Inferring More from Less: Prospector as a Photometric Redshift Engine in the Era of JWST

Research output: Contribution to journalLetterResearchpeer-review

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Inferring More from Less : Prospector as a Photometric Redshift Engine in the Era of JWST. / Wang, Bingjie; Leja, Joel; Bezanson, Rachel; Johnson, Benjamin D.; Khullar, Gourav; Labbe, Ivo; Price, Sedona H.; Weaver, John R.; Whitaker, Katherine E.

In: Astrophysical Journal Letters, Vol. 944, No. 2, 58, 01.02.2023.

Research output: Contribution to journalLetterResearchpeer-review

Harvard

Wang, B, Leja, J, Bezanson, R, Johnson, BD, Khullar, G, Labbe, I, Price, SH, Weaver, JR & Whitaker, KE 2023, 'Inferring More from Less: Prospector as a Photometric Redshift Engine in the Era of JWST', Astrophysical Journal Letters, vol. 944, no. 2, 58. https://doi.org/10.3847/2041-8213/acba99

APA

Wang, B., Leja, J., Bezanson, R., Johnson, B. D., Khullar, G., Labbe, I., Price, S. H., Weaver, J. R., & Whitaker, K. E. (2023). Inferring More from Less: Prospector as a Photometric Redshift Engine in the Era of JWST. Astrophysical Journal Letters, 944(2), [58]. https://doi.org/10.3847/2041-8213/acba99

Vancouver

Wang B, Leja J, Bezanson R, Johnson BD, Khullar G, Labbe I et al. Inferring More from Less: Prospector as a Photometric Redshift Engine in the Era of JWST. Astrophysical Journal Letters. 2023 Feb 1;944(2). 58. https://doi.org/10.3847/2041-8213/acba99

Author

Wang, Bingjie ; Leja, Joel ; Bezanson, Rachel ; Johnson, Benjamin D. ; Khullar, Gourav ; Labbe, Ivo ; Price, Sedona H. ; Weaver, John R. ; Whitaker, Katherine E. / Inferring More from Less : Prospector as a Photometric Redshift Engine in the Era of JWST. In: Astrophysical Journal Letters. 2023 ; Vol. 944, No. 2.

Bibtex

@article{6fe85ec480404ea29a0cce91164a9c59,
title = "Inferring More from Less: Prospector as a Photometric Redshift Engine in the Era of JWST",
abstract = "The advent of the James Webb Space Telescope (JWST) signals a new era in exploring galaxies in the high-z universe. Current and upcoming JWST imaging will potentially detect galaxies at z similar to 20, creating a new urgency in the quest to infer accurate photometric redshifts (photo-z) for individual galaxies from their spectral energy distributions, as well as masses, ages, and star formation rates. Here we illustrate the utility of informed priors encoding previous observations of galaxies across cosmic time in achieving these goals. We construct three joint priors encoding empirical constraints of redshifts, masses, and star formation histories in the galaxy population within the Prospector Bayesian inference framework. In contrast with uniform priors, our model breaks an age-mass-redshift degeneracy, and thus reduces the mean bias error in masses from 0.3 to 0.1 dex, and in ages from 0.6 to 0.2 dex in tests done on mock JWST observations. Notably, our model recovers redshifts at least as accurately as the state-of-the-art photo-z code EAzY in deep JWST fields, but with two advantages: tailoring a model based on a particular survey is rendered mostly unnecessary given well-motivated priors; obtaining joint posteriors describing stellar, active galactic nuclei, gas, and dust contributions becomes possible. We can now confidently use the joint distribution to propagate full non-Gaussian redshift uncertainties into inferred properties of the galaxy population. This model, {"}Prospector-beta, {"} is intended for fitting galaxy photometry where the redshift is unknown, and will be instrumental in ensuring the maximum science return from forthcoming photometric surveys with JWST.",
keywords = "STELLAR POPULATION SYNTHESIS, STAR-FORMATION HISTORIES, GALAXY POPULATIONS, MESA ISOCHRONES, LEGACY SURVEY, BILLION YEARS, MASS, MODEL, EVOLUTION, I.",
author = "Bingjie Wang and Joel Leja and Rachel Bezanson and Johnson, {Benjamin D.} and Gourav Khullar and Ivo Labbe and Price, {Sedona H.} and Weaver, {John R.} and Whitaker, {Katherine E.}",
year = "2023",
month = feb,
day = "1",
doi = "10.3847/2041-8213/acba99",
language = "English",
volume = "944",
journal = "The Astrophysical Journal Letters",
issn = "2041-8205",
publisher = "IOP Publishing",
number = "2",

}

RIS

TY - JOUR

T1 - Inferring More from Less

T2 - Prospector as a Photometric Redshift Engine in the Era of JWST

AU - Wang, Bingjie

AU - Leja, Joel

AU - Bezanson, Rachel

AU - Johnson, Benjamin D.

