Hourly radio variability of PD,70c from time-differential photometry

The radio emission mechanisms from accreting protoplanets and their variability link observations and physical properties. We revisit the variability of the ∼343,GHz (ALMA Band 7) flux density from PDS,70c (F_ B7). The subtraction of the extended time-averaged signal may enable the measurement of the flux density from variable and embedded point sources. Visibility alignment and self-calibration yield close to thermal residuals in each execution block (EB) of ALMA observations, thus allowing the time-differential photometry of point-sources in the visibility domain. The variability of PDS,70c was checked against synthetic control point sources. In images of the 2017 ALMA dataset, with three ∼1,h EBs, PDS,70c was detected only on 6 December 2017, where F_ B7 rose by 228% (3.3σ). Time-differential photometry confirms a rise by 170% (t) shows some scatter when splitting the deep 2023 EBs into 20,min intervals, with a ̧hi^2 test significant at 2.6,σ, and an intrinsic dispersion of 49% (3.7σ). An application to ∼2,h EBs from the 2023 dataset resulted in constant flux densities, within a scatter of ∼15%. However, F_ ̊m B7 The radio variability of PDS,70c, observed over hours but averaged out on longer timescales, is indeed expected if the signal is due to i free-free from an accretion shock on a circumplanetary disk surface. A planet-to-environment mass ratio <10^-4 is required to avoid smoothing by radiative diffusion if the signal is due to thermal emission from the environment.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-05-12
DOI
https://doi.org/10.1051/0004-6361/202659553/pdf
Primary Topic
Astrophysics and Star Formation Studies
Type
article
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article

Hourly radio variability of PD,70c from time-differential photometry

Gabriel-Dominique Marleau, Yuhiko Aoyama, Barbara Ercolano, Oriana Domínguez-Jamett et al.
Springer Link (Chiba Institute of Technology)
Astrophysics and Star Formation Studies
article

Hourly radio variability of PD,70c from time-differential photometry

Gabriel-Dominique Marleau, Yuhiko Aoyama, Barbara Ercolano, Oriana Domínguez-Jamett, Simon Casassus, Miguel Cárcamo, Hauyu Baobab Liu, Ondřej Chrenko
article en

Abstract

The radio emission mechanisms from accreting protoplanets and their variability link observations and physical properties. We revisit the variability of the ∼343,GHz (ALMA Band 7) flux density from PDS,70c (F_ B7). The subtraction of the extended time-averaged signal may enable the measurement of the flux density from variable and embedded point sources. Visibility alignment and self-calibration yield close to thermal residuals in each execution block (EB) of ALMA observations, thus allowing the time-differential photometry of point-sources in the visibility domain. The variability of PDS,70c was checked against synthetic control point sources. In images of the 2017 ALMA dataset, with three ∼1,h EBs, PDS,70c was detected only on 6 December 2017, where F_ B7 rose by 228% (3.3σ). Time-differential photometry confirms a rise by 170% (t) shows some scatter when splitting the deep 2023 EBs into 20,min intervals, with a ̧hi^2 test significant at 2.6,σ, and an intrinsic dispersion of 49% (3.7σ). An application to ∼2,h EBs from the 2023 dataset resulted in constant flux densities, within a scatter of ∼15%. However, F_ ̊m B7 The radio variability of PDS,70c, observed over hours but averaged out on longer timescales, is indeed expected if the signal is due to i free-free from an accretion shock on a circumplanetary disk surface. A planet-to-environment mass ratio <10^-4 is required to avoid smoothing by radiative diffusion if the signal is due to thermal emission from the environment.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 4%
Astrophysics and Star Formation Studies
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Hourly radio variability of PD,70c from time-differential photometry — Gabriel-Dominique Marleau, Yuhiko Aoyama, et al. · Springer Link (Chiba Institute of Technology) (2026) | TGRS Research Map | TGRS