output
19922026
most citedMeasurements of Omega and Lambda from 42 High-Redshift Supernovae

18.1k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2024 · astro-ph.IMShow all

10 papers · 2 filters

astro-ph.IM2024

How the StarDICE photometric calibration of standard stars can improve cosmological constraints?

T. Souverin, J. Neveu, M. Betoule +16

The number of type Ia supernova (SNe Ia) observations will grow significantly within the next decade, mainly thanks to the Legacy Survey of Space and Time (LSST) undertaken by the…

astro-ph.IM2024

Development of an Autonomous Detection-Unit Self-Trigger for GRAND

Pablo Correa, Jean-Marc Colley, Tim Huege +5

One of the major challenges for the radio detection of extensive air showers, as encountered by the Giant Radio Array for Neutrino Detection (GRAND), is the requirement of an auton…

astro-ph.IM2024

Modelling the Radio Emission of Inclined Air Showers in the 50-200 MHz Frequency Band for GRAND

Lukas Gülzow, Tim Huege, Kumiko Kotera +3

The Giant Radio Array for Neutrino Detection (GRAND) is a distributed, sparse ground antenna array designed to detect the radio emission from highly inclined extensive air showers…

astro-ph.IM2024★ 3 cited

Analytical planar wavefront reconstruction and error estimates for radio detection of extensive air showers

Arsène Ferrière, Simon Prunet, Aurélien Benoit-Lévy +3

When performing radio detection of ultra-high energy astroparticles, the planar wavefront model is often used as a first step to evaluate the arrival direction of primary particles…

astro-ph.IM2024★ 6 cited

GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND)

GRAND Collaboration, Rafael Alves Batista, Aurélien Benoit-Lévy +112

The operation of upcoming ultra-high-energy cosmic-ray, gamma-ray, and neutrino radio-detection experiments, like the Giant Radio Array for Neutrino Detection (GRAND), poses signif…

astro-ph.IM2024

Correcting Turbulence-induced Errors in Fiber Positioning for the Dark Energy Spectroscopic Instrument

E. F. Schlafly, J. Guy, K. Honscheid +37

Highly-multiplexed, robotic, fiber-fed spectroscopic surveys are observing tens of millions of stars and galaxies. For many systems, accurate positioning relies on imaging the fibe…

astro-ph.IM2024

Accurate measurement of telescope filter bandpasses with a Collimated Beam Projector and impact on cosmological parameters

Jérémy Neveu, Dylan Kuhn, Thierry Souverin +1

The measurement of magnitudes with different filters in photometric surveys gives access to cosmological distances and parameters. However, for current and future large surveys lik…

astro-ph.IM2024

On the importance of Earth's atmosphere for SNIa precision cosmology

Jérémy Neveu, LEMAITRE collaboration, AuxTel collaboration

The measurement of colours in photometric surveys is a path to get access to cosmological distances. But for future large surveys like the Large Survey of Space and Time undertaken…

astro-ph.IM2024★ 3 cited

Assessment of the environmental impacts of the Cherenkov Telescope Array Mid-Sized Telescope

Gabrielle dos Santos Ilha, Marianne Boix, Jürgen Knödlseder +6

Astronomical observatories have been identified as substantial contributors to the carbon footprint of astrophysical research. Being part of the collaboration that currently develo…

astro-ph.IM2024★ 36 cited

LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology

Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier +12

This paper presents the Learning the Universe Implicit Likelihood Inference (LtU-ILI) pipeline, a codebase for rapid, user-friendly, and cutting-edge machine learning (ML) inferenc…