Abstract
We present the discovery of rapid photometric variability in three ultra-cool dwarfs from long-duration monitoring with the Spitzer Space Telescope. The T7, L3.5, and L8 dwarfs have the shortest photometric periods known to date: hr, hr, and hr, respectively. We confirm the rapid rotation through moderate-resolution infrared spectroscopy, which reveals projected rotational velocities between 79 and 104 km s−1. We compare the near-infrared spectra to photospheric models to determine the objects' fundamental parameters and radial velocities. We find that the equatorial rotational velocities for all three objects are ≳100 km s−1. The three L and T dwarfs reported here are the most rapidly spinning and likely the most oblate field ultra-cool dwarfs known to date. Correspondingly, all three are excellent candidates for seeking auroral radio emission and net optical/infrared polarization. As of this writing, 78 L-, T-, and Y-dwarf rotation periods have now been measured. The clustering of the shortest rotation periods near 1 hr suggests that brown dwarfs are unlikely to spin much faster.
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1. Introduction
Variability in ultra-cool dwarfs (spectral types >M7; Kirkpatrick et al. 1997) is caused by large-scale atmospheric structures, such as spots or longitudinal bands (Artigau et al. 2009; Radigan et al. 2014; Apai et al. 2017). As inhomogenities rotate in and out of view, they change the object's observed flux on the timescale of the rotation period (Tinney & Tolley 1999; Bailer-Jones 2002). The largest and most sensitive ultra-cool dwarf monitoring surveys (e.g., Radigan et al. 2014; Radigan 2014; Buenzli et al. 2014; Metchev et al. 2015) have found that variability is common across L and T dwarfs. Metchev et al. (2015) estimate that of L3–L9.5 and of T0–T8 dwarfs are variable at >0.4%. The rotational periods inferred for L and T dwarfs range over at least an order of magnitude: from 1.4 hr (Clarke et al. 2008) to likely longer than 20 hr (Metchev et al. 2015). Spectroscopic observations have shown that many ultra-cool dwarfs have relatively large projected rotational velocities (v sin i ≥ 10 km s−1; Basri et al. 2000; Mohanty & Basri 2003; Zapatero Osorio et al. 2006; Reiners & Basri 2008, 2010; Blake et al. 2010; Konopacky et al. 2012), and in some cases rotate at ∼30% of their break-up speed (e.g., Konopacky et al. 2012). Ultra-cool dwarfs with halo kinematics also exhibit rapid rotation (Reiners & Basri 2006), indicating that they maintain relatively large rotational velocities during their entire lifetimes.
In this paper we present the discovery of three ultra-cool dwarfs with the shortest known photometric—and likely rotational—periods. In Section 2 we present our photometric monitoring with the Spitzer Space Telescope and the discovery of the short periodicities. In Section 3 we present moderate-resolution infrared spectroscopy to confirm the rapid rotation of each target. In Section 4 we fit photospheric models to the spectra to determine the objects' projected rotational velocities and physical parameters, and find the highest v sin i value yet reported for ultra-cool dwarfs. We discuss the objects' rapid spins and oblateness in Section 5. Our findings are summarized in Section 6.
2. Spitzer Photometry, Variability, and Periods
The photometric observations were obtained as part of the GO 11174 (PI: S. Metchev) Spitzer Exploration Science Program, "A Paradigm Shift in Substellar Classification: Understanding the Apparent Diversity of Substellar Atmospheres through Viewing Geometry." The program targeted 25 of the brightest known L3–T8 dwarfs to complement our earlier sample of 44 photometrically monitored L and T dwarfs (Metchev et al. 2015) and to investigate viewing geometry effects on photometric variability and brown dwarf colors. A full description of the program will be presented in a later publication.
We focus on three variables from the GO 11174 Spitzer program with photometric periods shorter than the shortest previously known: the 1.41 ± 0.01 hr period of 2MASS J22282889−4310262 (Clarke et al. 2008; Buenzli et al. 2012; Metchev et al. 2015). Our targets are: the L3.5 dwarf 2MASS J04070752+1546457 (Reid et al. 2008; herein 2MASS J0407+1546), the L8 dwarf 2MASS J12195156+3128497 (Chiu et al. 2006; herein 2MASS J1219+3128), and the T7 dwarf 2MASS J03480772−6022270 (Burgasser et al. 2003; herein 2MASS J0348−6022).
2.1. Warm Spitzer Observations
We observed the three objects in staring mode with Spitzer's Infrared Array Camera's (IRAC; Werner et al. 2004; Fazio et al. 2004) channels 1 (3.6 μm, [3.6]) and 2 (4.5 μm, [4.5]). The dates of the observations are given in Table 1. The observing sequence was a 10 hr staring observation in channel 1, followed immediately by a 10 hr staring observation in channel 2. All exposures were 12 s long, taken in full-array readout mode. At the beginning of each staring sequence an additional 0.5 hr were used for pointing calibration with the Pointing Calibration and Reference Sensor (PCRS). The PCRS peak-up procedure is intended to correct telescope pointing over long staring observations. We used nearby bright stars for peak-up, as none of our targets were sufficiently bright to perform the peak-up on-target.
Table 1. Spitzer Photometry and Results from Markov Chain Monte Carlo Analysis of Periods and Peak-to-trough Amplitudes
Object | Spectral | Date | [3.6] | [4.5] | Variable | Period c | Amplitude | Amplitude |
---|---|---|---|---|---|---|---|---|
Type a | Observed | (mag) | (mag) | Channel b | (hr) | in Variable | Ratio d | |
Channel c (%) | ||||||||
2MASS J04070752+1546457 | L3.5 | 2015 Apr 26 | 12.83 ± 0.01 | 12.91 ± 0.01 | [3.6] | 1.23 [1.22, 1.24] | 0.36 [0.24, 0.46] | <1.2 |
2MASS J12195156+3128497 | L8 | 2015 Sep 16 | 13.40 ± 0.02 | 13.26 ± 0.02 | [3.6] | 1.14 [1.13, 1.17] | 0.55 [0.42, 0.69] | <0.53 |
2MASS J03480772−6022270 | T7 | 2015 Apr 22 | 14.36 ± 0.03 | 12.86 ± 0.02 | [4.5] | 1.080 [1.075, 1.084] | 1.5 [1.4, 1.7] | <0.58 |
Notes.
a Spectral type references, in row order: Reid et al. (2008); Chiu et al. (2006); Burgasser et al. (2003). b Each target varies in only one of the two Spitzer IRAC channels. c Square brackets denote the 2σ confidence intervals on the periods and aplitudes determined from our MCMC analysis (Section 2.3). d This is the 2σ upper limit on the amplitude ratio between the two channels. The ratio is of the non-variable channel to the variable channel.Download table as: ASCIITypeset image
The Spitzer IRAC detector is subject to intrapixel sensitivity variations, known as the "pixel phase effect" (Reach et al. 2005). Precise photometry requires correcting for an object's positioning to sub-pixel precision. The pixel phase effect is well characterized in a 0.5 × 0.5 pixel (06 × 06) "sweet spot" (Mighell et al. 2008) near a corner of the IRAC array, and flux correction routines are available at the Spitzer Science Centre IRAC High Precision Photometry website. 13
We sought to acquire our targets as closely as possible to the center of the IRAC sweet spot. We used observation epoch-dependent positional corrections for proper and parallactic motions derived from a 2MASS–AllWISE cross-correlation. However, we were not entirely successful. The average centroid position for each of our three targets was up to a pixel away from the center of the sweet spot: i.e., twice its half-width. We therefore used our own custom pixel phase correction code (Heinze et al. 2013) developed for the Spitzer Cycle 8 "Weather on Other Worlds" program (Metchev et al. 2015) and summarized in Section 2.2. Experiments with archival Spitzer GO 13067 data on TRAPPIST-1, which were acquired on the sweet spot, confirmed that for point sources at least as bright as TRAPPIST-1 (WISE W1 = 10.07 mag), our pixel phase correction approach is at least as accurate as the set of sweet spot pixel phase corrections on the IRAC High Precision Photometry website.
2.2. Photometry and Initial Variability Assessment
We conducted a two-stage photometric and variability assessment, using the Spitzer Basic Calibrated Data images. We first performed approximate [3.6]- and [4.5]-band photometry in 1.5 pixel-radius apertures with the IDL Astronomy User's Library task aper. We applied the corresponding aperture correction from the IRAC Instrument Handbook, and a custom pixel phase correction derived as a two-dimensional quadratic function of the centroid position on the detector. 14
We identified variable targets by Lomb–Scargle periodogram analysis (Scargle 1982), sampling periods between 0.1 hr and the full 20 hr duration of our Spitzer observations. We use the p-value, a measure of the likelihood that any variations are caused by random noise, to determine the significance of the periodogram peaks. The p-value is , where P is the periodogram power of the highest peak, and M is the number of independent periods considered (Scargle 1982; Press et al. 1992). Relative to other non-variable field stars, a sinusoidal signal yields the lowest p-value at a given amplitude, making it ideal for detecting rotation-induced photometric variations. We determined a threshold to identify variables by calculating the p-value from pixel phase-corrected light curves of 469 field stars in the IRAC field of view for our full Spitzer sample, with obvious variables (e.g., eclipsing binaries) rejected by visual inspection. We split the field stars into two equal-sized groups based on their magnitudes. From the full Spitzer sample, we selected as candidate variables those L and T dwarfs for which the p-value was below that of 95% of field star p-values. The p-values of the current three L and T dwarfs and of the field stars are shown in Figure 1. The relevant thresholds are shown as dashed horizontal lines.