AU - Khullar, Gourav

AU - Labbe, Ivo

AU - Price, Sedona H.

AU - Weaver, John R.

AU - Whitaker, Katherine E.

PY - 2023/2/1

Y1 - 2023/2/1

N2 - The advent of the James Webb Space Telescope (JWST) signals a new era in exploring galaxies in the high-z universe. Current and upcoming JWST imaging will potentially detect galaxies at z similar to 20, creating a new urgency in the quest to infer accurate photometric redshifts (photo-z) for individual galaxies from their spectral energy distributions, as well as masses, ages, and star formation rates. Here we illustrate the utility of informed priors encoding previous observations of galaxies across cosmic time in achieving these goals. We construct three joint priors encoding empirical constraints of redshifts, masses, and star formation histories in the galaxy population within the Prospector Bayesian inference framework. In contrast with uniform priors, our model breaks an age-mass-redshift degeneracy, and thus reduces the mean bias error in masses from 0.3 to 0.1 dex, and in ages from 0.6 to 0.2 dex in tests done on mock JWST observations. Notably, our model recovers redshifts at least as accurately as the state-of-the-art photo-z code EAzY in deep JWST fields, but with two advantages: tailoring a model based on a particular survey is rendered mostly unnecessary given well-motivated priors; obtaining joint posteriors describing stellar, active galactic nuclei, gas, and dust contributions becomes possible. We can now confidently use the joint distribution to propagate full non-Gaussian redshift uncertainties into inferred properties of the galaxy population. This model, "Prospector-beta, " is intended for fitting galaxy photometry where the redshift is unknown, and will be instrumental in ensuring the maximum science return from forthcoming photometric surveys with JWST.

AB - The advent of the James Webb Space Telescope (JWST) signals a new era in exploring galaxies in the high-z universe. Current and upcoming JWST imaging will potentially detect galaxies at z similar to 20, creating a new urgency in the quest to infer accurate photometric redshifts (photo-z) for individual galaxies from their spectral energy distributions, as well as masses, ages, and star formation rates. Here we illustrate the utility of informed priors encoding previous observations of galaxies across cosmic time in achieving these goals. We construct three joint priors encoding empirical constraints of redshifts, masses, and star formation histories in the galaxy population within the Prospector Bayesian inference framework. In contrast with uniform priors, our model breaks an age-mass-redshift degeneracy, and thus reduces the mean bias error in masses from 0.3 to 0.1 dex, and in ages from 0.6 to 0.2 dex in tests done on mock JWST observations. Notably, our model recovers redshifts at least as accurately as the state-of-the-art photo-z code EAzY in deep JWST fields, but with two advantages: tailoring a model based on a particular survey is rendered mostly unnecessary given well-motivated priors; obtaining joint posteriors describing stellar, active galactic nuclei, gas, and dust contributions becomes possible. We can now confidently use the joint distribution to propagate full non-Gaussian redshift uncertainties into inferred properties of the galaxy population. This model, "Prospector-beta, " is intended for fitting galaxy photometry where the redshift is unknown, and will be instrumental in ensuring the maximum science return from forthcoming photometric surveys with JWST.

KW - STELLAR POPULATION SYNTHESIS

KW - STAR-FORMATION HISTORIES

KW - GALAXY POPULATIONS

KW - MESA ISOCHRONES

KW - LEGACY SURVEY

KW - BILLION YEARS

KW - MASS

KW - MODEL

KW - EVOLUTION

KW - I.

U2 - 10.3847/2041-8213/acba99

DO - 10.3847/2041-8213/acba99

M3 - Letter

VL - 944

JO - The Astrophysical Journal Letters

JF - The Astrophysical Journal Letters

SN - 2041-8205

IS - 2

M1 - 58

ER -

ID: 340973127