13 papers
CutClean: Neural Network Pruning for Privacy-Preserving Inference
Leonardo Magliolo, Vito Paolo Pastore, Giuseppe Valenzise +1
Neural networks are increasingly deployed in high-stakes applications with growing privacy leakage concerns. We show that this privacy leakage can occur even in the absence of repr…
Small-scale Lyman alpha forest cosmology with PRIYA: Constraints from XQ100 and KODIAQ-SQUAD one-dimensional flux power spectra
Ming-Feng Ho, Mahdi Qezlou, Simeon Bird +4
We present a new cosmological analysis of the small-scale Lyman alpha forest 1D flux power spectrum (P1D) using high-resolution quasar spectra from XQ100 and KODIAQ-SQUAD, interpre…
Exploring the impact of AGN feedback model variations on the Lyman- Forest Flux Power Spectrum
Megan Pirecki, Megan Taylor Tillman, Blakesley Burkhart +2
We study the effects of varying different Active Galactic Nuclei (AGN) feedback parameters on the Lyman- (Ly) forest 1D transmitted flux power spectrum (P1D). We use the Co…
Design and optimization of neural networks for multifidelity cosmological emulation
Yanhui Yang, Simeon Bird, Ming-Feng Ho +1
Accurate and efficient simulation-based emulators are essential for interpreting cosmological survey data down to nonlinear scales. Multifidelity emulation techniques reduce simula…
Ten-dimensional neural network emulator for the nonlinear matter power spectrum
Yanhui Yang, Simeon Bird, Ming-Feng Ho +1
We present GokuNEmu, a ten-dimensional neural network emulator for the nonlinear matter power spectrum, designed to support next-generation cosmological analyses. Built on the Goku…
LATIS Data Release: Spectra of Galaxies, Redshifts, and Intergalactic Medium Tomography Maps
Andrew B. Newman, Gwen C. Rudie, Guillermo A. Blanc +8
We present the data release of the Ly Tomography IMACS Survey (LATIS), one of the largest optical spectroscopic surveys of faint high-redshift galaxies. The survey provides 740…