Discovery of RR Lyrae in the Ultra-Faint Dwarf Galaxy Virgo III
Abstract
Virgo III is a newly discovered ultra-faint dwarf (UFD) candidate, and finding RR Lyrae associated with this galaxy is important to constrain its distance. In this work, we present a search of RR Lyrae in the vicinity of Virgo III based on the time-series -band images taken from the Lulin One-meter Telescope (LOT). We have identified three RR Lyrae from our LOT data, including two fundamental mode (ab-type) and a first-overtone (c-type) RR Lyrae. Assuming these three RR Lyrae are members of Virgo III, we derived the distance to this UFD as kpc, fully consistent with the independent measurements given in the literature. We have also revisited the relation between absolute -band magnitude () and the number of RR Lyrae (of all types, ) found in local galaxies, demonstrating that the - relation is better described with the specific RR Lyrae frequency.
1 Introduction
Finding RR Lyrae in dwarf galaxies, especially the ultra-faint dwarfs (UFD; for a recent review, see Simon, 2019), is particularly interesting (Sesar et al., 2014; Baker & Willman, 2015). This is because RR Lyrae are well-known standard candles, therefore distances measured from RR Lyrae can be used to constrain the properties of their host UFD. Recently, Homma et al. (2023) reported the discovery of Virgo III as a candidate UFD. Based on the empirical relation derived in Martínez-Vázquez et al. (2019), and using the integrated -band absolute magnitude () given in Homma et al. (2023, with mag), the “expected” number of RR Lyrae () in Virgo III is . Boötes II and Willman 1 have mag and mag, respectively, bracketing Virgo III. Yet Boötes II has one RR Lyrae and Willman 1 has none (Tau et al., 2024). Therefore, Virgo III could have (at least) one RR Lyrae or none, and it is useful to search and identify these variables in Virgo III.
In this work, we present our search for potential RR Lyrae in the vicinity of Virgo III using the Lulin One-meter Telescope (LOT), located at the central Taiwan. We first describe our time-series observations carried out at LOT, as well as the image reduction and photometric calibration, in Section 2. We then create a set of simulated light-curves to evaluate the feasibility of detecting RR Lyrae based on the characteristics of our LOT observations, and search for potential RR Lyrae using the calibrated light curves in Section 3 and 4, respectively. In Section 5 we present our detected RR Lyrae, and revisit the - relation in Section 6. We concluded our work in Section 7.
2 LOT Observations, Reduction, and Calibration
Date | MJD | aaTime-difference, in days, between a given image and the first image. | FWHMbbAveraged full-width at half-maximum (FWHM) of the point sources in the image in unit of arc-second. | DepthccThe limiting magnitude was adopted to represent the depth of each image. |
---|---|---|---|---|
2023-12-24 | 60302.796701 | 0.000 | 2.96 | 21.9 |
2023-12-25 | 60303.839954 | 1.043 | 2.97 | 22.0 |
2024-01-10 | 60319.845984 | 17.049 | 1.98 | 23.2 |
60319.860313 | 17.064 | 2.17 | 23.1 | |
60319.874363 | 17.078 | 2.43 | 23.0 | |
2024-01-11 | 60320.735174 | 17.939 | 2.17 | 22.8 |
60320.749248 | 17.953 | 2.32 | 22.8 | |
60320.763287 | 17.967 | 2.17 | 22.9 | |
2024-01-13 | 60322.871262 | 20.075 | 1.49 | 23.4 |
60322.885324 | 20.089 | 1.51 | 23.3 | |
2024-01-14 | 60323.847639 | 21.051 | 1.76 | 23.3 |
60323.861701 | 21.065 | 1.82 | 23.3 | |
60323.875741 | 21.079 | 1.89 | 23.3 | |
60323.890775 | 21.094 | 1.91 | 23.2 | |
2024-01-15 | 60324.849537 | 22.053 | 2.36 | 23.0 |
60324.863588 | 22.067 | 2.25 | 23.1 | |
60324.877639 | 22.081 | 2.05 | 23.2 | |
60324.891678 | 22.095 | 2.00 | 23.1 | |
2024-03-08 | 60377.669803 | 74.873 | 1.85 | 23.1 |
60377.869294 | 75.073 | 2.80 | 21.9 | |
60377.883345 | 75.087 | 2.77 | 21.5 |
LOT is a Cassegrain reflector, and it was equipped with the Andor iKon-L 936 CCD imager during our queued observations. As a result, the LOT images have a pixel scale of pixel-1 and a field-of-view (FOV) of . Note that the half-light radius for Virgo III is (Homma et al., 2023), therefore the FOV of LOT can cover the entire galaxy. Given the expected faintness of the RR Lyrae ( mag), we only observed Virgo III using the -band filter commercially available from Astrodon, with exposure time of 1200 s (except the first two nights in 2023, when the exposure time was set to 900 s). Log of our time-series observations is given in Table 1.
