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A CRITICAL ASSESSMENT OF S℡LAR MASS MEASUREMENT METHODS

Identifieur interne : 000135 ( France/Analysis ); précédent : 000134; suivant : 000136

A CRITICAL ASSESSMENT OF S℡LAR MASS MEASUREMENT METHODS

Auteurs : Bahram Mobasher [États-Unis] ; Tomas Dahlen ; Henry C. Ferguson ; Viviana Acquaviva ; Guillermo Barro ; Steven L. Finkelstein ; Adriano Fontana ; Ruth Gruetzbauch ; Seth Johnson ; Yu Lu [France] ; Casey J. Papovich ; Janine Pforr ; Mara Salvato [Allemagne] ; Rachel S. Somerville ; Tommy Wiklind ; Stijn Wuyts ; Matthew L. N. Ashby ; Eric Bell [États-Unis] ; Christopher J. Conselice ; Mark E. Dickinson ; Sandra M. Faber ; Giovanni Fazio ; Kristian Finlator ; Audrey Galametz ; Eric Gawiser ; Mauro Giavalisco ; Andrea Grazian ; Norman A. Grogin ; Yicheng Guo ; Nimish Hathi ; Dale Kocevski ; Anton M. Koekemoer ; David C. Koo ; Jeffrey A. Newman [États-Unis] ; Naveen Reddy ; Paola Santini [Italie] ; Risa H. Wechsler

Source :

RBID : Hal:hal-01440004

Abstract

This is the second paper in a series aimed at investigating the main sources of uncertainty in measuring the observable parameters in galaxies from their spectral energy distributions (SEDs). In the first paper we presented a detailed account of the photometric redshift measurements and an error analysis of this process. In this paper we perform a comprehensive study of the main sources of random and systematic error in stellar mass estimates for galaxies, and their relative contributions to the associated error budget. Since there is no prior knowledge of the stellar mass of galaxies (unlike their photometric redshifts), we use mock galaxy catalogs with simulated multi-waveband photometry and known redshift, stellar mass, age and extinction for individual galaxies. The multi-waveband photometry for the simulated galaxies were generated in 13 filters spanning from U-band to mid- infrared wavelengths. Given different parameters affecting stellar mass measurement (photometric signal-to-noise ratios (S/N), SED fitting errors and systematic effects), the inherent degeneracies and correlated errors, we formulated different simulated galaxy catalogs to quantify these effects individually. For comparison, we also generated catalogs based on observed photometric data of real galaxies in the Great Observatories Origins Deep Survey-South field, spanning the same passbands. The simulated and observed catalogs were provided to a number of teams within the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey collaboration to estimate the stellar masses for individual galaxies. A total of 11 teams participated, with different combinations of stellar mass measurement codes/methods, population synthesis models, star formation histories, extinction and age. For each simulated galaxy, the differences between the input stellar masses, M-input, and those estimated by each team, M-est, is defined as Delta log(M) equivalent to log(M-estimated) - log(M-input), and used to identify the most fundamental parameters affecting stellar mass estimate in galaxies, with the following results. (1) No significant bias in Delta log(M) was found among different codes, with all having comparable scatter (sigma(Dlog(M))= 0.136 dex). The estimated stellar mass values are seriously affected by low photometric S/N, with the rms scatter increasing for galaxies with H-AB \textgreater 26 mag; (2) A source of error contributing to the scatter in Delta log(M) is found to be due to photometric uncertainties (0.136 dex) and low resolution in age and extinction grids when generating the SED templates; (3) The median of stellar masses among different methods provides a stable measure of the mass associated with any given galaxy (sigma(Delta log(M)) = 0.142 dex); (4) The Delta log(M) values are strongly correlated with deviations in age (defined as the difference between the estimated and expected values), with a weaker correlation with extinction; (5) The rms scatter in the estimated stellar masses due to free parameters (after fixing redshifts and initial mass function) are quantified and found to be sigma(Delta log(M)) = 0.110 dex; (6) Using the observed data, we studied the sensitivity of stellar masses to both the population synthesis codes and inclusion of nebular emission lines and found them to affect the stellar mass by 0.2 and 0.3 dex respectively.

