interferometry
38 Racz Gabor An n-body simulation to estimate the effects of inhomogeneities on the expansion of the Universe
39 Rémy Joseph Automated colour-based deblending of the Hubble Frontier Fields
40 Renneby Malin The galaxy-halo relation through a lens of cosmological rescaling
41 Rogers Keir Spin-SILC: CMB polarisation component separation with spin directional wavelets
42 Ruppin Florian Multi-probe analysis of high resolution observations of galaxy clusters by the NIKA camera
43 Sánchez Gil M. Carmen Hierarchical Bayesian approach for estimating physical properties in spiral galaxies
44 Schmit Claude 3D Statistical Analysis of the Cosmic 21cm Signal
45 Schmitt Alain AMAZED : Algorithm for Massive Automated Z Evaluation and Determination
46 Schuhmann Robert L. Gaussianisation for Bayesian posterior distributions and model comparison in cosmology
47 Smailagic Marijana A Model for Evolution of Lyα Blobs Number Density at z~ 1-6.6
48 Sulis Sophia Statistical analysis of an extrasolar planet detection approach based on hydrodynamical simulations
49 Tarrío Paula A matched filter approach for the joint detection of galaxy clusters in X-ray and SZ surveys
50 Tihhonova Olga Mapping the Mass Along the Line of Sight of Multiply Lensed Quasars
51 Umiltà Caterina Pushing further component separation and improving Planck cosmological results
52 Yu Yu Kriging Interpolating Cosmic Velocity Field
53 Zhang Yanxia The Influence of Sample Selection on Photometric Redshift Accuracy