All of the collected images were bias-subtracted and dark-subtracted using the master-bias and master-dark frames acquired from the same night, followed by flatfielding using either dome flat or twilight flat images. Astrometric calibration on the reduced images were done using the SCAMP (Bertin, 2006) software. For photometric calibration, we selected reference stars from the Pan-STARRS1 (PS1) photometric catalog (Chambers et al., 2016; Flewelling et al., 2020). Criteria for selecting the PS1 reference stars (whenever applicable) were same as in Ngeow (2022) and Ngeow & Bhardwaj (2024), and hence will not be repeated here. The -band magnitudes and colors of the PS1 reference stars, and respectively, were then used to iteratively fit the regression in the following form:
(1) |
The instrumental magnitudes of the reference stars, on each images, were based on the point-spread-function (PSF) photometry measured from using the Source-Extractor (Bertin & Arnouts, 1996) and PSFEx (Bertin, 2011) package. After solving equation (1), the detected sources in each images were calibrated to the PS1 AB magnitude system. We then fitted a low-order polynomial to the calibrated vs. plot, and estimated the limiting magnitude from the fitted polynomial (these fitted polynomials would be used in the light-curve simulations as described in the next Section). They are listed in the last column of Table 1, and most of the images can reach to a nominal depth of mag. We have also estimated the expected photometric error at mag, which has a median of mag.
3 Light Curves Simulations
Given the small number of epochs () collected from LOT, and our targeted RR Lyrae are faint and close to the detection limit, we ran light-curve simulations to evaluate the feasibility of detecting RR Lyrae using our LOT data.
3.1 Constant Stars
We first simulated light-curve for 1000 constant stars based on the epochs as listed in the third column of Table 1 (). The -band magnitudes were uniformly drawn from interval between 20.5 mag and 23.0 mag. Since we expect the RR Lyrae will have mag, we set the upper limit to be 1 mag brighter than this. The lower limit of 23.0 mag was set by the nominal depth of our LOT images, as we won’t be able to detect any stars fainter than this limit. For each drawn magnitudes at a given epoch, we added a Gaussian uncertainty based on the fitted low-order polynomial mentioned in Section 2, to the simulated magnitudes. We discarded the simulated magnitudes if such magnitudes were fainter than the depth at a given epoch as listed in the last column of Table 1. Therefore, some simulated light-curves would have less data-points than others.
We calculated the following two quantities on the simulated light-curves with more than 10 data-points:111Only less than 1% of the light-curves did not fulfill this condition. and , where and are the weighted means and medians for , respectively. The product of these two quantities appeared to be a good metric to identify (large-amplitude) RR Lyrae against constant stars (Ngeow et al., 2020). The gray points in the left panel of Figure 1 show the distribution of as a function of magnitudes for the simulated constant stars. As expected, become larger at fainter magnitudes due to the increasing of photometric uncertainties. Nevertheless, values of did not exceed 0.3 for the simulated constant stars.
3.2 RR Lyrae
Light-curve simulations for RR Lyrae are similar to the constant stars, except an additional step of adopting the -band template light-curves () available from Sesar et al. (2010). In brief, light-curve for a RR Lyrae was constructed using the following expression:
(2) |
where , , and are the -band light-curve amplitude, epoch at the maximum light, and pulsation period, respectively. For each RR Lyrae, we generated a uniformly distributed random number for , , , and . The range for is same as in the cases of constant stars (20.5 mag to 23.0 mag), while for we set its range to be and (days). Finally, a Gaussian uncertainty, based on the polynomial fits for each of the epochal photometry, was added to in equation (2). Same as in the cases of constant stars, we discarded if it is fainter than the depth on each epoch.

RR Lyrae can pulsates either in fundamental or first-overtone mode, known as ab-type and c-type, respectively.222The third type of RR Lyrae is called d-type, pulsating simultaneously in fundamental and first-overtone mode. However, they are very rare and hence not considered in this work. Both types of RR Lyrae follow a different distribution of and . The adopted ranges for (in days) are and , while for the -band amplitudes, the adopted ranges are and (Ngeow et al., 2022). For template light-curves, 20 and 2 -band templates were available from Sesar et al. (2010) for the ab- and c-type, respectively. They were randomly selected when constructing the simulated light-curves via equation (2).
