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Most Rotational Variables Dominated by a Single Bright Feature are α2\alpha^{2} CVn Stars

A. N. Heinze DiRAC Institute and the Department of Astronomy, University of Washington, 3910 15th Avenue NE, Seattle, WA 98195; [email protected] Heather Flewelling Canada-France-Hawaii Telescope, 65-1238 Mamalahoa Hwy, Kamuela, HI 96743 Mark E. Huber Institute for Astronomy, University of Hawaii, 2680 Woodlawn, Honolulu, HI, 96822, USA A. N. Heinze
Abstract

We previously reported a rare class of variable star light curves isolated from a sample of 4.7 million candidate variables from the ATLAS survey. Dubbed ‘UCBH’ light curves, they have broad minima and narrow, symmetrical maxima, with typical periods of 1-10 days and amplitudes of 0.05–0.20 mag. They maintain constant amplitude, shape, and phase coherence over multiple years, but do not match any known class of pulsating variables. A localized bright spot near the equator of a rotating star will produce a UCBH-type light curve for most viewing geometries. Most stars that exhibit rotational variability caused primarily by a single bright feature should therefore appear as UCBH stars, although a rotating bright spot is not the only thing that could produce a UCBH-type lightcurve. We have spectroscopically investigated fourteen UCBH stars and found ten of them to be Ap/Bp stars: A-type or B-type stars with greatly enhanced photospheric abundances of specific heavy elements. Rotationally variable Ap/Bp stars are referred to as α2\alpha^{2} CVn variables. Most ATLAS UCBH stars are therefore α2\alpha^{2} CVn stars, although only a minority of α2\alpha^{2} CVn stars in the literature have UCBH light curves. The fact that α2\alpha^{2} CVn stars dominate the UCBH class suggests that lone bright spots with sufficient size and contrast develop more readily on Ap/Bp stars than on any other type. The α2\alpha^{2} CVn UCBH stars may be characterized by a specific magnetic field topology, making them intriguing targets for future Zeeman-Doppler imaging.

1 Introduction

Though stellar photometry is typically not their primary mission, modern astronomical surveys such as the Catalina Sky Survey (Larson et al., 2003), the All-Sky Automated Survey for Supernovae (ASAS-SN, Shappee et al., 2014), Pan-STARRS1 (Chambers et al., 2016; Flewelling et al., 2016; Magnier et al., 2016a, b, c), ATLAS (Tonry et al., 2018a), the Zwicky Transient Facility (Graham et al., 2018), and others produce well-sampled photometric time series for millions of stars. These data sets are invaluable both for large-scale statistics of variables stars and for identifying rare, highly interesting objects. The huge sample sizes and the presence of photometry but not spectra for many of the objects enable an interesting new perspective on variable stars. Spectrum-blind analysis of millions of light curves can reveal new, physically meaningful commonalities that do not necessarily align with established classes of variable stars. Though the established classes are (of course) also physically meaningful, they were defined in a context of smaller sample sizes and more intensive spectroscopic investigation to which the current big-data context has meaningful things to add.

Herein, we analyze a rare class of variable stars, the ‘UCBH’ stars (Heinze et al., 2018), defined by a specific lightcurve shape and identified purely photometrically using data from the ATLAS survey. We introduce these stars in Section 1.1, and in Section 1.2 we introduce the established variable class (the α2\alpha^{2} CVn stars) to which most of them are found to belong. In Section 2 we show examples of UCBH light curves and demonstrate that the characteristic light curve shape will result from a single bright spot on a rotating star, over a wide range of sizes and viewing geometries. We present our spectroscopic results in Section 3, demonstrating that most of them are α2\alpha^{2} CVn stars (although only a minority of known α2\alpha^{2} CVn stars have UCBH-type lightcurves). In Section 5 we use Gaia parallaxes to place our UCBH stars on HR diagrams, demonstrating that most of them have luminosities and colors consistent with main-sequence Ap stars subject to interstellar reddening — with some interesting exceptions. We discuss astrophysical implications and offer our conclusions in Section 6.

Refer to captionRefer to caption

Figure 1: Example lightcurves for ATLAS UCBH stars. The left panel shows the c-band lightcurves, and the right panel shows the corresponding o-band lightcurves for the same objects. A random selection of stars has been attempted to avoid cherry-picking the cleanest examples.

1.1 ATLAS Variable Star DR1 and the UCBH stars

The Asteroid Terrestrial-impact Last Alert System (ATLAS; Tonry et al., 2018a) is a NASA-funded planetary defense survey that scans the sky for near-Earth asteroids while simultaneously producing well-calibrated data useful for many other astrophysical investigations. Each ATLAS image is photometrically calibrated using a customized, highly-precise catalog (Tonry et al., 2018b) created by mutually calibrating several state-of-the-art photometric catalogs.

In its first two years on the sky, ATLAS operated only one telescope (it now has four). This single ATLAS unit surveyed one fourth of the accessible sky every night, obtaining four 30-second exposures of each target field over a period of about one hour. Hence, during good weather in its observing season, a given star would be observed an average of once per night – but these observations occur in clumps of four in one hour, with a four-day gap before the next clump. Not all images yield flux measurements of every object in the field: for example, faint stars would not be detected in bad seeing. Nevertheless, in two years ATLAS obtained 100 or more photometric measurements for each of 142 million distinct stars, of which 4.7 million were identified as candidate variables. Photometric time series for these candidate variables, as well as classifications we obtained for them using machine learning, constitute ATLAS variable star Data Release One (DR1) and are publicly available through STScI (Heinze et al., 2018).

While preparing ATLAS DR1, we manually examined thousands of light curves of objects that had periods, amplitudes, or other characteristics not typical of the classes the machine had assigned them. We identified a rare but well-defined class of light curves, mostly identified as pulsators by the machine, that did not seem to match any known type of variable star. These objects had coherent, periodic light curves with a distinctive shape defined by narrow, symmetrical maxima and broad, flat minima (Figure 1). They looked like the light curves of contact eclipsing binaries turned upside down. Since we’d defined a light curve category called CBH (Contact eclipsing Binaries folded at Half the true period), we called this new set of stars the upside-down CBH variables, or UCBH stars. They have typical periods of 1–10 days and peak-to-trough amplitudes of 0.05–0.20 magnitudes. The amplitudes are usually similar between the ATLAS cc and oo bands111These broad, customized bandpasses are described in Tonry et al. (2018a); briefly, cc corresponds approximately to Sloan g+rg+r and oo to r+ir+i..

Herein, we present a catalog of 98 UCBH stars identified in ATLAS DR1 photometry. This catalog constitutes the entire set of ATLAS variables we have confidently assigned to the UCBH class. We carry the analysis of UCBH stars beyond pure photometry for the first time, presenting low-resolution spectra for 14 of them (chosen based on brightness and observability during our scheduled telescope time), intensive multi-band photometry for one, and HR diagrams based on Gaia parallaxes for all.

1.2 Overview of α2\alpha^{2} CVn Variables

Our spectra (Section 3) indicate that a majority of UCBH stars are α2\alpha^{2} CVn variables. An α2\alpha^{2} CVn variable is an Ap or Bp star that exhibits rotationally modulated variability (Peterson, 1970; Catalano & Leone, 1993). Ap and Bp stars are A-type or B-type stars with enormously enhanced photospheric abundances of specific heavy elements (silicon, chromium, strontium, europium, and others). The enhancement is believed to be produced by radiative levitation (Michaud, 1970). This levitation occurs because the elements in question interact more strongly with the radiation field than most other atoms — i.e., they have many strong spectral lines at wavelengths near the peak of the star’s spectral energy distribution (Hümmerich et al., 2018). Radiation pressure therefore exerts a stronger upward force (relative to their mass) on the atoms of these elements than on the majority constituents of the stellar atmosphere. This upward force is believed to concentrate the elements in the upper layers of the stars. The stellar atmospheres must be remarkably free from convection for the extremely weak force of radiative levitation to produce the observed concentrations of heavy elements. Michaud (1970) calculated that convective velocities must be slower than 10510^{-5} m/sec, and theorized that strong magnetic fields might be able to stabilize the ionized atmospheres of these stars against convective stirring.

That some Ap/Bp stars should exhibit rotational variability is not surprising: longitudinal inhomogeneity in the concentration of heavy elements would naturally cause rotational variation (Peterson, 1970). The shape, amplitude, and detectability of this variation depend on the details of the inhomogeneity (Shulyak et al., 2010), which in turn might arise from spatial variations in the magnetic field (Michaud et al., 1981).

Interestingly, Peterson (1970) found that a photospheric spot having an enhanced concentration of silicon will be brighter at optical wavelengths, because the strong silicon absorption lines in the UV will redistribute flux into the optical. We might expect that the heavy elements would be most concentrated at the regions of strongest magnetic field (where convection is most strongly suppressed and radiative levitation can have the greatest effect), and that the flux redistribution would render these regions the brightest at optical wavelengths. This would imply that the (optical) photometric maximum should coincide with points when the region of greatest magnetic field strength is centered on the hemisphere of the star that faces us. Accordingly, Dukes & Adelman (2018) found that the α2\alpha^{2} CVn star HD 215441 has its photometric maximum at about the same rotational phase as the maximum of the magnetic field measured by Zeeman splitting of the spectral lines. This might not, however, be a general rule: both theory (Michaud et al., 1981) and observation (Kochukhov & Wade, 2010; Kochukhov et al., 2015) indicate that different radiatively levitated elements can be affected differently by the magnetic field and hence have different photospheric distributions. Despite this complexity, there is broad observational evidence (e.g. Pyper, 1969) that optical photometric maxima do tend to occur near the same rotational phase where the greatest abundance of radiatively levitated elements is measured, consistent with the UV flux redistribution predicted by Peterson (1970).

Known α2\alpha^{2} CVn stars have amplitudes mostly smaller than is typical for the ATLAS UCBH stars, and some have longer periods, but the distributions of both period and amplitude overlap heavily. Sikora et al. (2019) have shown that the rotation periods of most of the magnetic, chemically peculiar A and B stars whose variability enables their periods to be measured fall within the same 1–10 day range that characterizes UCBH stars, with the few exceptions mostly having longer periods.

