Benjamin L'Huillier

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Assistant Professor

Sejong University

South Korea

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About

Benjamin L'Huillier is an Assistant Professor at Sejong University in South Korea. His research primarily focuses on astrophysics, with recent articles exploring topics such as AGN jets, dark energy, and Gaussian process regression. He has contributed to significant studies including the Dark Energy Spectroscopic Instrument and its related scientific programs. His work also includes a detailed analysis of cosmic growth and expansion histories from advanced survey data.

Recent Grants

Grant: Close

향후 관측자료를 활용한 일반상대성이론의 검증

Open Date: 2022-06-01

Close Date: 2025-02-01

Grant: Close

Testing the cosmological model with the large-scale structures

Open Date: 2019-06-01

Close Date: 2022-05-01

Articles (14)

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (37)

Joan Solà Peracaula

Full Professor

University of Barcelona

SPAIN

Benjamin L'Huillier

Research Interests

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About

Recent Grants

Articles (14)

Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument

The Early Data Release of the Dark Energy Spectroscopic Instrument

An Analysis of Variance of the Pantheon+ Dataset: Systematics in the Covariance Matrix?

Detection of an orthogonal alignment between parsec-scale AGN jets and their host galaxies

Estimating the feasibility of ‘standard speed-gun’ distances

How to use GP: effects of the mean function and hyperparameter selection on Gaussian process regression

How to use GP: effects of the mean function and hyperparameter selection on Gaussian process regression

Joint reconstructions of growth and expansion histories from stage-IV surveys with minimal assumptions. II. Modified gravity and massive neutrinos

Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies

Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument

Joint reconstructions of growth and expansion histories from stage-IV surveys with minimal assumptions: Dark energy beyond <math display="inline"><mrow><mi mathvariant="normal">Λ</mi></mrow></math>

Joint reconstructions of growth and expansion histories from stage-IV surveys with minimal assumptions: Dark energy beyond Lambda

Bayesian vs frequentist: comparing Bayesian model selection with a frequentist approach using the iterative smoothing method

The DESI N-body simulation project – I. Testing the robustness of simulations for the DESI dark time survey

Collaborators (37)

Joan Solà Peracaula

Johannes Ulf Lange

David Parkinson

Eva-Maria Mueller

glenn starkman

Sownak Bose

Aaron Roodman

Deanna C. Hooper

Or Graur

Brooks Thomas

Minas Karamanis

Florian Niedermann

Ruth Lazkoz

Seshadri Nadathur

Jacobo Asorey

Frederic Courbin

Steven Ahlen

laura mersini-houghton

Adriano Agnello

Angela Chen

Dragan Huterer

Florian Beutler

Rita Tojeiro

Vincenzo Salzano

Martin White

Monica Valluri

Licia Verde

Ioannis Liodakis

Guido D'Amico

Jorge Fernández Soriano

Michael Klasen

Yuto Minami

Amelie Saintonge

Arman Shafieloo

Chia-Hsun Chuang

Foteini Skara

Yashar Akrami

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