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The Largest M Dwarf Flares from ASAS-SN

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Published 2019 May 9 © 2019. The American Astronomical Society. All rights reserved.
, , Citation Sarah J. Schmidt et al 2019 ApJ 876 115 DOI 10.3847/1538-4357/ab148d

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0004-637X/876/2/115

Abstract

The All-sky Automated Survey for Supernovae (ASAS-SN) is the only project in existence to scan the entire sky in optical light approximately every day, reaching a depth of g ∼ 18 mag. Over the course of its first 4 yr of transient alerts (2013–2016), ASAS-SN observed 53 events classified as likely M dwarf flares. We present follow-up photometry and spectroscopy of all 53 candidates, confirming flare events on 47 M dwarfs, one K dwarf, and one L dwarf. The remaining four objects include a previously identified T Tauri star, a young star with outbursts, and two objects too faint to confirm. A detailed examination of the 49 flare star light curves revealed an additional six flares on five stars, resulting in a total of 55 flares on 49 objects ranging in V-band contrast from ΔV = −1 to −10.2 mag. Using an empirical flare model to estimate the unobserved portions of the flare light curve, we obtain lower limits on the V-band energy emitted during each flare, spanning $\mathrm{log}({E}_{V}/\mathrm{erg})=32$–35, which are among the most energetic flares detected on M dwarfs. The ASAS-SN M dwarf flare stars show a higher fraction of Hα emission, as well as stronger Hα emission, compared to M dwarfs selected without reference to activity, consistent with belonging to a population of more magnetically active stars. We also examined the distribution of tangential velocities, finding that the ASAS-SN flaring M dwarfs are likely to be members of the thin disk and are neither particularly young nor old.

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1. Introduction

Stellar flares are dramatic multiwavelength outbursts that originate in the reconnection of magnetic field lines at the surfaces of stars across the main sequence. A typical flare event stretches from the stellar photosphere to the corona, with high-energy particle acceleration dominating radio and X-ray flare emission (e.g., Lin & Hudson 1976; Osten et al. 2005), while dense, hot material in the pre-flare photosphere and chromosphere emits at UV and optical wavelengths through a combination of thermal blackbody and atomic emission (e.g., Hawley & Pettersen 1991; Kowalski et al. 2013). Most flares are rapid transients, characterized by an initial impulsive rise and decay (lasting a few to tens of minutes) followed by a more gradual exponential decay (typically lasting hours; see, e.g., Davenport et al. 2014a). Flares are often observed on M dwarfs, both because these low-mass stars remain magnetically active and flaring even at ages of a few gigayears (West et al. 2008; Hilton et al. 2010; Pineda et al. 2013) and because the contrast of the hot (∼10,000 K), blue thermal component of the flare emission with the cool (∼3000 K), red photosphere allows for observations of modest (E ∼ 1026 erg) flares that require high-precision photometry to detect on solar-type stars other than the Sun. So far, M dwarf flares have been observed to span a wide range of energies, from E ∼ 1026 erg up to 1035–1036 erg (Lacy et al. 1976; Kowalski et al. 2010; Davenport 2016).

When a single star is observed long enough that a significant number of flares are detected (tens to hundreds), the energies of those flares follow a flare frequency distribution (FFD) where the most energetic flares occur far more rarely than lower-energy flares (Lacy et al. 1976). FFDs have been found to depend on stellar spectral type (a proxy for mass and surface temperature), as well as other indicators of stellar activity, due to a dependence on the underlying magnetic field strength (Hilton 2011; Hawley et al. 2014). The dynamo that generates stellar magnetic fields (and thus flares) depends strongly on the rotation rate of the stars, both above and below the fully convective boundary (Browning et al. 2006; Browning 2008). As stars age, their rotational energy is dissipated through a combination of steady stellar winds and transient magnetic emission events, leading to weaker magnetic fields and net lower magnetic activity. A well-measured FFD across a range of masses, ages, and metallicities would be an important step in understanding the magnetic evolution of M dwarfs and other main-sequence stars.