We simulated light-curves for 200 ab-type and 100 c-type RR Lyrae. Values of for those light-curves with more than 10 data-points were over-plotted in the left panel of Figure 1 alongside with the constant stars. As can be seen from this plot, the (large amplitude) RR Lyrae and constant stars can be well separated using , except for some low-amplitude RR Lyrae toward the faint end (due to larger photometric errors that are comparable to the light-curve amplitudes). The red line shown in the inset figure is a good compromise to separate the RR Lyrae and constant stars, and there were 90% and 84% of the simulated ab-type and c-type RR Lyrae, respectively, located above the red line. Hence, the overall completeness of our LOT observations is .
Our simulated RR Lyrae light-curves can also be used to evaluate the period recovery rate. We employed a combination of Lomb-Scargle based and template light-curve period search methods, both implemented in the gatspy (VanderPlas & Ivezić, 2015) package, to search for the periods on our simulated light-curves. We emphasized that these period-search approaches are same as in the search of RR Lyrae in Virgo III using the real LOT data. Figure 2 presents the result on the period-search, which shows the recovery of 66.1% of the input periods (indicated as dashed lines in Figure 2). Other periods tend to lie along the tracks for different aliasing periods.
4 Searching for RR Lyrae
MJD | V1 | V2 | V3 |
---|---|---|---|
60324.863588 | |||
60319.845984 | |||
60377.883345 | |||
60320.735174 | |||
60377.869294 | |||
60324.849537 | |||
60324.891678 | |||
60303.839954 | |||
60322.871262 | |||
60302.796701 | |||
60320.763287 | |||
60377.669803 | |||
60324.877639 | |||
60319.874363 | |||
60323.847639 | |||
60323.861701 | |||
60320.749248 | |||
60323.875741 | |||
60323.890775 | |||
60319.860313 | |||
60322.885324 |
Since majority of our LOT images can reach to a depth similar to, or slightly deeper than, the Sloan Digital Sky Survey (SDSS) Data Release 16 (DR16) catalog (Ahumada et al., 2020, at mag)333https://live-sdss4org-dr16.pantheonsite.io/imaging/other_info/, and sources in SDSS DR16 have been classified into either stars or galaxies, we adopted SDSS DR16 catalog as our master catalog. There are 226 stellar sources in SDSS D16 located within the footprint of our LOT images, these stellar sources were used to construct a master stars list. We then cross-matched the detected and calibrated sources in each LOT images with this master stars list to create light curves for all of the 226 stellar sources.
We searched for potential RR Lyrae among 194 light curves that have more than 10 data-points. Values of for them as a function of mean magnitudes are shown in the right panel of Figure 1. We visually inspected the light curves and ran a preliminary Lomb-Scargle periodogram analysis for stars above the red line drawn in the right panel of Figure 1. We identified three RR Lyrae because their periods, amplitudes and folded light-curves resembling a typical RR Lyrae. Two of them, V1 (SDSS objID = 1237654879650775304) and V2 (SDSS objID = 1237654879650841005), are ab-type RR Lyrae, and V3 (SDSS objID = 1237654879650775856) is a c-type RR Lyrae. LOT -band light-curves for them are presented in Table 2.


Figure 3 shows the location of the three detected RR Lyrae with respect to Virgo III. The foreground reddening returned from the Bayerstar2019 3D reddening map (Green et al., 2019)444http://argonaut.skymaps.info/, using the dustmaps (Green, 2018)555https://dustmaps.readthedocs.io/en/latest/ package, toward Virgo III is mag. This translates to an -band extinction of mag.
5 Properties of the Detected RR Lyrae
To improve the period determination on the detected RR Lyrae, we added single-epoch SDSS DR16 -band PSF photometry (see Table 3) to the LOT light curves, after converting the SDSS photometry to the PS1 photometric system using the transformation provided in Tonry et al. (2012). We further employed the template light-curve based period search algorithm, available in the gatspy package (VanderPlas & Ivezić, 2015), for periods refinements. The improved and final adopted periods for the three RR Lyrae are listed in Table 3. Figure 4 and 5 present the folded light-curves for the ab-type and c-type RR Lyrae, respectively. The dashed curves in these two figures are the best-fitted template light-curves found by gatspy, and subsequently used to determine the -band amplitudes and intensity mean magnitudes . The determined values are listed in Table 3. Figure 6 compares the -band amplitudes and the extinction-corrected absolute -band magnitude (, by adopting the distance modulus, , given in Homma et al., 2023) for the three detected RR Lyrae with the counterparts in the globular clusters (Ngeow et al., 2022). All of the three RR Lyrae are located within the distributions of known RR Lyrae, strongly supporting their identification and membership to Virgo III.