The light curves of known α2\alpha^{2} CVn stars have a variety of shapes, including some that exactly match our UCBH stars and many that do not. Hensberge et al. (1977) present uvbyuvby photometry of six α2\alpha^{2} CVn stars with periods from 1.48 to 4.75 days, of which only one (HD 207188) shows a UCBH-type lightcurve. Ryabchikova et al. (1990) find the α2\alpha^{2} CVn star HD 192913 to have a period of 16.5 days and an amplitude of 0.04 magnitudes, with a saw-tooth rather than UCBH-type light curve. Catalano & Leone (1993) present multi-band (uvbyuvby) light curves of eight bright α2\alpha^{2} CVn stars with periods ranging from 1.3 to 6.8 days and amplitudes from 0.03–0.10 mag. Two of them (HD 54118 and HD 73340) exhibit UCBH-type light curves in at least one of the four photometric bands, while the others have various different shapes. Poretti et al. (1997) also probe α2\alpha^{2} CVn stars with uvbyuvby photometry: HR 2746 (period 0.92 days; amplitude 0.004–0.024 mag depending on photometric band) and HR 2761 (period 2.06 days; amplitudes 0.015–0.057 mag). They find a UCBH-type lightcurve for HR 2746 and sinusoidal variations for HR 2761. Drury et al. (2017) present Kepler and ground-based photometry of the α2\alpha^{2} CVn star KIC 2569073, finding a period of 14.67 days, approximately sinusoidal variations, and peak-to-trough amplitudes varying from 0.03 to 0.34 magnitudes, with a phase reversal seen in the BB-band relative to the VV, RCR_{\mathrm{C}}, and ICI_{\mathrm{C}} bands. Dukes & Adelman (2018) acquired precise uvbyuvby lightcurves of eight α2\alpha^{2} CVn stars. One of these, HD 26792, shows a perfect UCBH-type light curve in all filters, while HD 5797 shows a noisy but UCBH-like light curve in the yy filter only. Among the other six stars, none shows a UCBH-type light curve shape in any filter. Most recently, Bernhard et al. (2020) analyzed and published light curves for 294 magnetic chemically peculiar stars (i.e., Ap/Bp stars) using data from three recent surveys that used very small apertures and hence maintained photometric precision for very bright stars. We find that 33 of the Bernhard et al. (2020) light curves are of the UCBH type (more on this in Section 4). Finally, after this work was accepted for publication, we learned of another paper (Bernhard et al., 2021) demonstrating that many of the ATLAS UCBH stars are α2\alpha^{2} CVn variables. While this same result is also an important conclusion of the current work, our very different emphasis makes our work and that of Bernhard et al. (2021) substantially complementary.

2 The Characteristic Light Curves of UCBH Stars

In Tables 1 and 2 we present the full set of UCBH stars we have identified in ATLAS data, divided into those that are (Table 1) and are not (Table 2) probable α2\alpha^{2} CVn stars, based on color and luminosity thresholds discussed in Section 5.

