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

18.1k citations

Showing astro-ph.IMShow all

129 papers · 1 filter

astro-ph.IM2026★ 14 cited

The Vera C. Rubin Observatory Data Preview 1

Vera C Rubin Observatory Team, Tatiana Acero Cuellar, Emily Acosta +325

We present Rubin Data Preview 1 DP1, the first data from the NSF DOE Vera C Rubin Observatory, comprising raw and calibrated single epoch images, coadds, difference images, detecti…

astro-ph.IM2025

StarDICE IV: correcting visible photometry from atmospheric gray extinction using thermal infrared observations

Kélian Sommer, Bertrand Plez, Johann Cohen-Tanugi +11

Ground-based surveys such as the Vera C. Rubin Observatory's Legacy Survey of Space and Time require photometric calibration that is both long-term stable and spatially uniform at…

astro-ph.IM2025★ 1 cited

Photometric Redshift Estimation for Rubin Observatory Data Preview 1 with Redshift Assessment Infrastructure Layers (RAIL)

T. Zhang, E. Charles, J. F. Crenshaw +87

We present the first systematic analysis of photometric redshifts (photo-z) estimated from the Rubin Observatory Data Preview 1 (DP1) data taken with the Legacy Survey of Space and…

astro-ph.IM2025★ 2 cited

Towards the Giant Radio Array for Neutrino Detection (GRAND): the GRANDProto300 and GRAND@Auger prototypes

GRAND Collaboration, Jaime Álvarez-Muniz, Rafael Alves Batista +118

The Giant Radio Array for Neutrino Detection (GRAND) is a proposed multi-messenger observatory of Ultra-High-Energy (UHE) particles of cosmic origin. Its main goal is to find the l…

astro-ph.IM2025★ 2 cited

Performance of MAGIC stellar intensity interferometer and expansion to MAGIC + CTAO-LST1 stellar intensity interferometer

Alejo Cifuentes, V. A. Acciari, F. Barnes +24

A new generation of optical intensity interferometers are emerging in recent years taking advantage of the existing infrastructure of Imaging Atmospheric Cherenkov Telescopes (IACT…

astro-ph.IM2025

Identifying Anomalous DESI Galaxy Spectra with a Variational Autoencoder

C. Nicolaou, R. P. Nathan, O. Lahav +43

The tens of millions of spectra being captured by the Dark Energy Spectroscopic Instrument (DESI) provide tremendous discovery potential. In this work we show how Machine Learning,…

astro-ph.IM2025★ 2 cited

Observational strategies for ultrahigh-energy neutrinos: the importance of deep sensitivity for detection and astronomy

Kumiko Kotera, Mainak Mukhopadhyay, Rafael Alves Batista +5

Detecting ultrahigh-energy neutrinos can take two complementary approaches with different trade-offs. 1)~Wide and shallow: aim for the largest effective volume, and to be cost-effe…

astro-ph.IM2025

Bayesian Component Separation for DESI LAE Automated Spectroscopic Redshifts and Photometric Targeting

Ana Sofía M. Uzsoy, Andrew K. Saydjari, Arjun Dey +37

Lyman Alpha Emitters (LAEs) are valuable high-redshift cosmological probes traditionally identified using specialized narrow-band photometric surveys. In ground-based spectroscopy,…

astro-ph.IM2025★ 5 cited

Development and Quality Control of PMT Modules for the Large-Sized Telescopes of the Cherenkov Telescope Array Observatory

T. Saito, M. Takahashi, Y. Inome +56

The camera of the Large-Sized Telescopes (LSTs) of the Cherenkov Telescope Array Observatory (CTAO) consists of 1855 pixels that are grouped into 265 high-performance photomultipli…

astro-ph.IM2025★ 1 cited

The Giant Radio Array for Neutrino Detection (GRAND) and its prototype phases

Marion Guelfand

Multi-messenger astronomy is key today to broaden our understanding of the high energy Universe. When an ultra-high energy (UHE) particle interacts in the atmosphere or underground…

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…

astro-ph.IM2023

Design and performance of a Collimated Beam Projector for telescope transmission measurement using a broadband light source

K. Sommer, J. Cohen-Tanugi, B. Plez +9

Type Ia supernovae are the most direct cosmological probe to study dark energy in the recent Universe, for which the photometric calibration of astronomical instruments remains one…

astro-ph.IM2023★ 1 cited

Characterization and performance of an upgraded front-end-board for NectarCAM

F. Bradascio, F. Brun, F. Cangemi +17

This paper presents an analysis of the updated version of the Front-End Board (FEB) for the NectarCAM camera, developed for the Cherenkov Telescope Array Observatory (CTAO). The FE…

astro-ph.IM2023★ 3 cited

tilepy: rapid tiling strategies in mid/small FoV observatories

Fabian Schüssler, Halim Ashkar, Mathieu de Bony de Lavergne +1

The challenges inherent to time-domain multi-messenger astronomy require strategic actions so that adapted, optimized follow-up observations are performed efficiently. In particula…

astro-ph.IM2023★ 98 cited

Gammapy: A Python package for gamma-ray astronomy

Axel Donath, Régis Terrier, Quentin Remy +42

In this article, we present Gammapy, an open-source Python package for the analysis of astronomical -ray data, and illustrate the functionalities of its first long-term-support…