V1 | V2 | V3 | |
---|---|---|---|
From SDSS DR16 | |||
186.34445301 | 186.40158543 | 186.36018615 | |
+04.42413144 | +04.43515192 | +04.42253358 | |
(days) | 51987.3194 | 51987.3198 | 51987.3194 |
(mag) | |||
From LOT light-curve | |||
Type | ab | ab | c |
(days) | 0.60737 | 0.67793 | 0.43435 |
(mag) | 0.574 | 0.568 | 0.267 |
(mag)aaErrors on , , were estimated using the empirical relation between and number of data-points on light-curves (Ngeow et al., 2022). | |||
(mag) |
Photometric metallicity, , for the two ab-type RR Lyrae can be estimated using the empirical relation derived in Sarajedini et al. (2006): , which is in the Zinn & West (1984, ZW84) scale. This empirical relation carries an RMS of dex. Based on RR Lyrae in the globular clusters, Sarajedini & Gokmen (2023) demonstrated that this empirical relation can reach to an accuracy of dex. After calculating for the two ab-type RR Lyrae, we converted the to the Dias et al. (2016, D16) scale666The conversion can be derived using the various scales summarized in Ngeow & Bhardwaj (2024), that is: . and obtained dex and dex. We adopted the average, dex (the error is based on the small number statistics, see Dean & Dixon, 1951; Keeping, 1962, p. 202), as the typical for the three RR Lyrae and Virgo III. Our value is consistent with the work of Homma et al. (2023), who adopted an isochrone filter at metallicity of dex to fit the Virgo III color-magnitude diagram (CMD). We did not use the -band relation between , , and Fourier parameter (Ngeow, 2022) to estimate their photometric metallicity because the low-order Fourier expansion failed to provide reasonable fit to the observed light-curves.

Using both of the fundamental mode and first-overtone mode -band period-luminosity-metallicity relations derived in Ngeow et al. (2022), where the metallicity is in the D16 scale, and the adopted , we calculated the distance moduli for these three RR Lyrae. The results are summarized in the last row of Table 3. By taking a weighted average and assuming all three RR Lyrae are genuine member of Virgo III, the distance modulus for Virgo III was found to be mag (statistical error only from small number statistics), or a linear distance of kpc. Our distance modulus is fully consistent with the values given in Homma et al. (2023), mag and mag, which were derived using isochrone fitting and the blue horizontal-branch (BHB) stars, respectively.
In Figure 7, we presented the extinction-corrected CMD for SDSS stars located within the ellipse of Virgo III (see Figure 3). Since the SDSS photometry was based on the single-epoch observations, we applied additional color corrections such that the SDSS photometry are close to the mean colors for these RR Lyrae. These approximate corrections were estimated based on the template light curves (Sesar et al., 2010) or a template color curve (Ngeow, 2022). Overplotted on the CMD are the evolutionary tracks for the horizontal branch (HB) models at three representative masses. These evolutionary tracks were taken from the BaSTI (a Bag of Stellar Tracks and Isochrones, Pietrinferni et al., 2021) stellar isochrones library. As can be seen from the CMD, the locations of three detected RR Lyrae are consistent with the HB evolutionary tracks corresponding to our adopted distance modulus to Virgo III, strengthening their identification as RR Lyrae and the membership to the galaxy.