\startlongtable
Table 1: ATLAS UCBH stars likely to be α2\alpha^{2} CVn stars
ATLAS IDaaThese IDs encode the star’s approximate RA and Dec in decimal degrees, and allow lookup in the ATLAS DR1 database (see Heinze et al. (2018)) Period (d) coc-obbThe ATLAS cc (cyan) and oo (orange) photometric bands are defined in Tonry et al. (2018a) amplitudeccPeak-to-trough amplitude based on Fourier fitting of the ATLAS data. Values provided are the average of cc and oo band amplitudes, but typically they were very similar. g r g-z parallaxddParallaxes are from Gaia EDR3 (Gaia Collaboration et al., 2021). (mas) MVM_{V}eeThe gg, rr, zz, and KK magnitudes are from Tonry et al. (2018b) and represent a homogeneous recalibration of magnitudes drawn from Gaia DR2, Pan-STARRS, 2MASS, and other sources. MVM_{V} and MKM_{K} are derived from these magnitudes and the Gaia parallaxes. MKM_{K}eeThe gg, rr, zz, and KK magnitudes are from Tonry et al. (2018b) and represent a homogeneous recalibration of magnitudes drawn from Gaia DR2, Pan-STARRS, 2MASS, and other sources. MVM_{V} and MKM_{K} are derived from these magnitudes and the Gaia parallaxes.
J010.7230+57.8087 4.435267 -0.004 0.208 12.962 12.831 -0.03 0.544±0.0140.544\pm 0.014 1.560.05+0.051.56_{-0.05}^{+0.05} 1.010.05+0.051.01_{-0.05}^{+0.05}
J042.3381+51.3632 2.762592 0.069 0.172 13.762 13.581 0.08 0.389±0.0180.389\pm 0.018 1.600.11+0.101.60_{-0.11}^{+0.10} 0.880.11+0.100.88_{-0.11}^{+0.10}
J053.4996+56.7983 3.709273 0.372 0.176 12.516 12.113 0.74 0.726±0.1410.726\pm 0.141 1.580.47+0.391.58_{-0.47}^{+0.39} 0.090.47+0.39-0.09_{-0.47}^{+0.39}
J060.4363+55.5067 2.474011 0.329 0.126 14.202 13.778 0.78 0.527±0.0150.527\pm 0.015 2.560.06+0.062.56_{-0.06}^{+0.06} 0.870.06+0.060.87_{-0.06}^{+0.06}
J061.6000+59.6651 3.434188 0.158 0.191 14.400 14.097 0.35 0.274±0.0230.274\pm 0.023 1.410.19+0.181.41_{-0.19}^{+0.18} 0.220.19+0.180.22_{-0.19}^{+0.18}
J062.2757+57.3439 2.119598 0.281 0.131 14.863 14.497 0.54 0.262±0.0200.262\pm 0.020 1.740.17+0.161.74_{-0.17}^{+0.16} 0.390.17+0.160.39_{-0.17}^{+0.16}
J063.5805+46.9075 1.456892 0.271 0.145 13.601 13.237 0.58 0.274±0.0820.274\pm 0.082 0.580.77+0.570.58_{-0.77}^{+0.57} 0.880.77+0.57-0.88_{-0.77}^{+0.57}
J065.5257+51.2992 3.622927 0.358 0.209 15.384 14.837 0.77 0.324±0.0240.324\pm 0.024 2.620.17+0.162.62_{-0.17}^{+0.16} 0.780.17+0.160.78_{-0.17}^{+0.16}
J065.7038+47.6938 2.774777 0.174 0.154 11.687 11.452 0.34 1.222±0.1891.222\pm 0.189 1.980.37+0.311.98_{-0.37}^{+0.31} 0.790.37+0.310.79_{-0.37}^{+0.31}
J065.8718+43.5268 1.453359 0.157 0.115 14.617 14.437 0.23 0.269±0.0210.269\pm 0.021 1.660.18+0.161.66_{-0.18}^{+0.16} 0.630.18+0.160.63_{-0.18}^{+0.16}
J072.5642+39.5294ffThe absolute magnitudes quoted for these stars are 3 σ\sigma upper limits, since their nominal parallaxes are negative. 2.263109 0.220 0.143 14.852 14.597 0.43 0.022±0.123-0.022\pm 0.123 <2.41<2.41 <1.10<1.10
J073.7460+43.3008 7.746157 0.011 0.165 13.697 13.624 -0.04 0.322±0.0180.322\pm 0.018 1.190.12+0.121.19_{-0.12}^{+0.12} 0.540.12+0.120.54_{-0.12}^{+0.12}
J076.4023+45.6101 2.156734 0.222 0.158 14.793 14.528 0.38 0.322±0.0240.322\pm 0.024 2.180.17+0.162.18_{-0.17}^{+0.16} 0.830.17+0.160.83_{-0.17}^{+0.16}
J079.6501+37.6469 2.445079 0.252 0.076 14.636 14.289 0.56 0.290±0.0370.290\pm 0.037 1.740.29+0.261.74_{-0.29}^{+0.26} 0.180.29+0.260.18_{-0.29}^{+0.26}
J080.3836+43.4165 2.896787 0.112 0.073 14.607 14.443 0.19 0.174±0.0230.174\pm 0.023 0.710.31+0.270.71_{-0.31}^{+0.27} 0.280.31+0.27-0.28_{-0.31}^{+0.27}
J081.9629+42.4325 1.761931 0.024 0.187 13.104 13.071 -0.02 0.537±0.0210.537\pm 0.021 1.730.08+0.081.73_{-0.08}^{+0.08} 1.060.08+0.081.06_{-0.08}^{+0.08}
J082.4358+39.0290 1.947387 0.313 0.169 15.162 14.827 0.64 0.350±0.0250.350\pm 0.025 2.680.16+0.152.68_{-0.16}^{+0.15} 0.950.16+0.150.95_{-0.16}^{+0.15}
J084.6836+33.5786 1.083538 0.159 0.072 14.163 13.938 0.31 0.422±0.0190.422\pm 0.019 2.160.10+0.092.16_{-0.10}^{+0.09} 0.940.10+0.090.94_{-0.10}^{+0.09}
J084.9321+37.2119 1.838578 0.348 0.203 15.146 14.674 0.79 0.441±0.0270.441\pm 0.027 3.090.14+0.133.09_{-0.14}^{+0.13} 1.170.14+0.131.17_{-0.14}^{+0.13}
J089.1590+29.6893 2.092882 0.111 0.201 15.228 15.023 0.37 0.221±0.0290.221\pm 0.029 1.830.31+0.271.83_{-0.31}^{+0.27} 0.730.31+0.270.73_{-0.31}^{+0.27}
J089.1800+11.3598 6.858919 -0.083 0.200 12.974 12.993 -0.22 0.438±0.0210.438\pm 0.021 1.190.11+0.101.19_{-0.11}^{+0.10} 0.830.11+0.100.83_{-0.11}^{+0.10}
J089.7490+22.3852 1.828602 0.216 0.067 14.811 14.530 0.47 0.322±0.0210.322\pm 0.021 2.190.15+0.142.19_{-0.15}^{+0.14} 0.870.15+0.140.87_{-0.15}^{+0.14}
J089.7821+14.0001 2.914186 -0.025 0.167 14.139 14.109 -0.13 0.241±0.0180.241\pm 0.018 1.020.17+0.161.02_{-0.17}^{+0.16} 0.520.17+0.160.52_{-0.17}^{+0.16}
J090.0237+21.9017 1.852552 0.344 0.081 15.117 14.644 0.80 0.415±0.0260.415\pm 0.026 2.930.14+0.132.93_{-0.14}^{+0.13} 1.120.14+0.131.12_{-0.14}^{+0.13}
J090.7799+32.5180 3.392613 0.190 0.204 15.928 15.612 0.48 0.205±0.0390.205\pm 0.039 2.300.45+0.382.30_{-0.45}^{+0.38} 1.020.45+0.381.02_{-0.45}^{+0.38}
J091.4130+26.0389 1.653195 0.048 0.070 14.053 13.973 0.04 0.326±0.0260.326\pm 0.026 1.570.18+0.171.57_{-0.18}^{+0.17} 0.750.18+0.170.75_{-0.18}^{+0.17}
J091.6776+11.6763 2.546904 0.131 0.222 15.743 15.453 0.33 0.228±0.0320.228\pm 0.032 2.360.33+0.282.36_{-0.33}^{+0.28} 1.470.33+0.281.47_{-0.33}^{+0.28}
J092.1616+30.8849 2.167543 0.288 0.130 14.564 14.178 0.60 0.328±0.0220.328\pm 0.022 1.920.15+0.141.92_{-0.15}^{+0.14} 0.400.15+0.140.40_{-0.15}^{+0.14}
J095.0108+01.8715 2.379236 0.179 0.164 14.074 13.783 0.45 0.374±0.0170.374\pm 0.017 1.770.10+0.101.77_{-0.10}^{+0.10} 0.520.10+0.100.52_{-0.10}^{+0.10}
J095.1623+09.4416 2.680946 -0.013 0.055 13.176 13.154 -0.06 0.252±0.0160.252\pm 0.016 0.170.14+0.140.17_{-0.14}^{+0.14} 0.520.14+0.14-0.52_{-0.14}^{+0.14}
J098.3181-07.1966 1.777259 0.163 0.084 12.823 12.596 0.29 0.736±0.0140.736\pm 0.014 2.020.04+0.042.02_{-0.04}^{+0.04} 0.920.04+0.040.92_{-0.04}^{+0.04}
J098.5294-00.6734 1.756423 0.073 0.172 12.441 12.305 0.07 0.721±0.0140.721\pm 0.014 1.650.04+0.041.65_{-0.04}^{+0.04} 0.910.04+0.040.91_{-0.04}^{+0.04}
J098.8005+06.4102 5.645326 0.179 0.134 13.963 13.719 0.35 0.390±0.0140.390\pm 0.014 1.770.08+0.081.77_{-0.08}^{+0.08} 0.430.08+0.080.43_{-0.08}^{+0.08}
J099.2222+00.8030 8.34857 0.273 0.153 13.815 13.441 0.57 0.454±0.0220.454\pm 0.022 1.880.11+0.101.88_{-0.11}^{+0.10} 0.370.11+0.100.37_{-0.11}^{+0.10}
J100.1756+00.2310 1.461506 0.141 0.075 14.051 13.857 0.28 0.428±0.0200.428\pm 0.020 2.090.10+0.102.09_{-0.10}^{+0.10} 0.970.10+0.100.97_{-0.10}^{+0.10}
J105.5347-01.9077 2.944283 -0.035 0.102 13.902 13.903 -0.17 0.260±0.0150.260\pm 0.015 0.970.13+0.130.97_{-0.13}^{+0.13} 0.470.13+0.130.47_{-0.13}^{+0.13}
J106.0648-03.3054 1.428092 0.075 0.120 15.109 14.961 0.14 0.216±0.0330.216\pm 0.033 1.690.37+0.311.69_{-0.37}^{+0.31} 0.800.37+0.310.80_{-0.37}^{+0.31}
J106.2127-00.9740 2.027484 -0.062 0.129 13.672 13.707 -0.21 0.404±0.0160.404\pm 0.016 1.720.09+0.091.72_{-0.09}^{+0.09} 1.270.09+0.091.27_{-0.09}^{+0.09}
J107.2480-12.7673 2.951689 0.298 0.096 14.592 14.194 0.67 0.320±0.0180.320\pm 0.018 1.880.13+0.121.88_{-0.13}^{+0.12} 0.130.13+0.120.13_{-0.13}^{+0.12}
J108.1707-08.2617 2.079303 0.105 0.079 14.238 14.074 0.22 0.288±0.0200.288\pm 0.020 1.440.16+0.151.44_{-0.16}^{+0.15} 0.280.16+0.150.28_{-0.16}^{+0.15}
J109.4314-15.7080 3.587642 0.311 0.137 15.395 14.981 0.71 0.234±0.0270.234\pm 0.027 2.000.27+0.242.00_{-0.27}^{+0.24} 0.270.27+0.240.27_{-0.27}^{+0.24}
J109.7734-07.1470 1.858906 -0.096 0.059 13.978 14.049 -0.28 0.255±0.0210.255\pm 0.021 1.050.19+0.171.05_{-0.19}^{+0.17} 0.760.19+0.170.76_{-0.19}^{+0.17}
J110.2675-03.2520 2.809982 -0.146 0.233 12.659 12.753 -0.39 0.445±0.0240.445\pm 0.024 0.950.12+0.110.95_{-0.12}^{+0.11} 0.710.12+0.110.71_{-0.12}^{+0.11}
J110.2057-08.5343 2.501694 0.031 0.167 15.241 15.003 0.13 0.284±0.0270.284\pm 0.027 2.360.22+0.202.36_{-0.22}^{+0.20} 1.580.22+0.201.58_{-0.22}^{+0.20}
J110.9074-12.0800 1.647087 0.055 0.075 13.760 13.655 0.10 0.347±0.0180.347\pm 0.018 1.390.11+0.111.39_{-0.11}^{+0.11} 0.540.11+0.110.54_{-0.11}^{+0.11}
J110.9392-21.9535 1.609184 0.229 0.084 14.555 14.269 0.43 0.333±0.0180.333\pm 0.018 2.000.12+0.112.00_{-0.12}^{+0.11} 0.550.12+0.110.55_{-0.12}^{+0.11}
J111.2165-23.1396 7.770775 0.311 0.120 15.032 14.636 0.66 0.215±0.0180.215\pm 0.018 1.460.19+0.181.46_{-0.19}^{+0.18} 0.250.19+0.18-0.25_{-0.19}^{+0.18}
J112.7672-19.4071 1.769319 0.065 0.098 13.521 13.425 0.06 0.364±0.0120.364\pm 0.012 1.270.08+0.071.27_{-0.08}^{+0.07} 0.330.08+0.070.33_{-0.08}^{+0.07}
J112.9447-28.3476ffThe absolute magnitudes quoted for these stars are 3 σ\sigma upper limits, since their nominal parallaxes are negative. 2.963217 -0.008 0.110 14.224 14.185 -0.08 0.272±0.181-0.272\pm 0.181 <1.36<1.36 <0.57<0.57
J113.2387-19.4340 2.273453 0.150 0.082 13.536 13.309 0.26 0.353±0.0130.353\pm 0.013 1.140.08+0.081.14_{-0.08}^{+0.08} 0.060.08+0.080.06_{-0.08}^{+0.08}
