Tootfinder

Simulating Binary Neutron Star Mergers with Finite-temperature Equations of State: The influences of the slope of the symmetry energy and artificial heating
Henrique Gieg, Maximiliano Ujevic, Armen Sedrakian, Tim Dietrich
https://arxiv.org/abs/2507.23684

Simulating Binary Neutron Star Mergers with Finite-temperature Equations of State: The influences of the slope of the symmetry energy and artificial heating
We present a new set of numerical-relativity simulations of merging binary neutron stars, aiming to identify possible observable signatures of the slope of the symmetry energy $L_{\rm sym}$. To achieve this goal, we employ a set of equations of state based on a parameterization of the covariant density functional theory of nuclear matter that allows controlled variations of $L_{\rm sym}$ and the skewness $Q_{\rm sat}$, holding the latter fixed. For a set of our simulations, we identify a steep …

AGN jet evolution simulation with GADGET4-OSAKA
Chenze Dong, Abednego Wiliardy, Kentaro Nagamine, Yuri Oku, Boon Kiat Oh, Renyue Cen
https://arxiv.org/abs/2508.21282 https://

AGN jet evolution simulation with GADGET4-OSAKA
Active galactic nuclei (AGN) jets are powerful drivers of galaxy evolution, depositing energy and momentum into the circumgalactic and intracluster medium (CGM/ICM) and regulating gas cooling and star formation. We investigate the dynamics of jet evolution in the self-similar regime using the smoothed particle hydrodynamics (SPH) code Gadget4-Osaka, systematically varying jet launching schemes, artificial viscosity prescriptions, mass resolution, and jet lifetimes. Our analysis combines quantit…

A profile of Stability AI, which under CEO Prem Akkaraju and Chair Sean Parker has shifted from building frontier AI models to a Hollywood-focused SaaS company (Zoë Schiffer/Wired)
https://www.wired.com/story/artificial-intelligence-hollywood-stability/

AI Isn’t Coming for Hollywood. It's Already Arrived
An early winner in the generative AI wars was near collapse—then bet everything on a star-studded comeback. Can Stability AI beat the competition?

A profile of Stability AI, which under CEO Prem Akkaraju and Chair Sean Parker has shifted from building frontier AI models to a Hollywood-focused SaaS company (Zoë Schiffer/Wired)
https://www.wired.com/story/artificial-intelligence-hollywood-stability/

AI Isn’t Coming for Hollywood. It's Already Arrived
An early winner in the generative AI wars was near collapse—then bet everything on a star-studded comeback. Can Stability AI beat the competition?

Nach 18 Jahren vergeblichen Kinderwunschs wurde ein Paar mithilfe von #KI schwanger.
Das Columbia University Fertility Center nutzte die neue STAR-Methode, um in einer #Samenprobe mit #Azoospermie

A couple tried for 18 years to get pregnant. AI made it happen
After trying to conceive for 18 years, one couple is now pregnant with their first child thanks to the power of artificial intelligence.

NuAncestor: an artificial satellite-borne star for accurate frequency calibration of ground-based EPRV spectrographs
F. Pepe, M. Bugatti, A. Baur, J. Berney, E. Bozzo, C. Broeg, B. Crazzolara, A. Deep, F. Droz, J. Figuereido, H. Haile, L. Jolissaint, S. Lecomte, J. Moerschell, Ch. Mordasini, E. Obrzud, C. Praplan, M. Sarajlic, B. Soja, M. Van den Broeck

NuAncestor: an artificial satellite-borne star for accurate frequency calibration of ground-based EPRV spectrographs
The accuracy of state-of-the-art Extreme Precision Radial Velocity (EPRV) spectrographs depends on the access to extremely precise and stable wavelength calibration sources. There are several available calibration sources (e.g., emission lamps, laser frequency combs, reference cavities) that can be used to calibrate an astronomical spectrograph. However, the calibration as it is currently performed is always 'local'. In the proposed talk we will present the NuAncestor concept that proposes an a…

