[HTML][HTML] The early data release of the Dark Energy Spectroscopic Instrument
D Collaboration, AG Adame, J Aguilar… - The Astronomical …, 2024 - escholarship.org
The Dark Energy Spectroscopic Instrument (DESI) completed its 5 month Survey Validation
in 2021 May. Spectra of stellar and extragalactic targets from Survey Validation constitute …
in 2021 May. Spectra of stellar and extragalactic targets from Survey Validation constitute …
The DESI bright galaxy survey: final target selection, design, and validation
CH Hahn, MJ Wilson, O Ruiz-Macias… - The Astronomical …, 2023 - iopscience.iop.org
Over the next 5 yr, the Dark Energy Spectroscopic Instrument (DESI) will use 10
spectrographs with 5000 fibers on the 4 m Mayall Telescope at Kitt Peak National …
spectrographs with 5000 fibers on the 4 m Mayall Telescope at Kitt Peak National …
Validation of the scientific program for the Dark Energy Spectroscopic Instrument
AG Adame, J Aguilar, S Ahlen, S Alam… - The Astronomical …, 2024 - iopscience.iop.org
Studies of the geometry and energy content of the Universe, physics of cosmic expansion,
fundamental properties of standard model particles, and growth of structure remain the key …
fundamental properties of standard model particles, and growth of structure remain the key …
Target selection and validation of DESI emission line galaxies
A Raichoor, J Moustakas, JA Newman… - The Astronomical …, 2023 - iopscience.iop.org
Abstract The Dark Energy Spectroscopic Instrument (DESI) will precisely constrain cosmic
expansion and the growth of structure by collecting∼ 40 million extragalactic redshifts …
expansion and the growth of structure by collecting∼ 40 million extragalactic redshifts …
A forward modeling approach to analyzing galaxy clustering with SimBIG
We present cosmological constraints from a simulation-based inference (SBI) analysis of
galaxy clustering from the SimBIG forward modeling framework. SimBIG leverages the …
galaxy clustering from the SimBIG forward modeling framework. SimBIG leverages the …
Towards testing the theory of gravity with DESI: summary statistics, model predictions and future simulation requirements
Shortly after its discovery, General Relativity (GR) was applied to predict the behavior of our
Universe on the largest scales, and later became the foundation of modern cosmology. Its …
Universe on the largest scales, and later became the foundation of modern cosmology. Its …
Characterization of DESI fiber assignment incompleteness effect on 2-point clustering and mitigation methods for DR1 analysis
D Bianchi, MM Hanif, AC Rosell, J Lasker… - arXiv preprint arXiv …, 2024 - arxiv.org
We present an in-depth analysis of the fiber assignment incompleteness in the Dark Energy
Spectroscopic Instrument (DESI) Data Release 1 (DR1). This incompleteness is caused by …
Spectroscopic Instrument (DESI) Data Release 1 (DR1). This incompleteness is caused by …
Mitigation of DESI fiber assignment incompleteness effect on two-point clustering with small angular scale truncated estimators
M Pinon, A de Mattia, P McDonald, E Burtin… - arXiv preprint arXiv …, 2024 - arxiv.org
We present a method to mitigate the effects of fiber assignment incompleteness in two-point
power spectrum and correlation function measurements from galaxy spectroscopic surveys …
power spectrum and correlation function measurements from galaxy spectroscopic surveys …
Field-level simulation-based inference of galaxy clustering with convolutional neural networks
We present the first simulation-based inference (SBI) of cosmological parameters from field-
level analysis of galaxy clustering. Standard galaxy clustering analyses rely on analyzing …
level analysis of galaxy clustering. Standard galaxy clustering analyses rely on analyzing …
SimBIG: mock challenge for a forward modeling approach to galaxy clustering
Abstract Simulation-Based Inference of Galaxies (SimBIG) is a forward modeling framework
for analyzing galaxy clustering using simulation-based inference. In this work, we present …
for analyzing galaxy clustering using simulation-based inference. In this work, we present …