The most significant periodogram peaks above the p-value threshold for our three targets are in the 1.1–1.2 hr range (Figure 2). In all three cases, significant periodicity is detected in only one of the two Spitzer IRAC channels: at [3.6] for the L dwarfs 2MASS J0407+1546 and 2MASS J1219+3128 and at [4.5] for the T dwarf 2MASS J0348–6022.
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Standard image High-resolution imageAt this stage of our analysis, the applied pixel phase correction is not in the final form presented in Section 2.3. The preliminary periodicities are potentially affected by Spitzer's known pointing "wobble." The telescope's boresight follows a small sawtooth quasi-periodic oscillation with a mostly sub-hour timescale: the result of heater cycling to maintain adequate battery temperature (Grillmair et al. 2012, 2014). The amplitude of the pointing oscillation, up to 0.4 pix, can be sufficiently high to impact photometric measurements because of the pixel phase effect. During 2015, when our observations were taken, the mean pointing oscillation period was 49 minutes, with an inner quartile range of 43 minutes to 54 minutes (Krick et al. 2018). However, a small fraction of year 2015 observations in the Spitzer archive have pointing oscillation periods up to 80 minutes, similar to the 1.1–1.2 hr long periods identified in our periodograms (Figure 2).
We do not believe that Spitzer's pointing wobble is responsible for the detected 1.1–1.2 hr periodicities for three reasons. First, we expect roughly similar pixel phase-induced behavior of all point sources in our target fields. Therefore, by setting a global 95% p-value threshold in our preliminary analysis, we select for variability beyond what may be incurred by the pointing wobble. Second, in Section 2.3 we describe a more sophisticated photometric analysis that includes an astrophysical variability and a pointing oscillation model, and we clearly identify the wobble separately from the astrophysical periods. Finally, in Section 4 we confirm that the rapid rotations implied by such short periods are expressed as wide Doppler line broadening in moderate-dispersion spectra of our three science targets.
2.3. Simultaneous Fitting for Pixel Phase and Astrophysical Variability
Having identified candidate variables among the science targets with approximate photometry, we iterated our variability assessment with higher-precision photometry. We determined the optimal aperture for each object by seeking the lowest root-mean-square scatter in the measured fluxes. The optimal apertures in the [3.5]- and [4.5]-band data respectively were 1.4 and 2.1 pixels for 2MASS J0348–6022, 1.4 and 2.0 pixels for 2MASS J1219+3128, and 1.5 and 2.1 pixels for 2MASS J0407+1546. We binned the photometry in groups of 10 consecutive measurements to lower the random noise. Our binning interval of 120 s still ensures fast enough sampling to retain sensitivity to the hour-long timescales of interest. We incorporated the initial period estimates from Section 2.2 in an iterative least-squares method to simultaneously fit an astrophysical model (a truncated Fourier series) and a correction for the pixel phase effect in both channels (Heinze et al. 2013). We show the raw and corrected Spitzer light curves for our three targets in the left panel of Figure 3.
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Standard image High-resolution imageThe raw photometry in Figure 3 shows the sawtooth pointing oscillation of Spitzer in the light curves of two of the three science targets. The effect is present mostly throughout the [3.6]- and [4.5]-band staring observation of 2MASS J1219+3128 (middle-left panel of Figure 3), with a sawtooth-like pattern that repeats 10 times over 10 hr at [3.6]. The corresponding 60 minute timescale of the sawtooth pattern is distinct from the 68 minute astrophysical period seen in the corrected [3.6]-band light curve. The latter half of the [3.6]-band observation of 2MASS J0348–6022 also shows sawtooth variations on a 60 minute timescale. However, no astrophysical variability is detected in 2MASS J0348–6022 at [3.6]. This T7 dwarf is variable only at [4.5], where no effect of the sawtooth pattern is seen.
We further verified that there is no residual periodicity effect from the pointing wobble by confirming that there is no correlation between the flux and centroid position on the detector after correcting our photometry for pixel phase (Figure 4). We computed Pearson correlation coefficients of between flux and centroid position for each object and Spitzer channel. We conclude that Spitzer's pointing oscillation is not the cause of the variability we observe.
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Standard image High-resolution imageWe adopt the results from the simultaneous astrophysical and pixel phase model as the true periods and peak-to-trough amplitudes of our variables, rather than the preliminary results from the periodogram fitting shown in Figure 2. In all three cases the final and the preliminary periods agree to within 1%, and the periodogram power of the significant peaks increased for the final, corrected data. From our best-fit astrophysical model, the two L dwarfs require only a single Fourier term for an adequate light-curve fit. The T7 dwarf 2MASS J0348–6022 requires a two-term Fourier fit, and so both significant peaks seen in the [4.5]-periodogram (Figure 2) are astrophysical in nature. However, the higher-frequency oscillation is less significant, and is a harmonic at half the period: 0.54 hr versus 1.08 hr. It may indicate a two-spot configuration on opposite hemispheres of the T dwarf.
We use a Markov chain Monte Carlo (MCMC) analysis, as described in Section 3.4 of Heinze et al. (2013), to determine the uncertainties on the periods and the amplitudes. We fit the [3.6] and [4.5] photometry simultaneously, by requiring the same period but different amplitudes for the two channels. Since in all cases only one of the channels shows significant variability, we set 2σ upper limits on the amplitude ratios of the "non-variable" channels to the variable channels.
The periods of the T7, L3.5, and L8 dwarfs range between 1.08 hr and 1.23 hr: faster than any measured before (see Section 5). We show the phase-folded light curves in the variable channel for each target in the right panel of Figure 3. The object names, spectral types, magnitudes, variable channels, photometric periods, peak-to-trough amplitudes, and amplitude ratios are listed in Table 1.
2.4. Discussion of Photometric Variability: Periods and Mechanisms
Two of our three targets have been previously reported as potential variables. For 2MASS J1219+3128 (L8), Buenzli et al. (2014) find a lower limit of 2% on the variability amplitude in a 1.12–1.20 μm subset of their 1.1–1.7 μm HST/WFC3 spectra, over a 36 minute sequence of nine spectroscopic exposures. However, the variability is not significant over any other part of their 1.1–1.7 μm spectra, and they classify the detection as tentative. For 2MASS J0348−6022 (T7), Wilson et al. (2014) report a J-band amplitude of 2.4% ± 0.5% in a three hour long observation. However, a re-analysis of their NTT/SofI observations by Radigan (2014) shows that the reported variability is likely spurious, and related to residual detector and sky-background systematics. Radigan (2014) revised the J-band variability in the Wilson et al. (2014) observations to a <1.1% ± 0.4% upper limit. Similarly, a 1% upper limit for 2MASS J0348−6022 is deduced from a prior six hour J-band monitoring observation by Clarke et al. (2008), also with NTT/SofI. No variability has been previously reported for 2MASS J0407+1546 (L3.5).
The small periodogram p-values and large periodogram powers (Figures 1 and 2) of our Spitzer observations confidently establish that all three L and T dwarfs exhibit periodic variability. Each of our three targets varies in only one of the two IRAC channels within the photometric precision limits. The two L dwarfs vary only at [3.6], whereas the T7 dwarf varies only at [4.5]. Such behavior is consistent with prior observations of infrared variability trends with spectral type. Metchev et al. (2015) found that five of their 19 variable L3–T8 dwarfs varied only at [3.6] (two L3s, two L4s, and a T2), and one (T7) dwarf varied only at [4.5]. Single-band [3.6] variations in an L dwarf have also been reported by Gizis et al. (2015), while [4.5]-only variations are seen in Y dwarfs (Cushing et al. 2016; Leggett et al. 2016).
Wavelength-dependent amplitude differences are explained by the dominant gas absorption species in the atmosphere. In wavelength regions of strong molecular gas opacity, clouds reside below the photosphere and so cloud heterogeneities are obscured. Cloud structures are detectable only in relatively transparent spectral regions, away from dominant molecular bands (e.g., Ackerman & Marley 2001). With CO being a dominant source of upper-atmosphere gas opacity in L dwarfs, cloud condensate-induced variability will be suppressed around the 4.5 μm fundamental CO band (i.e., in IRAC channel 2). Conversely, variability around the 3.3 μm CH4 fundamental band (within IRAC channel 1) will be suppressed in T dwarfs.
Alternative variability mechanisms that do not require clouds have also been proposed. Such scenarios do not imply that clouds may not exist at all in the atmospheres of brown dwarfs, just that they are not responsible, or not entirely responsible, for the observed variability. For example, some variable brown dwarfs show radio emission that may be best explained as auroral in nature (e.g., Antonova et al. 2008; Hallinan et al. 2015; Kao et al. 2018). Richey-Yowell et al. (2020) correlate such auroral signatures with the presence of Hα emission. One of our three variables, the L3.5 dwarf 2MASS J0407+1546, is a strong Hα emitter (equivalent width of 60 Å; Reid et al. 2008). While Miles-Páez et al. (2017a) find no correlation between Hα emission and large-amplitude (≳1%) variations (a result also confirmed by Richey-Yowell et al. 2020), the more subdued 0.36% variation in 2MASS J0407+1546 could well be magnetic in origin.
Robinson & Marley (2014) propose atmospheric temperature fluctuations as a potential cause of photometric variability. They show that thermal perturbations occuring deep in the atmosphere can cause surface brightness fluctuations at infrared wavelengths. Tremblin et al. (2015, 2020) show that fingering convection in a cloudless atmosphere can also result in variability. Ultimately, the observations that we present are not decisive of the variability mechanism, and our focus is instead on the short rotation periods.