Url:
DOI: 10.1088/0004-637X/808/1/101


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Hal:hal-01440004

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<orgName>Department of Astronomy</orgName>
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<name sortKey="Grazian, Andrea" sort="Grazian, Andrea" uniqKey="Grazian A" first="Andrea" last="Grazian">Andrea Grazian</name>
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<name sortKey="Guo, Yicheng" sort="Guo, Yicheng" uniqKey="Guo Y" first="Yicheng" last="Guo">Yicheng Guo</name>
</author>
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<name sortKey="Hathi, Nimish" sort="Hathi, Nimish" uniqKey="Hathi N" first="Nimish" last="Hathi">Nimish Hathi</name>
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<name sortKey="Kocevski, Dale" sort="Kocevski, Dale" uniqKey="Kocevski D" first="Dale" last="Kocevski">Dale Kocevski</name>
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<name sortKey="Koekemoer, Anton M" sort="Koekemoer, Anton M" uniqKey="Koekemoer A" first="Anton M." last="Koekemoer">Anton M. Koekemoer</name>
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<author>
<name sortKey="Koo, David C" sort="Koo, David C" uniqKey="Koo D" first="David C." last="Koo">David C. Koo</name>
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<name sortKey="Newman, Jeffrey A" sort="Newman, Jeffrey A" uniqKey="Newman J" first="Jeffrey A." last="Newman">Jeffrey A. Newman</name>
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<orgName>Department of Physics & Astronomy, University of Pittsburgh</orgName>
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<addrLine>309 Allen Hall Department of Physics & Astronomy Pittsburgh Pa 15260 USA</addrLine>
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</address>
<ref type="url">http://www.phyast.pitt.edu/</ref>
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<settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
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<orgName type="university">Université de Pittsburgh</orgName>
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<author>
<name sortKey="Reddy, Naveen" sort="Reddy, Naveen" uniqKey="Reddy N" first="Naveen" last="Reddy">Naveen Reddy</name>
</author>
<author>
<name sortKey="Santini, Paola" sort="Santini, Paola" uniqKey="Santini P" first="Paola" last="Santini">Paola Santini</name>
<affiliation wicri:level="1">
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<orgName>INAF - Osservatorio Astrofisico di Arcetri</orgName>
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<addrLine>Largo Enrico Fermi 5, I - 50125 Firenze. Italia</addrLine>
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<ref type="url">http://www.arcetri.astro.it/</ref>
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<orgName>Istituto Nazionale di Astrofisica</orgName>
<orgName type="acronym">INAF</orgName>
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<address>
<addrLine>Viale del Parco Mellini 84, 00136 Roma</addrLine>
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<country>Italie</country>
</affiliation>
</author>
<author>
<name sortKey="Wechsler, Risa H" sort="Wechsler, Risa H" uniqKey="Wechsler R" first="Risa H." last="Wechsler">Risa H. Wechsler</name>
</author>
</analytic>
<idno type="DOI">10.1088/0004-637X/808/1/101</idno>
<series>
<title level="j">Astrophysical Journal</title>
<idno type="ISSN">0004-637X</idno>
<imprint>
<date type="datePub">2015-07</date>
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<front>
<div type="abstract" xml:lang="en">This is the second paper in a series aimed at investigating the main sources of uncertainty in measuring the observable parameters in galaxies from their spectral energy distributions (SEDs). In the first paper we presented a detailed account of the photometric redshift measurements and an error analysis of this process. In this paper we perform a comprehensive study of the main sources of random and systematic error in stellar mass estimates for galaxies, and their relative contributions to the associated error budget. Since there is no prior knowledge of the stellar mass of galaxies (unlike their photometric redshifts), we use mock galaxy catalogs with simulated multi-waveband photometry and known redshift, stellar mass, age and extinction for individual