COSMO21

May 20, 2024, 9:00 AM → May 24, 2024, 2:00 PM Europe/Athens

Arsenal (Chania, Crete)

Monday, May 20

9:00 AM → 12:15 PM Radio Cosmology: Chair Elena Sellentin

9:00 AM Registration

9:45 AM Introduction by Alan Heavens, George Tzagkarakis and Jean-Luc Starck

10:00 AM Cosmology with the SKA Observatory

Speaker: Marta Spinelli

10:45 AM Short break

10:55 AM Synergies between radio intensity mapping and optical galaxy surveys

Speaker: Alkistis Pourtsidou

11:15 AM Machine Learning for recovering the EoR 21-cm signal power spectrum at z~9.1 from LOFAR data

Speaker: Anshuman Acharya

11:35 AM Learning Reionization History with Quasar IGM Damping Wings

Speaker: Timo Kist

11:55 AM Using gradient descent-like methods to reconstruct the matter density field during reionization

Speaker: Sabrina Berger

3:00 PM → 4:05 PM Bayesian Methodology: Chair Marta Spinelli

3:00 PM Our Universe in Simulation

Speaker: Jia Liu

3:45 PM Towards robust Bayesian inference using physics informed priors from cosmological simulations

Speaker: Ludvig Doeser

4:05 PM → 4:25 PM Coffee break

4:25 PM → 5:55 PM Poster Session

5:55 PM → 6:55 PM Gravitational Waves: Chair Alan Heavens

5:55 PM Gravitational-wave cosmology: current results and statistical challenges ahead

Speaker: Simone Mastrogiovanni

8:00 PM → 10:00 PM Cocktail

Tuesday, May 21

9:00 AM → 10:25 AM Weak Lensing IV: I: Chair Jia Liu

9:00 AM Higher Order Statistics vs. Deep learning for lensing cosmology

Speaker: Bhuvnesh Jain

9:45 AM Cosmic shear analysis of KiDS and DES with higher-order statistics

Speaker: Joachim Harnois-Deraps

10:05 AM Baryons and non-Gaussian statistics in weak lensing cosmology

Speaker: Daniela Grandon Silva

10:25 AM → 10:55 AM Coffee Break

10:55 AM → 12:15 PM Weak Lensing IV: II: Chair Justin Alsing

10:55 AM Dark Energy Survey Year 3 results: likelihood-free, simulation-based wCDM inference with neural compression of weak-lensing map statistics

Speaker: Niall Jeffrey

11:15 AM Simulation based inference with contrastive learning and persistent homology

Speaker: Judit Prat

11:35 AM KiDS-SBI: Simulation-Based Inference Analysis of KiDS-1000 Cosmic Shear

Speaker: Maximilian von Wietersheim-Kramsta

11:55 AM Lossless Neural Compression for Weak Lensing Implicit Inference

Speaker: T. Lucas Makinen

3:00 PM → 4:25 PM Artificial Intelligence I: Chair Georgios Tzagkarakis

3:00 PM Good Data Analysis Practices for AI

Speaker: Annalisa Pawlosky

3:45 PM Scientific machine learning in cosmology

Speaker: Jason McEwen

4:05 PM Don't trust neural networks? Me neither, but here's how I use them anyway

Speaker: Florent Leclercq

4:25 PM → 4:55 PM Break

4:55 PM → 5:55 PM Artificial Intelligence II: Chair Sam Farrens

4:55 PM Neural Networks as Classifiers of Cosmological Models

Speaker: Lisa Goh

5:15 PM Exhaustive Symbolic Regression: Learning Astrophysics directly from Data

Speaker: Harry Desmond

5:35 PM One Model to Handle Them All: A versatile framework for galaxy vision tasks by Implanting Human-in-the-loop upon a Large Vision Model

Speaker: Nan Li

Wednesday, May 22

9:00 AM → 10:25 AM Galaxies & Redshifts: Chair Vassilis Charmandaris

9:00 AM A comprehensive picture of the galaxy population with simulation-based inference

Speaker: Justin Alsing

9:45 AM Machine Learning Pipeline for speeding up SED fitting with Radiative Transfer Models

Speaker: Klea Panayidou

10:05 AM A Comparative Analysis of Regression Methods for Spectroscopic Redshift Estimation