The periodic regularity seen in the light curves of our three targets (Figure 3) argues for one (2MASS J0407+1546, 2MASS J1219+3128) or two (2MASS J0348−6022) dominant photospheric spots. An alternative interpretation of these data is that we are seeing a repeating spot pattern extended along a band on a more slowly rotating object, e.g., as in the case for Jupiter (de Pater et al. 2016). Additionally, Apai et al. (2017) show that the variability of infrared brightness in T dwarfs can be dominated by planetary-scale waves. They find that the combined variability effect of multiple sets of planetary waves or spots may place the periodogram peak at half the true period, or that double peaks may occur near the true rotation period due to differential rotation.
To the sensitivity of our data, none of our objects show the kind of complex light modulations seen in the Apai et al. (2017) T dwarfs. However, Jupiter-like repeated spot patterns remain a possibility. In Sections 3 and 4 we use near-infrared spectroscopy to measure the projected rotation velocities v sin i of our targets and confirm that all three rotate rapidly.
3. Spectroscopic Observations
If our objects are truly rapidly rotating, then their spectroscopic line profiles will be significantly Doppler-broadened, while more slowly rotating objects with repeating spot patterns will not show much line broadening. Herein we report R = 6000–12,000 near-infrared spectroscopy which we use to confirm the rapid rotations and in Section 4 to estimate the objects' fundamental parameters.
We present a previously unpublished spectrum of the T7 dwarf 2MASS J0348−6022 and a new observation of the L8 dwarf 2MASS J1219+3128 at a resolution of 6000 over 0.91–2.41 μm with the Folded-port InfraRed Echellette (FIRE; Simcoe et al. 2008, 2013) at the Magellan Baade telescope. We also observed the L3.5 dwarf 2MASS J0407+1546 at a resolution of 12,000 over 2.275–2.332 μm with the Gemini Near-InfraRed Spectrograph (GNIRS; Elias et al. 2006) at the Gemini North Observatory. The spectroscopic observations are summarized in Table 2.
Table 2. Magellan/FIRE and Gemini North/GNIRS Spectroscopic Observations
Target | Ks | Date | Instrument | Resolution | Exposure | S/N | Target | Telluric | Telluric |
---|---|---|---|---|---|---|---|---|---|
(mag) | Observed | Time | Airmass | Standard | Standard | ||||
(min) | Airmass | ||||||||
2MASS J03480772−6022270 | 15.60 | 2012 Jan 3 | Magellan/FIRE | 6000 | 30.3 | 36 | 1.25–1.27 | HD 28667 | 1.28 |
2MASS J12195156+3128497 | 14.31 | 2017 Feb 16 | Magellan/FIRE | 6000 | 26.6 | 46 | 2.12–2.31 | HD 96781 | 1.98 |
2MASS J04070752+1546457 | 13.56 | 2017 Oct 10 | Gemini North/GNIRS | 12,000 | 80.0 | 29 | 1.07–1.28 | HD 17971 | 1.03 |
Note. Ks magnitudes are from 2MASS (Cutri et al. 2003). The signal-to-noise ratio is the median around the K-band peaks of the FIRE spectra of for 2MASS J0348−6022 (between 2.05 and 2.15 μm) and 2MASS J1219+3128 (between 2.1–2.2 μm), and the median over the full range of the GNIRS spectrum of 2MASS J0407+1546.
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3.1. Magellan/FIRE Spectroscopy: 2MASS J0348−6022 (T7) and 2MASS J1219+3128 (L8)
For our FIRE observations we used the cross-dispersed echelle mode with the 06 (3.3 pixel) slit aligned to the parallactic angle to obtain R ≈ 6000 spectra over 0.91–2.41 μm. We observed 2MASS J0348−6022 on 2012 January 3 (UT) under clear skies with 07 J-band seeing and airmass of 1.25–1.27. We obtained two 909 s exposures, dithered along the slit. We observed the A0 V star HD 28667 (V = 6.87 mag) in four 1 s dithered exposures following the 2MASS J0348−6022 observations at a similar airmass (1.28). We observed 2MASS J1219+3128 on 2017 February 16 (UT) under clear skies with 12–14 J-band seeing and airmass of 2.12–2.31. We obtained four 400 s exposures dithered pair-wise along the slit. We observed the A0 V star HD 96781 (V = 10.2 mag) in six 1 s dithered exposures at a similar airmass (1.96–2.05). For both sets of observations we obtained ThAr emission lamp spectra after each target. We obtained dome and sky flat-field observations at the beginning of each night for pixel response and slit illumination calibration.
The FIRE data were reduced using the Interactive Data Language (IDL) pipeline FIREHOSE v2 (Gagné et al. 2015a), which is based on the MASE (Bochanski et al. 2009) and SpeXTool (Vacca et al. 2003; Cushing et al. 2004) packages. Details for standard reduction of point-source data with FIREHOSE are described in Bochanski et al. (2011). The ThAr lamp images were used to trace the spectral orders and derive pixel response and illumination corrections which were applied to the science frames. A combination of OH telluric lines in the science frames and ThAr emission lamp lines were used to determine the wavelength solution along the center of each order and the order tilt along the spatial direction, so as to construct a two-dimensional vacuum wavelength map. The typical uncertainty of the wavelength solution was 0.20 pixels, corresponding to a precision of 3.0 km s−1. The sky background in each frame was fit with a two-dimensional sky model constructed using basis splines (Kelson 2003), which was then subtracted from the frame. One-dimensional spectra were optimally extracted (Horne 1986) in each order onto a heliocentric wavelength frame. Correction for telluric absorption and overall flux calibration was determined from the A0 V star spectra using a modified version of xtellcor from SpeXtool (Vacca et al. 2003; Cushing et al. 2004). Spectra from the individual frames of the FIRE data were combined for each target after relative flux normalization, and the individual orders were merged into one-dimensional spectra. The resulting reduced spectra are shown in Figure 5 for 2MASS J0348−6022 and in Figure 6 for 2MASS J1219+3128, along with comparison spectra, where data at similar resolution of other objects of the same spectral types were available from the literature. 15
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Standard image High-resolution image3.2. Gemini/GNIRS Spectroscopy: 2MASS J0407+1546 (L3)
Our GNIRS observations of the L3.5 dwarf 2MASS J0407+1546 took place on 2017 October 10 (UT). We followed the same procedure and instrument settings as used by Allers et al. (2016) for radial and rotation velocity measurements of an L dwarf. We used the 111 lines mm–1 grating with the 015 (3.0 pixels) slit aligned to the parallactic angle to obtain R ≈ 12,000 2.27–2.33 μm spectra at an airmass of 1.07–1.28. We obtained eight 600 s exposures, dithered between two positions on the slit. We observed the A0 V star HD 17971 (V = 8.78 mag) for telluric absorption correction in eight 60 s dithered exposures at a similar airmass (1.03) using the same instrument setup. ThAr emission lamp observations were obtained immediately after the 2MASS J0407+1546 observations. The 2MASS J0407+1546 data were reduced using a combination of general and Gemini-specific IRAF routines. Data were prepared, sky-subtracted, and flat-fielded using the Gemini tasks nsprepare, nsreduce, and nsflat. Individual spectra were extracted using apall. The XeAr lamp spectrum was extracted once for each of the science spectra, using the science extraction traces as references, and identify and dispcor were used to identify calibration lines and generate a wavelength solution for each science spectrum. A Legendre polynomial was used with identify, typically of second order. The typical uncertainty in the wavelength calibration was 0.25 pixels, which corresponds to a precision of 2.0 km s−1. The individual wavelength-calibrated spectra were median-combined, and the standard deviation was adopted as the uncertainty. The same reduction steps were repeated for the standard star, and the science spectrum was divided by the standard spectrum to remove telluric lines, and multiplied by a Teff = 9600 K blackbody. The resulting spectrum is shown in Figure 7, along with a comparison spectrum of another L3.5 dwarf. 16
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Standard image High-resolution image4. Confirmation of Rapid Rotations and Determination of Physical Parameters
We compared our spectra to the photosphere models of Saumon & Marley (2008; SM08), Allard et al. (2012; BT-Settl), Morley et al. (2012; Morley), and Marley et al. (2018; Sonora) to determine the physical properties of our objects. All but the BT-Settl models are based on the Ackerman & Marley (2001) cloud model. The model photospheres are provided on fixed grids of effective temperature (Teff) and surface gravity (log g). The SM08 and Morley models also have a sedimentation efficiency (fsed) parameter. The Teff grids are in steps of 100 K for all except the BT-Settl models, which are in 50 K steps, and the log g grids are in steps of 0.5 dex for all except the Sonora models, which are in steps of 0.25 dex.
We also implemented grids for radial velocity (RV) and v sin i in steps of 0.1 km s−1. For the RV we applied a simple Doppler shift to the wavelength of the models. For v sin i we simulated rotational broadening by convolving the model spectra with the standard rotation kernel from Gray (1992) using the lsf_rotate task in the IDL Astronomy User's Library. 17
We first verified the spectral types of our targets by overlaying the spectra of other well-studied L and T dwarfs (Figures 5–7). For each object we restricted the effective temperature grids to 300 K above and below the expected values for each spectral type based on Filippazzo et al. (2015). We did not restrict the log g and fsed (where available) grids.
The quality of the model fits to the full-band FIRE spectra is dominated by the low-order continuum which is mostly affected by the effective temperature and, when using the SM08 and Morley models, the sedimentation efficiency. Instrument systematics may also affect the continuum shape of our Magellan/FIRE spectra that cover a wide (0.91–2.41 μm) wavelength range. Broadband model fits thus preclude us from obtaining accurate information about the RV and v sin i, both of which do not depend on the continuum but entirely on the positioning and profiles of spectral lines. The pressure-broadening effect of surface gravity is also well reflected in the theoretical line profiles, even though surface gravity does affect the continuum of model ultra-cool photospheres.