Powerful flares can also present a challenge to the surface habitability of exoplanets that orbit M dwarf hosts. The habitable zones (where liquid water can persist on the surface of a rocky planet) of M dwarfs are 10–100 times closer to their host star than that of the Sun (Luger & Barnes 2015), so the UV emission observed from most flares will have a stronger effect on planets around M dwarfs. UV emission, if too intense, can first deplete the outer ozone layer and then pass through an exoplanet atmosphere to destroy DNA and other essential molecules. On early to mid-M dwarfs, UV emission alone is not strong enough to hinder life dramatically, either during quiescence (France et al. 2016) or during a single flare (Segura et al. 2010). On later M dwarfs (O'Malley-James & Kaltenegger 2017) or M dwarfs with a high rate of large flares (Tilley et al. 2019), the UV emission from those flares may play a role in depleting the upper ozone of an oxygen atmosphere but is unlikely to destroy it completely.

The observed UV emission from flares may not prevent growth of life around M dwarfs, but powerful flares are often accompanied by energetic particles, either emitted as a particle beam or released as part of a coronal mass ejection (CME); these CMEs could have dramatic effects on the atmospheres of otherwise habitable planets (Khodachenko et al. 2007; Lammer et al. 2007). Outside our solar system, there are no observations of particle beams and only a handful of observations that could be consistent with CMEs (e.g., Vida et al. 2016), but scaling from correlations between solar flares and these energetic ejections indicates that M dwarf planets would be hit by strong particle beams multiple times per day (Kay et al. 2016; Youngblood et al. 2017) and that those events could work together to deplete the ozone (Tilley et al. 2019). Because these results rely on extrapolating known flare rates to estimate particle events, it is essential to determine flare rates as a function of stellar mass and age to calculate the effect on a wider range of planets orbiting M dwarfs over a large range of spectral types and ages.

The Kepler mission (Borucki et al. 2010) and its extension into K2 (Howell et al. 2014) have proven to be an essential resource for flare observations at optical wavelengths. While the relatively red passband of the Kepler space craft is not ideal for observing the blue/UV wavelengths where the contrast between the flare and photosphere is highest, the precision and cadence (∼1 minute) of the photometry have enabled the detection of large numbers of stellar flares. Results from Kepler include catalogs of flares across the main sequence (Walkowicz et al. 2011; Davenport 2016), superflares (E > 1033 erg) on solar-type stars (Maehara et al. 2012), detailed analyses of the many M dwarf flares (Hawley et al. 2014; Ramsay & Doyle 2015; Silverberg et al. 2016), and the first observations of white-light flares on an L dwarf (Gizis et al. 2013). While data from Kepler are ideal for detailed time-series analysis of flares, the mission is limited owing to the need to pre-select a limited number of targets in each quarter and field. Most stars are observed because they are likely to be particularly good targets for exoplanet searches, and the Kepler/K2 stars are not representative of the underlying population of M dwarfs. To assess the complete flare rate across an unbiased sample of stars, a different approach is needed.

The All-sky Automated Survey of Supernovae (ASAS-SN; Shappee et al. 2014) is a survey with the main objective of detecting the nearest, brightest supernovae (SNe) in the universe (Shappee et al. 2016a; Holoien et al. 2017a, 2017b, 2017c), which has proven to be a valuable resource for a variety of transient events both inside and outside our Galaxy, including the three brightest optical tidal disruption events (Holoien et al. 2014a, 2016a, 2016b), the most luminous SN (Dong et al. 2016), active galactic nucleus flares (Shappee et al. 2014), dramatic variability on young stars (Holoien et al. 2014a; Herczeg et al. 2016), novae (Li et al. 2017), and cataclysmic variables (CVs; Davis et al. 2015). ASAS-SN has already found very strong flares on M dwarfs (e.g., Stanek et al. 2013b; Schmidt et al. 2014; Simonian et al. 2016; Rodríguez et al. 2018) and the strongest L dwarf flare (Schmidt et al. 2016). Because of its relatively bright magnitude range, flaring M dwarfs detected with ASAS-SN are primarily bright, nearby M dwarfs that can be examined in detail more easily than those in deeper surveys like LSST or Pan-STARRS. These flare detections are thus useful both for understanding nearby M dwarfs and for classifying flares in future time-domain surveys.

We describe the selection of flare candidates in ASAS-SN (Section 2) and our follow-up observations (Section 3). We then characterize the flares in Section 4 and their stars in Section 5. We discuss individual objects of interest in Section 6 and summarize our results in Section 7.

