TL;DR
GPCAL is an automated, generalized pipeline for instrumental polarization calibration in VLBI data, improving accuracy by fitting complex models and utilizing detailed calibrator polarization data across multiple frequencies.
Contribution
It introduces a novel calibration pipeline that models second-order instrumental polarization terms and uses advanced calibrator polarization models, surpassing traditional assumptions.
Findings
Successfully calibrates VLBI data across multiple arrays and frequencies.
Reproduces complex polarization structures consistent with previous studies.
Reveals detailed polarization in AGN jets, including 3C 273.
Abstract
We present the Generalized Polarization CALibration pipeline (GPCAL), an automated pipeline for instrumental polarization calibration of very long baseline interferometry (VLBI) data. The pipeline is designed to achieve a high calibration accuracy by means of fitting the instrumental polarization model, including the second-order terms, to multiple calibrators data simultaneously. It also allows using more accurate linear polarization models of calibrators for D-term estimation compared to the conventional way that assumes similar linear polarization and total intensity structures. This assumption has widely been used in the existing packages for instrumental polarization calibration but could be a source of significant uncertainties when there is no suitable calibrator satisfying the assumption. We demonstrate the capabilities of GPCAL by using simulated data, archival Very Long…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