galaxies. The multi-waveband photometry for the simulated galaxies were generated in 13 filters spanning from U-band to mid- infrared wavelengths. Given different parameters affecting stellar mass measurement (photometric signal-to-noise ratios (S/N), SED fitting errors and systematic effects), the inherent degeneracies and correlated errors, we formulated different simulated galaxy catalogs to quantify these effects individually. For comparison, we also generated catalogs based on observed photometric data of real galaxies in the Great Observatories Origins Deep Survey-South field, spanning the same passbands. The simulated and observed catalogs were provided to a number of teams within the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey collaboration to estimate the stellar masses for individual galaxies. A total of 11 teams participated, with different combinations of stellar mass measurement codes/methods, population synthesis models, star formation histories, extinction and age. For each simulated galaxy, the differences between the input stellar masses, M-input, and those estimated by each team, M-est, is defined as Delta log(M) equivalent to log(M-estimated) - log(M-input), and used to identify the most fundamental parameters affecting stellar mass estimate in galaxies, with the following results. (1) No significant bias in Delta log(M) was found among different codes, with all having comparable scatter (sigma(Dlog(M))= 0.136 dex). The estimated stellar mass values are seriously affected by low photometric S/N, with the rms scatter increasing for galaxies with H-AB \textgreater 26 mag; (2) A source of error contributing to the scatter in Delta log(M) is found to be due to photometric uncertainties (0.136 dex) and low resolution in age and extinction grids when generating the SED templates; (3) The median of stellar masses among different methods provides a stable measure of the mass associated with any given galaxy (sigma(Delta log(M)) = 0.142 dex); (4) The Delta log(M) values are strongly correlated with deviations in age (defined as the difference between the estimated and expected values), with a weaker correlation with extinction; (5) The rms scatter in the estimated stellar masses due to free parameters (after fixing redshifts and initial mass function) are quantified and found to be sigma(Delta log(M)) = 0.110 dex; (6) Using the observed data, we studied the sensitivity of stellar masses to both the population synthesis codes and inclusion of nebular emission lines and found them to affect the stellar mass by 0.2 and 0.3 dex respectively.</div>
</front>
</TEI>
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<list>
<country>
<li>Allemagne</li>
<li>France</li>
<li>Italie</li>
<li>États-Unis</li>
</country>
<region>
<li>Pays de la Loire</li>
<li>Pennsylvanie</li>
<li>Région Bretagne</li>
</region>
<settlement>
<li>Nantes</li>
<li>Pittsburgh</li>
<li>Rennes</li>
</settlement>
<orgName>
<li>Université de Nantes</li>
<li>Université de Pittsburgh</li>
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<name sortKey="Finkelstein, Steven L" sort="Finkelstein, Steven L" uniqKey="Finkelstein S" first="Steven L." last="Finkelstein">Steven L. Finkelstein</name>
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<name sortKey="Papovich, Casey J" sort="Papovich, Casey J" uniqKey="Papovich C" first="Casey J." last="Papovich">Casey J. Papovich</name>
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<name sortKey="Somerville, Rachel S" sort="Somerville, Rachel S" uniqKey="Somerville R" first="Rachel S." last="Somerville">Rachel S. Somerville</name>
<name sortKey="Wechsler, Risa H" sort="Wechsler, Risa H" uniqKey="Wechsler R" first="Risa H." last="Wechsler">Risa H. Wechsler</name>
<name sortKey="Wiklind, Tommy" sort="Wiklind, Tommy" uniqKey="Wiklind T" first="Tommy" last="Wiklind">Tommy Wiklind</name>
<name sortKey="Wuyts, Stijn" sort="Wuyts, Stijn" uniqKey="Wuyts S" first="Stijn" last="Wuyts">Stijn Wuyts</name>
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<name sortKey="Newman, Jeffrey A" sort="Newman, Jeffrey A" uniqKey="Newman J" first="Jeffrey A." last="Newman">Jeffrey A. Newman</name>
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<name sortKey="Lu, Yu" sort="Lu, Yu" uniqKey="Lu Y" first="Yu" last="Lu">Yu Lu</name>
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