Stochastic star formation activity of galaxies within the first billion years probed by JWST

Early observations with the James Webb Space Telescope have highlighted the excess of UV-bright galaxies at z > 10, with a derived UV luminosity function (UVLF) that exhibits a softer evolution in redshift than expected. This unexpected trend may result from several proposed mechanisms, including a high star formation efficiency (SFE) or a bursty star formation history (SFH). In this work, we aim to characterize the burstiness level of high redshift galaxy SFHs and its evolution. We implemented a stochastic SFH module in CIGALE using power spectrum densities, to estimate the burstiness level of star formation in galaxies at 6 < z < 12. We find that SFHs with a high level of stochasticity better reproduce the Spectral Energy Distributions of z > 6 galaxies, while smoother assumptions introduce biases when applied to galaxies with bursty star formation activity. The assumed stochasticity level of the SFH also affects the constraints on galaxies’ physical properties, producing a strong and tight relation between the star formation rate (SFR) and stellar mass in the case of a smooth SFH, down to a weak relation at z ≥ 7 for an SFH with a high level of stochasticity. Successively assuming different levels of burstiness, we determined the best-suited SFH for each 6 < z < 12 galaxy in the JADES sample from a Bayes factor analysis. Galaxies are classified according to their level of burstiness, and the corresponding physical properties are associated with them. For massive galaxies (8.8 < log M ★ / M ⊙ < 9.5), the fraction of bursty galaxies increases from 0.38 ± 0.08 to 0.77 ± 0.2 at z ∼ 6 and z ∼ 12, respectively. At all redshifts, only < 20% of low-mass galaxies are classified as bursty; although, this estimate is uncertain because their faintness leads to a low signal-to-noise ratio. For bursty galaxies, the log 10 (SFR 10 /SFR 100 ) ratio, another indicator of bursty star formation, does not evolve with redshift, but the fraction of galaxies with a high log 10 (SFR 10 /SFR 100 ) slightly increases from 0.28 ± 0.06 to 0.38 ± 0.11 between z ∼ 6 and z ∼ 9. We include additional constraints from observations on σ UV , the dispersion of the UV magnitude distribution, and SFE, finding a maximum of 0.72 ± 0.02 mag and 0.06 ± 0.01 for σ UV and SFE, respectively. This confirms that neither alone is responsible for the weak evolution of the UVLF at z > 10. Our results add further evidence that a combination with other mechanisms is likely responsible for the high- z UVLF. The stochastic SFH module is public as part of CIGALE version 2025.1.

Authors

Institutions

Publication Details

Journal
Astronomy and Astrophysics
Published
2025-11-13
DOI
https://doi.org/10.1051/0004-6361/202556471
Citations
1
Primary Topic
Astronomy and Astrophysical Research
Type
article
Field-Weighted Citation Impact
1.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stochastic star formation activity of galaxies within the first billion years probed by JWST

Callum Witten, M. Boquien, Marko Shuntov, L. Ciesla et al.
1 citations
Astronomy and Astrophysics
Astronomy and Astrophysical Research
1.19
article

Stochastic star formation activity of galaxies within the first billion years probed by JWST

Callum Witten, M. Boquien, Marko Shuntov, L. Ciesla, Cristian Carvajal-Bohorquez, Alba Covelo-Paz, N. Laporte, G. Aufort, P. A. Oesch, V. Buat, O. Ilbert
article en
1 citations

Abstract

Early observations with the James Webb Space Telescope have highlighted the excess of UV-bright galaxies at z > 10, with a derived UV luminosity function (UVLF) that exhibits a softer evolution in redshift than expected. This unexpected trend may result from several proposed mechanisms, including a high star formation efficiency (SFE) or a bursty star formation history (SFH). In this work, we aim to characterize the burstiness level of high redshift galaxy SFHs and its evolution. We implemented a stochastic SFH module in CIGALE using power spectrum densities, to estimate the burstiness level of star formation in galaxies at 6 < z < 12. We find that SFHs with a high level of stochasticity better reproduce the Spectral Energy Distributions of z > 6 galaxies, while smoother assumptions introduce biases when applied to galaxies with bursty star formation activity. The assumed stochasticity level of the SFH also affects the constraints on galaxies’ physical properties, producing a strong and tight relation between the star formation rate (SFR) and stellar mass in the case of a smooth SFH, down to a weak relation at z ≥ 7 for an SFH with a high level of stochasticity. Successively assuming different levels of burstiness, we determined the best-suited SFH for each 6 < z < 12 galaxy in the JADES sample from a Bayes factor analysis. Galaxies are classified according to their level of burstiness, and the corresponding physical properties are associated with them. For massive galaxies (8.8 < log M ★ / M ⊙ < 9.5), the fraction of bursty galaxies increases from 0.38 ± 0.08 to 0.77 ± 0.2 at z ∼ 6 and z ∼ 12, respectively. At all redshifts, only < 20% of low-mass galaxies are classified as bursty; although, this estimate is uncertain because their faintness leads to a low signal-to-noise ratio. For bursty galaxies, the log 10 (SFR 10 /SFR 100 ) ratio, another indicator of bursty star formation, does not evolve with redshift, but the fraction of galaxies with a high log 10 (SFR 10 /SFR 100 ) slightly increases from 0.28 ± 0.06 to 0.38 ± 0.11 between z ∼ 6 and z ∼ 9. We include additional constraints from observations on σ UV , the dispersion of the UV magnitude distribution, and SFE, finding a maximum of 0.72 ± 0.02 mag and 0.06 ± 0.01 for σ UV and SFE, respectively. This confirms that neither alone is responsible for the weak evolution of the UVLF at z > 10. Our results add further evidence that a combination with other mechanisms is likely responsible for the high- z UVLF. The stochastic SFH module is public as part of CIGALE version 2025.1.

Astronomy and AstrophysicsVol. 704
University of Geneva (CH), University of Copenhagen (DK), Centre National de la Recherche Scientifique (FR), Université Côte d'Azur (FR), Aix-Marseille Université (FR), Institut d'Astrophysique de Paris (FR), Sorbonne Université (FR), DAWN Center for Independent Living (US), Observatoire de la Côte d’Azur (FR)
Openalex Percentile: Top 16%
Astronomy and Astrophysical Research
1.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.