M33 Cepheids from CFHT/MegaCAM survey

TL;DR

This study analyzes archival imaging data of M33 to identify Cepheid variables, classify them, and estimate the galaxy's distance using multiple filters, resulting in the largest known Cepheid sample for M33.

Contribution

It presents the largest sample of Cepheids in M33 and provides distance estimates across multiple filters, improving the understanding of M33's distance and Cepheid population.

Findings

Identified 1622 Cepheids in M33, the largest sample to date.

Estimated galaxy distance moduli consistent with previous studies.

Demonstrated effective classification of Cepheids using color-magnitude criteria.

Abstract

In this paper we analyze Sloan g,r,i archival imaging data of M33 taken by Hartman et al. (2006) using Megacam at the Canada-France-Hawaii Telescope. To determine the distance to the M33 galaxy, we performed several analytical steps to identify its Cepheid population. We used the Lomb-Scargle algorithm to find periodicity and visually identified 1989 periodic variable stars. Since Cepheids occupy a specific region of the color-magnitude diagram, to differentiate Cepheids from other variables we used the expected position of the Cepheid instability strip to down-select Cepheids in M33 from other variables. This led to our sample of 1622 variables, the largest Cepheid sample known in M33 to date. We further classified these Cepheids into different subclasses, and used the fundamental mode Cepheids to estimate distance moduli for M33 in different filters: {\mu}= 25.044+/-0.083 mag in the g filter, {\mu}= 24.886+/-0.074 mag in the r filter, and {\mu}= 24.785+/-0.068 mag for the i filter. These results are in agreement with previous results.