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We analyse the large-scale clustering of the Luminous Red Galaxy (LRG) and Quasar (QSO) sample from the first data release (DR1) of the Dark Energy Spectroscopic Instrument (DESI). In particular, we constrain the primordial non-Gaussianity…

Primordial non-Gaussianity of the local type induces a strong scale-dependent bias on the clustering of halos in the late-time Universe. This signature is particularly promising to provide constraints on the non-Gaussianity parameter…

We derive robust constraints on primordial non-Gaussianity (PNG) using the clustering of 800,000 photometric quasars from the Sloan Digital Sky Survey in the redshift range $0.5<z<3.5$. These measurements rely on the novel technique of {\it…

Cosmology and Nongalactic Astrophysics · Physics 2015-02-11 Boris Leistedt , Hiranya V. Peiris , Nina Roth

A measurement of a primordial non-Gaussianity (PNG) signal through late- or early-Universe probes has the potential to transform our understanding of the physics of the primordial Universe. $N$-body simulations, such as the public…

Cosmology and Nongalactic Astrophysics · Physics 2026-02-19 Boryana Hadzhiyska , Lehman Garrison , Daniel J. Eisenstein , Simone Ferraro

We analyse the large-scale angular clustering of quasars in the \gaia-\unwise quasar catalog, \quaia, and their cross-correlation with maps of the lensing convergence of the Cosmic Microwave Background (CMB), to constrain the level of…

Cosmology and Nongalactic Astrophysics · Physics 2026-05-19 Giulio Fabbian , David Alonso , Kate Storey-Fisher , Thomas Cornish

We present constraints on the amplitude of local Primordial Non-Gaussianities (PNG), $f_{\rm NL}$, using the quasar sample in the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey Data Release 16. We analyze the…

Cosmology and Nongalactic Astrophysics · Physics 2023-09-28 Marina S. Cagliari , Emanuele Castorina , Marco Bonici , Davide Bianchi

The primordial non-Gaussianity (PNG) in matter density perturbation is a very powerful probe of the physics of the very early Universe. The local PNG can induce a distinct scale-dependent bias on the large scale structure distribution of…

Cosmology and Nongalactic Astrophysics · Physics 2010-01-26 Yan Gong , Xin Wang , Zheng Zheng , Xuelei Chen

We present constraints on local primordial non-Gaussianity (PNG), parametrized through $f^{\rm loc}_{\rm NL}$, using the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey Data Release 14 quasar sample. We measure…

We use hydrodynamical separate universe simulations with the IllustrisTNG model to predict the local primordial non-Gaussianity (PNG) bias parameters $b_{\phi}$ and $b_{\phi\delta}$, which enter at leading order in the galaxy power spectrum…

Cosmology and Nongalactic Astrophysics · Physics 2022-01-21 Alexandre Barreira

Surveys of cosmological large-scale structure (LSS) are sensitive to the presence of local primordial non-Gaussianity (PNG), and may be used to constrain models of inflation. Local PNG, characterized by fNL, the amplitude of the quadratic…

Local primordial non-Gaussianity (PNG) is a promising observable of the underlying physics of inflation, characterised by $f_{\rm NL}^{\rm loc}$. We present the methodology to measure $f_{\rm NL}^{\rm loc}$ from the Dark Energy Survey (DES)…

Constraining primordial non-Gaussianities (PNG) is one of the main goals of new-generation large-scale galaxy surveys. It had been proposed that unclustered tracers (with bias $b_1=0$) could be optimal for PNG studies, and that these could…

Cosmology and Nongalactic Astrophysics · Physics 2026-03-18 Celia Merino , Santiago Avila , A. G. Adame , A. Anguren , V. Gonzalez-Perez , J. Meneses-Rizo

We constrain local primordial non-Gaussianity by a combined analysis of auto and cross-correlations of DESI DR1 tracers, leveraging LRGs and QSOs as well as ELGs between $0.8<z<3.1$. By cross-validating the signal across different…

Local-type primordial non-Gaussianity (PNG), predicted by many non-minimal models of inflation, creates a scale-dependent contribution to the power spectrum of large-scale structure (LSS) tracers. Its amplitude is characterized by the…

Cosmology and Nongalactic Astrophysics · Physics 2025-02-03 Boryana Hadzhiyska , Simone Ferraro

Models of cosmic inflation generically predict a weak but potentially detectable amount of primordial non-Gaussianity (PNG), which can be used to obtain insights into the degrees of freedom during inflation and their interactions. The…

Cosmology and Nongalactic Astrophysics · Physics 2025-12-05 Anton Chudaykin , Mikhail M. Ivanov , Oliver H. E. Philcox

It has recently been proposed that the large-scale bias of dark matter halos depends sensitively on primordial non-Gaussianity of the local form. In this paper we point out that the strong scale dependence of the non-Gaussian halo bias…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-20 Carlos Cunha , Dragan Huterer , Olivier Dore

Obtaining tight constraints on primordial non-Gaussianity (PNG) is a key step in discriminating between different models for cosmic inflation. The constraining power from large-scale structure (LSS) measurements is expected to overtake that…

Cosmology and Nongalactic Astrophysics · Physics 2024-11-25 James Morawetz , Enrique Paillas , Will J. Percival

Primordial non-Gaussianity (PNG) is a signature of fundamental physics in the early universe that is probed by cosmological observations. It is well known that the local type of PNG generates a strong signal in the two-point function of…

Cosmology and Nongalactic Astrophysics · Physics 2025-03-28 James M. Sullivan , Uros Seljak

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
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