2. ASAS-SN Flare Detections and Sample Selection

The ASAS-SN survey is a long-term project to monitor the entire sky for bright transient objects with as fast a cadence as possible. ASAS-SN began taking data in 2011 November with two cameras in Hawaii and began searching for transients in real time in 2013 April. Since 2013, ASAS-SN has expanded multiple times, as detailed by Holoien et al. (2017a) and Kochanek et al. (2017). The data for the M dwarfs examined here were taken while ASAS-SN was taking data only at the original two sites at Hawaii and Chile. Each ASAS-SN unit now consists of four 14 cm aperture Nikon telephoto lenses on a common mount, allowing the two ASAS-SN units used in this study to cover ∼16,000 deg2 every clear night to V ≈ 16.5–17.3 mag, depending on lunation. This allowed us to scan the visible (Sun constrained) sky every two nights. ASAS-SN currently has five robotic units distributed, adding units to sites in Chile, Texas, and South Africa, and we will add a sixth unit in China by the end of 2018. We currently observe the entire visible sky every 20 hr to g ≈ 18.5 mag.

The telescopes are scheduled automatically, and the data are reduced in real time. Our transient detection pipeline typically identifies new transient sources less than an hour after the data are taken. Candidates are then scanned by team members in North America, South America, Asia, and Europe to determine whether the sources are likely real and to provide a rough classification based on public survey photometry, literature measurements where available, and the previous ASAS-SN light curve at that location. Transient events that are determined to be real are immediately made public on the ASAS-SN transients page.15 SNe and CV outbursts are the most common detections, including 500+ and 1250+ candidates, respectively, as of the end of 2016.

When we first retrieved our target list on 2016 April 6, the ASAS-SN transient list included 1518 total transients, 48 of which were flagged as possible M dwarf flares. Of those, five were published in Astronomer's Telegrams (Stanek et al. 2013a, 2013b; Holoien et al. 2014b; Shappee et al. 2016b; Simonian et al. 2016), and two had been examined in detail (Schmidt et al. 2014, 2016). To perform a check on the completeness of the identification of ASAS-SN transient events as flares on M dwarfs, we queried the Sloan Digital Sky Survey (SDSS; York et al. 2000; Aihara et al. 2011), Two Micron All Sky Survey (2MASS; Skrutskie et al. 2006), and Wide-field Infrared Survey Explorer (WISE Wright et al. 2010) photometric databases. We color-selected objects at the positions of ASAS-SN transients that were likely to be M dwarfs based on their i − z colors (when SDSS photometry was available) or their 2MASS and WISE colors (when SDSS photometry was not available). SDSS and 2MASS photometry were subject to the color and quality cuts described in Schmidt et al. (2015), and rizKS magnitudes are included in Table 1. We recovered 25 of the 48 candidates and identified an additional 11 candidates. The 23 transient events originally identified as flares on M dwarfs but not recovered in our search were either missing some data in the ASAS-SN transients page or were flagged for faintness or saturation in one of the surveys. The additional 11 candidates recovered were very similar to M dwarfs but were classified by ASAS-SN as CV outbursts and/or had red J − W2 colors consistent with young accreting stars. We retained the brightest two of those objects (ASASSN-15ep and ASASSN-15af) as a check on the initial classifications.

