Jordan Gerard Starck

About

Jordan Gerard Starck is an Assistant Professor of Psychology at Stanford University. His research focuses on social psychology topics including racial bias, moralization processes, diversity, and legal decision-making. He investigates how messages and social group values influence moral perceptions and attitudes related to consent, diversity, and racial advantage. His work includes empirical studies on the moralization of consent at college parties, attitudes supporting the racial status quo in higher education, and implicit biases within criminal defense attorneys. Starck's contributions aim to deepen understanding of the psychological underpinnings of social and legal issues, emphasizing the importance of locally tailored messages and the influence of dominant group preferences on diversity practices.

Research topics

• Data Mining
• Artificial Intelligence
• Computer Science
• Algorithm
• Programming language
• Astrophysics
• Physics

Selected publications

• <i>Euclid</i> preparation

  Astronomy and Astrophysics · 2020 · 406 citations

  Aims. The Euclid space telescope will measure the shapes and redshifts of galaxies to reconstruct the expansion history of the Universe and the growth of cosmic structures. The estimation of the expected performance of the experiment, in terms of predicted constraints on cosmological parameters, has so far relied on various individual methodologies and numerical implementations, which were developed for different observational probes and for the combination thereof. In this paper we present vali…

  DOI

• UNIONS: The Ultraviolet Near-infrared Optical Northern Survey

  The Astronomical Journal · 2025-11-12 · 10 citations

  articleOpen access

  Abstract The Ultraviolet Near-Infrared Optical Northern Survey (UNIONS) is a “collaboration of collaborations” that is using the Canada–France–Hawai’i Telescope, the Pan-STARRS telescopes, and the Subaru Observatory to obtain ugriz images of a core survey region of 6250 deg 2 of the northern sky. The 10 σ point source depth of the data, as measured within a 2″ diameter aperture, are [ u , g , r , i , z ] = [23.7, 24.5, 24.2, 23.8, 23.3] in AB magnitudes. UNIONS is addressing some of the most fun…

  PublisherDOI

• CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing

  ArXiv.org · 2025-12-10

  preprintOpen accessSenior author

  Deep learning-based methods have recently achieved significant success in image reconstruction problems. However, challenges have emerged, as these methods may generate unrealistic artifacts or hallucinations, which can interfere with analysis in safety-critical scenarios. This paper introduces a framework for quantifying and characterizing hallucinated artifacts in image reconstruction models. The proposed method, termed the Conformal Hallucination Estimation Metric (CHEM), enables the identifi…

  PublisherOA PDFDOI

• Joint multiband deconvolution for Euclid and Vera C. Rubin images

  Astronomy and Astrophysics · 2025-04-08

  articleOpen accessSenior author

  With the advent of surveys like Euclid and Vera C. Rubin, astrophysicists will have access to both deep, high-resolution images and multiband images. However, these two types are not simultaneously available in any single dataset. It is therefore vital to devise image deconvolution algorithms that exploit the best of both worlds and that can jointly analyze datasets spanning a range of resolutions and wavelengths. In this work we introduce a novel multiband deconvolution technique aimed at impro…

  PublisherDOI

• Breaking the degeneracy in stellar spectral classification from single wide-band images

  Astronomy and Astrophysics · 2025-01-28

  articleOpen access

  The spectral energy distribution (SED) of observed stars in wide-field images is crucial for chromatic point spread function (PSF) modelling methods, which use unresolved stars as integrated spectral samples of the PSF across the field of view. This is particularly important for weak gravitational lensing studies, where precise PSF modelling is essential to get accurate shear measurements. Previous research has demonstrated that the SED of stars can be inferred from low-resolution observations u…

  PublisherOA PDFDOI

Frequent coauthors

• J.-F. Cardoso

  2946 shared

• F. Sureau

  Commissariat à l'Énergie Atomique et aux Énergies Alternatives

  2560 shared

• G. de Zotti

  Osservatorio Astronomico di Padova

  2273 shared

• A. Chamballu

  Université Paris Cité

  2237 shared

• J. F. Macías–Pérez

  Laboratoire de Physique Subatomique et de Cosmologie

  2164 shared

• M. Arnaud

  Astrophysique, Instrumentation et Modélisation

  2115 shared

• A. Catalano

  Institut polytechnique de Grenoble

  2034 shared

• M. Remazeilles

  2016 shared

Labs

• Vice Provost for Student AffairsPI

Similar researchers at Stanford University

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• Hazel Markush-104