Zobrazeno 1 - 10
of 7 345
pro vyhledávání: '"Lisanti A"'
Autor:
Mostow, Olivia, Torrey, Paul, Rose, Jonah, Garcia, Alex M., Ahvazi, Niusha, Lisanti, Mariangela, Kallivayalil, Nitya
We present a novel method for systematically assessing the impact of central potential fluctuations associated with bursty outflows on the structure of dark matter halos for dwarf and ultra-faint galaxies. Specifically, we use dark-matter-only simula
Externí odkaz:
http://arxiv.org/abs/2412.09566
Image manipulation detection and localization have received considerable attention from the research community given the blooming of Generative Models (GMs). Detection methods that follow a passive approach may overfit to specific GMs, limiting their
Externí odkaz:
http://arxiv.org/abs/2409.17941
Autor:
Dropulic, Adriana, Shipp, Nora, Kim, Stacy, Mezghanni, Zeineb, Necib, Lina, Lisanti, Mariangela
In this work, we study how the abundance and dynamics of populations of disrupting satellite galaxies change systematically as a function of host galaxy properties. We apply a theoretical model of the phase-mixing process to classify intact satellite
Externí odkaz:
http://arxiv.org/abs/2409.13810
Autor:
Roy, Sandip, Shen, Xuejian, Barron, Jared, Lisanti, Mariangela, Curtin, David, Murray, Norman, Hopkins, Philip F.
We present the first suite of cosmological hydrodynamical zoom-in simulations of isolated dwarf galaxies for a dark sector that consists of Cold Dark Matter and a strongly-dissipative sub-component. The simulations are implemented in GIZMO and includ
Externí odkaz:
http://arxiv.org/abs/2408.15317
Autor:
Giovanetti, Cara, Lisanti, Mariangela, Liu, Hongwan, Mishra-Sharma, Siddharth, Ruderman, Joshua T.
We introduce LINX (Light Isotope Nucleosynthesis with JAX), a new differentiable public Big Bang Nucleosynthesis (BBN) code designed for fast parameter estimation. By leveraging JAX, LINX achieves both speed and differentiability, enabling the use of
Externí odkaz:
http://arxiv.org/abs/2408.14538
Autor:
Giovanetti, Cara, Lisanti, Mariangela, Liu, Hongwan, Mishra-Sharma, Siddharth, Ruderman, Joshua T.
We present the first joint-likelihood analysis of Big Bang Nucleosynthesis (BBN) and Cosmic Microwave Background (CMB) data. Bayesian inference is performed on the baryon abundance and the effective number of neutrino species, $N_{\rm eff}$, using a
Externí odkaz:
http://arxiv.org/abs/2408.14531
Autor:
Folsom, Dylan, Lisanti, Mariangela, Necib, Lina, Horta, Danny, Vogelsberger, Mark, Hernquist, Lars
Observations of the Milky Way's stellar halo find that it is predominantly comprised of a radially-biased population of stars, dubbed the Gaia Sausage--Enceladus, or GSE. These stars are thought to be debris from dwarf galaxy accretion early in the M
Externí odkaz:
http://arxiv.org/abs/2408.02723
Motivated by efficiency requirements, most anomaly detection and segmentation (AD&S) methods focus on processing low-resolution images, e.g., $224\times 224$ pixels, obtained by downsampling the original input images. In this setting, downsampling is
Externí odkaz:
http://arxiv.org/abs/2407.04092
Autor:
Amaduzzi, Andrea, Ramirez, Pierluigi Zama, Lisanti, Giuseppe, Salti, Samuele, Di Stefano, Luigi
Multimodal Large Language Models (MLLMs) have demonstrated an excellent understanding of images and 3D data. However, both modalities have shortcomings in holistically capturing the appearance and geometry of objects. Meanwhile, Neural Radiance Field
Externí odkaz:
http://arxiv.org/abs/2406.11840
Autor:
Rose, Jonah C., Torrey, Paul, Villaescusa-Navarro, Francisco, Lisanti, Mariangela, Nguyen, Tri, Roy, Sandip, Kollmann, Kassidy E., Vogelsberger, Mark, Cyr-Racine, Francis-Yan, Medvedev, Mikhail V., Genel, Shy, Anglés-Alcázar, Daniel, Kallivayalil, Nitya, Wang, Bonny Y., Costanza, Belén, O'Neil, Stephanie, Roche, Cian, Karmakar, Soumyodipta, Garcia, Alex M., Low, Ryan, Lin, Shurui, Mostow, Olivia, Cruz, Akaxia, Caputo, Andrea, Farahi, Arya, Muñoz, Julian B., Necib, Lina, Teyssier, Romain, Dalcanton, Julianne J., Spergel, David
We introduce the DREAMS project, an innovative approach to understanding the astrophysical implications of alternative dark matter models and their effects on galaxy formation and evolution. The DREAMS project will ultimately comprise thousands of co
Externí odkaz:
http://arxiv.org/abs/2405.00766