J113.8870-24.3497 1.424931 0.145 0.136 14.903 14.674 0.31 0.251±0.0190.251\pm 0.019 1.760.17+0.161.76_{-0.17}^{+0.16} 0.600.17+0.160.60_{-0.17}^{+0.16}
J114.4848-21.4294 2.972624 0.043 0.110 14.070 13.953 0.06 0.290±0.0140.290\pm 0.014 1.310.11+0.101.31_{-0.11}^{+0.10} 0.540.11+0.100.54_{-0.11}^{+0.10}
J115.0928-10.6198 1.908329 -0.166 0.083 14.320 14.439 -0.47 0.269±0.0240.269\pm 0.024 1.540.20+0.181.54_{-0.20}^{+0.18} 1.340.20+0.181.34_{-0.20}^{+0.18}
J116.4925-16.0440 1.807299 -0.120 0.099 14.584 14.684 -0.28 0.237±0.0240.237\pm 0.024 1.510.23+0.211.51_{-0.23}^{+0.21} 1.210.23+0.211.21_{-0.23}^{+0.21}
J116.5342-19.8451ggGaia DR3 does not provide a parallax for this star, but we tentatively list it as a probable α2\alpha^{2} CVn based on its color. 1.860305 0.082 0.075 13.969 13.825 0.13  \cdots  \cdots  \cdots
J116.5376-20.4285 1.682906 0.016 0.137 14.029 13.954 -0.05 0.342±0.0160.342\pm 0.016 1.650.10+0.101.65_{-0.10}^{+0.10} 0.960.10+0.100.96_{-0.10}^{+0.10}
J116.8586-29.7166 2.245591 0.314 0.117 14.672 14.223 0.68 0.293±0.0160.293\pm 0.016 1.750.12+0.111.75_{-0.12}^{+0.11} 0.030.12+0.110.03_{-0.12}^{+0.11}
J117.0754-24.7339 1.521412 -0.007 0.089 13.216 13.159 -0.10 0.242±0.0200.242\pm 0.020 0.100.19+0.170.10_{-0.19}^{+0.17} 0.580.19+0.17-0.58_{-0.19}^{+0.17}
J117.1588-19.3073 2.776477 0.014 0.115 14.308 14.202 -0.02 0.264±0.0190.264\pm 0.019 1.350.16+0.151.35_{-0.16}^{+0.15} 0.660.16+0.150.66_{-0.16}^{+0.15}
J117.4249-26.8279 2.784376 0.049 0.217 14.771 14.536 0.16 0.226±0.0170.226\pm 0.017 1.400.17+0.161.40_{-0.17}^{+0.16} 0.590.17+0.160.59_{-0.17}^{+0.16}
J117.8237-09.5101 1.789376 -0.203 0.117 12.881 13.062 -0.53 0.496±0.0330.496\pm 0.033 1.460.15+0.141.46_{-0.15}^{+0.14} 1.430.15+0.141.43_{-0.15}^{+0.14}
J118.1364-26.0263 3.159168 0.076 0.081 14.366 14.258 0.14 0.174±0.0150.174\pm 0.015 0.500.20+0.180.50_{-0.20}^{+0.18} 0.440.20+0.18-0.44_{-0.20}^{+0.18}
J118.1717-28.2232 1.836496 0.155 0.082 14.966 14.748 0.32 0.254±0.0180.254\pm 0.018 1.860.16+0.151.86_{-0.16}^{+0.15} 0.700.16+0.150.70_{-0.16}^{+0.15}
J118.6780-30.9643 1.914314 0.143 0.101 13.927 13.745 0.15 0.371±0.0170.371\pm 0.017 1.660.10+0.101.66_{-0.10}^{+0.10} 0.750.10+0.100.75_{-0.10}^{+0.10}
J120.3173-30.6071 1.635983 0.156 0.086 14.574 14.397 0.22 0.266±0.0160.266\pm 0.016 1.600.13+0.131.60_{-0.13}^{+0.13} 0.540.13+0.130.54_{-0.13}^{+0.13}
J121.7666-30.2091 1.623933 0.266 0.149 15.683 15.388 0.49 0.263±0.0230.263\pm 0.023 2.610.20+0.192.61_{-0.20}^{+0.19} 1.420.20+0.191.42_{-0.20}^{+0.19}
J122.5464-32.9936 4.368425 0.371 0.137 15.381 14.987 0.76 0.189±0.0210.189\pm 0.021 1.530.25+0.221.53_{-0.25}^{+0.22} 0.160.25+0.22-0.16_{-0.25}^{+0.22}
J183.0555+26.0000 1.552371 -0.278 0.115 14.449 14.676 -0.70 0.118±0.0340.118\pm 0.034 0.060.74+0.55-0.06_{-0.74}^{+0.55} 0.380.74+0.550.38_{-0.74}^{+0.55}
J275.6627-12.0194 2.767335 0.160 0.171 12.949 12.679 0.35 0.690±0.0180.690\pm 0.018 1.980.06+0.061.98_{-0.06}^{+0.06} 0.790.06+0.060.79_{-0.06}^{+0.06}
J311.5037+47.0071 2.701917 0.053 0.125 12.856 12.753 0.07 0.470±0.0100.470\pm 0.010 1.150.05+0.051.15_{-0.05}^{+0.05} 0.460.05+0.050.46_{-0.05}^{+0.05}
J322.5803+48.1366 3.722594 0.017 0.126 13.554 13.488 -0.00 0.407±0.0140.407\pm 0.014 1.560.07+0.071.56_{-0.07}^{+0.07} 0.780.07+0.070.78_{-0.07}^{+0.07}
J336.4884+56.9915 2.408172 0.278 0.137 15.242 14.788 0.66 0.216±0.0210.216\pm 0.021 1.650.23+0.201.65_{-0.23}^{+0.20} 0.040.23+0.200.04_{-0.23}^{+0.20}
J340.1084+58.6023 2.775725 0.293 0.105 14.350 13.903 0.73 0.491±0.0150.491\pm 0.015 2.540.07+0.062.54_{-0.07}^{+0.06} 0.870.07+0.060.87_{-0.07}^{+0.06}
\startlongtable
Table 2: ATLAS UCBH stars that probably are not α2\alpha^{2} CVn stars
ATLAS IDaaThese IDs encode the star’s approximate RA and Dec in decimal degrees, and allow lookup in the ATLAS DR1 database (see Heinze et al. (2018)) Period (d) coc-obbThe ATLAS cc (cyan) and oo (orange) photometric bands are defined in Tonry et al. (2018a) amplitudeccPeak-to-trough amplitude based on Fourier fitting of the ATLAS data. Values provided are the average of cc and oo band amplitudes, but typically they were very similar. g r g-z parallaxddParallaxes are from Gaia DR3 (Gaia Collaboration et al., 2022). (mas) MVM_{V}eeThe gg, rr, zz, and KK magnitudes are from Tonry et al. (2018b) and represent a homogeneous recalibration of magnitudes drawn from Gaia DR2, Pan-STARRS, 2MASS, and other sources. MVM_{V} and MKM_{K} are derived from these magnitudes and the Gaia parallaxes. MKM_{K}eeThe gg, rr, zz, and KK magnitudes are from Tonry et al. (2018b) and represent a homogeneous recalibration of magnitudes drawn from Gaia DR2, Pan-STARRS, 2MASS, and other sources. MVM_{V} and MKM_{K} are derived from these magnitudes and the Gaia parallaxes.
J057.9558+54.6451 2.222517 0.469 0.083 13.811 13.195 1.03 0.843±0.0390.843\pm 0.039 3.080.10+0.103.08_{-0.10}^{+0.10} 0.980.10+0.100.98_{-0.10}^{+0.10}
J059.8990+50.2781 4.764477 0.576 0.215 16.508 15.729 1.37 0.282±0.0390.282\pm 0.039 3.300.32+0.283.30_{-0.32}^{+0.28} 0.720.32+0.280.72_{-0.32}^{+0.28}
J067.0419+51.6124 6.716061 0.413 0.193 16.158 15.558 0.98 0.209±0.0340.209\pm 0.034 2.410.38+0.332.41_{-0.38}^{+0.33} 0.590.38+0.330.59_{-0.38}^{+0.33}
J074.6123+26.0721 2.610292 0.395 0.078 14.988 14.503 0.92 0.375±0.0210.375\pm 0.021 2.570.12+0.122.57_{-0.12}^{+0.12} 0.690.12+0.120.69_{-0.12}^{+0.12}
J075.5525+46.9691 2.664824 0.440 0.095 14.993 14.414 0.98 0.366±0.0250.366\pm 0.025 2.470.16+0.152.47_{-0.16}^{+0.15} 0.430.16+0.150.43_{-0.16}^{+0.15}
J082.6906-06.8709 1.137648 1.094 0.215 16.911 15.651 2.76 2.814±0.0282.814\pm 0.028 8.430.02+0.028.43_{-0.02}^{+0.02} 3.930.02+0.023.93_{-0.02}^{+0.02}
J083.1858+21.5801 2.081992 0.750 0.398 16.055 15.071 1.78 0.787±0.0590.787\pm 0.059 4.960.17+0.164.96_{-0.17}^{+0.16} 1.420.17+0.161.42_{-0.17}^{+0.16}
J089.0960+24.8012 1.363957 0.369 0.164 15.985 15.468 0.83 0.256±0.0360.256\pm 0.036 2.720.33+0.292.72_{-0.33}^{+0.29} 0.740.33+0.290.74_{-0.33}^{+0.29}
J095.3593+12.9723 4.515769 0.521 0.213 16.424 15.589 1.19 0.225±0.0400.225\pm 0.040 2.700.43+0.362.70_{-0.43}^{+0.36} 0.470.43+0.360.47_{-0.43}^{+0.36}
J101.5867-01.4697ggThis star is in the right color range to be a reddened Ap star, but it appears to be insufficiently luminous. 1.903659 0.214 0.081 13.631 13.349 0.49 1.146±0.6281.146\pm 0.628 3.761.72+0.953.76_{-1.72}^{+0.95} 2.291.72+0.952.29_{-1.72}^{+0.95}
J114.4350-24.3432 2.242821 0.376 0.123 15.442 14.839 0.92 0.345±0.0230.345\pm 0.023 2.780.15+0.142.78_{-0.15}^{+0.14} 0.850.15+0.140.85_{-0.15}^{+0.14}
J138.5489+06.3771 4.097173 0.440 0.178 15.372 14.779 1.05 0.598±0.0310.598\pm 0.031 3.910.12+0.113.91_{-0.12}^{+0.11} 1.470.12+0.111.47_{-0.12}^{+0.11}
J207.7199+36.7006ffWhile most of the objects in this table are deemed too red to be Ap stars, this one is probably too blue. 3.31534 -0.373 0.318 13.290 13.645 -0.95 1.095±0.0241.095\pm 0.024 3.690.05+0.053.69_{-0.05}^{+0.05} 4.000.05+0.054.00_{-0.05}^{+0.05}
J238.9224-20.7209 1.028827 1.235 0.260 15.358 13.964 3.11 7.149±0.0197.149\pm 0.019 8.820.01+0.018.82_{-0.01}^{+0.01} 3.720.01+0.013.72_{-0.01}^{+0.01}
J266.7656+06.0408ggThis star is in the right color range to be a reddened Ap star, but it appears to be insufficiently luminous. 4.555574 0.508 0.298 14.688 14.303 0.56 0.954±0.0290.954\pm 0.029 4.360.07+0.064.36_{-0.07}^{+0.06}  \cdots
J279.0944-07.2749 3.236192 0.561 0.176 15.053 14.377 1.29 0.520±0.0220.520\pm 0.022 3.240.09+0.093.24_{-0.09}^{+0.09} 0.850.09+0.090.85_{-0.09}^{+0.09}
J280.0484-07.0582 2.216235 0.384 0.118 14.433 13.968 0.89 0.354±0.0200.354\pm 0.020 1.910.13+0.121.91_{-0.13}^{+0.12} 0.110.13+0.12-0.11_{-0.13}^{+0.12}
J299.4473+32.3039 1.72322 0.477 0.132 15.495 14.875 1.08 0.241±0.0200.241\pm 0.020 2.050.19+0.182.05_{-0.19}^{+0.18} 0.040.19+0.18-0.04_{-0.19}^{+0.18}
J304.4798+40.9564 3.372826 0.931 0.166 16.663 15.470 2.30 0.615±0.0230.615\pm 0.023 4.910.08+0.084.91_{-0.08}^{+0.08} 0.990.08+0.080.99_{-0.08}^{+0.08}
J306.8515+38.9758 1.381301 0.653 0.156 15.629 14.726 1.55 0.556±0.0190.556\pm 0.019 3.830.07+0.073.83_{-0.07}^{+0.07} 1.070.07+0.071.07_{-0.07}^{+0.07}
J313.8366+15.3471 3.093374 0.655 0.345 16.114 15.109 1.69 0.615±0.0290.615\pm 0.029 4.470.11+0.104.47_{-0.11}^{+0.10} 1.360.11+0.101.36_{-0.11}^{+0.10}
J315.9822+55.3700 2.644264 0.507 0.129 14.768 14.136 1.12 0.628±0.1010.628\pm 0.101 3.390.38+0.323.39_{-0.38}^{+0.32} 1.160.38+0.321.16_{-0.38}^{+0.32}
J319.0262+51.3139 2.200647 0.431 0.133 14.329 13.792 0.97 0.512±0.0110.512\pm 0.011 2.560.05+0.052.56_{-0.05}^{+0.05} 0.610.05+0.050.61_{-0.05}^{+0.05}
J331.2729+57.0606 4.63986 0.392 0.116 14.578 14.072 0.89 0.318±0.0180.318\pm 0.018 1.800.12+0.121.80_{-0.12}^{+0.12} 0.170.12+0.12-0.17_{-0.12}^{+0.12}
J336.8577+57.3726 7.399448 0.757 0.160 14.127 13.122 1.79 4.654±0.4724.654\pm 0.472 6.880.23+0.216.88_{-0.23}^{+0.21} 3.400.23+0.213.40_{-0.23}^{+0.21}