To extract accurate estimates of RV, v sin i, and log g, we fit models to select narrow-wavelength sub-regions of the FIRE spectra that are dominated by dense sequences of H2O, FeH, or CH4 absorption lines, as marked in Figures 5–7. It is likely that in doing so we may still be affected by wavelength systematics among the theoretical line lists for the different molecules. In addition, the different wavelength sub-regions probe different atmospheric depths and pressures. Hence, a wavelength region where flux originates deeper in the atmosphere could exhibit greater pressure broadening compared to a region where the flux originates higher up. We account for these effects by selecting several different narrow-wavelength regions from the Magellan/FIRE spectra (see Table 3) and, as much as possible, different molecular absorbers. Overall, we find that the values for RV, v sin i, and log g obtained from the narrow-wavelength regions are more self-consistent, with uncertainties 1.5–3 times smaller, than those from the full bands.
Table 3. Best-fit Photospheric Model Parameters for the Narrow-wavelength Regions
Model | Region | Wavelength | Teff | fsed | log g | v sin i | RV | |
---|---|---|---|---|---|---|---|---|
(μm) | (K) | (dex) | (km s−1) | (km s−1) | ||||
2MASS J03480772−6022270 (T7, FIRE data) | ||||||||
BT-Settl | J narrow | 1.260–1.300 | 950 ± 25 | ⋯ | 5.50 ± 0.25 | 102.4 ± 3.9 | −11.8 ± 0.8 | 1.2 |
BT-Settl | H narrow | 1.520–1.562 | 950 ± 25 | ⋯ | 5.00 ± 0.25 | 94.9 ± 1.5 | −14.1 ± 0.9 | 0.9 |
BT-Settl | K narrow | 2.110–2.190 | 700 ± 25 | ⋯ | 4.50 ± 0.25 | 115.4 ± 2.2 | −17.1 ± 1.3 | 2.0 |
Morley | J narrow | 1.260–1.300 | 900 ± 50 | 4 | 5.50 ± 0.25 | 105.7 ± 1.8 | −15.1 ± 0.9 | 1.6 |
Morley | H narrow | 1.520–1.562 | 1000 ± 50 | 5 | 5.50 ± 0.25 | 114.3 ± 2.2 | −18.0 ± 1.0 | 2.1 |
Morley | K narrow | 2.110–2.190 | 800 ± 50 | 5 | 5.00 ± 0.25 | 103.2 ± 1.9 | −16.5 ± 1.3 | 2.1 |
Sonora | J narrow | 1.260–1.300 | 1000 ± 50 | ⋯ | 5.00 ± 0.13 | 96.5 ± 1.5 | −12.6 ± 0.8 | 1.6 |
Sonora | H narrow | 1.520–1.562 | 1000 ± 50 | ⋯ | 5.00 ± 0.13 | 110.7 ± 1.5 | −14.2 ± 0.9 | 1.1 |
Sonora | K narrow | 2.110–2.190 | 800 ± 50 | ⋯ | 4.75 ± 0.13 | 99.6 ± 2.6 | −11.2 ± 1.4 | 2.0 |
Adopted values | ⋯ | ⋯ | ⋯ | 5.1 ± 0.3 | 103.5 ± 7.4 | −14.1 ± 3.7 | ⋯ | |
2MASS J12195156+3128497 (L8, FIRE data) | ||||||||
BT-Settl | H narrow 1 | 1.500–1.550 | 1250 ± 25 | ⋯ | 5.00 ± 0.25 | 77.4 ± 2.6 | −17.2 ± 1.6 | 1.3 |
BT-Settl | H narrow 2 | 1.720–1.780 | 1150 ± 25 | ⋯ | 4.00 ± 0.25 | 85.7 ± 1.4 | −19.0 ± 0.9 | 2.6 |
BT-Settl | K narrow | 1.970–2.055 | 1400 ± 25 | ⋯ | 5.00 ± 0.25 | 76.8 ± 1.4 | −16.6 ± 1.1 | 2.7 |
SM08 | H narrow 1 | 1.500–1.550 | 1400 ± 50 | 4 | 5.50 ± 0.25 | 78.1 ± 2.4 | −19.6 ± 1.4 | 1.4 |
SM08 | H narrow 2 | 1.720–1.780 | 1500 ± 50 | 4 | 5.00 ± 0.25 | 84.3 ± 1.3 | −25.9 ± 0.9 | 2.6 |
SM08 | K narrow | 1.970–2.055 | 1400 ± 50 | 2 | 5.50 ± 0.25 | 77.1 ± 1.5 | −20.0 ± 1.1 | 2.7 |
Adopted values | ⋯ | ⋯ | ⋯ | 5.1 ± 0.5 | 79.0 ± 3.4 | −19.0 ± 4.2 | ⋯ | |
2MASS J04070752+1546457 (L3.5, GNIRS data) | ||||||||
BT-Settl | K | 2.275–2.332 | 1700 ± 25 | ⋯ | 5.00 ± 0.25 | 82.7 ± 0.9 | 43.7 ± 0.9 | 1.0 |
SM08 | K | 2.275–2.332 | 2000 ± 50 | 4 | 5.50 ± 0.25 | 82.4 ± 0.9 | 43.1 ± 0.8 | 1.1 |
Adopted values | ⋯ | 1840 ± 210 | 4 | 5.2 ± 0.4 | 82.6 ± 0.2 | 43.4 ± 2.1 | ⋯ |
Note. Best-fit photospheric model parameters for our three L and T dwarfs over the narrow regions within each FIRE band, and over the entirety of the GNIRS spectrum. We fit each wavelength region independently. We adopt the log g, v sin i, and RV values determined from the narrow wavelength regions of the FIRE spectra of the T7 and L8 dwarfs. The Teff and fsed estimates are adopted from the full-band fits (Table 4), although we include the findings Teff and fsed from the narrow region fitting for completeness. For the GNIRS data of the L3.5 dwarf we adopt all parameters from the wavelength region shown here. The fsed parameter is only applicable to the SM08 and Morley models. The adopted values are the weighted averages for each object, where the weights are , and the uncertainties are the unbiased weighted sample standard deviations (as described in Section 4). The adopted RVs include systematic uncertainties of ±3.0 km s−1 (for the T7 and L8 dwarfs) or ±2.0 km s−1 (for the L3.5 dwarf) added in quadrature to account for the wavelength calibration uncertainties of the FIRE and GNIRS spectra, respectively (Section 3).
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Our approach was first to fit each of the narrow regions to determine RV, v sin i, and log g and then to fit the full bands (z: 0.91–1.11 μm, J: 1.14–1.345 μm, H: 1.48–1.79 μm, and K: 1.96–2.35 μm) to determine Teff and fsed. We adopt the RV, v sin i, and log g values determined from the narrow regions of the FIRE spectra of 2MASS J0348–6022 (T7) and 2MASS J1219+3128 (L8) as the fiducial values for these objects (Table 3). While the narrow-band fits also produce estimates for Teff, the full-band spectra are likely more sensitive to it. Then, in re-applying the models to the full-band spectra, we allow RV and v sin i to vary only within 2σ of the values adopted from the narrow regions. That is, we constrain RV and v sin i within a small range, as they should not effect the determinations of Teff and (where applicable) fsed. We still allow log g to be a free parameter in the full-band fitting because of its stronger effect on the continuum. This mirrors our approach for fitting the narrow regions, where we allow Teff to be a free parameter, even if we adopt the results from the broad regions. In this manner we probe the full parameter space for both log g and Teff in each case, and obtain a more reliable estimate for each. Ultimately, the two sets of determinations for Teff are consistent with each other (Tables 3–5). Estimates for log g tend to be 0.5–1.0 dex higher based on the line profile fits compared to the continuum fits in all models. We favor the former, as they are closer to the fundamental radiative transfer calculations for each species. The latter involve additional considerations of convection and relative chemical abundances.
The spectral range of our Gemini/GNIRS observation of 2MASS J0407+1546 is much narrower, so we consider it only in its entirety.
In terms of specific steps to fit models to the data, we started by normalizing the data to unity. In the narrow regions we divided by the median flux value, and for the full-band data, we divided by a constant such that the peak flux was unity. We shifted the model for radial velocity, broadened for v sin i, and then smoothed the model to the resolution of the data. We also determined a flux zero-point to be added to the data and a multiplicative factor to scale the model which minimized the χ2 statistic (, where Oi is the observed flux, Mi is the flux of the model, and σi is the uncertainty of the data). We computed the offset, multiplicative factor, and χ2 statistic for every model on the grid of Teff, log g, RV, v sin i, and fsed (where available).
The probability of a given χ2 value is . We computed the probabilities for every model on our grid, normalized the sum of the p-values to unity, then marginalized over each of the parameters to obtain the probability distributions for each parameter. The distributions for RV and v sin i were Gaussian in shape, and we report the mean values and 1σ error bars for in Table 3. For the other parameters the model grid spacing was coarse, and the probability of values other than the values presented in Tables 3 and 4 is negligible. We report the results for these parameters with error bars corresponding to the grid-spacing. Tables 3 and 4 give the most probable values for each family of models in each wavelength region.
