Daniel Felipe Forero Sanchez

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Related publications (20)

DESI 2024 III: baryon acoustic oscillations from galaxies and quasars

We present the DESI 2024 galaxy and quasar baryon acoustic oscillations (BAO) measurements using over 5.7 million unique galaxy and quasar redshifts in the range 0.1 < z < 2.1. Divided by tracer type, we utilize 300,017 galaxies from the magnitude-limited ...

2025

DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman alpha forest

Jiaxi Yu, Daniel Felipe Forero Sanchez

We present the measurement of Baryon Acoustic Oscillations (BAO) from the Lyman- a (Lya) forest of high-redshift quasars with the first-year dataset of the Dark Energy Spectroscopic Instrument (DESI). Our analysis uses over 420 000 Lya forest spectra and t ...

IOP Publishing Ltd2025

Analytical and EZmock covariance validation for the DESI 2024 results

Jiaxi Yu, Daniel Felipe Forero Sanchez

The estimation of uncertainties in cosmological parameters is an important challenge in Large-Scale-Structure (LSS) analyses. For standard analyses such as Baryon Acoustic Oscillations (BAO) and Full-Shape two approaches are usually considered. First: anal ...

2025

Desi 2024 Vi: Cosmological Constraints From the Measurements of Baryon Acoustic Oscillations

Jiaxi Yu, Daniel Felipe Forero Sanchez

We present cosmological results from the measurement of baryon acoustic oscillations (BAO) in galaxy, quasar and Lyman-alpha forest tracers from the first year of observations from the Dark Energy Spectroscopic Instrument (DESI), to be released in the DESI ...

IOP Publishing Ltd2025

Semi-analytical covariance matrices for two-point correlation function for DESI 2024 data

Jiaxi Yu, Daniel Felipe Forero Sanchez

We present an optimized way of producing the fast semi-analytical covariance matrices for the Legendre moments of the two-point correlation function, taking into account survey geometry and mimicking the non-Gaussian effects. We validate the approach on si ...

IOP Publishing Ltd2025

ELG spectroscopic systematics analysis of the DESI Data Release 1

Jean-Paul Richard Kneib, Jiaxi Yu, Daniel Felipe Forero Sanchez

Dark Energy Spectroscopic Instrument (DESI) uses more than 2.4 million Emission Line Galaxies (ELGs) for 3D large-scale structure (LSS) analyses in its Data Release 1 (DR1). Such large statistics enable thorough research on systematic uncertainties. In thi ...

IOP Publishing Ltd2025

The stability of deep learning for 21cm foreground removal across various sky models and frequency-dependent systematics

Jean-Paul Richard Kneib, Daniel Felipe Forero Sanchez, Emma Elizabeth Tolley, Michele Bianco

Deep learning (DL) has recently been proposed as a novel approach for 21cm foreground removal. Before applying DL to real observations, it is essential to assess its consistency with established methods, its performance across various simulation models, an ...

2024

Advancements in Spectroscopic Surveys and Simulation Techniques in Physical Cosmology

Daniel Felipe Forero Sanchez

The discovery of the Cosmic Microwave Background marked a pivotal moment in Physical Cosmology, propelling the field into an era of unprecedented precision in describing the Universe. Over the past two decades, rapid advancements in spectroscopic surveys h ...

EPFL2024

Cosmological constraints from density-split clustering in the BOSS CMASS galaxy sample

Daniel Felipe Forero Sanchez

We present a clustering analysis of the BOSS DR12 CMASS galaxy sample, combining measurements of the galaxy two-point correlation function and density-split clustering down to a scale of 1 h^{-1} Mpc. Our theoretical framework is based on emulators trained ...

Oxford Univ Press2024

Baryon acoustic oscillation theory and modelling systematics for the DESI 2024 results

Jiaxi Yu, Daniel Felipe Forero Sanchez

This paper provides a comprehensive overview of how fitting of baryon acoustic oscillations (BAO) is carried out within the upcoming Dark Energy Spectroscopic Instrument’s (DESI) 2024 results using its DR1 data set, and the associated systematic error budg ...

2024

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