Table 1.  Properties of ASAS-SN Flare Dwarfs

ASAS-SN Spectral              
ID Type EW (Å) V R I r i z KS
13ba M6 8.4 ± 0.1 17.42 ± 0.01 15.91 ± 0.02 14.21 ± 0.01 16.76 ± 0.02 13.99 ± 0.02 11.45 ± 0.02
13be M4 3.2 ± 1.2 18.40 ± 0.01 17.16 ± 0.01 15.58 ± 0.04 17.83 ± 0.01 16.31 ± 0.01 15.48 ± 0.03 13.31 ± 0.04
13bf M2 2.7 ± 0.1 17.22 ± 0.01 16.19 ± 0.01 15.12 ± 0.01 16.60 ± 0.01 15.70 ± 0.03 15.21 ± 0.03 13.10 ± 0.04
13bg M6 3.6 ± 0.2 17.13 ± 0.01 15.53 ± 0.01 13.91 ± 0.01 16.51 ± 0.01 14.61 ± 0.02 13.54 ± 0.02 10.95 ± 0.02
13bh M5 5.8 ± 0.8 16.71 ± 0.05 15.53 ± 0.02 13.88 ± 0.03 11.70 ± 0.02
13bi M4 1.3 ± 0.1 18.08 ± 0.01 16.67 ± 0.01 15.11 ± 0.01 17.40 ± 0.01 15.87 ± 0.01 15.02 ± 0.01 12.69 ± 0.03
13bk M6 29.1 ± 2.1 18.68 ± 0.01 17.36 ± 0.02 15.65 ± 0.01 18.06 ± 0.02 16.43 ± 0.02 15.54 ± 0.02 13.17 ± 0.04
13bl M3 5.6 ± 0.1 14.83 ± 0.01 13.63 ± 0.01 12.18 ± 0.01 14.15 ± 0.01 12.14 ± 0.02 9.98 ± 0.02
13bn M4 5.0 ± 0.3 17.16 ± 0.02 15.88 ± 0.01 14.39 ± 0.02 16.48 ± 0.01 15.06 ± 0.01 14.28 ± 0.01 11.94 ± 0.02
13bt M7 4.5 ± 0.0 19.14 ± 0.06 17.55 ± 0.06 15.67 ± 0.01 18.68 ± 0.02 16.55 ± 0.01 15.42 ± 0.02 12.78 ± 0.03
13cb M8 26.8 ± 0.5 21.83 ± 0.40 21.23 ± 0.05 18.65 ± 0.02 17.08 ± 0.02 13.91 ± 0.05
13 cm M4 6.1 ± 2.3 16.21 ± 0.03 13.23 ± 0.04 15.41 ± 0.02 13.07 ± 0.02 10.74 ± 0.02
13cr M4 7.0 ± 1.5 14.82 ± 0.02 13.63 ± 0.01 12.20 ± 0.01 9.69 ± 0.02
13de M4 7.4 ± 1.0 18.14 ± 0.02 15.18 ± 0.03 17.57 ± 0.02 16.03 ± 0.02 15.20 ± 0.02 12.84 ± 0.03
13di M5 5.1 ± 0.1 19.97 ± 0.06 18.78 ± 0.05 17.05 ± 0.06 14.80 ± 0.11
13dj M2 <0.75 23.09 ± 0.04 21.80 ± 0.02 20.49 ± 0.02 22.59 ± 0.18 21.22 ± 0.08 20.20 ± 0.14
13dk M5 7.8 ± 3.9 19.91 ± 0.02 18.37 ± 0.02 16.74 ± 0.02 19.17 ± 0.02 17.53 ± 0.02 16.63 ± 0.02 14.33 ± 0.05
14bj M4 2.6 ± 0.6 19.73 ± 0.01 18.32 ± 0.01 16.71 ± 0.01 19.13 ± 0.01 17.52 ± 0.02 16.63 ± 0.02 14.34 ± 0.07
14bm M5 6.5 ± 0.8 20.47 ± 0.01 18.95 ± 0.01 17.28 ± 0.01 19.75 ± 0.02 18.07 ± 0.02 17.15 ± 0.02 14.62 ± 0.10
14bn M4 4.5 ± 1.2 17.40 ± 0.04 14.23 ± 0.01 12.16 ± 0.02
14cx M6 8.2 ± 0.8 19.62 ± 0.02 17.96 ± 0.02 16.24 ± 0.03 13.50 ± 0.03
14dv M6 10.3 ± 0.7 20.72 ± 0.01 18.70 ± 0.08 17.15 ± 0.09 14.60 ± 0.08
14ea M5 9.5 ± 0.1 15.78 ± 0.01 14.38 ± 0.01 13.01 ± 0.01 15.22 ± 0.01 12.61 ± 0.02 10.20 ± 0.02
