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相关论文: Reconstructing Galaxy Spectral Energy Distribution…

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Estimating redshifts from broadband photometry is often limited by how accurately we can map the colors of galaxies to an underlying spectral template. Current techniques utilize spectrophotometric samples of galaxies or spectra derived…

天体物理仪器与方法 · 物理学 2025-03-11 John Franklin Crenshaw , Andrew J. Connolly

Understanding how the physical properties of galaxies (e.g. their spectral type or age) evolve as a function of redshift relies on having an accurate representation of galaxy spectral energy distributions. While it has been known for some…

天体物理学 · 物理学 2009-10-31 Tamas Budavari , Alexander S. Szalay , Andrew J. Connolly , Istvan Csabai , Mark E. Dickinson

Measuring the physical properties of galaxies such as redshift frequently requires the use of Spectral Energy Distributions (SEDs). SED template sets are, however, often small in number and cover limited portions of photometric color space.…

天体物理仪器与方法 · 物理学 2017-12-13 J. Bryce Kalmbach , Andrew J. Connolly

The cosmological exploitation of modern photometric galaxy surveys requires both accurate (unbiased) and precise (narrow) redshift probability distributions derived from broadband photometry. Existing methodologies do not meet those…

宇宙学与河外天体物理 · 物理学 2019-08-21 Boris Leistedt , David W. Hogg , Risa H. Wechsler , Joe DeRose

We construct a set of model spectra specifically designed to match the colours of the BOSS CMASS galaxies and to be used with photometric redshift template fitting techniques. As a basis we use a set of spectral energy distributions (SEDs)…

宇宙学与河外天体物理 · 物理学 2015-05-08 N. Greisel , S. Seitz , N. Drory , R. Bender , R. P. Saglia , J. Snigula

Accurately characterizing the redshift distributions of galaxies is essential for analysing deep photometric surveys and testing cosmological models. We present a technique to simultaneously infer redshift distributions and individual…

宇宙学与河外天体物理 · 物理学 2016-07-27 Boris Leistedt , Daniel J. Mortlock , Hiranya V. Peiris

Accurate photometric redshift estimation is critical for observational cosmology, especially in large-scale surveys where spectroscopic measurements are impractical. Traditional approaches include template fitting and machine learning, each…

天体物理仪器与方法 · 物理学 2026-04-15 Jonas Chris Ferrao , Dickson Dias , Pranav Naik , Glory D'Cruz , Anish Naik , Siya Khandeparkar , Manisha Gokuldas Fal Dessai

Large direct-imaging surveys usually use a template-fitting technique to estimate photometric redshifts for galaxies, which are then applied to derive important galaxy properties such as luminosities and stellar masses. These estimates can…

星系天体物理 · 物理学 2015-06-22 B. C. Hsieh , H. K. C. Yee

We discuss the stability of the photometric redshift estimate obtained with the SED fitting method with respect to the choice of the galaxy templates. Within the observational uncertainty and photometric errors, we find satisfactory…

天体物理学 · 物理学 2009-11-06 M. Massarotti , A. Iovino , A. Buzzoni

Cosmology and galaxy evolution studies with LSST, \Euclid, and {\it Roman}, will require accurate redshifts for the detected galaxies. In this study, we present improved photometric redshift estimates for galaxies using a template library…

星系天体物理 · 物理学 2020-08-06 Bomee Lee , Ranga-Ram Chary

We present a novel method capable of creating optimal eigenspectra from multicolor redshift surveys for photometric redshift estimation. Our iterative training algorithm modifies the templates to represent the photometric measurements…

天体物理学 · 物理学 2015-06-24 Tamas Budavari , Alex S. Szalay , Andrew J. Connolly , Istvan Csabai , Mark E. Dickinson

From SDSS commissioning photometric and spectroscopic data, we investigate the utility of photometric redshift techniques to the task of estimating QSO redshifts. We consider empirical methods (e.g. nearest-neighbor searches and polynomial…

天体物理学 · 物理学 2009-11-06 Tamas Budavari , Istvan Csabai , Alexander S. Szalay , Andrew J. Connolly , Gyula P. Szokoly

We present a new method for inferring photometric redshifts in deep galaxy and quasar surveys, based on a data driven model of latent spectral energy distributions (SEDs) and a physical model of photometric fluxes as a function of redshift.…

宇宙学与河外天体物理 · 物理学 2017-03-29 Boris Leistedt , David W. Hogg

The James Webb Space Telescope (JWST) has enabled the discovery of a significant population of galaxies at z > 10. Our understanding of the astrophysical properties of these galaxies relies on fitting templates developed using models…

天体物理仪器与方法 · 物理学 2026-04-09 Thorbjørn Clausen , Charles L. Steinhardt , Arden Shao , Gaurav Senthil Kumar

We seek to improve the accuracy of joint galaxy photometric redshift estimation and spectral energy distribution (SED) fitting. By simulating different sources of uncorrected systematic errors, we demonstrate that if the uncertainties on…

天体物理仪器与方法 · 物理学 2015-06-24 Viviana Acquaviva , Anand Raichoor , Eric Gawiser

We present a rigorous mathematical solution to photometric redshift estimation and the more general inversion problem. The challenge we address is to meaningfully constrain unknown properties of astronomical sources based on given…

天体物理学 · 物理学 2011-02-11 Tamas Budavari

Broad-band measurements of flux for galaxies at different redshifts measure different regions of the rest-frame galaxy spectrum. Certain astronomical questions, such as the evolution of the luminosity function of galaxies, require…

A method of obtaining approximate redshifts and spectral types of galaxies using a photometric system of six broad-bandpass filters is developed. The technique utilizes a smallest maximum difference approach rather than a least-squares…

天体物理学 · 物理学 2009-10-30 Charles T. Liu , Richard F. Green

In the next decade, the LSST will become a major facility for the astronomical community. However accurately determining the redshifts of the observed galaxies without using spectroscopy is a major challenge. Reconstruction of the redshifts…

宇宙学与河外天体物理 · 物理学 2015-06-12 Alexia Gorecki , Alexandra Abate , Réza Ansari , Aurélien Barrau , Sylvain Baumont , Marc Moniez , Jean-Stéphane Ricol
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