27–29 nov. 2024
APC
Fuseau horaire Europe/Paris

Liste des Contributions

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  1. Cyrille Doux (LPSC)
    27/11/2024 14:00
  2. Dr Johan Bregeon (IN2P3 LSPC)
    27/11/2024 14:10
  3. Clara Déplantes, Marina Ricci
    27/11/2024 14:30
  4. Dr Johan Bregeon (IN2P3 LSPC)
    27/11/2024 14:50
  5. Fabio Hernandez (CC-IN2P3)
    27/11/2024 15:10
  6. Ema TSANG KING SANG (APC-CNRS), Simon Biquard (APC / CNRS)
    27/11/2024 15:30

    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)
    27/11/2024 16:30
  8. Dr Johan Bregeon (IN2P3 LSPC), Thibault Guillemin (LAPP), Yassine Faris (LPNHE)
    27/11/2024 16:50
  9. Jérémy Neveu (LPNHE), Dr Sylvie Dagoret (IJCLab), marc moniez (LAL-IN2P3)
    27/11/2024 17:10
  10. Roya Mohayaee (Institut d'Astrophysique de Paris/Sorbonne université)
    27/11/2024 17:30

    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)
    27/11/2024 17:50
  12. Cyrille Doux (LPSC)
    27/11/2024 18:00
  13. Damiano Rosselli (CPPM)
    28/11/2024 09:30

    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)
    28/11/2024 09:50

    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
    28/11/2024 10:10

    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
    28/11/2024 10:30

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

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  17. Thibault Guillemin (LAPP)
    28/11/2024 11:15
  18. joseph chevalier (IJCLab - A2C)
    28/11/2024 11:15
  19. Dr Julien Peloton (CNRS-IJCLab)
    28/11/2024 14:00

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

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  20. Raphael BONNET GUERRINI
    28/11/2024 14:20

    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)
    28/11/2024 14:40

    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)
    28/11/2024 15:00

    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)
    28/11/2024 15:20
  24. Bruno Sanchez (CPPM - CNRS)
    28/11/2024 15:40
  25. Jérémy Neveu (LPNHE), Dr Sylvie Dagoret (IJCLab), marc moniez (LAL-IN2P3)
    28/11/2024 16:30
  26. Cyrille Doux (LPSC)
    28/11/2024 16:30
  27. Manon Ramel (LPSC / IN2P3)
    29/11/2024 09:30

    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)
    29/11/2024 09:50

    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)
    29/11/2024 10:10

    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
    29/11/2024 10:30
  31. Marina Ricci
    29/11/2024 11:15
  32. Dr Emille Ishida (CNRS/LPC-Clermont), Dr Julien Peloton (CNRS-IJCLab)
    29/11/2024 11:15
  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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