author-photo

Francisco Villaescusa-Navarro

Princeton University

14

Papers

130

Citations

Citation Trend

Filter By

Papers (14) Sort By

Journal Conference Others

deep21: a deep learning method for 21 cm foreground removal

2021 Journal of Cosmology and Astroparticle Physics
Show All
- Source
- Cite
- Save
Citations (7)
CARPool: fast, accurate computation of large-scale structure statistics by pairing costly and cheap cosmological simulations

2021 Monthly Notices of the Royal Astronomical Society
Show All
- Source
- Cite
- Save
Citations (0)
Searching for the Radiative Decay of the Cosmic Neutrino Background with Line-Intensity Mapping

2021 Physical Review Letters
Show All
- Source
- Cite
- Save
Citations (0)
Using the Marked Power Spectrum to Detect the Signature of Neutrinos in Large-Scale Structure.

2021 Physical Review Letters
Show All
- Source
- Cite
- Save
Citations (24)
Removing Astrophysics in 21 cm Maps with Neural Networks

2021 The Astrophysical Journal
- Pablo Villanueva-Domingo
- Francisco Villaescusa-Navarro
Show All
- Source
- Cite
- Save
Citations (7)
Super-resolution emulator of cosmological simulations using deep physical models

2020 Monthly Notices of the Royal Astronomical Society
Show All
- Source
- Cite
- Save
Citations (1)
The impact of massive neutrinos on halo assembly bias.

2020 arXiv: Cosmology and Nongalactic Astrophysics
Show All
- Source
- Cite
- Save
Citations (0)
dm2gal: Mapping Dark Matter to Galaxies with Neural Networks

2020 arXiv: Cosmology and Nongalactic Astrophysics
Show All
- Source
- Cite
- Save
Citations (1)
Baryonic effects on the matter bispectrum

2020 Monthly Notices of the Royal Astronomical Society
Show All
- Source
- Cite
- Save
Citations (0)
Fisher for complements: Extracting cosmology and neutrino mass from the counts-in-cells PDF

2020 Monthly Notices of the Royal Astronomical Society
Show All
- Source
- Cite
- Save
Citations (37)