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22/09/2025 09:00
Welcome from organizers
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Julian Bautista (CPPM, Aix-Marseille Université, CNRS/IN2P3)22/09/2025 09:15
Invited talk
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Corentin Ravoux (LPC Clermont-Ferrand CNRS/IN2P3)22/09/2025 13:40
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Dr Fei QIN (CPPM)22/09/2025 14:00
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Mlle Dane Cross22/09/2025 14:20
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Mahmoud Ahmed Emam Osman (LPNHE)22/09/2025 14:40
The Bayesian Origin Reconstruction from Galaxies (BORG) algorithm provides a Bayesian framework to recover the dark matter field through forward modeling of structure formation, accounting for the nonlinear evolution of the velocity field. In this talk, I will present applications of BORG to the ZTF DR2.5 supernova sample, as well as results from realistic ZTF supernova simulations,...
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Corentin HANSER (CPPM)22/09/2025 15:00
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Bastien Carreres (Duke University)22/09/2025 16:10
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Rafael Kebadian (CPPM)23/09/2025 09:00
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Jakob Nordin (Humboldt Universität zu Berlin)23/09/2025 09:20
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Dr Fei QIN (CPPM)23/09/2025 09:40
Observations of the Universe indicate that approximately 95% of its content consists of the enigmatic components known as dark matter and dark energy. Understanding the nature of these entities is crucial for elucidating the evolutionary history of the Universe and for testing the validity of General Relativity. One of the most promising approaches to achieving this understanding is through...
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Alex Kim (Lawrence Berkeley National Laboratory), Lluís Galbany (ICE-CSIC)23/09/2025 10:00
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Mlle Maria Acevedo (Duke University)23/09/2025 13:30
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Jack Tweddle (University of Oxford)23/09/2025 13:50
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Caitlin Ross (University of Queensland)23/09/2025 14:10
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Kelly Douglass (University of Rochester)23/09/2025 14:30
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23/09/2025 14:50
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Shi-Fan Chen24/09/2025 09:00
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Massimo Guidi (University of Bologna)24/09/2025 09:20
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Davide Piras (University of Geneva)24/09/2025 09:40
We develop a novel approach to constrain the Hubble parameter $H_0$ and the primordial power spectrum amplitude $A_\mathrm{s}$ using type Ia supernovae (SNIa) data. By considering SNIa as tracers of the peculiar velocity field, we can model their distance and their covariance as a function of cosmological parameters without the need of calibrators like Cepheids; this yields a new independent...
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Farnik Nikakhtar (Yale University)24/09/2025 10:00
The universe we observe today is dotted with galaxy clusters separated by vast voids, in sharp contrast to its initial state, which was nearly uniform with only minor density fluctuations. The evolution from this early uniformity to today's complex structure of galaxies is a profound transformation, with many intermediate processes still unexplained. In this talk, I will explore this...
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Dr Mickael Rigault (IP2I)24/09/2025 10:20
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Identify common science themes among participants.
Each theme has a breakout where goals are defined, projects identified, etc.
Notionally: fs8; beyond perturbation theory, reconstruction, cross-density, ...
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Caitlin Ross (University of Queensland)
The Dark Energy Spectroscopic Instrument (DESI) Peculiar Velocity Survey aims to provide measurements of the growth rate of structure and the Hubble constant in our local universe. To do so the survey, over the course of its 5 years of operations, aims to measure peculiar velocities for over 186,000 galaxies using both the Fundamental Plane and Tully Fisher relations. In this talk I will...
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Corentin Ravoux (LPC Clermont-Ferrand CNRS/IN2P3)
Invited talk
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Kelly Douglass (University of Rochester)
The Peculiar Velocity (PV) Survey of the Dark Energy Spectroscopic Instrument (DESI) is a secondary targeting program designed to carry out systematic measurements of peculiar motion at z < 0.2. The DESI PV Survey combines the spectroscopic galaxy redshifts recorded by DESI with standardizable distance measurements from Type Ia supernovae and elliptical and spiral galaxies in the DESI Bright...
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Massimo Guidi (University of Bologna)
In this talk, we present for the first time an analytical attempt to model the cross-correlation between peculiar velocity and galaxy density. Until now, the extraction of cosmological information from these statistics has been limited to the two-point correlation between velocity and density. Extending the analysis to higher-order statistics enables access to information encoded in nonlinear...
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Contributed talks on what SN PV Science people want to do and how to get there.
Each Block consists of:
Contributed talks
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Discussion -
Sketch pipelines for online and offline analyses.
Simulations part of offline.
Identify projects
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Two teams to create roadmaps for the projects. One focus on science, the other on infrastructure.
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