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To fully extract cosmological information from nonlinear galaxy distribution in redshift space, it is essential to include higher-order statistics beyond the two-point correlation function. In this paper, we propose a new decomposition…

Cosmology and Nongalactic Astrophysics · Physics 2019-08-20 Naonori S. Sugiyama , Shun Saito , Florian Beutler , Hee-Jong Seo

Nonnegative matrix factorization (NMF) is a powerful class of feature extraction techniques that has been successfully applied in many fields, namely in signal and image processing. Current NMF techniques have been limited to a…

Machine Learning · Statistics 2015-01-26 Paul Honeine , Fei Zhu

Spectroscopic anomaly detection and isotope identification algorithms are integral components in nuclear nonproliferation applications such as search operations. The task is especially challenging in the case of mobile detector systems due…

Redshift is a key quantity for inferring cosmological model parameters. In photometric redshift estimation, cosmologists use the coarse data collected from the vast majority of galaxies to predict the redshift of individual galaxies. To…

Applications · Statistics 2016-04-07 Rafael Izbicki , Ann B. Lee , Peter E. Freeman

We describe a new method for measuring the true redshift distribution of any set of objects studied only photometrically. The angular cross-correlation between objects in a photometric sample with objects in some spectroscopic sample as a…

Astrophysics · Physics 2009-11-13 Jeffrey A. Newman

Non-negative matrix factorization (NMF) is an important technique for obtaining low dimensional representations of datasets. However, classical NMF does not take into account data that is collected at different times or in different…

Machine Learning · Computer Science 2023-11-21 James Chapman , Yotam Yaniv , Deanna Needell

We present a multi-modal foundation model for astrophysical galaxy data, designed to map between simulation- and observation-based galactic features. Our encoder-only transformer flexibly ingests scalar quantities (e.g., redshifts, galaxy…

Astrophysics of Galaxies · Physics 2025-10-10 Bin Xia , Nesar Ramachandra , Azton I. Wells , Salman Habib , John Wise

We present the DARTH FADER algorithm, a new wavelet-based method for estimating redshifts of galaxy spectra in spectral surveys that is particularly adept in the very low SNR regime. We use a standard cross-correlation method to estimate…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-17 D. P. Machado , A. Leonard , J. -L. Starck , F. B. Abdalla , S. Jouvel

The 2dF Galaxy Redshift Survey (2dFGRS) is designed to measure redshifts for approximately 250000 galaxies. This paper describes the survey design, the spectroscopic observations, the redshift measurements and the survey database. The…

We propose a novel methodology for forecasting spatio-temporal data using supervised semi-nonnegative matrix factorization (SSNMF) with frequency regularization. Matrix factorization is employed to decompose spatio-temporal data into…

Machine Learning · Statistics 2024-06-21 Keunsu Kim , Hanbaek Lyu , Jinsu Kim , Jae-Hun Jung

(abridged) High-z galaxy redshift surveys open up exciting possibilities for precision determinations of neutrino masses and inflationary models. The high-z surveys are more useful for cosmology than low-z ones owing to much weaker…

Astrophysics · Physics 2009-11-13 Masahiro Takada , Eiichiro Komatsu , Toshifumi Futamase

We present a data-driven method - heteroscedastic matrix factorization, a kind of probabilistic factor analysis - for modeling or performing dimensionality reduction on observed spectra or other high-dimensional data with known but…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-03 P. Tsalmantza , David W. Hogg

We measure photometric redshifts and spectral types for galaxies in the COSMOS survey. We use template fitting technique combined with luminosity function priors and with the option to simultaneously estimate dust extinction (i.e. E(B-V))…

A recent theoretical analysis shows the equivalence between non-negative matrix factorization (NMF) and spectral clustering based approach to subspace clustering. As NMF and many of its variants are essentially linear, we introduce a…

Machine Learning · Statistics 2018-10-08 Dijana Tolic , Nino Antulov-Fantulin , Ivica Kopriva

The ESA Euclid mission will produce photometric galaxy samples over 15000 square degrees of the sky that will be rich for clustering and weak lensing statistics. The accuracy of the cosmological constraints derived from these measurements…

