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Diffusion models demonstrate remarkable capabilities in capturing complex data distributions and have achieved compelling results in many generative tasks. While they have recently been extended to dense prediction tasks such as depth…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Haorui Ji , Taojun Lin , Hongdong Li

Forecasting urban delivery demand becomes substantially more challenging when newly added service regions lack historical records. Existing spatiotemporal forecasters effectively model spatial dependence once sufficient node histories are…

Machine Learning · Computer Science 2026-05-20 Yihong Tang , Tong Nie , Junlin He , Qianjun Huang , Dingyi Zhuang , Lijun Sun

We study how the addition of on-board optical photometric bands to future space-based weak lensing instruments could affect the photometric redshift estimation of galaxies, and hence improve estimations of the dark energy parameters through…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-27 Robert Sorba , Marcin Sawicki

Euclid is an ESA Cosmic-Vision wide-field-space mission which is designed to explain the origin of the acceleration of Universe expansion. The mission will investigate at the same time two primary cosmological probes: Weak gravitational…

The development of the observing strategy for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) requires a broad optimization across science cases inside and outside of time-domain astronomy. We introduce a novel metric…

Instrumentation and Methods for Astrophysics · Physics 2026-04-16 Yu-Qian , Ouyang , Alex I. Malz , Ming Lian , Shar Daniels , Federica Bianco , Mathilda Nilsson

We present new mock catalogues for two of the largest stage-IV next-generation surveys in the optical and infrared: LSST and Euclid, based on an N-body simulation+semi-analytical cone with a posterior modification with \texttt{PhotReal}.…

Cosmology and Nongalactic Astrophysics · Physics 2015-09-16 Begoña Ascaso , Simona Mei , Narciso Benítez

The transit method, during which a planet's presence is inferred by measuring the reduction in flux as it passes in front of its parent star, is a highly successful exoplanet detection and characterization technique. During transit, the…

Instrumentation and Methods for Astrophysics · Physics 2026-01-13 Joanna K. Barstow , Hannah R. Wakeford , Sarah L. Casewell , Vatsal Panwar

We exploit the synergy between low-resolution spectroscopy and photometric redshifts to study environmental effects on galaxy evolution in slitless spectroscopic surveys from space. As a test case, we consider the future Euclid Deep survey…

Astrophysics of Galaxies · Physics 2016-08-31 O. Cucciati , F. Marulli , A. Cimatti , A. I. Merson , P. Norberg , L. Pozzetti , C. M. Baugh , E. Branchini

We explored the impact of the synergy between the Euclid near-infrared photometric surveys and the SKA radio continuum surveys on the studies of the cosmic star formation. The Euclid satellite is expected to perform a Wide and Deep…

Astrophysics of Galaxies · Physics 2015-01-14 Paolo Ciliegi , Sandro Bardelli

One of the new frontiers of astronomical research is the exploration of time variability on the sky at different wavelengths and flux levels. We have carried out a pilot project using DPOSS data to study strong variables and transients, and…

Powerful new observational facilities will come online over the next decade, enabling a number of discovery opportunities in the "Cosmic Frontier", which targets understanding of the physics of the early universe, dark matter and dark…

Despite the unprecedented volume of multimodal data provided by modern Earth observation systems, our ability to model atmospheric dynamics remains constrained. Traditional modeling frameworks force heterogeneous measurements into…

The coalescence of viscous drops on a substrate is studied experimentally and theoretically. We consider cases where the drops can have different contact angles, leading to a very asymmetric coalescence process. Side view experiments reveal…

Fluid Dynamics · Physics 2015-06-05 J. F. Hernandez-Sanchez , L. A. Lubbers , A. Eddi , J. H. Snoeijer

At the core of modern generative modeling frameworks, including diffusion models, score-based models, and flow matching, is the task of transforming a simple prior distribution into a complex target distribution through stochastic paths in…

Machine Learning · Computer Science 2026-03-20 Sophia Tang

Future precision cosmology from large-scale structure experiments including the Dark Energy Spectroscopic Instrument (DESI) and Euclid will probe wider and deeper cosmic volumes than those covered by previous surveys. The Cartesian power…

Cosmology and Nongalactic Astrophysics · Physics 2020-10-12 Mike Shengbo Wang , Santiago Avila , Davide Bianchi , Robert Crittenden , Will J. Percival

Cross-referencing a watchlist of galaxy groups and clusters with transient detections from real-time streams of wide-field survey data is a promising method for discovering gravitationally lensed explosive transients including supernovae,…

Cosmology and Nongalactic Astrophysics · Physics 2023-02-07 Dan Ryczanowski , Graham P. Smith , Matteo Bianconi , Sean McGee , Andrew Robertson , Richard Massey , Mathilde Jauzac

In this paper, we address the problem of spectroscopic redshift estimation in Astronomy. Due to the expansion of the Universe, galaxies recede from each other on average. This movement causes the emitted electromagnetic waves to shift from…

Instrumentation and Methods for Astrophysics · Physics 2019-08-27 Radamanthys Stivaktakis , Grigorios Tsagkatakis , Bruno Moraes , Filipe Abdalla , Jean-Luc Starck , Panagiotis Tsakalides

Photometric wide-area observations in the next decade will be capable of detecting a large number of galaxy-scale strong gravitational lenses, increasing the gravitational lens sample size by orders of magnitude. To aid in forecasting and…

Cosmology and Nongalactic Astrophysics · Physics 2024-07-02 Giovanni Ferrami , Stuart Wyithe

Diffusion models have risen to prominence in time series forecasting, showcasing their robust capability to model complex data distributions. However, their effectiveness in deterministic predictions is often constrained by instability…

Machine Learning · Computer Science 2024-11-08 Hao Yang , Zhanbo Feng , Feng Zhou , Robert C Qiu , Zenan Ling

Observational and/or astrophysical systematics modulating the observed number of luminous tracers can constitute a major limitation in the cosmological exploitation of surveys of the large scale structure of the universe. Part of this…