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PreprintCC BY 4.0arXiv

Investigating anomalous microwave emission near G107.2+5.20 in Ku-band with the Green Bank Telescope

Abstract

Anomalous microwave emission (AME) is 30 GHz-peaking continuum emission thought to arise from spinning dust grains. Observations suggest that the local environment shapes the AME spectral energy distribution (SED), so building a spatially resolved sample of AME regions is a key step towards understanding its emission mechanism. Using the Green Bank Telescope Ku-band receiver, we obtained a ~1 arcmin resolution map of radius 1.25 deg centered on G107.2+5.20. Our first objective was to constrain the low-frequency side of the AME SED with 13 GHz data. Using matched-resolution aperture photometry, we measure the SED from 408 MHz-3 THz and fit two emission models: one including spinning dust, the other optically thick free-free emission. We find that the spinning dust model is superior, with an amplitude of 14.1±1.1 Jy and a peak frequency of 27±2 GHz. Our second objective was to spatially locate excess 13 GHz emission consistent with spinning dust. We compare our Ku-band map to multi-wavelength gas and dust tracers at ~4 arcmin resolution. We observe two sources of 13 GHz excess at 3σ significance consistent with spinning dust emission, though potential contributions from optically thick free-free emission remain ambiguous. ``Region A'' (G106.95+5.19) is spatially coincident with peak dust radiance. ``Region B'' (G107.08+4.90) is spatially coincident with peak PAH abundance. If regions A and B are indeed sources of spinning dust emission, they are a resolved example of how AME-dust correlation varies with environment.

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BibTeX
@misc{shroyer2026investigating,
  title = {{Investigating anomalous microwave emission near G107.2+5.20 in Ku-band with the Green Bank Telescope}},
  author = {Jordan E. Shroyer and Bradley R. Johnson and Dillon J. Bass and Anna Dignan and Stuart E. Harper and Brian S. Mason and Andrey Moore and Eric J. Murphy},
  howpublished = {arXiv},
  year = {2026},
  month = jul,
  doi = {10.48550/arxiv.2607.14084},
  eprint = {2607.14084},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.14084},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Investigating anomalous microwave emission near G107.2+5.20 in Ku-band with the Green Bank Telescope
AU  - Jordan E. Shroyer
AU  - Bradley R. Johnson
AU  - Dillon J. Bass
AU  - Anna Dignan
AU  - Stuart E. Harper
AU  - Brian S. Mason
AU  - Andrey Moore
AU  - Eric J. Murphy
PY  - 2026
DA  - 2026/07/31
PB  - arXiv
DO  - 10.48550/arxiv.2607.14084
UR  - https://arxiv.org/abs/2607.14084
AB  - Anomalous microwave emission (AME) is 30 GHz-peaking continuum emission thought to arise from spinning dust grains. Observations suggest that the local environment shapes the AME spectral energy distribution (SED), so building a spatially resolved sample of AME regions is a key step towards understanding its emission mechanism. Using the Green Bank Telescope Ku-band receiver, we obtained a ~1 arcmin resolution map of radius 1.25 deg centered on G107.2+5.20. Our first objective was to constrain the low-frequency side of the AME SED with 13 GHz data. Using matched-resolution aperture photometry, we measure the SED from 408 MHz-3 THz and fit two emission models: one including spinning dust, the other optically thick free-free emission. We find that the spinning dust model is superior, with an amplitude of 14.1±1.1 Jy and a peak frequency of 27±2 GHz. Our second objective was to spatially locate excess 13 GHz emission consistent with spinning dust. We compare our Ku-band map to multi-wavelength gas and dust tracers at ~4 arcmin resolution. We observe two sources of 13 GHz excess at 3σ significance consistent with spinning dust emission, though potential contributions from optically thick free-free emission remain ambiguous. ``Region A'' (G106.95+5.19) is spatially coincident with peak dust radiance. ``Region B'' (G107.08+4.90) is spatially coincident with peak PAH abundance. If regions A and B are indeed sources of spinning dust emission, they are a resolved example of how AME-dust correlation varies with environment.
ER  -