Speaker: Greg Tsagkatakis

10:25 AM → 10:55 AM Coffee break

10:55 AM → 1:00 PM Field Level Inference: Chair Susmita Adhikari

10:55 AM Field-level inferences of galaxy clustering

Speaker: Eleni Tsaprazi

11:15 AM Almanac: Generic Field Level Inference for Full-Sky Cosmological Fields and Angular Power Spectra

Speaker: Arthur Loureiro

11:35 AM Weak lensing field -level inference with KaRMMa

Speaker: Supranta Sarma Boruah

11:55 AM Extracting optimal and robust information from cosmological surveys with field-level inference and joint analyses

Speaker: Adrian Bayer

3:00 PM → 4:25 PM Weak Lensing III: Chair Arthur Loureiro

3:00 PM How to quantify textures and random fields in cosmology?

Speaker: Sihao Cheng

3:45 PM Pseudaria: Map-Level Inference of Unknown Systematics in Galaxy Number Counts

Speaker: André Zamorano Vitorelli

4:05 PM Mass-Mapping with Conditional Generative Adversarial Networks

Speaker: Jessica Whitney

4:25 PM → 4:55 PM Coffee break

4:55 PM → 5:55 PM Bayesian Methodology: : Chair Jason Mc Ewen

4:55 PM Scalable Bayesian uncertainty quantification with learned convex regularisers

Speaker: Tobias Liaudat

5:15 PM GPU-accelerated Hierarchical Bayesian Inference of Intrinsic and Extrinsic Properties of Type Ia Supernovae

Speaker: Matthew Grayling

5:35 PM Learned harmonic mean with normalizing flows for Bayesian model comparison in cosmology

Speaker: Alicia Polanska

8:00 PM → 11:00 PM Conference Diner

Thursday, May 23

9:30 AM → 10:55 AM Machine Learning II: Chair Klea Panayidou

9:30 AM Machine learning cosmological structure formation

Speaker: Luisa Lucie-Smith

10:15 AM CAMELS-SAM: untangling the galaxy-halo connection with machine learning in observational space

Speaker: Lucia Perez

10:35 AM Unveiling the connections between halos and galaxies with Machine Learning

Speaker: Raul Abramo

10:55 AM → 11:25 AM Coffee break

11:25 AM → 12:25 PM Machine Learning II: Chair Yanxia Zhang

11:25 AM Using graph neural networks to detect dark matter in stellar streams

Speaker: Keir Rogers

11:45 AM A representation learning approach to probe for dynamical dark energy in matter power spectra

Speaker: Davide Piras

12:05 PM Unsupervised Searches for Parity-Violation

Speaker: Matt Craigie

3:00 PM → 4:25 PM Cosmic Fields: Chair Frederic Courbin

3:00 PM Cosmic fields beyond 2pt: practical challenges opportunities

Speaker: Chihway Chang

3:45 PM Theoretical wavelet l1-norm from one-point PDF prediction

Speaker: Vilasini Tinnaneri Sreekanth

4:05 PM An exact likelihood for the weak lensing correlation function

Speaker: Veronika Oehl

4:25 PM → 4:55 PM Coffee Break

4:55 PM → 5:55 PM Weak Lensing IV: Chair Chihway Chang

4:55 PM The interplay between analysis choices in cosmic shear

Speaker: Naomi Robertson

5:15 PM DeepLensing Flow: Score based and flow models for weak lensing statistics

Speaker: Joaquin Armijo

5:35 PM Mitigating 3x2pt Systematics: Augmented Photo-z Training Samples and Optimal Tomographic Binning

Speaker: Irene Moskowitz

Friday, May 24

9:00 AM → 11:05 AM Cosmology: Chair Yanxia Zhang

9:00 AM The strong lensing contribution to the H0 tension

Speaker: Frederic Courbin

9:45 AM Abundance of Primordial Black Holes from a Bayesian inference analysis between quasar microlensing observations and simulated magnification maps

Speaker: Ana Esteban Gutiérrez

10:05 AM Understanding the distribution of dark matter in halos from cluster to dwarf scales

Speaker: Susmita Adhikari

10:25 AM MLPatch: Learned local patch-based models for high-dimensional cosmological inverse problems

Speaker: Amir Ehsan Khorashadizadeh

10:45 AM Joint Multi-channel Deconvolution for Euclid and LSST Images

Speaker: Utsav Akhaury

11:05 AM → 11:35 AM Coffee Break

11:35 AM → 12:15 PM Panel Discussion: Moderator Elena Sellentin

12:15 PM → 12:35 PM Conclusions