Cosmology and Nongalactic Astrophysics · Physics 2022-03-30 M. S. Cagliari , B. R. Granett , L. Guzzo , M. Bolzonella , L. Pozzetti , I. Tutusaus , S. Camera , A. Amara , N. Auricchio , R. Bender , C. Bodendorf , D. Bonino , E. Branchini , M. Brescia , V. Capobianco , C. Carbone , J. Carretero , F. J. Castander , M. Castellano , S. Cavuoti , A. Cimatti , R. Cledassou , G. Congedo , C. J. Conselice , L. Conversi , Y. Copin , L. Corcione , M. Cropper , H. Degaudenzi , M. Douspis , F. Dubath , S. Dusini , A. Ealet , S. Ferriol , N. Fourmanoit , M. Frailis , E. Franceschi , P. Franzetti , B. Garilli , C. Giocoli , A. Grazian , F. Grupp , S. V. H. Haugan , H. Hoekstra , W. Holmes , F. Hormuth , P. Hudelot , K. Jahnke , S. Kermiche , A. Kiessling , M. Kilbinger , T. Kitching , M. Kummel , M. Kunz , H. Kurki-Suonio , S. Ligori , P. B. Lilje , I. Lloro , E. Maiorano , O. Mansutti , O. Marggraf , K. Markovic , R. Massey , M. Meneghetti , E. Merlin , G. Meylan , M. Moresco , L. Moscardini , S. M. Niemi , C. Padilla , S. Paltani , F. Pasian , K. Pedersen , W. J. Percival , V. Pettorino , S. Pires , M. Poncet , L. Popa , F. Raison , R. Rebolo , J. Rhodes , H. -W. Rix , M. Roncarelli , E. Rossetti , R. Saglia , R. Scaramella , P. Schneider , M. Scodeggio , A. Secroun , G. Seidel , S. Serrano , C. Sirignano , G. Sirri , D. Tavagnacco , A. N. Taylor , I. Tereno , R. Toledo-Moreo , E. A. Valentijn , L. Valenziano , Y. Wang , N. Welikala , J. Weller , G. Zamorani , J. Zoubian , M. Baldi , R. Farinelli , E. Medinaceli , S. Mei , G. Polenta , E. Romelli , T. Vassallo , A. Humphrey

Wide field images taken in several photometric bands allow simultaneous measurement of redshifts for thousands of galaxies. A variety of algorithms to make this measurement have appeared in the last few years, the majority of which can be…

Cosmology and Nongalactic Astrophysics · Physics 2016-05-11 Juan De Vicente , Eusebio Sánchez , Ignacio Sevilla

Photometric redshifts are necessary for enabling large-scale multicolour galaxy surveys to interpret their data and constrain cosmological parameters. While the increased depth of future surveys such as the Large Synoptic Survey Telescope…

Cosmology and Nongalactic Astrophysics · Physics 2018-12-03 Daniel M. Jones , Alan F. Heavens

We present a generalized Non-negative factorization (NMF)-based data reduction pipeline for circumstellar disk and exoplanet detection. By using an adaptable pre-processing routine that applies algorithmic masks and corrections to improper…

Instrumentation and Methods for Astrophysics · Physics 2023-10-10 Sai Krishanth P. M. , Ewan S. Douglas , Justin Hom , Ramya M. Anche , John Debes , Isabel Rebollido , Bin B. Ren

(Abridged) In this paper we present photometric redshift estimates for a sample of X-ray selected sources detected in the wide field (~2 deg^2), bright [f_{X} (0.5-8 keV)~10^{-14} cgs] XMM-Newton/2dF survey. Unlike deeper X-ray samples…

Astrophysics · Physics 2008-11-26 S. Kitsionas , E. Hatziminaoglou , A. Georgakakis , I. Georgantopoulos

Source confusion defines a practical depth to which to take large-area extragalactic surveys. 3D imaging spectrometers with positional as well as spectral information, however, potentially provide a means by which to use line emission to…

Instrumentation and Methods for Astrophysics · Physics 2015-05-18 Gwenifer Raymond , Kate G. Isaak , Dave Clements , Adam Rykala , Chris Pearson