14fi M5 5.6 ± 1.9 17.21 ± 0.03 14.11 ± 0.04 11.82 ± 0.02
14gj M5 8.5 ± 0.6 20.63 ± 0.05 18.95 ± 0.03 17.05 ± 0.04 14.58 ± 0.08
14gn M5 6.7 ± 1.3 21.38 ± 0.04 19.68 ± 0.02 17.98 ± 0.02 20.57 ± 0.04 18.76 ± 0.02 17.78 ± 0.02 15.03 ± 0.13
14hc K5 <0.75 18.99 ± 0.02 17.59 ± 0.02 15.80 ± 0.03 18.30 ± 0.01 16.59 ± 0.01 15.65 ± 0.01 13.26 ± 0.03
14hz M6 6.9 ± 1.0 20.16 ± 0.02 18.66 ± 0.08 17.16 ± 0.12 14.56 ± 0.08
14ji M7 10.1 ± 5.0 22.42 ± 0.05 20.35 ± 0.02 18.41 ± 0.01 21.54 ± 0.07 19.30 ± 0.02 17.99 ± 0.03 15.05 ± 0.14
14jw M7 6.4 ± 0.2 18.96 ± 0.06 17.34 ± 0.04 15.46 ± 0.04 12.36 ± 0.03
14jy M4 4.8 ± 0.3 15.05 ± 0.01 10.12 ± 0.02
14ke M8 16.4 ± 7.3 21.03 ± 0.04 19.38 ± 0.07 17.60 ± 0.03 14.33 ± 0.08
14lc M9 20.0 ± 0.3 24.20 ± 0.10 21.44 ± 0.03 19.29 ± 0.02 15.17 ± 0.12
14mz M6 5.0 ± 0.0 19.38 ± 0.02 17.68 ± 0.02 15.82 ± 0.03 18.73 ± 0.02 16.73 ± 0.02 15.64 ± 0.02 13.07 ± 0.03
15ep M5 6.8 ± 2.8 19.66 ± 0.03 16.40 ± 0.05 13.88 ± 0.06
15kl M3 2.7 ± 0.4 17.21 ± 0.04 15.92 ± 0.06 14.29 ± 0.07 11.73 ± 0.02
15ll M4 <0.75 22.60 ± 0.03 21.34 ± 0.01 19.91 ± 0.01 22.12 ± 0.09 20.75 ± 0.04 19.82 ± 0.08
15oy M8 9.2 ± 0.3 18.63 ± 0.01 16.54 ± 0.01 14.55 ± 0.01 23.73 ± 1.23 24.36 ± 61.59 21.84 ± 3.38 11.26 ± 0.02
15tv M5 6.6 ± 0.0 19.66 ± 0.01 18.24 ± 0.02 16.44 ± 0.01 18.96 ± 0.02 17.21 ± 0.02 16.27 ± 0.02 13.83 ± 0.04
16ae L0 26.4 ± 0.2 23.05 ± 0.43 19.43 ± 0.03 20.75 ± 0.05 18.87 ± 0.04 15.47 ± 0.21
16cx M9 6.3 ± 0.2 22.67 ± 0.42 22.07 ± 0.12 19.30 ± 0.02 17.67 ± 0.02 14.68 ± 0.09
16di M7 6.6 ± 2.9 20.36 ± 0.01 18.54 ± 0.01 16.72 ± 0.01 19.68 ± 0.02 17.59 ± 0.01 16.35 ± 0.02 13.48 ± 0.05
16dj M4 6.1 ± 0.2 16.03 ± 0.01 14.76 ± 0.01 13.16 ± 0.01 15.30 ± 0.02 13.85 ± 0.02 13.01 ± 0.02 10.81 ± 0.02
16dr M5 6.1 ± 1.4 19.60 ± 0.02 17.84 ± 0.03 15.91 ± 0.04 18.96 ± 0.02 16.84 ± 0.01 15.70 ± 0.01 13.03 ± 0.03
16du M6 5.6 ± 0.1 21.80 ± 0.07 20.37 ± 0.02 18.37 ± 0.01 21.34 ± 0.06 19.16 ± 0.02 18.08 ± 0.03 15.42 ± 0.16
16gt M6 4.9 ± 0.4 17.09 ± 0.02 13.56 ± 0.05 11.12 ± 0.02
16hq M8 9.3 ± 1.7 21.55 ± 0.02 19.27 ± 0.01 17.13 ± 0.01 13.64 ± 0.04
16kq M4 4.5 ± 0.9 18.17 ± 0.01 15.10 ± 0.01 17.44 ± 0.01 15.92 ± 0.01 15.08 ± 0.01 12.81 ± 0.03
GJ 3039 M4 5.0 ± 0.1 12.66 ± 0.01 11.82 ± 0.02

