M33 Cepheids from CFHT/MegaCam Survey

In this paper we analyze Sloan g, r, i archival imaging data of M33 taken by Hartman et al. 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 t...

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Main Authors: Samuel Adair, Chien-Hsiu Lee
Format: Article
Language:English
Published: IOP Publishing 2022-01-01
Series:The Astronomical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-3881/aca151
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author Samuel Adair
Chien-Hsiu Lee
author_facet Samuel Adair
Chien-Hsiu Lee
author_sort Samuel Adair
collection DOAJ
description In this paper we analyze Sloan g, r, i archival imaging data of M33 taken by Hartman et al. 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: μ = 25.044 ± 0.083 mag in the g filter, μ = 24.886 ± 0.074 mag in the r filter, and μ = 24.785 ± 0.068 mag for the i filter. These results are in agreement with previous results.
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spelling doaj.art-d73eb75bae7e4e9eb9c9b2618ad8dd122023-09-03T14:08:26ZengIOP PublishingThe Astronomical Journal1538-38812022-01-0116512810.3847/1538-3881/aca151M33 Cepheids from CFHT/MegaCam SurveySamuel Adair0Chien-Hsiu Lee1University of Hawaii at Hilo , Hilo, HI 96740, USAW. M. Keck Observatory , Kamuela, HI 96743, USAIn this paper we analyze Sloan g, r, i archival imaging data of M33 taken by Hartman et al. 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: μ = 25.044 ± 0.083 mag in the g filter, μ = 24.886 ± 0.074 mag in the r filter, and μ = 24.785 ± 0.068 mag for the i filter. These results are in agreement with previous results.https://doi.org/10.3847/1538-3881/aca151Triangulum GalaxyCepheid variable starsDistance indicators
spellingShingle Samuel Adair
Chien-Hsiu Lee
M33 Cepheids from CFHT/MegaCam Survey
The Astronomical Journal
Triangulum Galaxy
Cepheid variable stars
Distance indicators
title M33 Cepheids from CFHT/MegaCam Survey
title_full M33 Cepheids from CFHT/MegaCam Survey
title_fullStr M33 Cepheids from CFHT/MegaCam Survey
title_full_unstemmed M33 Cepheids from CFHT/MegaCam Survey
title_short M33 Cepheids from CFHT/MegaCam Survey
title_sort m33 cepheids from cfht megacam survey
topic Triangulum Galaxy
Cepheid variable stars
Distance indicators
url https://doi.org/10.3847/1538-3881/aca151
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AT chienhsiulee m33cepheidsfromcfhtmegacamsurvey