Sep 14 – 18, 2026
SJTU Xuhui Campus, Withub Building (慧谷科技楼)
Asia/Shanghai timezone

Contribution List

22 out of 22 displayed
  1. Benedetta Vulcani
    9/14/26, 10:30 AM
  2. Claudio Grillo
    9/14/26, 11:00 AM
  3. Raphael Gavazzi
    9/14/26, 11:30 AM
  4. Michele Pizzardo
    9/14/26, 1:30 PM
  5. Li Ran
    9/15/26, 9:30 AM

    The China Space Station Telescope (CSST) is China's next-generation space observatory currently under development. Featuring a 2-meter primary mirror, CSST is expected to detect hundreds of strong gravitational lensing galaxy clusters during its wide-field survey, providing a powerful probe for dark matter research. In preparation for CSST's cluster strong-lensing science goals, we have...

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  6. Massimo Meneghetti
    9/15/26, 10:00 AM
  7. Shijiao Yin
    9/15/26, 11:00 AM

    We present an automated, pixelated parameter-inference framework for strong lensing galaxy clusters based on simulation-based inference (SBI).

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  8. Li Cui (Shanghai Jiaotong University)
    9/15/26, 11:30 AM

    Galaxy–galaxy strong lensing (GGSL) in galaxy clusters provides a unique probe of the mass distributions of individual cluster member galaxies. However, its definition and identification can depend sensitively on the assumed properties of these galaxies. We systematically investigate how the commonly adopted GGSL criterion responds to variations in the truncation radius and velocity dispersion...

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  9. XiangHao Ma
    9/15/26, 1:30 PM

    Strong-lensing models of galaxy clusters are traditionally constrained by the positions of multiply imaged sources, leaving much of the information encoded in the resolved surface brightness of extended arcs unused. This talk presents a JAX-based modelling framework that combines multiple-image constraints with pixelated source reconstruction and GPU-accelerated Bayesian inference. Three...

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  10. jiarui sun
    9/16/26, 9:30 AM

    As the lensing signal increases near massive foreground clusters, higher-order effects become increasingly important, requiring an accurate treatment of the lens equation beyond the first-order approximation. While conventional galaxy shape estimators have been extensively studied in the perturbative regime of weak lensing, recovering large shear signals and higher-order distortions under...

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  11. Michele Pizzardo
    9/16/26, 10:00 AM
  12. Ned Taylor
    9/16/26, 11:00 AM
  13. Jiachuan Xu
    9/16/26, 11:30 AM
  14. Matt Owers
    9/16/26, 1:30 PM

    I will present a dynamical overview of the Hector Galaxy Survey clusters, based on mixture models that incorporate full dynamical modelling. This approach yields simultaneous masses for the main clusters and their subclusters, and assigns each galaxy a membership probability for every structure.

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  15. Wenting Wang (SJTU)
    9/17/26, 9:30 AM

    I will present our measurements of faint photometric satellite luminosity and stellar mass functions in galaxy groups/clusters through a cross-correlation technique. The measurement can reach -7 in r-band absolute magnitude or 10^5.5 msun in the latest DESI data, which has a low-mass end slope consistent with CDM predictions. We will also show that MW satellite LF function is typical in the...

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  16. Shuo Xu (Department of Astronomy, Tsinghua University)
    9/17/26, 10:00 AM

    Deep wide-field imaging (e.g., HSC, Euclid) now reveals the low-surface-brightness outskirts of massive central galaxies and intra-cluster light, while cluster spectroscopic surveys (e.g., JUST) can better probe their satellite populations. Together, these two stellar components preserve complementary records of the host halo’s assembly history.  Using a halo-mass-complete sample of massive...

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  17. Meng Gu (Tsinghua University)
    9/17/26, 11:00 AM

    Understanding how galaxies form and assemble is one of the central goals of astrophysics. By extracting detailed elemental abundance patterns and constraining the stellar initial mass function (IMF) from the integrated light of distant galaxies, we gain new insights into their star formation histories, stellar mass distributions, and dark matter content. In this talk, I will present results...

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  18. Qimin Zhang
    9/17/26, 11:30 AM

    We present a dynamical study of M87 using globular clusters (GCs) and ultra-compact dwarfs (UCDs) as discrete kinematic tracers. We construct separate axisymmetric Jeans anisotropic models (JAM) for different tracer populations, including blue GCs, red GCs, and UCDs. For each tracer population, we derive the enclosed mass at its characteristic radius and compare the independent mass...

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  19. Yunzhe Gu (Shanghai Jiao Tong University)
    9/17/26, 1:30 PM

    Galaxy infall kinematics (GIK) around clusters provide a valuable probe of dynamical mass profiles, particularly the characteristic infall velocity. Building on Zu & Weinberg (2013), we propose an improved forward modeling methodology for the redshift-space distortions of galaxies around central clusters. Specifically, we will calibrate a parametric GIK model using the FLAMINGO simulation. By...

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  20. Mingtao Yang
    9/17/26, 2:00 PM

    Please schedule my talk during the first few days if that is possible. Thanks!

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  21. Zhiwei Shao (Shanghai Jiao Tong University)
    9/18/26, 9:30 AM

    Understanding galaxy assembly bias is crucial for deriving unbiased cosmological constraints from Stage
    IV surveys such as the Dark Energy Spectroscopic Instrument (DESI). Taking advantage of the state-of-the-art
    DESI group catalog, we develop a robust method to directly measure galaxy assembly bias, parametrized by
    $Q_{\rm env}$, for a volume-limited galaxy sample at redshift...

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  22. Ji Yao (Shanghai Astronomical Observatory)
    9/18/26, 10:00 AM

    Velocity fields in the cosmic web are fundamental to structure formation but remain difficult to observe directly beyond the linear regime. Here we present observational evidence that galaxy filaments connecting pairs of galaxy clusters undergo a split infall, with opposite velocity flows toward the two clusters. Using spectroscopic galaxies from the Sloan Digital Sky Survey, we isolate the...

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