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Understanding the nature of dark energy, the mysterious force driving the accelerated expansion of the Universe, is a major challenge of modern cosmology. The next generation of cosmological surveys, specifically designed to address this…

Instrumentation and Methods for Astrophysics · Physics 2016-12-01 Siamak Ravanbakhsh , Francois Lanusse , Rachel Mandelbaum , Jeff Schneider , Barnabas Poczos

We implement Crossing Statistics to reconstruct in a model-agnostic manner the expansion history of the universe and properties of dark energy, using DESI Data Release 1 (DR1) BAO data in combination with one of three different supernova…

Visible images offer rich texture details, while infrared images emphasize salient targets. Fusing these complementary modalities enhances scene understanding, particularly for advanced vision tasks under challenging conditions. Recently,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Beining Xu , Junxian Li

We present the technical details on how large-scale structure (LSS) catalogs are constructed from redshifts measured from spectra observed by the Dark Energy Spectroscopic Instrument (DESI). The LSS catalogs provide the information needed…

We present cosmological results from the measurement of clustering of galaxy, quasar and Lyman-$\alpha$ forest tracers from the first year of observations with the Dark Energy Spectroscopic Instrument (DESI Data Release 1). We adopt the…

Cosmology and Nongalactic Astrophysics · Physics 2025-07-15 DESI Collaboration , A. G. Adame , J. Aguilar , S. Ahlen , S. Alam , D. M. Alexander , C. Allende Prieto , M. Alvarez , O. Alves , A. Anand , U. Andrade , E. Armengaud , S. Avila , A. Aviles , H. Awan , B. Bahr-Kalus , S. Bailey , C. Baltay , A. Bault , J. Behera , S. BenZvi , F. Beutler , D. Bianchi , C. Blake , R. Blum , M. Bonici , S. Brieden , A. Brodzeller , D. Brooks , E. Buckley-Geer , E. Burtin , R. Calderon , R. Canning , A. Carnero Rosell , R. Cereskaite , J. L. Cervantes-Cota , S. Chabanier , E. Chaussidon , J. Chaves-Montero , D. Chebat , S. Chen , X. Chen , T. Claybaugh , S. Cole , A. Cuceu , T. M. Davis , K. Dawson , A. de la Macorra , A. de Mattia , N. Deiosso , A. Dey , B. Dey , Z. Ding , P. Doel , J. Edelstein , S. Eftekharzadeh , D. J. Eisenstein , W. Elbers , A. Elliott , P. Fagrelius , K. Fanning , S. Ferraro , J. Ereza , N. Findlay , B. Flaugher , A. Font-Ribera , D. Forero-Sánchez , J. E. Forero-Romero , C. S. Frenk , C. Garcia-Quintero , L. H. Garrison , E. Gaztañaga , H. Gil-Marín , S. Gontcho A Gontcho , A. X. Gonzalez-Morales , V. Gonzalez-Perez , C. Gordon , D. Green , D. Gruen , R. Gsponer , G. Gutierrez , J. Guy , B. Hadzhiyska , C. Hahn , M. M. S Hanif , H. K. Herrera-Alcantar , K. Honscheid , C. Howlett , D. Huterer , V. Iršič , M. Ishak , R. Joyce , S. Juneau , N. G. Karaçaylı , R. Kehoe , S. Kent , D. Kirkby , H. Kong , S. E. Koposov , A. Kremin , A. Krolewski , O. Lahav , Y. Lai , T. -W. Lan , M. Landriau , D. Lang , J. Lasker , J. M. Le Goff , L. Le Guillou , A. Leauthaud , M. E. Levi , T. S. Li , K. Lodha , C. Magneville , M. Manera , D. Margala , P. Martini , W. Matthewson , M. Maus , P. McDonald , L. Medina-Varela , A. Meisner , J. Mena-Fernández , R. Miquel , J. Moon , S. Moore , J. Moustakas , N. Mudur , E. Mueller , A. Muñoz-Gutiérrez , A. D. Myers , S. Nadathur , L. Napolitano , R. Neveux , J. A. Newman , N. M. Nguyen , J. Nie , G. Niz , H. E. Noriega , N. Padmanabhan , E. Paillas , N. Palanque-Delabrouille , J. Pan , S. Penmetsa , W. J. Percival , M. M. Pieri , M. Pinon , C. Poppett , A. Porredon , F. Prada , A. Pérez-Fernández , I. Pérez-Ràfols , D. Rabinowitz , A. Raichoor , C. Ramírez-Pérez , S. Ramirez-Solano , M. Rashkovetskyi , C. Ravoux , M. Rezaie , J. Rich , A. Rocher , C. Rockosi , N. A. Roe , A. Rosado-Marin , A. J. Ross , G. Rossi , R. Ruggeri , V. Ruhlmann-Kleider , L. Samushia , E. Sanchez , C. Saulder , E. F. Schlafly , D. Schlegel , M. Schubnell , H. Seo , A. Shafieloo , R. Sharples , J. Silber , A. Slosar , A. Smith , D. Sprayberry , T. Tan , G. Tarlé , P. Taylor , S. Trusov , R. Vaisakh , D. Valcin , F. Valdes , G. Valogiannis , M. Vargas-Magaña , L. Verde , M. Walther , B. Wang , M. S. Wang , B. A. Weaver , N. Weaverdyck , R. H. Wechsler , D. H. Weinberg , M. White , M. J. Wilson , L. Yi , J. Yu , Y. Yu , S. Yuan , C. Yèche , E. A. Zaborowski , P. Zarrouk , H. Zhang , C. Zhao , R. Zhao , R. Zhou , T. Zhuang , H. Zou