Table 4. Best-fit Photospheric Model Parameters for the Full Bands
Model | Band | Wavelength | Teff | fsed | log ga | v sin ia | RV a | |
---|---|---|---|---|---|---|---|---|
(μm) | (K) | (dex) | (km s−1) | (km s−1) | ||||
2MASS J03480772−6022270 (T7, FIRE data) | ||||||||
BT-Settl | J | 1.140–1.345 | 900 ± 25 | ⋯ | 5.0 ± 0.25 | 118.3 | −14.2 | 7.4 |
BT-Settl | H | 1.480–1.790 | 750 ± 25 | ⋯ | 4.5 ± 0.25 | 118.3 | −11.3 | 11 |
BT-Settl | K | 1.960–2.350 | 700 ± 25 | ⋯ | 4.0 ± 0.25 | 107.9 | −13.7 | 2.8 |
Morley | J | 1.140–1.345 | 800 ± 50 | 5 | 4.0 ± 0.25 | 118.3 | −15.1 | 10 |
Morley | H | 1.480–1.790 | 700 ± 50 | 5 | 4.0 ± 0.25 | 118.3 | −10.0 | 28 |
Morley | K | 1.960–2.350 | 900 ± 50 | 5 | 4.0 ± 0.25 | 107.2 | −19.5 | 2.5 |
Sonora | J | 1.140–1.345 | 900 ± 50 | ⋯ | 5.25 ± 0.13 | 94.0 | −16.8 | 4.2 |
Sonora | H | 1.480–1.790 | 850 ± 50 | ⋯ | 4.25 ± 0.13 | 118.3 | −21.5 | 2.0 |
Sonora | K | 1.960–2.350 | 1000 ± 50 | ⋯ | 4.50 ± 0.13 | 104.5 | −15.5 | 2.3 |
Adopted values | ⋯ | 880 ± 110 | 5 | ⋯ | ⋯ | ⋯ | ⋯ | |
2MASS J12195156+3128497 (L8, FIRE data) | ||||||||
BT-Settl | J | 1.140–1.345 | 1400 ± 25 | ⋯ | 5.50 ± 0.25 | 72.2 | −24.5 | 2.3 |
BT-Settl | H | 1.480–1.790 | 1200 ± 25 | ⋯ | 4.50 ± 0.25 | 85.8 | −18.9 | 2.0 |
BT-Settl | K | 1.960–2.350 | 1250 ± 25 | ⋯ | 4.50 ± 0.25 | 85.8 | −17.8 | 2.1 |
SM08 | J | 1.140–1.345 | 1200 ± 50 | 3 | 5.50 ± 0.25 | 72.2 | −14.6 | 2.0 |
SM08 | H | 1.480–1.790 | 1500 ± 50 | 3 | 5.00 ± 0.25 | 83.2 | −23.2 | 1.9 |
SM08 | K | 1.960–2.350 | 1500 ± 50 | 3 | 4.50 ± 0.25 | 85.8 | −18.6 | 2.4 |
Adopted values | ⋯ | 1330 ± 140 | 3 | ⋯ | ⋯ | ⋯ | ⋯ |
Notes. Best-fit photospheric model parameters for the FIRE data of the T7 and L8 dwarfs, fit over each of the full J, H, and K bands. We use these fits to inform our final Teff and fsed determinations. The adopted values are the weighted averages (as described in Section 4). The GNIRS data for the L3.5 dwarf are not shown here as they only cover a narrow-wavelength region, and so the fitting results for that object are shown in their entirety in Table 3.
a We adopt the log g, RV and v sin i values from the narrow-wavelength regions (Table 3). To better determine Teff and fsed, we still allow log g to vary unconstrained in the full-band fitting, while RV and v sin i are allowed to probe within 2σ of the adopted values. In some cases the best-fitting RVs and v sin i values correspond to the extremes of their allowed range, so we do not include uncertainties for them here.Download table as: ASCIITypeset image
We find that the best-fit parameter values can vary significantly between model families and between different wavelength regions, while giving comparable reduced χ2 statistics. Understanding the subtle differences between the families of models is related to the molecular line lists and opacities used to compute these models, and is beyond the scope of this paper.
To determine the final values of the parameters, we take a weighted average of the values from each model family and region fit. For the FIRE data, we determine the RV, v sin i, and log g from our narrow-region fits (Table 3), and the Teff and fsed from our full-band fits (Table 4). For the GNIRS data we determine all parameters from the full wavelength coverage available. We assign the weights in the weighted average as , where the for each best-fit model is given in Tables 3 and 4. We report the final values from the weighted averages in Table 5, with the unbiased weighted sample standard deviation as our uncertainties.
Table 5. Physical Parameters for the Three L and T Dwarfs
Parameter | 2MASS J0348-6022 | 2MASS J1219+3128 | 2MASS J0407+1546 |
---|---|---|---|
Spectral Type | T7 | L8 | L3.5 |
Prot (hr) | |||
Teff (K) | 880 ± 110 | 1330 ± 140 | 1840 ± 210 |
log g | 5.1 ± 0.3 | 5.1 ± 0.5 | 5.2 ± 0.4 |
v sin i (km s−1) | 103.5 ± 7.4 | 79.0 ± 3.4 | 82.6 ± 0.2 |
RV (km s−1) | −14.1 ± 3.7 | −19.0 ± 4.2 | 43.4 ± 2.1 |
R (R⊙) | |||
M (M⊙) | |||
Age (Gyr) | |||
veq (km s−1) | |||
Inclination (°) | |||
Oblateness | 0.08 | 0.08 | 0.05 |
Note. Prot is determined from our photometric data. Teff, log g, v sin i, and RV are determined from our spectra by comparing to model photospheres. R, M, and the ages are determined by interpolation of the log g–Teff grid in the evolutionary models of SM08. The equatorial velocities (veq) and spin-axis inclinations (i) are computed using the aforementioned values.
The evolutionary model radii listed are assumed to be the equatorial radii. With oblateness factors between 0.05 and 0.08, the difference between the polar and equatorial radii is 5%–8%. In reality, the evolutionary models (which ignore rotation) likely produce "mean" radii that are in between the equatorial and the polar radii. Hence, any difference between the "mean" and the equatorial radii would be 3%–4%. This would revise our estimates for the equatorial velocities up by ∼3%–4%, but such systematic offsets would still be ∼3 times smaller than the quoted uncertainties. The effect on the inclination estimates would be negligible.
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We describe the outcomes of our model fitting and χ2 analysis in detail for each target in Sections 4.1.
4.1. 2MASS J0348−6022 (T7)
Based on its T7 spectral type, 2MASS J0348−6022 is expected to have an effective temperature Teff ≲ 1000 K (e.g., Stephens et al. 2009; Filippazzo et al. 2015). Its photosphere should be governed by gas opacity, with a cloud layer buried deeply (fsed ≥ 3; Ackerman & Marley 2001; Marley et al. 2002) within the atmosphere. Thus we expect the atmosphere of this object to be relatively clear and cloudless. So, the cloud-free Sonora models are appropriate for fitting this object's spectra. A cloudless atmosphere does not imply a completely homogeneous surface, and it is possible that one of the alternative mechanisms presented in Section 2.4 (e.g., temperature variations; Robinson & Marley 2014) is responsible for the observed variability. We also compared this target to the BT-Settl and Morley models. The effective temperature grid of the available SM08 models does not extend to the low temperatures expected for a T7 spectral type.
We selected a grid of parameters ranging from Teff = 700 to 1000 K, log g = 4.0 to 5.5 dex in steps of 0.5 dex (0.25 for the Sonora models), and, for the Morley models, condensate sedimentation efficiencies from fsed = 2 to 5 in unit steps. We selected our log g grid based on the range in surface gravities predicted by the SM08 evolutionary models for brown dwarfs. We selected the RV and v sin i grids by first testing a wide, coarse grid to determine approximate RV and v sin i values. We then narrowed it down to between −5 km s−1 and −30 km s−1 for RV and between 75 km s−1 and 115 km s−1 for v sin i, both in steps of 0.1 km s−1.
We find that a wide range in parameters fit the z band equally well, and it is therefore not diagnostic for our study. We exclude the z band from our analysis, and only consider the J-, H-, and K-band spectra for this target. To reliably determine log g, RV, and v sin i, we selected narrow regions dominated by molecular lines within each band: the 1.26–1.30 μm J-band region dominated by H2O and CH4 (Figure 8, top left), the 1.520–1.562 μm H-band region dominated by H2O (Figure 8, top right), and the 2.11-2.19 μm K-band region containing primarily CH4 lines (Figure 8, bottom). The best-fit photospheric models for the narrow wavelength regions are shown in Figure 8 and for the full bands in Figure 9. The high fsed values of the Morley et al. (2012) models in all of the full band fits indicate an optically thin, relatively cloudless atmosphere, as expected for a late-T type brown dwarf.
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Standard image High-resolution imageWe adopt the weighted average and unbiased weighted sample standard deviation (Section 4) of the values in Table 3 as our estimates for log g, v sin i, and RV. For v sin i in particular, we find a very high degree of rotational broadening: v sin i = 103.5 ± 7.4 km s−1. This is consistent with the short rotational period (Section 2.4), and will be discussed further in Section 5. The adopted parameters from the spectroscopic fitting are shown in Table 5.
4.2. 2MASS J1219+3128 (L8)
Based on its L8 spectral type, we expect 2MASS J1219+3128 to have an effective temperature of Teff ∼ 1400 K (e.g., Stephens et al. 2009; Filippazzo et al. 2015). The Morley models are not suitable for this target, as that model grid extends to a maximum of Teff = 1300 K. The Sonora models are also not appropriate, as they are cloud-free, while late-L dwarfs are very dusty and are expected to have thick, patchy clouds. Therefore, we instead adopt only the SM08 and BT-Settl models as they cover sufficiently high temperatures for this spectral type and include treatments of dust. We selected a grid of parameters ranging from Teff = 1100 K to 1700 K, log g = 4.0 to 5.5 dex, and for the SM08 models, condensate sedimentation efficiencies from fsed = 1 to 4 in unit steps. We selected the RV and v sin i grids using the same method as before (Section 4.1): by first testing a large, coarse grid to determine the approximate RV and v sin i values. The final grid was between −5 km s−1 and −30 km s−1 for RV and between 70 km s−1 and 110 km s−1 for v sin i, both in steps of 0.1 km s−1.
