AKARI and IRAS: From Beam Corrections to SEDs
David L. Clements, Michael Rowan-Robinson, Chris Pearson, Jose Afonso,, Vianney Labouteiller, Duncan Farrah, Andreas Efstathiou, Josh Greenslade, and, Lingyu Wang

TL;DR
This paper investigates beam correction issues in AKARI and IRAS data, develops correction methods, and assesses their impact on spectral energy distribution modeling of infrared galaxies, highlighting the importance of accurate flux calibration.
Contribution
It introduces a new beam correction scheme for AKARI data based on 2MASS correlations and evaluates its effectiveness across different galaxy samples.
Findings
Beam corrections are necessary at 65 and 90 microns for AKARI data.
Corrected fluxes improve the fit quality of SED models.
Simple correction schemes are inadequate for extended sources, indicating the need for more complex models.
Abstract
There is significant scientific value to be gained from combining AKARI fluxes with data at other far-IR wavelengths from the IRAS and Herschel missions. To be able to do this we must ensure that there are no systematic differences between the datasets that need to be corrected before the fluxes are compatible with each other. One such systematic effect identified in the BSCv1 data is the issue of beam corrections. We determine these for the BSCv2 data by correlating ratios of appropriate IRAS and AKARI bands with the difference in 2MASS J band extended and point source magnitudes for sources cross matched between the IRAS FSC, AKARI BSCv2 and 2MASS catalogs. We find significant correlations (p<< 10^-13) indicating that beam corrections are necessary in the 65 and 90 micron bands. We then use these corrected fluxes to supplement existing data in spectral energy distribution (SED) fits…
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.