Figures 1 and 2 give examples of the specific and unusual ‘upside-down contact binary’ light curve shape that defines these stars. The UCBH lightcurves have narrow, symmetrical maxima and broad, nearly-flat minima. The machine learning we used in ATLAS DR1 classified most UCBH stars as pulsators. However, known classes of pulsating variables typically have markedly asymmetrical maxima (the familiar ‘sawtooth’ shape of RRAB and δ\delta Scuti variables) or else more sinusoidal variations (RRC and some types of Cepheids). Furthermore, our spectral types combined with absolute magnitudes based on Gaia distances (Section 5) indicate that most UCBH variables are A-type or late B-type main sequence stars, and when such stars pulsate (e.g., the δ\delta Scuti stars), their fundamental frequencies lead to periods much shorter than those of UCBH stars.

Alternatively, as illustrated by Figure 2, a rotating star with a single bright spot near the equator will naturally exhibit UCBH-type variations for a wide range of non-polar viewing geometries. The probability that our line of sight to a randomly oriented star will be inclined by an angle θ\theta to its rotation axis is proportional to sin(θ)\sin(\theta), so near-polar (θ0\theta\sim 0) viewing geometries are statistically disfavored. Hence, if the Milky Way contains a population of stars that have a single bright spot at low latitude, simple geometry dictates that the majority of them must appear as UCBH stars.

A bright, low-latitude spot is not the only way to produce a UCBH-type rotational lightcurve. The pink curves in Figure 2 demonstrate that a band of equatorial dark spots with a gap in it will produce a similar effect. However, this band-and-gap explanation (though it may apply to some systems) is more complex and specific: Occam’s Razor favors the model with just a single bright spot. Unless stars with such a feature are vanishingly rare in the Milky Way, the geometrical argument we have already made demonstrates that they must be represented among our UCBH objects.

Refer to captionRefer to caption

Figure 2: The characteristic lightcurves of ATLAS UCBH stars match those expected from a single bright spot on a rotating star for a variety of spot sizes, contrasts, latitudes, and sub-observer latitudes, both with and without limb-darkening. Left: Example lightcurves for four ATLAS UCBH stars, with c-band photmetry in blue, o-band in red, and Fourier fits (see Heinze et al. (2018)) plotted as solid curves. Right: Model light curves for rotating stars with a single bright spot. They resemble UCBH light curves except for spot diameters larger than 120, and for high sub-observer latitudes (that is, low inclinations), when the spots can become circumpolar. A similar light curve results from the more contrived case of a ring of dark spots with a gap (pink curves in the upper plots).

To explore the photometric behavior of UCBH stars with higher precision and more wavelength bands, we monitored the UCBH star ATO J110.9074-12.0800 intensively for five nights (UT 2019 January 18–22) using the University of Hawaii 2.2 meter telescope on Maunakea (Figure 3). This star was later spectrally confirmed to be an Ap star and hence an α2\alpha^{2} CVn variable. For our photometric monitoring we used the BB, RR, II, and zz filters, finding very similar lightcurve shape in all filters, with slightly reduced amplitudes in the BB and possibly zz bands. Interestingly, we do not see a phase-reversal at BB-band relative to RR and II, such as was noted by Drury et al. (2017) in the sinusoidally-varying α2\alpha^{2} CVn variable KIC 2569073.

The phase and lightcurve shape of ATO J110.9074-12.0800 have remained coherent and unchanging to within measurement error from the beginning of ATLAS data aquisition in October 2015 up through the UH 2.2 meter monitoring in January 2019. In the higher-precision 2.2 meter data the maximum continues to appear very symmetrical. A slant and slight ‘bump’ on the floor of the broad minimum, hinted at in the ATLAS data, are confirmed by the more precise photometry. Such features also seem to be indicated in ATLAS data for other UCBH stars, notably ATO J010.7230+57.8087 (Figure 2). This indicates that the feature producing the photometric maximum, while dominant, is not necessarily the only photospheric inhomogeneity on a typical UCBH star.

Refer to captionRefer to caption

Figure 3: Folded lightcurves of ATO J110.9074-12.0800. Left: apparent magnitude vs. phase for targeted BB, RR, II, zz-band photometry from the University of Hawaii 2.2m telescope on Mauna Kea, together with the oo and cc-band photometry from ATLAS. Right: Same data as at left, but with magnitude offsets applied to facilitate comparing the light curves in greater detail. The light curve shape is consistent from 2015 (ATLAS data) through 2019 (UH 2.2m data), and across the different photometric bands probed here — in strong contrast to the sinusoidally-varying α2\alpha^{2} CVn variable KIC 2569073, which showed a phase-reversal in the BB-band relative to RCR_{\mathrm{C}} and ICI_{\mathrm{C}} (Drury et al., 2017).

3 Spectra of UCBH Stars

3.1 Observations

In 2018 we acquired spectra of five ATLAS UCBH stars with the GMOS spectrograph on the 8-meter Gemini North telescope under proposal ID GN-2018B-Q-216. This proposal was designed to take advantage of the worst usable weather by targeting bright objects that could be usefully observed even through moonlit cloud with bad seeing. This observing plan produced a win-win situation in which we provided Gemini queue observers with targets for conditions when almost nothing else could be observed, while the spectra they acquired for us were in fact considerably better than our nominal requirements. This happened because worst-case observing conditions are statistically rare, so the majority of our data were acquired in somewhat better weather than we had planned for (though still too poor for most observing programs).

Our plan of exploiting the worst usable weather at Gemini determined determined both our choice of target objects (the brightest ATLAS UCBH stars observable) and the slit width (2.0 arcsec, to allow for very bad seeing). We used the GMOS B1200 grating, which delivers a nominal resolution of R=3744R=3744 at 4630Å  with an 0.5 arcsecond slit222https://www.gemini.edu/instrumentation/gmos/components#Gratings. Our 2.0 arcsecond slit would therefore be expected to deliver R=936R=936, four times worse than nominal – but the actual resolution could be higher if the seeing was smaller than the slit. We observed each target alternately with two different central wavelength settings, 4400Å  and 4680Å, enabling us to fill in gaps between the three GMOS CCDs and obtain continuous spectral coverage from 3650–5500Å.

In addition to our GMOS observations, we acquired spectra of nine additional UCBH stars using the SNIFS instrument (Lantz et al., 2004) on the University of Hawaii 2.2 meter telescope on Maunakea, in February and March 2019. A substantially larger number of spectra was originally expected from this observing program, but it was plagued with bad weather and equipment problems. The SNIFS instrument has a blue module delivering spectral coverage from 3200–5600Å  with resolution R1000R\sim 1000 at 4300Å, and a red module covering 5200-10000Å  with R1300R\sim 1300 at 7600Å  (Lantz et al., 2004).

Our nominal resolution element at 4500\sim 4500Å  should be 4500/9364500/936 = 4.8Å  with GMOS and 4500/10004500/1000 = 4.5Å  with SNIFS. Comparisons of our GMOS and SNIFS spectra demonstrate that GMOS has actually delivered better resolution — an indication that the seeing was smaller than our 2.0 arcsecond slit width during our GMOS observations.

3.2 Identification of Ap Stars

Our Gemini spectra (Figure 4) showed all five science targets to be Ap/Bp stars: that is, A-type or B-type stars with enormously enhanced abundances of a few specific heavy elements (mainly silicon, europium, chromium, and strontium). The peculiar lines that we detect most strongly form two blends, one near 4080Å  (likely a blend of Sr and Cr) and another near 4130Å  (a blend of Si and Eu). The resolution of our spectra is insufficient to determine the relative contributions of each element to the blended lines. Previous work on such stars (see, e.g. Preston, 1974; Dukes & Adelman, 2018) distinguishes fine gradations of spectral classification depending on magnetic field strength and on what elements are enhanced to what extent. Since multiple lines are blended in our spectra, they do not enable us to assign exact types of chemical peculiarity — but they do establish that our targets fall into the broad category of chemically peculiar A-type or B-type stars.

The SNIFS spectra, though not matching the resolution and signal-to-noise ratio of GMOS, are nevertheless sufficient to show that five of our SNIFS targets are Ap/Bp stars, while the rest are not A or B stars at all. Figure 4 shows spectra for all ten of our spectrally confirmed Ap/Bp stars, five from GMOS and five from SNIFS.

Refer to captionRefer to caption

Figure 4: Left: Low-resolution spectra of five ATLAS ‘UCBH’ stars acquired with Gemini/GMOS (blue), compared with those of normal A-type standard stars (black). The UCBH stars have strong enhancements of specific heavy elements in their atmospheres, as indicated by the lines labeled Sr/Cr and Si/Eu. As the lines are blended at this resolution, the relative contributions of the different elements cannot be determined. Right: Similar comparison for spectra of five additional UCBH stars (dark red) acquired with the SNIFS spectrograph at the UH 2.2 meter telescope on Mauna Kea. Although the SNIFS spectra do not have as high resolution and SNR as those from GMOS, the peculiar metal lines can still be clearly seen.

3.3 Spectral Types of UCBH stars

We have attempted to determine spectral types for the UCBH stars for which we have spectra. We have done this classification manually using comparison spectra from the Stellar Spectral Flux Library of Pickles (1998), guided in part by the diagnostic spectral lines mentioned in the Atlas of Stellar Spectra333https://ned.ipac.caltech.edu/level5/ASS_Atlas/frames.html. The effective resolution of our SNIFS spectra matches fairly well with the 5Å sampling used in the Pickles (1998) library. The higher resolution of our GMOS spectra made narrow spectral lines look too deep relative to the Pickles (1998) library, so we smoothed the GMOS classification spectra using a Gaussian blur of σ=3\sigma=3Å.

