Nov 27 – 29, 2024
APC
Europe/Paris timezone

Contribution List

33 out of 33 displayed
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  1. Cyrille Doux (LPSC)
    11/27/24, 2:00 PM
  2. Dr Johan Bregeon (IN2P3 LSPC)
    11/27/24, 2:10 PM
  3. Clara Déplantes, Marina Ricci
    11/27/24, 2:30 PM
  4. Dr Johan Bregeon (IN2P3 LSPC)
    11/27/24, 2:50 PM
  5. Fabio Hernandez (CC-IN2P3)
    11/27/24, 3:10 PM
  6. Ema TSANG KING SANG (APC-CNRS), Simon Biquard (APC / CNRS)
    11/27/24, 3:30 PM

    The Simons Observatory (SO) is a new cosmic microwave background (CMB) experiment, located on Cerro Toco in Chile, that began observing in 2024. SO plans to measure the temperature and polarization variations in the CMB across six frequency bands, spanning 27 to 280 GHz. The initial setup includes three small-aperture (0.5-meter) telescopes (SATs) and one large-aperture (6-meter) telescope...

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  7. Alexandre Boucaud (APC / IN2P3), Eric AUBOURG (APC), Pierre Antilogus (LPNHE)
    11/27/24, 4:30 PM
  8. Dr Johan Bregeon (IN2P3 LSPC), Thibault Guillemin (LAPP), Yassine Faris (LPNHE)
    11/27/24, 4:50 PM
  9. Jérémy Neveu (LPNHE), Dr Sylvie Dagoret (IJCLab), marc moniez (LAL-IN2P3)
    11/27/24, 5:10 PM
  10. Roya Mohayaee (Institut d'Astrophysique de Paris/Sorbonne université)
    11/27/24, 5:30 PM

    The recent data from high redshift Universe demonstrates that our velocity with respect to distant sources, for example quasars and radio galaxies at redshifts of more than one,
    is at least twice as large as our velocity with respect to the rest frame of cosmic microwave background (CMB). If the Universe is homogeneous and isotropic on large scales then the restframe of CMB is expected to...

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  11. Cyrille Doux (LPSC)
    11/27/24, 5:50 PM
  12. Cyrille Doux (LPSC)
    11/27/24, 6:00 PM
  13. Damiano Rosselli (CPPM)
    11/28/24, 9:30 AM

    Type Ia supernovae (SNe Ia) are well-known distance indicators. Through the distance recovered from SNe, it is possible to recover their host galaxy's peculiar velocities (PVs). The PV field measured by SNe Ia enables us to constrain the growth rate of cosmic structure. Using a realistic simulation of SNe light curves, as expected from LSST, we have analyzed the sample bias due to selections...

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  14. Constantin Payerne (CEA/DPhP/Irfu)
    11/28/24, 9:50 AM

    Lyman-Break Galaxies (LBGs) are promising tracers for exploring the properties of dark energy in the high-redshift Universe. In light of DESI-II, the extension of the current Dark Energy Spectroscopic Instrument (DESI) that will start in 2029, the role of broadband-wide photometric surveys such as UNIONS or the Vera C. Rubin LSST is essential to design the optimal selection of these $z \geq 2$...

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  15. Cressida Cleland
    11/28/24, 10:10 AM

    We present predictions on the effect of the local environment on the quenched fraction and early-type fraction of galaxies, as a function of redshift. With a focus on z=2-3, we probe how the `protocluster' environment affects galaxy evolution. We compare between various semi-empirical and semi-analytic models. We combine simulated Euclid and LSST data to select for quenched galaxies from z=0.5...

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  16. Simona Mei
    11/28/24, 10:30 AM

    We will present the Rubin Galaxies science collaboration, and recent updates to our publication policy.

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  17. Thibault Guillemin (LAPP)
    11/28/24, 11:15 AM
  18. joseph chevalier (IJCLab - A2C)
    11/28/24, 11:15 AM
  19. Dr Julien Peloton (CNRS-IJCLab)
    11/28/24, 2:00 PM

    Status & perspectives of the Fink project 6 months before the start!

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  20. Raphael BONNET GUERRINI
    11/28/24, 2:20 PM

    In the upcoming LSST survey, transient detection—including events like Type Ia supernovae (SNe Ia)—will be conducted through Difference Image Analysis (DIA). A major challenge in this method is that many detections are actually "bogus", arising from noise, artifacts, imperfect image subtraction, cosmic rays, bad pixels, or atmospheric effects. Currently, distinguishing real transients from...

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  21. Dr Emille Ishida (CNRS/LPC-Clermont)
    11/28/24, 2:40 PM

    I will present the infrastructure tests and classification methods developed within the Fink broker in preparation for LSST. This work aims to provide detailed information regarding the underlying assumptions, and methods, behind each classifier. Using simulated data from the Extended LSST Astronomical Time-series Classification Challenge (ELAsTiCC), we showcase the performance of binary and...

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  22. Matthieu Pelissier (LPSC/UGA)
    11/28/24, 3:00 PM

    Dark matter subhalos with masses from 10⁶ to 10⁹ solar masses are mostly invisible, but could impact the structure of stellar streams observed by LSST. Presentation on how LSST systematics could impact establishing constraints on alternative dark matter models thanks to stellar streams analysis.

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  23. Jérémy Neveu (LPNHE)
    11/28/24, 3:20 PM
  24. Bruno Sanchez (CPPM - CNRS)
    11/28/24, 3:40 PM
  25. Jérémy Neveu (LPNHE), Dr Sylvie Dagoret (IJCLab), marc moniez (LAL-IN2P3)
    11/28/24, 4:30 PM
  26. Cyrille Doux (LPSC)
    11/28/24, 4:30 PM
  27. Manon Ramel (LPSC / IN2P3)
    11/29/24, 9:30 AM

    The upcoming deep optical surveys, such as the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), are set to explore the Universe to unprecedented depths, uncovering billions of galaxies. This amount of detection from the ground will lead to the apparent superposition of galaxies in the images, a phenomenon known as blending. This poses a significant challenge for the precise...

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  28. Rance Solomon (LAPP)
    11/29/24, 9:50 AM

    This talk focuses on the cluster detection performance in the DC2 image catalog with the WaZP cluster finder.

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  29. eduardo barroso (LAPP)
    11/29/24, 10:10 AM

    In this talk, we will see the state-of-art of the DESC Cluster pipeline and some recent improvements that have been done in Firecrown regarding the cluster shear profile analysis.

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  30. Sofia Gallego
    11/29/24, 10:30 AM
  31. Marina Ricci
    11/29/24, 11:15 AM
  32. Dr Emille Ishida (CNRS/LPC-Clermont), Dr Julien Peloton (CNRS-IJCLab)
    11/29/24, 11:15 AM
  33. Simona Mei

    We deleveloped ML algorithms for cluster detection within DESC, and will present future projects to extend this research and the developement of algorithms for the estimation of detection selection function for cosmology. We also focus on the study of galaxy evolution in galaxy clusters and protoclusters.

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