Publications related to Survey of Gravitationally-lensed Objects in HSC Imaging (SuGOHI): VI. Crowdsourced lens finding with Space Warps

Related publications (18)

Machine learning enhanced atom probe tomography analysis

Atom probe tomography (APT) is a burgeoning characterization technique that provides compositional mapping of materials in three-dimensions at near-atomic scale. Since its significant expansion in the past 30 years, we estimate that one million APT dataset ...

2026

An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond

Stewart Cole, Eduardo Sanchez, Hua Zhang, Antoine Philippe Jacques Rocher

In anticipation of forthcoming data releases of current and future spectroscopic surveys, we present the validation tests and analysis of systematic effects within velocileptors modeling pipeline when fitting mock data from the AbacusSummit N-body simulati ...

IOP Publishing Ltd2025

TDCOSMO: XVIII. Strong lens model and time-delay predictions for J1721+8842, the first Einstein zigzag lens

Frédéric Dux

We present lens models for J1721+8842, the first-ever discovered galaxy-scale strong lens in an Einstein zigzag configuration. The model consists of four separate lensed galaxies, with the primary source hosting a quasar, lensed into six images by two defl ...

2025

The Galaxy Activity, Torus, and Outflow Survey (GATOS) VI. Black hole mass estimation using machine learning

Rémi Henri Philippe Poitevineau

The detailed feeding and feedback mechanisms of active galactic nuclei (AGNs) are not yet well known. For low-luminosity AGNs, obscured AGNs, and late-type galaxies, the masses of their central black holes (BH) are difficult to determine precisely. Our goa ...

EDP SCIENCES S A2025

The Rise of Faint, Red Active Galactic Nuclei at z > 4: a Sample of Little Red Dots in the Jwst Extragalactic Legacy Fields

Michaela Hirschmann

We present a sample of 341 "little red dots" (LRDs) spanning the redshift range z similar to 2-11 using data from the CEERS, PRIMER, JADES, UNCOVER, and NGDEEP surveys. Unlike past use of color indices to identify LRDs, we employ continuum slope fitting us ...

IOP Publishing Ltd2025

3d Cmz. II. Hierarchical Structure Analysis of the Central Molecular Zone

Robin Gopala Tress

The Central Molecular Zone (CMZ) is the way station at the heart of our Milky Way Galaxy, connecting gas flowing in from Galactic scales with the central nucleus. Key open questions remain about its 3D structure, star formation properties, and role in regu ...

IOP Publishing Ltd2025

Robustly Learning Regions of Attraction From Fixed Data

Colin Neil Jones

While stability analysis is a mainstay for control science, especially computing regions of attraction of equilibrium points, until recently most stability analysis tools always required explicit knowledge of the model or a high-fidelity simulator represen ...

2025

The Impact of Ram Pressure on Cluster Galaxies, Insights From Gaea and Tng

Michaela Hirschmann

Ram pressure stripping (RPS) has a non-negligible impact on the gas content of cluster galaxies. We used the semi-analytic model GAEA and the hydro-simulation TNG to investigate whether cluster galaxies suffer from strong RPS that is sufficient to remove a ...

EDP SCIENCES S A2025

Hadamard product in deep learning: Introduction, Advances and Challenges

Volkan Cevher, Yongtao Wu

While convolution and self-attention mechanisms have dominated architectural design in deep learning, this survey examines a fundamental yet understudied primitive: the Hadamard product. Despite its widespread implementation across various applications, th ...

2025

A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs

Florent Gérard Krzakala, Bruno Loureiro, Matteo Vilucchio

This work investigates adversarial training in the context of margin-based linear classifiers in the high-dimensional regime where the dimension d and the number of data points n diverge with a fixed ratio α = n/d. We introduce a tractable mathematical mod ...

2025

Strong lensing by edge-on galaxies in UNIONS

Frédéric Courbin, Cameron Alexander Campbell Lemon, Elodie Marie Charlène Savary, Javier Alejandro Acevedo Barroso

Current searches for galaxy-scale strong lenses focus on massive Luminous Red Galaxies but tend to overlook late-type lenses, in part because of their smaller Einstein radii. We take advantage of the superb seeing of the UNIONS survey in the r-band to perf ...

2024

Lopsided distribution of MATLAS and ELVES dwarf satellite systems around isolated host galaxies

Oliver Müller, Nick Heesters

The properties of satellite dwarf galaxies provide important empirical insights for verifying cosmological models on galaxy scales. Their phase-space correlations, in particular, offer interesting insights into a broad range of models, since they are domin ...

2024

JWST lensed quasar dark matter survey – I. Description and first results

Cameron Alexander Campbell Lemon

All rights reserved.The flux ratios of gravitationally lensed quasars provide a powerful probe of the nature of dark matter. Importantly, these ratios are sensitive to small-scale structure, irrespective of the presence of baryons. This sensitivity may all ...

2024

Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention

Thanh Trung Huynh

Recent advancements in recommender systems have focused on integrating knowledge graphs (KGs) to leverage their auxiliary information. The core idea of KG-enhanced recommenders is to incorporate rich semantic information for more accurate recommendations. ...

2024

Function Learning with Financial Applications

Paolo Colusso

This thesis sets itself the goal of investigating function learning approaches. The topic is extremely relevant today, since the abundance of data, jointly with the technological progress which has enhanced computing power, now allow to represent functions ...

EPFL2024

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

Mathieu Salzmann

We introduce a new task, novel view synthesis for LiDAR sensors. While traditional model-based LiDAR simulators with style-transfer neural networks can be applied to render novel views, they fall short of producing accurate and realistic LiDAR patterns bec ...

Association for Computing Machinery, Inc2024

Unsupervised quality monitoring of metal additive manufacturing using Bayesian adaptive resonance

Patrik Willi Hoffmann

Metal additive manufacturing is a recent breakthrough technology that promises automated production of complex geometric shapes at low operating costs. However, its potential is not yet fully exploited due to the low reproducibility of quality in mass prod ...

CELL PRESS2024

Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions From Expert Demonstrations

Baiyu Peng, Aude Billard

Planning for diverse real-world robotic tasks necessitates to know and write all constraints. However, instances exist where these constraints are either unknown or challenging to specify accurately. A possible solution is to infer the unknown constraints ...

2024