A machine-readable version of the table is available.

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We also added six additional candidate flaring M dwarfs that were observed between 2016 April and 2016 October, for a total list of 55 candidate flaring M dwarfs. Of those, two (ASASSN-13cn and ASASSN-14bk) were not observed because they fell outside color cuts designed to limit the sample to M dwarfs. Our final target list of 53 objects is given in Table 2.

Table 2.  Observation Log

ASAS-SN     Spectroscopy Photometric
Number R.A. Decl. Telescope/Instr ET (s) Bands
13ba 01 17 00.6 −05 06 04.6 Magellan/Baade × 300 VRI
13be 18 04 08.7 +46 56 04.0 MDM × 1800 VRI
13bf 23 06 12.9 −09 42 33.2 Magellan/Baade × 300 VRI
13bg 23 54 22.4 +07 02 48.7 Magellan/Baade × 450 VRI
13bh 01 35 13.7 +18 23 13.9 MDM × 1200 VRI
13bi 14 58 05.5 +02 44 33.6 Magellan/Baade × 600 VRI
13bk 17 08 56.9 +71 51 48.1 MDM × 1800 VRI
13bl 17 28 39.7 +28 25 35.4 MDM × 900 VRI
13bn 23 54 03.3 +37 56 52.6 MDM × 1200 VRI
13bt 15 53 26.1 +48 08 59.4 LBT × 6 × 800 VRI
13 cm 01 46 51.4 −16 52 19.7 du Pont × 1500 VI
13cr 04 36 49.2 −02 49 29.7 MDM × 1200 VRI
13de 04 16 23.4 −05 17 27.9 du Pont × 1800 VI
      MDM × 1800  
13di 07 14 51.8 +64 27 02.2 LBT × 4 × 750 VRI
13dj 01 38 15.5 +16 39 43.1 Magellan/Baade × 1800 VRI
13dk 09 46 23.8 +19 55 10.6 Magellan/Baade × 1500 + 1 × 1800 VRI
14aa 09 18 51.4 +19 27 33.6 Magellan/Baade × 2500 VRI
14be 11 31 24.9 +04 41 16.5 Magellan/Baade × 2500 VRI
14bj 14 49 37.7 +16 56 56.9 Magellan/Baade × 1200 VRI
14bm 14 22 13.3 +03 03 04.2 Magellan/Baade × 1200 VRI
14bn 01 22 42.7 −29 11 18.4 du Pont × 1800 VI
14cx 18 04 00.0 +20 56 46.2 Magellan/Baade × 750 VRI
14dv 01 50 38.4 −24 23 56.4 Magellan/Baade × 1200 VRI
14ea 21 55 17.5 −00 45 49.3 Magellan/Baade × 300 VRI
14fi 02 03 32.9 −67 31 26.8 du Pont × 1500 VI
14gj 03 12 15.7 +26 04 40.6 Magellan/Baade × 800 VRI
14gn 23 10 11.1 +24 02 17.1 Magellan/Baade × 1200 VRI
14hc 23 55 51.1 +24 48 51.9 MDM × 1800 VRI
14hz 20 45 26.6 −34 03 39.9 Magellan/Baade × 1200 VRI
14ji 04 05 51.4 −11 19 17.0 Magellan/Baade × 1500 VRI
14jw 21 47 18.3 −41 16 20.8 Magellan/Baade × 600 VRI
14jy 07 06 58.9 −62 21 10.9 du Pont × 750 VI
14ke 02 19 08.2 +11 07 45.9 Magellan/Baade × 1200 VRI
14lc 12 02 29.6 +24 12 12.4 LBT × 4 × 1500 VRI
14mz 08 51 13.9 +19 12 21.5 LBT × 3 × 800 VRI
15af 01 57 54.9 −54 30 37.9 Magellan/Baade × 600 VRI
      du Pont × 1800  
      du Pont × 1800  
15ep 08 21 06.2 −72 20 11.2 du Pont × 1800 VI
15kl 16 06 14.8 −04 35 49.7 Magellan/Baade × 300 VRI
15ll 22 40 02.7 +26 30 45.1 Magellan/Baade × 1800 VRI
      LBT × 4 × 1200 VRI
15oy 02 48 35.7 +19 16 26.6 Magellan/Baade × 1000 VRI
15tv 01 35 11.7 +26 25 38.8 LBT × 3 × 800 VRI
16cx 16 11 58.5 +54 56 42.9 LBT × 2 × 1200
16di 14 16 36.4 +01 52 05.7 Magellan/Baade × 1200 VRI
16dj 10 07 17.7 +69 20 46.2 MDM × 1200 VRI
16dr 12 27 04.2 +25 41 01.6 Magellan/Baade × 1800 VRI
16du 07 53 11.6 +28 16 42.4 LBT × 6 × 1200 VRI
16gt 10 37 02.4 −18 27 44.8 du Pont × 1500 BVI
16hl 16 04 55.2 −72 23 18.3 du Pont × 1500 VI
16hq 16 05 16.5 +00 07 05.5 Magellan/Baade × 1200 VRI
16kq 08 09 33.9 +02 15 39.7 du Pont × 1800 + 1 × 1500 BVI
GJ 3039 00 32 34.9 +07 29 26.5 du Pont × 300 V