Tracking the origin of the accelerating expansion of the Universe remains one of the most challenging research activities today. The final answer will depend on the precision and on the consistency of future data. The sensitivity of future…

Astrophysics · Physics 2009-11-11 J. -M. Virey , A. Ealet

A huge amount of good quality data converges towards the picture of a spatially flat universe undergoing the today observed phase of accelerated expansion. This new observational trend is commonly addressed as Precision Cosmology. Despite…

General Relativity and Quantum Cosmology · Physics 2008-12-02 S. Capozziello

Given a standard model to test, an experiment can be designed to: (i) measure the standard model parameters; (ii) extend the standard model; or (iii) look for evidence of deviations from the standard model. To measure (or extend) the…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-20 Adam Amara , Thomas Kitching

The simultaneous capture of imaging data at multiple wavelengths across the electromagnetic spectrum is highly challenging, requiring complex and costly multispectral image sensors. In this study, we introduce a comprehensive framework for…

Computer Vision and Pattern Recognition · Computer Science 2015-12-18 Jason Deglint , Farnoud Kazemzadeh , Daniel Cho , David A. Clausi , Alexander Wong

Transition Edge Sensors are ultra-sensitive superconducting detectors with applications in many areas of research, including astrophysics. The device consists of a superconducting thin film, often with additional normal metal features, held…

Instrumentation and Methods for Astrophysics · Physics 2018-05-18 R. C. Harwin , D. J. Goldie , S. Withington , P. Khosropanah , L. Gottardi , J. -R. Gao

Accurate predictions on non--linear power spectra, at various redshift z, will be a basic tool to interpret cosmological data from next generation mass probes, so obtaining key information on Dark Energy nature. This calls for high…

Astrophysics · Physics 2011-03-15 Luciano Casarini , Andrea V. Maccio' , Silvio A. Bonometto

Galaxy spectra are essential to probe the spatial distribution of galaxies in our Universe. To better interpret current and future spectroscopic galaxy redshift surveys, it is important to be able to simulate these data sets. We describe…

Simulation-based inference (SBI) enables cosmological parameter estimation when closed-form likelihoods or models are unavailable. However, SBI relies on machine learning for neural compression and density estimation. This requires large…

Cosmology and Nongalactic Astrophysics · Physics 2025-09-29 Alex A. Saoulis , Davide Piras , Niall Jeffrey , Alessio Spurio Mancini , Ana M. G. Ferreira , Benjamin Joachimi

This work uses a combination of a variational auto-encoder and generative adversarial network to compare different dark energy models in light of observations, e.g., the distance modulus from type Ia supernovae. The network finds an…

Cosmology and Nongalactic Astrophysics · Physics 2019-10-15 Shi-Yu Li , Yun-Long Li , Tong-Jie Zhang

Dark Energy Spectroscopic Instrument (DESI) will construct a large and precise three-dimensional map of our Universe. The survey effective volume reaches $\sim20\Gpchcube$. It is a great challenge to prepare high-resolution simulations with…

Over the past 2 decades, wide-field photometric surveys in optical and infrared domains reached a nearly all-sky coverage thanks to numerous observational facilities operating in both hemispheres. However, subtle differences among exact…

Instrumentation and Methods for Astrophysics · Physics 2023-09-07 Victoria A. Toptun , Igor V. Chilingarian , Kirill A. Grishin , Ivan Yu. Katkov

Directed energy deposition (DED) produces complex thermo-mechanical responses that can lead to distortion and reduced dimensional accuracy of a manufactured part. Thermo-mechanical finite element simulations are widely used to estimate…

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