6 The - Relation
Galaxy | ReferenceaaLeft and right entries of the slash are the reference or sources for and , respectively. (1) Martínez-Vázquez et al. (2019) and reference therein; (2) Monelli & Fiorentino (2022) and reference therein; (3) Tau et al. (2024); (4) Bechtol et al. (2015); (5) Boettcher et al. (2013); (6) Braga et al. (2022); (7) Carlin et al. (2017); (8) Cerny et al. (2021a); (9) Cerny et al. (2021b); (10) Cerny et al. (2023); (11) Drlica-Wagner et al. (2015); (12) Homma et al. (2023); (13) Longeard et al. (2018); (14) Mau et al. (2020); (15) McConnachie (2012); (16) Monelli et al. (2017); (17) Muñoz et al. (2018); (18) Muraveva et al. (2020); (19) Mutlu-Pakdil et al. (2018); (20) Sarajedini (2023); (21) Sarajedini (2024); (22) Simon et al. (2020); (23) Torrealba et al. (2019); (24) Vivas et al. (2022); (25) This work. | Galaxy | ReferenceaaLeft and right entries of the slash are the reference or sources for and , respectively. (1) Martínez-Vázquez et al. (2019) and reference therein; (2) Monelli & Fiorentino (2022) and reference therein; (3) Tau et al. (2024); (4) Bechtol et al. (2015); (5) Boettcher et al. (2013); (6) Braga et al. (2022); (7) Carlin et al. (2017); (8) Cerny et al. (2021a); (9) Cerny et al. (2021b); (10) Cerny et al. (2023); (11) Drlica-Wagner et al. (2015); (12) Homma et al. (2023); (13) Longeard et al. (2018); (14) Mau et al. (2020); (15) McConnachie (2012); (16) Monelli et al. (2017); (17) Muñoz et al. (2018); (18) Muraveva et al. (2020); (19) Mutlu-Pakdil et al. (2018); (20) Sarajedini (2023); (21) Sarajedini (2024); (22) Simon et al. (2020); (23) Torrealba et al. (2019); (24) Vivas et al. (2022); (25) This work. | ||||
---|---|---|---|---|---|---|---|
Triangulum | 99 | (15)/(2) | Andromeda XIII | 9 | (1)/(1) | ||
LMC | 39082 | (1)/(1) | Andromeda XI | 15 | (1)/(1) | ||
SMC | 6369 | (1)/(1) | Boötes I | 27 | (1)/(3)bbRR Lyrae found in these two galaxies could include members from the Sagittarius stream or belong to the (random) halo stars, and the actual number of RR Lyrae could be lower. See Tau et al. (2024) for more discussion. | ||
NGC 205 | 30 | (15)/(2) | Boötes III | 32 | (1)/(3)bbRR Lyrae found in these two galaxies could include members from the Sagittarius stream or belong to the (random) halo stars, and the actual number of RR Lyrae could be lower. See Tau et al. (2024) for more discussion. | ||
M32 | 509 | (15)/(2) | Hercules | 12 | (1)/(1) | ||
IC 1613 | 90 | (1)/(1) | Sagittarius 2 | 5 | (1)/(1) | ||
NGC 6822 | 26 | (1)/(1) | Centaurus 1 | 3 | (14)/(2) | ||
NGC 185 | 818 | (1)/(16) | Canes Venatici II | 2 | (1)/(1) | ||
NGC 147 | 177 | (1)/(1) | Ursa Major I | 8 | (1)/(3) | ||
WLM | 90 | (15)/(20) | Leo IV | 3 | (1)/(1) | ||
Fornax | 2068 | (1)/(6) | Hydrus I | 5 | (1)/(3) | ||
Sagittarius dSph | 2045 | (1)/(1) | Eridanus IV | 0 | (9)/(3) | ||
Andromeda VII | 573 | (1)/(1) | Hydra II | 1 | (1)/(1) | ||
UGC4879 | 678 | (15)/(2) | Carina II | 3 | (1)/(3) | ||
Leo A | 10 | (1)/(1) | Leo V | 3 | (1)/(1) | ||
Leo I | 164 | (1)/(1) | Coma Berenices | 3 | (1)/(3) | ||
Andromeda II | 251 | (1)/(1) | Pegasus IV | 3 | (10)/(3) | ||
ESO410-G005 | 269 | (1)/(2) | Aquarius II | 0 | (1)/(3) | ||
Andromeda VI | 111 | (1)/(1) | Ursa Major II | 6 | (1)/(3) | ||
Cetus | 630 | (1)/(1) | Pisces II | 1 | (17)/(2) | ||
Andromeda I | 296 | (1)/(1) | Pegasus III | 1 | (12)/(2) | ||
ESO294-G010 | 232 | (1)/(1) | Tucana II | 4 | (4)/(3) | ||
Sculptor | 536 | (1)/(1) | Grus II | 2 | (1)/(3)ccTau et al. (2024) detected six RR Lyrae, but four of them are brighter and associated with the Chenab/Orphan stream. Hence, there is only two RR Lyrae associated with Grus II. | ||
Aquarius | 32 | (1)/(1) | Reticulum II | 0 | (17)/(3) | ||
KKR 25 | 46 | (15)/(2) | Grus I | 2 | (1)/(1) | ||
Pisces I | 56 | (15)/(21) | Cetus III | 1 | (12)/(3) | ||
