Hi-GAL, the Herschel infrared Galactic Plane Survey: photometric maps and compact source catalogues. First data release for Inner Milky Way: +68{\deg}> l > -70{\deg}
S. Molinari, E. Schisano, D. Elia, M. Pestalozzi, A. Traficante, S., Pezzuto, B. M. Swinyard, A. Noriega-Crespo, J. Bally, T. J. T. Moore, R., Plume, A. Zavagno, A. M. di Giorgio, S. J. Liu, G. L. Pilbratt, J. C., Mottram, D. Russeil, L. Piazzo, M. Veneziani, M. Benedettini

TL;DR
The paper presents the first public data release of the Hi-GAL survey, providing high-quality photometric maps and compact source catalogues of the inner Milky Way in five infrared bands, enabling detailed studies of cold dust and star formation.
Contribution
This work delivers the initial high-quality data products and source catalogues from the Hi-GAL survey, including optimized detection algorithms and calibration methods for Galactic Plane infrared observations.
Findings
Catalogues contain over 1.1 million sources across five bands.
Flux completeness limits are established for each line of sight.
Images are calibrated with Planck and IRAS, capturing extended emission.
Abstract
(Abridged) We present the first public release of high-quality data products (DR1) from Hi-GAL, the {\em Herschel} infrared Galactic Plane Survey. Hi-GAL is the keystone of a suite of continuum Galactic Plane surveys from the near-IR to the radio, and covers five wavebands at 70, 160, 250, 350 and 500 micron, encompassing the peak of the spectral energy distribution of cold dust for 8 < T < 50K. This first Hi-GAL data release covers the inner Milky Way in the longitude range 68{\deg} > l > -70{\deg} in a |b|<1{\deg} latitude strip. Photometric maps have been produced with the ROMAGAL pipeline, that optimally capitalizes on the excellent sensitivity and stability of the bolometer arrays of the {\em Herschel} PACS and SPIRE photometric cameras, to deliver images of exquisite quality and dynamical range, absolutely calibrated with {\em Planck} and {\em IRAS}, and recovering extended…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