Radiative Transfer Modeling of Stripped-Envelope Supernovae. I: A Grid for Ejecta Parameter Inference
S. Karthik Yadavalli (Center for Astrophysics | Harvard and Smithsonian), V. Ashley Villar (Center for Astrophysics | Harvard and Smithsonian, The NSF AI Institute for Artificial Intelligence and Fundamental Interactions), Abigail Polin (Department of Physics and Astronomy, Purdue University), S. E. Woosley (Department of Astronomy and Astrophysics, University of California, Santa Cruz…

Radiative Transfer Modeling of Stripped-Envelope Supernovae. I: A Grid for Ejecta Parameter Inference
We present 1,800 multiwavelength Type Ib/c supernovae light curve models obtained by running the radiation transport code Sedona and varying the mass distribution, velocity profile, and abundance ejecta profiles of helium star progenitors. To create a flexible but physically-informed grid, we use autoencoders to construct a representation of ejecta profiles derived from stellar evolution models. We present simulated nearest-neighbor multiband light curves matches to SN 1994I, SN 2007gr, and iPT…

Globular Clusters in the Galaxy Cluster MACS0416 at z = 0.397
Jessica M. Berkheimer, Rogier A. Windhorst, William E. Harris, Anton M. Koekemoer, Timothy Carleton, Seth H. Cohen, Rolf A. Jansen, Dan Coe, Jose Diego, Christopher J. Conselice, Simon P. Driver, Brenda L. Frye, Norman A. Grogin, Kate Hartman, Tyler R. Hinrichs, Benne W. Holwerda, Patrick S. Kamieneski, Kaitlyn E. Keatley, William C. Keel, Ray A. Lucas, Madeline A. Marshall, Mario Nonino, Nor Pirzkal, Massimo Ricotti, Clayto…

Globular Clusters in the Galaxy Cluster MACS0416 at z = 0.397
We present a photometric analysis of globular clusters (GCs) in the massive galaxy cluster MACS J0416.1-2403 (z = 0.397) using deep JWST/NIRCam imaging from the PEARLS program. PSF photometry in the F090W, F115W, F150W, and F200W filters was performed with DAOPHOT, yielding a catalog of 2,971 unresolved, point-like sources consistent with a GC population. Artificial star tests indicate 50% completeness at F200W = 30.63 AB mag and 80% completeness at F200W = 30.36 AB mag. Color-magnitude diagram…

The future of gravitational wave science unlocking LIGO potential: AI-driven data analysis and exploration
Yong Xiao, Li, Zin Nandar Win, He Wang, Hla Myo Tun, Win Thu Zar
https://arxiv.org/abs/2506.04584

The future of gravitational wave science unlocking LIGO potential: AI-driven data analysis and exploration
The advent of gravitational wave astronomy (GW) has revolutionized the observation of cataclysmic cosmic events, such as black hole mergers and neutron star collisions. The Laser Interferometer Gravitational-Wave Observatory (LIGO) has been at the forefront of these discoveries. However, the immense volume and complexity of gravitational wave data present significant challenges for traditional analysis methods. This paper investigates the growing synergy between artificial intelligence (AI) and…

JWST NIRCam Observations of the Globular Cluster Population of RXJ 2129.7 0005
Kaitlyn E. Keatley, William E. Harris
https://arxiv.org/abs/2508.03626 https://

JWST NIRCam Observations of the Globular Cluster Population of RXJ 2129.7+0005
We present an analysis of the globular cluster (GC) population in the galaxy cluster RXJ 2129.7+0005 (z = 0.234) based on JWST NIRCam imaging in three filters: F115W, F150W, and F200W. We use this material to provide a detailed look at the color-magnitude distribution of the GCs and their spatial distribution around the central giant galaxy. We identified 3,160 GC candidates brighter than F150W=29.5, and assessed photometric completeness through artificial star tests. We determined that the GCs…