Phoenix | 121 | (1)/(1) | Horologium I | 0 | (17)/(3) | ||
Leo II | 140 | (1)/(1) | Phoenix II | 1 | (1)/(3) | ||
Tucana | 358 | (1)/(1) | Kim 2/Indus I | 0 | (1)/(1) | ||
Andromeda III | 111 | (1)/(1) | Reticulum III | 0 | (11)/(3) | ||
Carina | 92 | (1)/(2) | Tucana IV | 0 | (22)/(3)ddAs argued in Tau et al. (2024), the 2 and 3 detected RR Lyrae for Delve 2 and Tucana IV, respectively, are probably belong to SMC. Therefore we assigned for both galaxies. | ||
Andromeda XXI | 41 | (1)/(1) | Boötes II | 1 | (1)/(3) | ||
Leo P | 10 | (1)/(1) | Virgo III | 3 | (12)/(25) | ||
Antlia 2 | 318 | (23)/(24) | Willman 1 | 0 | (1)/(3) | ||
Ursa Minor | 82 | (1)/(1) | Carina III | 0 | (1)/(3) | ||
Andromeda XXV | 56 | (1)/(1) | Eridanus III | 0 | (17)/(3) | ||
Andromeda XIX | 31 | (1)/(1) | Delve 2 | 0 | (8)/(3)ddAs argued in Tau et al. (2024), the 2 and 3 detected RR Lyrae for Delve 2 and Tucana IV, respectively, are probably belong to SMC. Therefore we assigned for both galaxies. | ||
CanesVenatici I | 23 | (1)/(1) | Segue 2 | 1 | (1)/(3) | ||
Draco | 336 | (1)/(18) | Horologium II | 0 | (17)/(3) | ||
Sextans | 227 | (1)/(1) | Tucana III | 6 | (19)/(3) | ||
Andromeda XXVIII | 85 | (1)/(1) | Segue 1 | 1 | (1)/(3) | ||
Crater II | 99 | (1)/(1) | Triangulum II | 0 | (7)/(3) | ||
Andromeda XV | 117 | (1)/(1) | Tucana V | 0 | (22)/(3) | ||
Andromeda XXVII | 89 | (1)/(1) | Segue 3 | 0 | (17)/(5) | ||
Leo T | 5 | (1)/(2) | Virgo I | 0 | (12)/(3) | ||
Andromeda XVI | 8 | (1)/(1) | Draco II | 0 | (13)/(3) | ||
Eridanus 2 | 67 | (17)/(2) | Cetus II | 0 | (11)/(3) |
In this Section, we revisited the - (of all types) relation presented in Martínez-Vázquez et al. (2019). We began with 63 galaxies listed in the appendix of Martínez-Vázquez et al. (2019), and added new local galaxies from Monelli & Fiorentino (2022) and Tau et al. (2024), supplemented with several additional galaxies (such as Virgo III from this work) not included in these compilations. We have also updated the number of RR Lyrae in a few dwarf galaxies based on the latest publications (in particular, for Fornax and Draco). The updated list of local galaxies, with their and , is provided in Table 4, alongside with the references for and . In total, there are 57867 RR Lyrae found in 94 galaxies, but of them come from the Magellanic Clouds.

Figure 8 presents the - relation for the galaxies listed in Table 4. The (green) solid line is the empirical relation derived in Martínez-Vázquez et al. (2019), which describes the trend of the data well, therefore we did not re-derive the relation. Instead, the relation shows a large scatter. Therefore, we over-plotted the inverted specific RR Lyrae frequency (, Suntzeff et al., 1991; Mackey & Gilmore, 2003) as:
(3) |
which is normalized to mag. Figure 8 shows the curves of equation (3) for several representative , and most of the galaxies are confined between the curves for and . Furthermore, the local galaxies seems to follow various tracks at given (for examples, LMC, SMC, and NGC 185 are located at the track, and some of the mag galaxies are located along the track). Clearly, there is no single value of to fit the majority of the galaxies (also, see Baker & Willman, 2015).
Tucana III is the only faint UFD with . However, all of the six detected RR Lyrae are extra-tidal stars of Tucana III (Vivas et al., 2020). Furthermore, Tau et al. (2024) only recovered one of them. It is possible that Tucana III might only have one extra-tidal RR Lyrae, which reduced its to . On the other hand, there are several galaxies below the curve of , implying the detection of RR Lyrae on these galaxies are not yet completed. This is especially true for Triangulum, as the known RR Lyrae in this galaxy were detected based on the several narrow “pencil-beam” fields around Triangulum (Tanakul et al., 2017).