The classification spectra of our α2\alpha^{2} CVn stars, with appropriate comparison spectra from Pickles (1998), are shown in Figure 5, and the spectral types we assigned are in Table 3. For these A-type (or very late B) stars, classification with uncertainty no greater than one spectral subtype appears to be possible based on the strength of the calcium H line at 3969Å  (which is the only one in our spectra with significant diagnostic power). Based on this, we would expect our spectral types to be quite accurate — with the important caveat that the chemical peculiarity of our stars might have affected the calcium H line or our perception of it (e.g., by changing the nearby continuum). That the spectra are not typical of A stars is obvious even at reduced resolution: besides numerous lines not present in the comparison spectra, the hydrogen Balmer lines seem somewhat weaker in the UCBH stars. However, unless classification biases from the peculiar spectra are extremely severe, there is no doubt that all of our α2\alpha^{2} CVn stars are early A or very late B-type.

Four of the UCBH stars for which we obtained SNIFS spectra were not α2\alpha^{2} CVn stars. One of these, ATO J207.7199+36.7006, is in fact the known subdwarf OB star PG 1348+369 (Green et al., 1986; Wesemael et al., 1992). Since our spectra are consistent with the published results, and indicate a star much too hot to be an α2\alpha^{2} CVn variable, we have not attempted to reclassify this object. Spectra of the remaining three UCBH stars, which have much later spectral types, are shown along with Pickles (1998) comparison spectra in Figure 6. The spectral types we assigned them are provided in Table 3. For these classifications, the diagnostic lines listed in the Atlas of Stellar Spectra were of limited value because our SNIFS spectra of these red objects were very faint in the blue region covered by the Atlas. Hence, we made use of many other lines at much longer wavelengths that appeared to be diagnostic based on their variations with spectral type seen in the Pickles (1998) library. We expect our classifications of these later-type stars to have an accuracy of around two spectral subtypes. Interestingly, all three of our late-type UCBH stars show significant Hα\alpha emission (Figure 6, right panel).

Refer to captionRefer to caption

Figure 5: Spectral classifications of A-type UCBH stars with GMOS (left, blue) and SNIFS (right, dark red). Comparison spectra, plotted in black, are from the library of Pickles (1998). Our GMOS spectra have been smoothed to match the library resolution. Gray vertical lines mark some of the spectral lines mentioned as useful for classification in the Atlas of Stellar Spectra (see text). The spectral types we found for these stars, based almost exclusively on the changing strength of the calcium H line at 3969Å, are written on the spectra in these plots and listed Table 3.

Refer to captionRefer to caption

Figure 6: Spectral classifications of late-type UCBH stars with SNIFS (left), and the detection of Hα\alpha emission in these stars (right, with Hα\alpha marked by a gray vertical line). The target spectra are shown in dark red, while comparison spectra from the library of Pickles (1998) are plotted in black. Gray vertical lines mark some of the spectral lines mentioned as useful for classification in the Atlas of Stellar Spectra, but as the Atlas covers only relatively short wavelengths, we have used many other lines and bands to arrive at the spectral types given in Table 3. The pale blue line near 7600Å in the left-hand plot marks the Fraunhofer A band, which is not intrinsic to the stars but is caused by oxygen in Earth’s atmosphere.
Table 3: ATLAS UCBH stars classified with low-resolution spectra
Spectral
Star Type Instrument α2\alpha^{2} CVn?
ATO J010.7230+57.8087 A0 GMOS yes
ATO J063.5805+46.9075 A1 GMOS yes
ATO J065.5257+51.2992 A2 SNIFS yes
ATO J065.7038+47.6938 B9 GMOS yes
ATO J073.7460+43.3008 A2 GMOS yes
ATO J081.9629+42.4325 A0 GMOS yes
ATO J082.6906-06.8709 M2 SNIFS no
ATO J083.1858+21.5801 K2 SNIFS no
ATO J089.1800+11.3598 A0 SNIFS yes
ATO J092.1616+30.8849 B9 SNIFS yes
ATO J110.2675-03.2520 A1 SNIFS yes
ATO J110.9074-12.0800 A0 SNIFS yes
ATO J138.5489+06.3771 K2 SNIFS no
ATO J207.7199+36.7006 sd0 SNIFS no

4 UCBH stars from Bernhard et al. (2020)

Bernhard et al. (2020) make a remarkable contribution to the photometry of α2\alpha^{2} CVn stars by analyzing photometry of 294 bright Ap/Bp stars with previous spectroscopic identifications. They use data from three surveys that, by using very small apertures, maintain photometric precision for bright stars that are saturated in ATLAS photometry. Examining their published lightcurves, we identify 33 UCBH stars, which we list in Table 4 together with relevant parameters for these stars from Bernhard et al. (2020), Tonry et al. (2018b), and Gaia DR3 (Gaia Collaboration et al., 2022). These stars, being much brighter than the ATLAS UCBH stars of Table 1, can more easily be explored with high resolution, high-SNR spectroscopy or spectropolarimetry such as is required for detailed abundance analysis or Zeeman Doppler imaging. Many of the Bernhard et al. (2020) stars might be less interesting targets because they have much smaller photometric amplitudes relative to the ATLAS UCBH stars — but a few exceptions (particularly HD 191287, HD 77314, and HD 205938) have perfect UCBH lightcurves with ATLAS-like amplitudes. As these stars are magnitudes brighter than any in the ATLAS catalog, they are the most promising targets for followup spectroscopy and Zeeman Dopper imaging to probe the chemical abundances and magnetic field topologies of α2\alpha^{2} CVn stars with UCBH lightcurves (see Section 6).

\startlongtable
Table 4: α2\alpha^{2} CVn stars with UCBH lightcurves from Bernhard et al. (2020)
Star Period(d) SpaaPeriods and spectral types are from Bernhard et al. (2020) amplitudebbVV-band peak-to-trough variability amplitude (magnitudes) from Bernhard et al. (2020) VccAverage VV-band from Bernhard et al. (2020) g-zddFrom Tonry et al. (2018b) parallaxeeParallaxes are from Gaia DR3 (Gaia Collaboration et al., 2022). (mas) MVM_{V}ffMVM_{V} and MKM_{K} are derived from Tonry et al. (2018b) photometry and the Gaia parallaxes. MKM_{K}ffMVM_{V} and MKM_{K} are derived from Tonry et al. (2018b) photometry and the Gaia parallaxes. RemarksggSuitability for high resolution spectroscopic investigation, based on visual examination of the Bernhard et al. (2020) light curve: ‘Strong’ means a good candidate with amplitude much larger than the photometric scatter. ‘Ideal’ means, additionally, high-amplitude variations that perfectly exemplify the UCBH lightcurve shape.
HD 7546 3.9725 A0 0.03 9.43 -0.525 2.9380±0.10272.9380\pm 0.1027 1.770.08+0.081.77_{-0.08}^{+0.08} 1.000.08+0.08-1.00_{-0.08}^{+0.08}
HD 26792 3.8023 B8 0.04 6.69 -0.581 6.1745±0.03076.1745\pm 0.0307 0.640.01+0.010.64_{-0.01}^{+0.01} 0.540.01+0.010.54_{-0.01}^{+0.01} Strong
HD 30466 1.40687 A0 0.03 7.25 -0.402 5.1396±0.27915.1396\pm 0.2791 0.800.12+0.110.80_{-0.12}^{+0.11} 0.370.12+0.110.37_{-0.12}^{+0.11}
HD 39317 2.6558 B9 0.01 5.59 -0.731 6.8553±0.09596.8553\pm 0.0959 0.230.03+0.03-0.23_{-0.03}^{+0.03} 0.250.03+0.03-0.25_{-0.03}^{+0.03}
HD 43819 14.981 B9 0.02 6.27 -0.796 4.0642±0.17354.0642\pm 0.1735 0.690.09+0.09-0.69_{-0.09}^{+0.09} 0.540.09+0.09-0.54_{-0.09}^{+0.09}
HD 44903 1.41143 A5 0.03 8.37 -0.445 4.7409±0.04304.7409\pm 0.0430 1.750.02+0.021.75_{-0.02}^{+0.02} 1.460.02+0.021.46_{-0.02}^{+0.02} Strong
HD 46462 10.346 B9 0.06 7.53 -0.935 4.1051±0.38304.1051\pm 0.3830 0.600.21+0.190.60_{-0.21}^{+0.19} 0.870.21+0.190.87_{-0.21}^{+0.19}
HD 51418 5.4377 A0 0.13 6.67 -0.536 5.6092±0.09295.6092\pm 0.0929 0.420.04+0.040.42_{-0.04}^{+0.04} 0.350.04+0.040.35_{-0.04}^{+0.04} Strong
HD 55667 1.79690 A2 0.03 6.95 -0.645 7.4800±0.02777.4800\pm 0.0277 1.320.01+0.011.32_{-0.01}^{+0.01} 1.310.01+0.011.31_{-0.01}^{+0.01} Strong
HD 56273 1.78678 B8 0.04 7.90 -0.749 2.7056±0.03532.7056\pm 0.0353 0.060.03+0.030.06_{-0.03}^{+0.03} 0.220.03+0.030.22_{-0.03}^{+0.03}
HD 77314 2.86445 A2 0.08 7.24 -0.528 4.4294±0.04934.4294\pm 0.0493 0.470.03+0.020.47_{-0.03}^{+0.02} 0.200.03+0.020.20_{-0.03}^{+0.02} Ideal
HD 88701 25.77 B9 0.06 9.30 -0.453 2.0931±0.02012.0931\pm 0.0201 0.900.02+0.020.90_{-0.02}^{+0.02} 0.820.02+0.020.82_{-0.02}^{+0.02}
HD 129189 1.35563 B9 0.03 8.61 -0.511 3.6861±0.02313.6861\pm 0.0231 1.440.01+0.011.44_{-0.01}^{+0.01} 1.220.01+0.011.22_{-0.01}^{+0.01}
HD 142884 0.80296 B9 0.02 6.77 -0.581 5.7423±0.04155.7423\pm 0.0415 0.560.01+0.020.56_{-0.01}^{+0.02} 0.470.01+0.020.47_{-0.01}^{+0.02}
HD 150714 1.62906 A0 0.05 7.56 0.342 6.0507±0.03316.0507\pm 0.0331 1.470.01+0.011.47_{-0.01}^{+0.01} 0.960.01+0.010.96_{-0.01}^{+0.01}
HD 151199 2.2267 A3 0.01 6.17 -0.539 9.6547±0.12709.6547\pm 0.1270 1.090.03+0.031.09_{-0.03}^{+0.03}  \cdots
HD 154187 8.096 A0 0.03 9.27 0.518 3.3825±0.03493.3825\pm 0.0349 1.920.02+0.021.92_{-0.02}^{+0.02} 0.330.02+0.020.33_{-0.02}^{+0.02}
HD 173650 9.976 A0 0.04 6.51 -0.456 4.0447±0.02614.0447\pm 0.0261 0.460.01+0.01-0.46_{-0.01}^{+0.01} 0.570.01+0.01-0.57_{-0.01}^{+0.01}
HD 176582 1.58193 B5 0.02 6.40 -0.643 3.2506±0.04113.2506\pm 0.0411 1.040.03+0.03-1.04_{-0.03}^{+0.03} 0.520.03+0.03-0.52_{-0.03}^{+0.03}
HD 177410 1.12318 B9 0.03 6.50 -0.959 5.1153±0.03665.1153\pm 0.0366 0.040.01+0.020.04_{-0.01}^{+0.02} 0.420.01+0.020.42_{-0.01}^{+0.02}
HD 184020 2.5515 A0 0.02 8.16 -0.448 5.0175±0.03595.0175\pm 0.0359 1.660.01+0.021.66_{-0.01}^{+0.02} 1.620.01+0.021.62_{-0.01}^{+0.02}
HD 184905 1.84548 A0 0.04 6.61 -0.709 5.0323±0.03015.0323\pm 0.0301 0.120.01+0.010.12_{-0.01}^{+0.01} 0.230.01+0.010.23_{-0.01}^{+0.01}
HD 191287 1.62342 B9 0.18 8.17 -0.569 3.4259±0.03013.4259\pm 0.0301 0.840.02+0.020.84_{-0.02}^{+0.02} 0.930.02+0.020.93_{-0.02}^{+0.02} Ideal
HD 195447 5.3970 B9 0.03 7.57 -0.492 2.2576±0.05632.2576\pm 0.0563 0.660.06+0.05-0.66_{-0.06}^{+0.05} 0.770.06+0.05-0.77_{-0.06}^{+0.05}
HD 196542 1.7929 A4 0.02 9.04 -0.550 2.6255±0.01622.6255\pm 0.0162 1.140.01+0.011.14_{-0.01}^{+0.01} 0.660.01+0.010.66_{-0.01}^{+0.01}
HD 205938 8.335 B9 0.05 6.46 -0.617 4.4302±0.03264.4302\pm 0.0326 0.310.02+0.02-0.31_{-0.02}^{+0.02} 0.110.02+0.02-0.11_{-0.02}^{+0.02} Ideal
HD 207188 2.6735 A0 0.06 7.66 -0.858 3.4180±0.04673.4180\pm 0.0467 0.330.03+0.030.33_{-0.03}^{+0.03} 0.610.03+0.030.61_{-0.03}^{+0.03}
HD 213871 1.95070 B9 0.05 7.38 -0.536 3.5779±0.06633.5779\pm 0.0663 0.150.04+0.040.15_{-0.04}^{+0.04} 0.130.04+0.040.13_{-0.04}^{+0.04} Strong
HD 220668 6.1606 A0 0.09 7.64 -0.564 2.4295±0.02772.4295\pm 0.0277 0.430.03+0.02-0.43_{-0.03}^{+0.02} 0.380.03+0.02-0.38_{-0.03}^{+0.02}
HD 221394 2.8600 A0 0.04 6.39 -0.456 7.0059±0.03337.0059\pm 0.0333 0.620.01+0.010.62_{-0.01}^{+0.01} 0.540.01+0.010.54_{-0.01}^{+0.01} Strong
HD 223660 2.8258 B8 0.03 8.09 -0.507 2.2318±0.03962.2318\pm 0.0396 0.170.04+0.04-0.17_{-0.04}^{+0.04} 0.120.04+0.04-0.12_{-0.04}^{+0.04}
HD 224166 3.5139 B9 0.02 6.93 -0.565 2.9238±0.04042.9238\pm 0.0404 0.740.03+0.03-0.74_{-0.03}^{+0.03} 0.620.03+0.03-0.62_{-0.03}^{+0.03}
TYC 2850-263-1 12.440 A 0.01 9.79 -0.038 3.9682±0.01893.9682\pm 0.0189 2.780.01+0.012.78_{-0.01}^{+0.01} 1.600.01+0.011.60_{-0.01}^{+0.01}

