8 papers
Predicting the final states of binary-single scattering with machine learning
Ahmad Farhani Asl, David Fonseca Mota, Dennis Fremstad +1
Context. Binary-single encounters are particularly frequent in dense stellar environments, where they play a central role in shaping the dynamical evolution of their host systems.…
Bounds on at the Galactic Center
Prajwal Hassan Puttasiddappa, Muzammil Mushtaq, Willian Ramirez +1
We constrain the cosmological constant using astrometric and spectroscopic observations of the S2, S1, and S14 stars orbiting Sgr A. The stellar motion is modelled by nume…
Gaussian Process Reconstruction of Cosmological Parameters with Gravitational Wave Sirens using Machine Learning
Gourab Nandi, Anish Ghoshal, David F. Mota
Future gravitational wave (GW) standard siren catalogues will probe the late-time expansion history of the Universe across redshift ranges largely inaccessible to traditional elect…
Spherical collapse and cluster number counts in DHOST theories that pass the constraints from gravitational waves
Sakdithut Jitpienka, Khamphee Karwan, David F. Mota
We investigate the spherical collapse model and the abundance of galaxy clusters in a class of degenerate higher-order scalar--tensor (DHOST) theories in which gravitational waves…
Separate Universe Super-Resolution Emulator
Dennis Fremstad, Julian Adamek, David F. Mota
We present a machine-learning model for generating super-resolution -body simulations with non-vanishing spatial curvature, conditioned on a given low-resolution field, ,…
Luminosity-Temperature Relation as a Probe for Modified Gravity
Antonino Del Popolo, Saeed Fakhry, David F. Mota
We investigate the luminosity-temperature (-) relation of galaxy clusters as a probe for testing modified gravity (MG) theories, focusing on gravity and symmetron mode…