12 papers
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…
HETDEX Public Data Release 1: Source Catalog 2 and Data Cubes from ~90 sq deg of Integral-Field Optical Spectroscopy
Erin Mentuch Cooper, Karl Gebhardt, Dustin Davis +36
The Hobby-Eberly Telescope Dark Energy Experiment (HETDEX) is a wide-field, integral-field spectroscopic survey designed to map the large-scale distribution of Lyman-alpha emitting…
Enhancing Lyα Emitter Identification in HETDEX with a Convolutional Neural Network
Shiro Mukae, Erin Mentuch Cooper, Karl Gebhardt +9
We present a deep learning framework to enhance the identification of Ly emitters (LAEs) in the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX), an untargeted spectrosco…
Relatively Fast and Reasonably Furious: Evidence for Increased Burstiness in Smaller Halos at Cosmic Dawn
Julian B. Muñoz, John Chisholm, Guochao Sun +7
We introduce an effective framework to model star-formation burstiness and use it to jointly fit galaxy UV luminosity functions (UVLFs), clustering, and H/UV ratios, providing…
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…