5 HR Diagrams of UCBH Stars

The precision and comprehensive sky coverage of Gaia parallaxes (Gaia Collaboration et al., 2016) are revolutionizing Galactic stellar astrophysics, and our UCBH stars are no exception. Figure 7 shows observers’ HR diagrams of our UCBH stars against a background plot of about 10510^{5} high Galactic latitude stars which outline the main sequence and the giant branch. We used gzg-z colors to obtain strong wavelength leverage and reduce sensitivity to the known photometric variability of these stars. Magnitudes are taken from Tonry et al. (2018b), where we have determined VV magnitudes from gg and rr using Equation 1, which comes from a transformation derived by Robert Lupton444http://classic.sdss.org/dr4/algorithms/sdssUBVRITransform.html. This transformation should be valid through the whole range of stellar colors and spectral types relevant to this paper, since it is based on Peter Setson’s photometric standard stars555See, e.g., https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/en/community/STETSON/, which span BVB-V colors ranging from -0.4 to +3.5 mag: i.e., the entire range of ordinary stars from spectral types O and B through late-M.

V=g0.5784(gr)0.0038V=g-0.5784*(g-r)-0.0038 (1)

For the UCBH stars, we have used parallaxes from Gaia Data Release 3 (DR3; Gaia Collaboration et al., 2022), while for the gray background points in Figure 7 we have used the parallaxes in the photometric catalog of Tonry et al. (2018b), which come from Gaia Data Release 2 (DR2; Gaia Collaboration et al., 2018).

Refer to captionRefer to caption

Figure 7: HR diagrams for UCBH stars for V-band absolute magnitude (left) and K-band (right). Absolute magnitudes of UCBH stars are based on fluxes from Tonry et al. (2018b) and parallaxes from Gaia DR3 (Gaia Collaboration et al., 2016, 2021, 2022). Green rectangles illustrate the regions of each diagram from which objects were selected as probable α2\alpha^{2} CVn stars for inclusion in Table 1. The dark red arrow in each figure indicates the direction a star moves as it becomes increasingly dust-reddened. While classification is not definitive without spectra, the vast majority (>90>90%) of stars within the green rectangles, as well as some objects that lie outside of them but along the reddening vectors, should be α2\alpha^{2} CVn objects. The distribution of UCBH stars from Bernhard et al. (2020) is consistent with the expectation that these nearer objects should be less reddened. Small gray points illustrate the Galactic field population using data from Tonry et al. (2018b).

Figure 7 shows a large range of colors even for the UCBH stars that we have confidently determined to be A or late B-type α2\alpha^{2} CVn stars. Furthermore, they are mostly redder and less luminous than nearby main sequence stars with early A spectral types. To determine if this can be plausibly attributed to dust reddening and extinction, we used the interstellar extinction coefficients provided in Table 21.6 of Cox (2000) for RV=3.1R_{V}=3.1. Since this table does not provide coefficients for the gg and zz bands we chose for our colors, we interpolated it to the effective wavelengths given for these bands by Bessell (2005). Hence, we arrived at interstellar extinction coefficients (relative to the VV band) of 1.2426 for gg, 0.4930 for zz, and 0.108 for KK. From these, we calculated the reddening vectors plotted in both panels of Figure 7. These vectors indicate the direction a star moves on the figure as it becomes increasingly dust-reddened. We set the origin of each vector at the position of an un-reddened A2V star, intended to be characteristic of a ‘typical’ α2\alpha^{2} CVn star unaffected by dust extinction — hence, we expect reddened stars of A or late B-type to fall along the reddening vector in each plot.

Refer to caption
Figure 8: Venn diagram illustrating that most UCBH stars appear to be α2\alpha^{2} CVn variables, although only a minority of known α2\alpha^{2} CVn variables have UCBH-type lightcurves. Since we have spectra for only fourteen out of 98 UCBH stars, the dividing line between α2\alpha^{2} CVn variables and either hotter or cooler UCBH stars is based on simple color cuts on the oco-c color obtained from ATLAS lightcurves. Hence, the counts are very approximate and could be affected by interstellar reddening, both here and in Tables 1 and 2 where there same color cuts have been used.

The reddening vectors plotted in Figure 7 indicate that our α2\alpha^{2} CVn UCBH stars all have colors and absolute magnitudes close to what would be expected for reddened main sequence stars of early A-type (or late B-type). The amount of interstellar extinction implied varies greatly from star to star, but approaches two magnitudes at VV band for our reddest spectrally confirmed α2\alpha^{2} CVn stars. By contrast, the much nearer sample of UCBH stars from Bernhard et al. (2020) are consistent with A or late B-type stars with near-zero dust extinction — as we should expect given their much smaller distances relative to the ATLAS UCBH stars. There may be an indication that the ATLAS UCBH stars are slightly underluminous (they tend to lie slightly below the line of the reddening vector), but we cannot conclude this with confidence given our rather simplistic reddening correction.

We have used Figure 7 as a guide to the range of color and absolute magnitude inhabited by UCBH stars that are also A or late-B type α2\alpha^{2} CVn variables. We have selected the range -1.0 to 0.8 in gzg-z color, and absolute magnitude thresholds of 3.0 for MVM_{V} and 1.5 for MKM_{K}, indicated by green dashed rectangles in Figure 7. We believe most of the UCBH stars in these regions of the HR diagrams will also be α2\alpha^{2} CVn variables. Interlopers are possible, for example from less-reddened and slightly overluminous objects of later spectral types. However, the fact that no such interlopers were identified among our spectral sample of ten objects suggests they will be a small minority. Similarly, Figure 7 indicates that many of the UCBH stars redder than our limit of gz=0.8g-z=0.8 would also be perfectly consistent with strongly reddened α2\alpha^{2} CVn variables. Some of them almost certainly are exactly that. However, objects beyond our red limit could also be less reddened evolved stars ascending the giant branch, and hence we believe gz=0.8g-z=0.8 is a good provisional limit to maintain a fairly pure sample in the absence of spectra for most of the stars. The green rectangles drawn in Figure 7 therefore mark the boundary between stars listed as probable α2\alpha^{2} CVn variables in Table 1 and those listed as probably something else in Table 2. Figure 8 gives a Venn Diagram of the respective classifications.