7 Conclusion
In this work, we searched for RR Lyrae in Virgo III using the time-series LOT observations. We have also ran light-curve simulations by taking the characteristics of LOT observations (such as photometric errors and depths on each images) into account, and demonstrated that RR Lyrae can be detected using the LOT data and our searching method (i.e. the metric). We identified two ab-type and one c-type RR Lyrae with periods and amplitudes consistent with the known RR Lyrae in the globular clusters. Given that they are located within the ellipse of Virgo III, and have similar distance modulus as Virgo III, we assume they are true members of Virgo III. Based on the three detected RR Lyrae in Virgo III, together with the latest findings in the literature, we have also revisited the - relation for local galaxies, showing their relations are better described using the specific RR Lyrae frequency.
It is worth to point out that both Virgo III and the three RR Lyrae are fainter than the detection limit of Gaia, hence there is no proper-motion information to verify the status of their membership. Confirmation of their membership has to wait for the future radial-velocity measurements. We have also estimated the metallicity of Virgo III to be dex based on the two ab-type RR Lyrae. Nevertheless, assuming the three detected RR Lyrae are members of Virgo III, the RR Lyrae-based distance modulus is fully consistent with the independent measurements given in Homma et al. (2023).
References
- Ahumada et al. (2020) Ahumada, R., Allende Prieto, C., Almeida, A., et al. 2020, ApJS, 249, 3
- Astropy Collaboration et al. (2013) Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33
- Astropy Collaboration et al. (2018) Astropy Collaboration, Price-Whelan, A. M., Sipőcz, B. M., et al. 2018, AJ, 156, 123
- Astropy Collaboration et al. (2022) Astropy Collaboration, Price-Whelan, A. M., Lim, P. L., et al. 2022, ApJ, 935, 167
- Baker & Willman (2015) Baker, M. & Willman, B. 2015, AJ, 150, 160
- Bechtol et al. (2015) Bechtol, K., Drlica-Wagner, A., Balbinot, E., et al. 2015, ApJ, 807, 50
- Bertin (2006) Bertin, E. 2006, in ASP Conf. Ser. 351, Astronomical Data Analysis Software and Systems XV, ed. C. Gabriel et al. (San Francisco, CA: ASP), 112
- Bertin (2011) Bertin, E. 2011, in ASP Conf. Ser. 442, Astronomical Data Analysis Software and Systems XX, ed. I. N. Evans et al. (San Francisco, CA: ASP), 435
- Bertin & Arnouts (1996) Bertin, E. & Arnouts, S. 1996, A&AS, 117, 393
- Bertin et al. (2002) Bertin, E., Mellier, Y., Radovich, M., et al. 2002, in ASP Conf. Ser. 281, Astronomical Data Analysis Software and Systems XI, ed. D. A. Bohlender, D. Durand, & T. H. Handley (San Francisco, CA: ASP), 228
- Boettcher et al. (2013) Boettcher, E., Willman, B., Fadely, R., et al. 2013, AJ, 146, 94
- Braga et al. (2022) Braga, V. F., Fiorentino, G., Bono, G., et al. 2022, MNRAS, 517, 5368
- Carlin et al. (2017) Carlin, J. L., Sand, D. J., Muñoz, R. R., et al. 2017, AJ, 154, 267
- Cerny et al. (2021a) Cerny, W., Pace, A. B., Drlica-Wagner, A., et al. 2021a, ApJ, 910, 18
- Cerny et al. (2021b) Cerny, W., Pace, A. B., Drlica-Wagner, A., et al. 2021b, ApJ, 920, L44
- Cerny et al. (2023) Cerny, W., Simon, J. D., Li, T. S., et al. 2023, ApJ, 942, 111
- Chambers et al. (2016) Chambers, K. C., Magnier, E. A., Metcalfe, N., et al. 2016, arXiv:1612.05560
- Dean & Dixon (1951) Dean, R. B. & Dixon, W. J. 1951, Anal. Chem., 23, 636
