Large Magellanic Cloud Near-Infrared Synoptic Survey. I. Cepheid variables and the calibration of the Leavitt Law
Lucas M. Macri, Chow-Choong Ngeow, Shashi M. Kanbur, Salma Mahzooni, and Michael T. Smitka

TL;DR
This study provides a comprehensive near-infrared survey of the Large Magellanic Cloud, significantly expanding the sample of Cepheid variables to refine the calibration of the Leavitt Law and improve distance measurements.
Contribution
It presents the largest near-infrared Cepheid sample to date and offers a highly precise calibration of the Leavitt Law, enhancing the accuracy of cosmic distance measurements.
Findings
Expanded Cepheid sample by 9 times with multi-band near-infrared data
Derived a robust calibration of the Leavitt Law with improved slope constraints
Confirmed consistency of Tip of the Red Giant Branch and Red Clump calibrations with previous studies
Abstract
We present observational details and first results of a near-infrared (JHKs) synoptic survey of the central region of the Large Magellanic Cloud using the CPAPIR camera at the CTIO 1.5-m telescope. We covered 18 sq. deg. to a depth of Ks~16.5 mag and obtained an average of 16 epochs in each band at any given location. Our catalog contains more than 3.5x10^6 sources, including 1417 Cepheid variables previously studied at optical wavelengths by the OGLE survey. Our sample of fundamental-mode pulsators represents a 9-fold increase in the number of these variables with time-resolved, multi-band near-infrared photometry. We combine our large Cepheid sample and a recent precise determination of the distance to the LMC to derive a robust absolute calibration of the near-infrared Leavitt Law for fundamental-mode and first-overtone Cepheids with 10x better constraints on the slopes relative to…
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.