As for 2MASS J0348–6022 (Section 4.1), we find that a wide range in parameters fit the z band equally well. It is not diagnostic for our study, and we exclude the z band from our analysis. The J-band data had fairly low signal-to-noise ratio and had no regions with clearly defined lines from which we could measure v sin i. We instead selected two narrow regions in the H band, along with a narrow region in the K band. In the H band we selected 1.50–1.55 μm and 1.72–1.78 μm, where the first region is dominated by H2O, and the second is dominated by FeH, H2O, and potentially some CH4. The best lines in our data set for measuring v sin i in the K band are H2O lines between 1.970 μm and 2.055 μm, located on either side of a major telluric feature where our data have very low quality. We opted to mask out this region (2.00–2.02 μm) before fitting the models. We show the narrow-band fits in Figure 10, and the full-band fits in Figure 11.
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Standard image High-resolution imageWe also find a high degree of rotational broadening for 2MASS J1219+3128, with v sin i = 79.0 ± 3.4 km s−1 (Table 3). This is consistent with the short photometric period for this object. The adopted parameters from the spectroscopic fitting are shown in Table 5.
4.3. 2MASS J0407+1546 (L3.5)
Based on its L3.5 spectral type, 2MASS J0407+1546 is expected to have an effective temperature of ∼1800 K (e.g., Stephens et al. 2009; Filippazzo et al. 2015), with a fairly cloudy atmosphere. We therefore select the SM08 and BT-Settl models. We do not include the Sonora models as they are cloudless, or the Morley models as they are for temperatures below 1300 K. We selected the following parameter grid for fitting: Teff = 1500 K to 2100 K in steps of 100 K, log g = 4.0 dex to 5.5 dex in steps of 0.5 dex, and condensate sedimentation efficiency fsed = 1 to 4 in unit steps. We selected 30 km s−1 to 60 km s−1 for RV and 75 km s−1 to 100 km s−1 for v sin i, both in steps of 0.1 km s−1. Our GNIRS observations cover the narrow region from 2.275 μm to 2.332 μm, which contains primarily H2O and CO lines. We show the best-fitting models in Figure 12.
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Standard image High-resolution imageThe narrower-wavelength coverage of our GNIRS data means we have limited effective temperature and sedimentation efficiency information compared to the full-band spectra of the two other objects. Although we cannot place a high confidence on the results for these two parameters, we find that the effective temperature is consistent with expectations for an L3.5 dwarf, with Teff = 1840 ± 210 K. We find a high degree of rotational broadening, at v sin i = 82.6 ± 0.2 km s−1, consistent with the short rotational period. Table 5 lists all of the physical parameters detemined from the spectroscopic fits.
5. Discussion
5.1. The Three Most Rapidly Rotating Ultra-cool Dwarfs: Possibility for Auroral Emissions
The hr, hr, and hr photometric periods of our three L and T dwarfs are shorter than any others yet observed (Figure 13; Table A1). The previously reported shortest photometric period for an ultra-cool dwarf was 1.41 ± 0.01 hr for the T6 2MASS J22282889−4310262 (Clarke et al. 2008; Buenzli et al. 2012; Metchev et al. 2015). Route & Wolszczan (2016) have reported an even shorter possible period, 0.288 hr for the T6 dwarf WISEPC J112254.73+255021.5, based on radio flare observations from the Arecibo Observatory radio telescope. However, they indicate that the 0.288 hr period may be a harmonic of a longer period, or that the flares may in fact not have been periodic. They base their period on five flaring events with the first and last separated by ∼240 days. When analyzing the data with the flares removed, they do not find any indication of variability. A later study by Williams et al. (2017) using the Very Large Array confirmed the same object to have variable polarized emission, but with a longer period of 1.93 hr. They also observed the target photometrically in the z band using Gemini/GMOS-N, and did not find any indication of variability. We therefore do not consider WISEPC J112254.73+255021.5 as an ultra-fast rotator, leaving the three objects reported here as the fastest known L or T dwarf rotators.
We find a high degree of rotational line broadening for all three targets, consistent with the short photometric periods. At projected rotation velocities of 103.5 km s−1 for 2MASS J0348−6022 (T7), 79.0 km s−1 for 2MASS J1219+3128 (L8) and 82.6 km s−1 for 2MASS J0407+1546 (L3.5), these are among the most rapidly spinning ultra-cool dwarfs known to date. In the comprehensive compilation of ultra-cool dwarf rotation measurements by Crossfield (2014), he lists only two other ultra-cool dwarfs with v sin i > 80 km s−1: HD 130948C (86 km s−1, L4) and LP 349–45B (83 km s−1, M9), both from Konopacky et al. (2012).
The rapid projected rotational velocities of our targets confirm that the ∼1 hr periodicities of their light curves correspond to their true rotation periods, and that they are not more slowly rotating brown dwarfs with multiple spots at semi-regular longitudinal intervals, as seen on Jupiter (de Pater et al. 2016), or beat patterns arising from planetary-scale waves (Apai et al. 2017).
The v sin i measurements give lower limits on the true rotational velocities and may so be used to constrain the spin-axis inclinations of our targets. We assume that these brown dwarfs rotate as rigid spheres so that the equatorial rotation velocity is , where P is the photometric rotation period, and R is the radius. We estimate the radii, masses, and ages by comparing our findings for surface gravities and effective temperatures to the log g–Teff grid in the evolutionary models of SM08. Oblateness due to the rapid rotation (see Section 5.2; notes in Table 5) and the corresponding increase in equatorial radius produce a second-order effect, which we have ignored in these calculations. Combining the radii (R), the photometric periods (Prot), and the spectroscopically determined projected rotational velocities (v sin i), we calculate the inclinations (i) and the equatorial rotation velocities (veq) of our targets (Table 5). All three L and T dwarfs have equatorial velocities ≳100 km s−1, and 2MASS J0348–6022 (T7) is seen near equator-on.
All three objects are also likely substellar. At a spectral type of L3.5, 2MASS J0407+1546 is the warmest and potentially most massive among our three L and T dwarfs. Its evolutionary model-dependent mass estimate is 0.037–0.073 M⊙ (Table 5). Optical spectroscopy from Reid et al. (2008) does not reveal lithium absorption, so it must be >0.060 M⊙ (e.g., Burrows et al. 1997). This still leaves the estimated 0.060–0.073 M⊙ mass of 2MASS J0407+1546 mostly in the substellar (<0.072 M⊙) domain.
The L3.5 dwarf 2MASS J0407+1546 is also known to be chromospherically active based on the strong (60 Å equivalent width) Hα emission reported by Reid et al. (2008). Its rapid rotation and Hα emission may well indicate the presence of an aurora. Based on radio detections of three L and T dwarfs with short (1.5 hr–2.2 hr) rotation periods, Kao et al. (2018) conclude that rapid rotation is key to powering auroral emissions via the electron cyclotron maser instability (Hallinan et al. 2007, 2015). Kao et al. (2016), Pineda et al. (2017), and Richey-Yowell et al. (2020) further demonstrate that brown dwarf Hα and radio luminosities and radio aurorae are correlated. It is possible that all three of our rapidly rotating brown dwarfs have strong dipole fields that power auroral emission (Kao et al. 2018). In particular, the near equator-on view of the T7 dwarf 2MASS J0348–6022 makes it an excellent candidate for seeking pulses of circularly polarized electron cyclotron maser emission. This is already known from other rapidly rotating ultra-cool dwarfs seen at their equators (Berger et al. 2001; Hallinan et al. 2007).
5.2. Proximity to Rotational Break-up and Oblateness
An upper limit on the spin rate of brown dwarfs exists from simple arguments of rotational stability. Konopacky et al. (2012) estimate that their two most rapidly rotating ultra-cool dwarfs, HD 130948C (v sin i = 86 km s−1) and LP 349–45B (v sin i = 83 km s−1) rotate at approximately 30% of break-up speed. The break-up periods for typical >1 Gyr-aged field brown dwarfs are in the tens of minutes. For example, a massive 0.07 M⊙, 0.09 R⊙ brown dwarf has , while a low-mass 0.02 M⊙, 0.12 R⊙ brown dwarf has Pbreakup = 49 min. These are approximately consistent with extrapolations from the shortest known (5 hr) brown dwarf rotation period at 5 Myr (Scholz et al. 2015), assuming that the fastest rotators at 5 Myr remain the fastest when they contract and age. Using the evolutionary models of (non-accreting) brown dwarfs from Baraffe et al. (2015), by 3 Gyr conservation of angular momentum, dictates periods in the 10–70 min range (e.g., Schneider et al. 2018).
The 65–74 min periods of our three fast rotators are at the long end of this range. They would be near break-up only if they all had very low masses and large radii, i.e., were young brown dwarfs with low surface gravities. This is highly unlikely, given the wide range in spectral types (L3.5–T7) of our three rapid rotators, and the fact that their moderate-to-high surface gravities (log g ≳ 5.0; Table 5) point to >0.1 Gyr ages. Using our measured RVs and precise proper motions and parallaxes determined from the Hawaii Infrared Parallax Program (Liu et al. 2016; Best et al. 2020) or from Spitzer (Kirkpatrick et al. 2019), the BANYAN Σ young moving group tool (Gagné et al. 2018) reports that the space motions of all three L and T dwarfs are ≥99% consistent with field-dwarf kinematics. Only for 2MASS J0407+1546 (L3.5) is there a 1% chance of membership in the 40–50 Myr Argus association (Zuckerman 2019), and Gagné et al. (2015b) independently discuss that this object may either be ∼200 Myr old or have peculiar metallicity, based on weaker FeH and slightly weaker alkali line widths. Thus, 2MASS J0407+1546 may indeed be moderately young, even if it is not a member of any of the known young stellar moving groups.