6 Discussion and Conclusion

Using photometry from the ATLAS survey (Tonry et al., 2018a), we have identified a rare population of periodic variable stars (the ‘UCBH’ stars) with characteristic lightcurves having broad minima, narrow, symmetrical maxima, and periods mostly in the range of 1–10 days. Among 142 million distinct stars analyzed in ATLAS DR1 (Heinze et al., 2018), only 98 are identified as UCBH stars. Though the relatively low amplitudes of the UCBH stars mean we could have identified them only among the brightest 20\sim 20% of the DR1 sample, the fact that we found fewer than 100 in all shows they are extremely rare. Our spectroscopy of these objects indicates that most (75\sim 75%) of them are α2\alpha^{2} CVn variables — that is, Ap/Bp stars that show rotationally modulated photometric variations. Although most UCBH stars are α2\alpha^{2} CVn variables, only a minority (10–15%) of α2\alpha^{2} CVn variables appear to be UCBH stars. Meanwhile, α2\alpha^{2} CVn stars themselves are only a subset of the Ap/Bp stars, which in turn comprise a small fraction of all A-type and B-type stars.

We have demonstrated that a single bright feature at low latitude on a rotating star will produce a UCBH-type lightcurve, by geometrical necessity (Figure 2), for the most probable viewing inclinations. Hence, if the Milky Way contains a non-negligible population of stars with bright low-latitude features, they should be represented among our UCBH objects. The fact that most UCBH stars are α2\alpha^{2} CVn variables suggests that the dominant astrophysical effect that can produce such a feature is connected to the α2\alpha^{2} CVn stars — i.e., to the peculiar abundances of heavy elements that characterize them. Before discussing the physical connection between α2\alpha^{2} CVn variables and UCBH stars in more detail in Section 6.2, we briefly consider the UCBH stars that do not fall into the α2\alpha^{2} CVn class.

6.1 UCBH stars that are NOT α2\alpha^{2} CVn variables

The single localized bright spot that most simply explains a UCBH-type lightcurve could be produced by phenomona not related to the α2\alpha^{2} CVn stars. One example is an accretion stream impacting a stellar photosphere. This may be the explanation for some UCBH stars — notably the hot subdwarf PG 1348+369 (Green et al., 1986; Wesemael et al., 1992).

An approximately even longitudinal distribution of dark star spots with a prominent gap could also produce a UCBH-type rotationally modulated lightcurve (Figure 2), with the ‘missing’ dark spots of the gap functioning like a single bright feature. While α2\alpha^{2} CVn stars are too hot for the ordinary form of dark magnetic starspots, this scenario may apply to the significant minority (22 out of 98 in the ATLAS sample; see Figure 8) of UCBH stars with much later spectral types — a hypothesis which is further bolstered by the detection of strong Hα\alpha emission in all three of the late-type UCBH stars for which we have spectra. Such emission is characteristic of late type stars that are magnetically active and heavily spotted.

While late-type UCBH stars exist, the variability we observe in A-type or B-type UCBH stars cannot reasonably be attributed to an unresolved late-type companion. Such a companion would have to be several times fainter than the primary to escape detection in our spectra, implying a very large-amplitude photometric variation for the late-type star itself. If late-type stars commonly had high-amplitude UCBH-type lightcurves, they should be much easier to detect in the field than as binary companions to brighter A stars that would dilute their photometric amplitudes. In this case, isolated late-type stars, being far more numerous than A-type or B-type stars, should dominate our UCBH sample — the opposite of what we observe. Additionally, it would be a strange coincidence if late-type UCBH companions were found only around chemically peculiar A-type primaries. Furthermore, the literature contains many examples of UCBH-type variations in α2\alpha^{2} CVn stars (Section 1.2), and these stars are known to exhibit correlated spectral variations that clearly implicate the Ap/Bp star itself — rather than a hypothetical late-type companion — as the photometric variable.

In short, although a tiny minority of late-type stars do exhibit UCBH-type lightcurves, there is no doubt that the UCBH variations we observe in Ap/Bp stars originate from the bright stars themselves and not from an unresolved late-type companion.

6.2 UCBH stars that ARE α2\alpha^{2} CVn variables

A large majority (73 out of 98) of the ATLAS UCBH stars appear to be α2\alpha^{2} CVn variables — that is, Ap/Bp stars with rotationally modulated photometric variability. The Ap/Bp stars are chemically peculiar A-type or B-type stars with greatly enhanced abundances of specific heavy elements in their photospheres. The enhanced abundances are believed to be caused by radiative levitation of the heavy elements in question (Michaud, 1970), which is strongly influenced (and likely enabled) by magnetic fields (Michaud et al., 1981).

The rotationally modulated variability of α2\alpha^{2} CVn variables results from inhomogeneous distributions of the radiatively levitated elements across the stars’ photospheres (Shulyak et al., 2010). For such a star, the single bright feature implied by a UCBH lightcurve is naturally interpreted as the region where the concentration of radiatively levitated heavy elements is the highest. Such a region is bright at optical wavelengths because the strong UV absorption lines of the levitated elements redistribute the star’s intense UV flux into the optical (Michaud et al., 1981). This single region of greatly enhanced heavy element abundance likely owes its existence to a particular configuration of the magnetic field.

The expected causal connection between the magnetic field and the rotational light curve implies that the α2\alpha^{2} CVn variables that share UCBH-type light curves may also have similar magnetic field topologies. In this context, it is interesting that the lightcurves of some α2\alpha^{2} CVn UCBH stars show a small ‘bump’ or secondary maximum in the center of the broad, nearly flat minimum. These include ATO J010.7230+57.8087, ATO J110.9074-12.0800, and others in the ATLAS sample — and also examples from the literature such as HD 207188 (Hensberge et al., 1977) and HD 54118 (Catalano & Leone, 1993). A photometric ‘bump’ of this type would naturally be produced by a secondary bright spot at the antipode of the one responsible for the primary maximum. The greatly reduced photometric signature of this antipodal spot could be an effect of latitude. For example, if the two bright features were at stellar latitudes of +30+30^{\circ} and 30-30^{\circ}, respectively, and the sub-observer latitude were +30+30^{\circ}, we would observe the primary bright feature to pass directly across the center of the stellar disk, producing a maximal photometric signature, while the antipodal feature would barely come into view and would create a greatly reduced photometric ‘bump’ half a rotation later — exactly what we observe in some objects. However, the fact that many lightcurves do not show a secondary photometric ‘bump’ suggests that latitude is not the only effect: if antipodal spots are always present, they must be much smaller/fainter than the primary spot in many cases.

Particularly since there is sometimes evidence of an antipodal spot, it is tempting to conclude that the UCBH lightcurves imply a simple magnetic topology such as a dipole field. However both theory (Michaud et al., 1981) and Zeeman Dopper observations (Kochukhov & Wade, 2010; Kochukhov et al., 2015) point to a complex relationship between magnetic field configurations and inhomogeneity in the heavy element enhancements. For example, some elements concentrate where the magnetic field lines are vertical and some where they are horizontal (Michaud et al., 1981). Hence, conclusions that the UCBH stars have simple magnetic fields — or even that they all have the same magnetic topology — may be unwarranted.

Nevertheless, the shared UCBH-type light curve shape of many α2\alpha^{2} CVn stars does suggest some commonality in the magnetic field distribution. This could make them interesting targets for Zeeman Doppler imaging and elemental abundace mapping — especially since the ATLAS UCBH stars have photometric amplitudes larger than average for α2\alpha^{2} CVn variables, likely indicating large and easy-to-measure spatial variations in the magnetic field and elemental abundances. Since the ATLAS UCBH stars are several magnitudes fainter than typical targets of Zeeman Doppler imaging, we have sought and identified 33 UCBH stars among the much brighter sample of α2\alpha^{2} CVn variables published by Bernhard et al. (2020). Most of these have substantially smaller photometric amplitudes than the ATLAS UCBH stars, but there are exceptions. The most promising of these — bright, high-amplitude variables with perfect UCBH light curves — are HD 191287, HD 77314, and HD 205938 (see Table 4 and Bernhard et al., 2020). These stars are ideal targets for Zeeman Doppler imaging and other forms of high-resolution spectroscopic investigation to probe the detailed astrophysics behind the UCBH-type light curves of α2\alpha^{2} CVn variables.

7 Acknowledgments

This publication presents discoveries made by the Asteroid Terrestrial-Impact Last Alert System (ATLAS). Support for the ATLAS survey is provided by NASA grants NN12AR55G and 80NSSC18K0284 under the guidance of Lindley Johnson and Kelly Fast.

This research is based on observations obtained at the international Gemini Observatory, a program of NSF’s NOIRLab, which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation on behalf of the Gemini Observatory partnership: the National Science Foundation (United States), National Research Council (Canada), Agencia Nacional de Investigación y Desarrollo (Chile), Ministerio de Ciencia, Tecnología e Innovación (Argentina), Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brazil), and Korea Astronomy and Space Science Institute (Republic of Korea). These observations were obtained under Gemini Program ID GN-2018B-Q-216.

This work was enabled by observations made from the Gemini North telescope and the University of Hawaii 2.2 meter telescope, both located within the Maunakea Science Reserve and adjacent to the summit of Maunakea. We are grateful for the privilege of observing the Universe from a place that is unique both for its astronomical quality and for its place in Hawaiian indigenous culture.

We thank Simon Murphy for helping us realize that our mysterious objects were α2\alpha^{2} CVn stars, and for giving us guidance about which elements were likely responsible for the peculiar spectral lines we observed.

This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.

This publication makes use of the SIMBAD online database, operated at CDS, Strasbourg, France, and the VizieR online database (see Ochsenbein et al. (2000)).

This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation.

We have also made extensive use of information and code from Press et al. (1992).

Facilities: Gemini North, UH88

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