- Dias et al. (2016) Dias, B., Barbuy, B., Saviane, I., et al. 2016, A&A, 590, A9
- Drlica-Wagner et al. (2015) Drlica-Wagner, A., Bechtol, K., Rykoff, E. S., et al. 2015, ApJ, 813, 109
- Flewelling et al. (2020) Flewelling, H. A., Magnier, E. A., Chambers, K. C., et al. 2020, ApJS, 251, 7
- Green (2018) Green, G. M. 2018, The Journal of Open Source Software, 3, 695
- Green et al. (2019) Green, G. M., Schlafly, E., Zucker, C., et al. 2019, ApJ, 887, 93
- Harris et al. (2020) Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357
- Hunter (2007) Hunter, J. D. 2007, Computing in Science and Engineering, 9, 90
- Homma et al. (2023) Homma, D., Chiba, M., Komiyama, Y., et al. 2023, arXiv:2311.05439
- Keeping (1962) Keeping, E. S. 1962, Introduction to Statistical Inference (Princeton, NJ: Van Nostrand-Reinhold)
- Longeard et al. (2018) Longeard, N., Martin, N., Starkenburg, E., et al. 2018, MNRAS, 480, 2609
- Mackey & Gilmore (2003) Mackey, A. D. & Gilmore, G. F. 2003, MNRAS, 345, 747
- Martínez-Vázquez et al. (2019) Martínez-Vázquez, C. E., Vivas, A. K., Gurevich, M., et al. 2019, MNRAS, 490, 2183
- Mau et al. (2020) Mau, S., Cerny, W., Pace, A. B., et al. 2020, ApJ, 890, 136
- McConnachie (2012) McConnachie, A. W. 2012, AJ, 144, 4
- Monelli et al. (2017) Monelli, M., Fiorentino, G., Bernard, E. J., et al. 2017, ApJ, 842, 60
- Monelli & Fiorentino (2022) Monelli, M. & Fiorentino, G. 2022, Universe, 8, 191
- Muñoz et al. (2018) Muñoz, R. R., Côté, P., Santana, F. A., et al. 2018, ApJ, 860, 66
- Muraveva et al. (2020) Muraveva, T., Clementini, G., Garofalo, A., et al. 2020, MNRAS, 499, 4040
- Mutlu-Pakdil et al. (2018) Mutlu-Pakdil, B., Sand, D. J., Carlin, J. L., et al. 2018, ApJ, 863, 25
- Ngeow (2022) Ngeow, C.-C. 2022, AJ, 164, 45
- Ngeow et al. (2020) Ngeow, C.-C., Belecki, J., Burruss, R., et al. 2020, AJ, 160, 31
- Ngeow et al. (2022) Ngeow, C.-C., Bhardwaj, A., Dekany, R., et al. 2022, AJ, 163, 239
- Ngeow & Bhardwaj (2024) Ngeow, C.-C. & Bhardwaj, A. 2024, AJ, 167, 42
- Pietrinferni et al. (2021) Pietrinferni, A., Hidalgo, S., Cassisi, S., et al. 2021, ApJ, 908, 102
- Sarajedini (2023) Sarajedini, A. 2023, MNRAS, 521, 3847
- Sarajedini (2024) Sarajedini, A. 2024, MNRAS, 527, 11751
- Sarajedini et al. (2006) Sarajedini, A., Barker, M. K., Geisler, D., et al. 2006, AJ, 132, 1361
- Sarajedini & Gokmen (2023) Sarajedini, A. & Gokmen, S. 2023, MNRAS, 522, 1441
- Sesar et al. (2010) Sesar, B., Ivezić, Ž., Grammer, S. H., et al. 2010, ApJ, 708, 717
- Sesar et al. (2014) Sesar, B., Banholzer, S. R., Cohen, J. G., et al. 2014, ApJ, 793, 135
- Simon (2019) Simon, J. D. 2019, ARA&A, 57, 375
- Simon et al. (2020) Simon, J. D., Li, T. S., Erkal, D., et al. 2020, ApJ, 892, 137
- Suntzeff et al. (1991) Suntzeff, N. B., Kinman, T. D., & Kraft, R. P. 1991, ApJ, 367, 528
- Tanakul et al. (2017) Tanakul, N., Yang, S.-C., & Sarajedini, A. 2017, MNRAS, 468, 870
- Tau et al. (2024) Tau, E. A., Vivas, A. K., & Martínez-Vázquez, C. E. 2024, AJ, 167, 57
- Tonry et al. (2012) Tonry, J. L., Stubbs, C. W., Lykke, K. R., et al. 2012, ApJ, 750, 99
- Torrealba et al. (2019) Torrealba, G., Belokurov, V., Koposov, S. E., et al. 2019, MNRAS, 488, 2743
- VanderPlas & Ivezić (2015) VanderPlas, J. T., & Ivezić, Ž. 2015, ApJ, 812, 18
- Vivas et al. (2020) Vivas, A. K., Martínez-Vázquez, C., & Walker, A. R. 2020, ApJS, 247, 35
- Vivas et al. (2022) Vivas, A. K., Martínez-Vázquez, C. E., Walker, A. R., et al. 2022, ApJ, 926, 78
- Zinn & West (1984) Zinn, R. & West, M. J. 1984, ApJS, 55, 45