To assess the proximity to break-up spin-velocity, we consider the effect of the centrifugal acceleration on surface gravity. Rapid rotation decreases the surface gravity near the equator, and may make the object appear younger. We can determine the surface gravity decrement due to the centrifugal acceleration using the inferred radii and equatorial velocities (Table 5). For our potentially fastest and largest rotator, the L8 dwarf 2MASS J1219+3128, the centrifugal acceleration is s−2 (), where veq = 107 km s−1 and R = 0.100 R⊙. The centrifugal acceleration thus reduces the surface gravity at the equator by about 13%, when compared to the log g = 5.1 ± 0.5 surface gravity inferred from the photospheric model fitting (Table 5). While this does indicate that the rotation speed amounts to a significant fraction (35%) of the break-up speed, we note that it has a minor effect on our ability to assess the surface gravity spectroscopically.
The rotational stability limit for brown dwarfs may not necessarily be set by the centrifugal levitation argument above. The stability limit for the oblateness f (fractional difference between polar and equatorial radii) of axisymmetric rotating polytropes for brown dwarf-like structures (n ∼ 1 to 1.5) is about 0.4 (James 1964). The Darwin–Radau relationship (e.g., Barnes & Fortney 2003) connects the oblateness, mass, radius, rotation, and moment of inertia for objects with smoothly varying interiors. Using the central values from Table 5, we compute oblateness factors of 0.08, 0.08, and 0.05 for the most (2MASS J0348–6022, 2MASS J1219+3128) and least (2MASS J0407+1546) oblate objects. This places the spin rates of both 2MASS J0348–6022 and 2MASS J1219+3128 at about 45% of their rotational stability limits: closer to instability than indicated by the rigid-body rotation break-up velocity estimates. For comparison, Saturn, the most oblate planet in the solar system, has an oblateness of 0.1. The brown dwarfs have surface gravities about 100 times greater than Saturn but rotation rates 10 times faster. Since oblateness scales as Ω2/g (where Ω is the rotation rate), it is not surprising the oblateness of these objects is comparable to that of Saturn.
Finally, the preceding discussion ignores the effect of any magnetic dynamo from the metallic hydrogen interior, which may be an important contributor to the energy balance in such rapid rotators, and may further limit the maximum spin velocity. So these three objects may be even closer to instability than indicated by estimates that ignore magnetic fields.
From an observational standpoint, the three rapid rotators delineate a clear lower boundary to the envelope of all 78 L-, T-, and Y-dwarf rotation periods measured to date (Figure 13). This limit holds over a broad range of spectral types, for objects that presumably have different ages. Hence, ∼1 hr may be close to a physical lower limit to the spin period of field-aged Jupiter-sized brown dwarfs.
Because of their significant oblateness, the three rapid rotators are potentially good targets for searches for polarized thermal emission (e.g., Marley & Sengupta 2011; de Kok et al. 2011; Stolker et al. 2017). Several surveys have been successful in detecting polarized thermal emission from brown dwarfs (e.g., Ménard et al. 2002; Zapatero Osorio et al. 2005; Miles-Páez et al. 2013, 2017c; Millar-Blanchaer et al. 2020), which could be attributed to inhomogeneous cloud cover or oblateness. Intriguingly, Miles-Páez et al. (2013) find that ultra-cool dwarfs with the fastest rotation (v sin i ≥ 60 km s−1) are more likely to exhibit linear polarization and at a larger degree than slower rotators.
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Standard image High-resolution image6. Conclusions
We present a T7, L3.5, and L8 dwarf with the shortest photometric periodicities measured to date: 1.08 hr, 1.14 hr, and 1.23 hr. We confirm these extremely short rotation periods with moderate-dispersion spectroscopy and comparisons to Doppler-broadened model photospheres. The inferred v sin i value of the T7 dwarf 2MASS J0348–6022 is the highest known to date for an ultra-cool dwarf. Combining the projected rotation velocities of our targets with their photometric periods and photospheric model-dependent radii, we determine their equatorial velocities. All three L and T dwarfs spin at ≳100 km s−1 at their equators, and are the most rapidly spinning field ultra-cool dwarfs known to date. As such, they are excellent candidates for seeking auroral radio emission, which has been linked to rapid rotation in ultra-cool dwarfs. We consider the role of the centrifugal acceleration on surface gravity, and find that, while the effect can be significant, at ≲0.1 dex in surface gravity it can be difficult to discern with current photospheric models. We find that the objects have oblateness factors of between 5% and 8%, which ranks them among the best targets for seeking net optical or infrared polarization. Given that the three rapid rotators presented in this paper appear to lie near a short-period limit of approximately 1 hr across all brown dwarf spectral types, we consider it unlikely that rotation periods much shorter than 1 hr exist for brown dwarfs.
We would like to thank the anonymous referee for their considerate and constructive comments that helped us improve this paper. Support for this work was provided by NASA through an award issued by JPL/Caltech (RSA no. 1533692), by an NSERC Discovery Grant and the NSERC Canada Research Chairs program, by the Canada Space Agency (grant no. 18FAWESC13), and by an Ontario Graduate Scholarship. This work is based in part on observations made with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology under a contract with NASA. The authors wish to recognize and acknowledge the very significant cultural role and reverence that the summit of Maunakea has always had within the indigenous Hawaiian community. We are most fortunate to have the opportunity to conduct observations from this mountain. This paper includes data gathered with the 6.5 m Magellan Telescopes located at Las Campanas Observatory, Chile. IRAF is distributed by the National Optical Astronomy Observatory, which is operated by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation.
Facilities: Spitzer (IRAC) - , Magellan:Baade (FIRE) - , Gemini:Gillett (GNIRS). -
Software: PyRAF (2012), FIREHOSE v2 (Gagné et al. 2015a), BANYAN Σ (Gagné et al. 2018).
Appendix
The full list of rotation periods shown in Figure 13 is given in Table A1 with references.
Table A1. Known L-, T-, and Y-Dwarf Rotation Periods
Object | R.A. | Decl. | Spectral | Period | Period | Reference |
---|---|---|---|---|---|---|
Type | (hr) | Uncertainty (hr) | ||||
2MASS J00132229-1143006 | 00 13 22.2 | −11 43 00.6 | T3 | 2.8 | ⋯ | (1) |
LSPM J0036+1821 | 00 36 16.1 | +18 21 10.2 | L3.5 | 2.7 | 0.3 | (2), (3), (4), (5) |
2MASS J00452143+1634446 | 00 45 21.4 | +16 34 44.7 | L2β | 2.4 | 0.1 | (6), (7) |
2MASS J00470038+6803543 | 00 47 00.3 | +68 03 54.3 | L7 | 16.4 | 0.2 | (8), (9) |
2MASS J00501994-3322402 | 00 50 19.9 | −33 22 40.2 | T7 | 1.55 | 0.02 | (2) |
2MASSI J0103320+193536 | 01 03 32.0 | +19 35 36.1 | L6 | 2.7 | 0.1 | (2) |
2MASS J01075242+0041563 | 01 07 52.4 | +00 41 56.3 | L8 | 5 | ⋯ | (2) |
GU Psc B | 01 12 36.5 | +17 04 29.9 | T3.5 | 5.9 | 0.7 | (10), (11) |
2MASS 0122-2439 b | 01 22 50.8 | −24 39 51.6 | L5 | 6 | ⋯ | (12) |
SIMP J013656.5+093347.3 | 01 36 56.6 | +09 33 47.3 | T2.5 | 2.3895 | 0.0005 | (13), (14), (5), (15), (16), (17), (1) |
2MASS J01383648-0322181 | 01 38 36.4 | −03 22 18.1 | T3 | 3.2 | ⋯ | (1) |
DENIS J025503.3-470049 | 02 55 03.6 | −47 00 51.3 | L8 | 7.4 | ⋯ | (18), (19), (20) |
2MASS J03480772-6022270 | 03 48 07.7 | −60 22 27.0 | T7 | 1.08 | 0.005 | (21), (22) |
2MASS J04070752+1546457 | 04 07 07.5 | +15 46 45.5 | L3.5 | 1.23 | 0.01 | (21) |
2MASSI J0423485-041403 | 04 23 48.5 | −04 14 03.2 | L7 | 1.47 | 0.13 | (17), (23) |
2MASS J05012406-0010452 | 05 01 24.0 | −00 10 45.5 | L3 | 15.7 | 0.2 | (6), (7) |
Beta Pic b | 05 47 17.0 | −51 03 59.4 | L1 | 8.1 | 1.0 | (24) |
2MASS J05591914-1404488 | 05 59 19.1 | −14 04 49.2 | T4.5 | 10 | ⋯ | (14) |
AB Pic B | 06 19 12.9 | −58 03 20.9 | L1 | 2.12 | ⋯ | (12) |
2MASS J07003664+3157266 | 07 00 36.7 | +31 57 25.5 | L3.5 | 3.79 | 1.3 | (25) |
2MASS J07464256+2000321A | 07 46 42.4 | +20 00 32.6 | L0.5 | 3.32 | 0.15 | (4) |
2MASS J07584037+3247245 | 07 58 40.3 | +32 47 24.5 | T2 | 4.9 | 0.2 | (14) |
2MASS J08173001-6155158 | 08 17 29.9 | −61 55 15.6 | T6.5 | 2.8 | 0.2 | (14) |
2MASSI J0825196+211552 | 08 25 19.6 | +21 15 51.5 | L7.5 | 7.6 | ⋯ | (2), (26) |
2MASS J08283419-1309198 | 08 28 34.1 | −13 09 19.8 | L2 | 2.9 | ⋯ | (27) |
2MASS J08354256-0819237 | 08 35 42.5 | −08 19 23.3 | L4.5 | 3.1 | ⋯ | (27), (22) |
LP 261-75 B | 09 51 05.4 | +35 58 02.1 | L6 | 4.78 | 0.95 | (28) |
2MASSI J1043075+222523 | 10 43 07.5 | +22 25 23.6 | L8 | 2.21 | 0.14 | (17) |
2MASS J10433508+1213149 | 10 43 35.0 | +12 13 14.9 | L9 | 3.8 | 0.2 | (2) |
2MASSW J1047539+212423 | 10 47 53.8 | +21 24 23.4 | T6.5 | 1.741 | 0.007 | (29), (30), (17) |
Luhman 16A | 10 49 19.0 | −53 19 10 | L7.5 | 6.94 | ⋯ | (31), (32), (33), (34), (35) |
Luhman 16B | 10 49 18.9 | −53 19 09 | T0.5 | 5.28 | ⋯ | (31), (32), (36), (33), (34), (35) |
2MASS J10521350+4422559 | 10 52 13.5 | +44 22 55.9 | T0.5 | 3 | ⋯ | (37) |
DENIS J1058.7-1548 | 10 58 47.8 | −15 48 17.2 | L3 | 4.1 | 0.2 | (2), (38) |
2MASS J11193254-1137466 | 11 19 32.5 | −11 37 46.6 | L7 | 3.02 | 0.04 | (39) |
2MASS J11225550+2550250 | 11 22 55.5 | +25 50 25.0 | T6 | 1.93 | 0.12 | (40), (41) |
DENIS J112639.9-500355 | 11 26 39.8 | −50 03 54.8 | L4.5 | 3.2 | 0.3 | (2), (14) |
WISEA J114724.10-204021.3 | 11 47 24.2 | −20 40 20.4 | L7 | 19.39 | 0.33 | (39) |
2MASSW J1207334-393254 b | 12 07 33.5 | −39 32 54.4 | L5 | 10.7 | 1.2 | (42), (12) |
HD 106906 B | 12 17 52.6 | −55 58 26.6 | L2.5 | 4 | ⋯ | (43) |
2MASS J12195156+3128497 | 12 19 51.5 | +31 28 49.7 | L8 | 1.14 | 0.03 | (21), (26) |
2MASS J12373919+6526148 | 12 37 39.1 | +65 26 14.8 | T6.5 | 2.28 | 0.1 | (17) |
VHS J1256-1257B | 12 56 01.8 | −12 57 27.6 | L7 | 22.5 | 0.4 | (44) |
Ross 458 C | 13 00 42.0 | +12 21 15.0 | T8 | 6.75 | 1.58 | (45) |
Kelu-1 | 13 05 40.1 | −25 41 05.8 | L2 | 1.8 | ⋯ | (46), (47) |
2MASS J13243553+6358281 | 13 24 35.5 | +63 58 28.1 | T2 | 13.2 | ⋯ | (16), (2) |
WISE J140518.39+553421.3 | 14 05 18.3 | +55 34 21.3 | Y0 | 8.5 | ⋯ | (48) |
2MASS J14252798-3650229 | 14 25 27.9 | −36 50 23.2 | L5 | 3.7 | 0.8 | (14), (7), (6) |
DENIS J145407.8-660447 | 14 54 07.9 | −66 04 47.4 | L3.5 | 2.57 | 0.002 | (47) |
2MASSW J1507476-162738 | 15 07 47.6 | −16 27 40.1 | L5 | 2.5 | 0.1 | (2), (15) |
SDSS J151114.65+060742.9 | 15 11 14.6 | +06 07 43.1 | T2 | 11 | 2 | (2) |
2MASS J15164306+3053443 | 15 16 43.0 | +30 53 44.3 | T0.5 | 6.7 | ⋯ | (2) |
2MASS J15394189-0520428 | 15 39 41.9 | −05 20 42.7 | L3.5 | 2.51 | 1.6 | (25), (49) |
2MASS J16154255+4953211 | 16 15 42.5 | +49 53 21.1 | L4β | 24 | ⋯ | (2) |
2MASS J16291840+0335371 | 16 29 18.4 | +03 35 37.1 | T2 | 6.9 | 2.4 | (14) |
2MASS J16322911+1904407 | 16 32 29.1 | +19 04 40.7 | L8 | 3.9 | 0.2 | (2) |
2MASSI J1721039+334415 | 17 21 03.6 | +33 44 16.9 | L3 | 2.6 | 0.1 | (2) |
JWISE J173835.53+273259.0 | 17 38 35.5 | +27 32 59.0 | Y0 | 6 | 0.1 | (50) |
2MASS J17502385+4222373 | 17 50 23.8 | +42 22 37.3 | T2 | 2.7 | 0.2 | (14) |
2MASS J17534518-6559559 | 17 53 45.1 | −65 59 55.6 | L4 | ≥50 | ⋯ | (2) |
2MASS J18071593+5015316 | 18 07 15.9 | +50 15 31.6 | L1.5 | 1.71 | 0.3 | (25) |
2MASS J18212815+1414010 | 18 21 28.1 | +14 14 00.8 | L4.5 | 4.2 | 0.1 | (2), (15) |
2MASS J18283572-4849046 | 18 28 35.7 | −48 49 04.6 | T5.5 | 5 | 0.6 | (14) |
2MASS J19064801+4011089 | 19 06 48.0 | +40 11 08.5 | L1 | 8.9 | ⋯ | (51) |
2MASSI J2002507-052152 | 20 02 50.7 | −05 21 52.5 | L5.5 | 8 | 2 | (7) |
2MASS J20360316+1051295 | 20 36 03.1 | +10 51 29.5 | L3 | 1.45 | 0.55 | (25) |
PSO J318.5338-22.8603 | 21 14 08.0 | −22 51 35.8 | L7 | 8.45 | 0.05 | (7), (52), (53),(54) |
HD 203030B | 21 18 58.9 | +26 13 46.1 | L7.5 | 7.5 | 0.6 | (55) |
2MASS J21392676+0220226 | 21 39 26.7 | +02 20 22.6 | T2 | 7.614 | 0.178 | (15), (56), (14), (16) |
HN Peg B | 21 44 28.4 | +14 46 07.7 | T2.5 | 15.4 | 0.5 | (57), (2) |
2MASSW J2148162+400359 | 21 48 16.2 | +40 03 59.3 | L6 | 19 | 4 | (2) |
2MASS J21483578+2239427 | 21 48 35.7 | +22 39 42.7 | T1 | 2.4 | 0.4 | (1) |
2MASSW J2208136+292121 | 22 08 13.6 | +29 21 21.5 | L3γ | 3.5 | 0.2 | (2) |
2MASS J22153705+2110554 | 22 15 37.0 | +21 10 55.4 | T1 | 5.2 | 0.5 | (1) |
2MASS J22282889-4310262 | 22 28 28.8 | −43 10 26.2 | T6 | 1.41 | 0.01 | (2), (23), (58), (14), (15) |
2MASS J22393718+1617127 | 22 39 37.1 | +16 17 12.7 | T3 | 3.4 | ⋯ | (1) |
2MASS J22443167+2043433 | 22 44 31.6 | +20 43 43.3 | L6 | 11 | 2 | (8), (18), (7) |
2MASS J23312378-4718274 | 23 31 23.7 | −47 18 27.4 | T5.5 | 2.9 | 0.9 | (23) |
Note. Where multiple references are given, we have adopted the spectral type and period value from the first reference. Additional L3–T8 periods compiled in Crossfield (2014) have not withstood independent confirmation so we do not include them here.
References. (1) Eriksson et al. (2019); (2) Metchev et al. (2015); (3) Berger et al. (2005); (4) Harding et al. (2013); (5) Croll et al. (2016); (6) Vos et al. (2020); (7) Vos et al. (2019); (8) Vos et al. (2018); (9) Lew et al. (2016); (10) Naud et al. (2017); (11) Lew et al. (2020); (12) Zhou et al. (2019); (13) Artigau et al. (2009); (14) Radigan et al. (2014); (15) Yang et al. (2016); (16) Apai et al. (2017); (17) Kao et al. (2018); (18) Morales-Calderón et al. (2006); (19) Koen (2005); (20) Koen et al. (2005); (21) This work; (22) Wilson et al. (2014); (23) Clarke et al. (2008); (24) Snellen et al. (2014); (25) Miles-Páez et al. (2017b); (26) Buenzli et al. (2014); (27) Koen (2004); (28) Manjavacas et al. (2018); (29) Allers et al. (2020); (30) Williams & Berger (2015); (31) Apai et al. (2021); (32) Biller et al. (2013); (33) Buenzli et al. (2015b); (34) Buenzli et al. (2015a); (35) Karalidi et al. (2016); (36) Gillon et al. (2013); (37) Girardin et al. (2013); (38) Heinze et al. (2013); (39) Schneider et al. (2018); (40) Williams et al. (2017); (41) Route & Wolszczan (2016); (42) Zhou et al. (2016); (43) Zhou et al. (2020); (44) Bowler et al. (2020); (45) Manjavacas et al. (2019); (46) Clarke et al. (2002); (47) Koen (2013a); (48) Cushing et al. (2016); (49) Koen (2013b); (50) Leggett et al. (2016); (51) Gizis et al. (2015); (52) Biller et al. (2015); (53) Allers et al. (2016); (54) Biller et al. (2018); (55) Miles-Páez et al. (2019); (56) Radigan et al. (2012); (57) Zhou et al. (2018); (58) Buenzli et al. (2012).
Footnotes
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Image Reduction and Analysis Facility, distributed by the National Optical Astronomy Observatories.
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