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3. Observations

We obtained follow-up optical photometry and spectroscopy to characterize the host stars of the 53 candidate M dwarfs and flare events detected by ASAS-SN.

3.1. Photometry

We obtained follow-up VRI photometry for the majority of our sources, both to aid in source classification (combined with survey photometry) and to provide quiescent V-band measurements to compare to the V-band flare detections. Typically, the photometry was obtained when acquiring sources for spectroscopic observations. We obtained optical imaging using the Inamori-Magellan Areal Camera and Spectrograph (IMACS; Dressler et al. 2011) on the Baade-Magellan 6.5 m telescope, the Ohio State Multi-Object Spectrograph (OSMOS; Martini et al. 2011) on the MDM Observatory Hiltner 2.4 m telescope, and the Wide Field Reimaging CCD Camera (WFCCD) on the Irénée du Pont 100-inch Telescope. All data were reduced with standard routines in the IRAF ccdred package. We performed aperture photometry on the reduced images using the IRAF apphot package. The data were calibrated using SDSS (York et al. 2000) Data Release 7 (Abazajian et al. 2009) data when available and using the AAVSO Photometric All-Sky Survey (APASS; Henden & Munari 2014) when SDSS was unavailable. When using SDSS, the Sloan filters were transformed onto the Johnson–Cousins magnitude system using transformations presented by Robert Lupton.16 The resulting photometry is presented in Table 1.

We initially identified flares based on quick photometry from ASAS-SN images. To examine the light curves in more detail, we performed aperture photometry at the location of each flare as described in Kochanek et al. (2017). Briefly, the photometry is done using the IRAF apphot package and calibrated to APASS (Henden & Munari 2014). However, for ASASSN-13be there is a nearby blended star, and so we performed aperture photometry on subtracted images, calibrated to APASS, and then added back in the quiescent flux as measured from our higher-resolution OSMOS images. We also examined the ASAS-SN light curve for each source to look for additional flares and to characterize the flares detected by ASAS-SN (see Section 4). In addition to the original flares that triggered an ASAS-SN classification, we detected six additional significant (${\rm{\Delta }}V\lt -1.0$) flares on five stars, which we include in our analysis. The photometry of each flare, along with 3σ upper limits for images within ∼24 hr of each flare event, is presented in Table 3.

Table 3.  ASAS-SN Photometry of Flares

ASAS-SN UT V
Number Date 3σ Limit Detection
13ba 2013 Jun 28.5679994 16.71
  2013 Jun 28.5693679 16.54
  2013 Jul 2.5574708 16.22 12.04 ± 0.01
  2013 Jul 2.5588631 16.39 12.40 ± 0.01
  2013 Jul 5.5604776 17.53
  2013 Jul 5.5618807 17.50
13be 2013 Jul 5.4018670 18.04
  2013 Jul 5.4032605 18.22 18.19 ± 0.35
  2013 Jul 6.4012965 17.98 16.02 ± 0.06
  2013 Jul 6.4026820 18.08 16.25 ± 0.07
  2013 Jul 8.3802245 17.87

Note. Example table provided for guidance; full table available online.

Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.

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3.2. Spectroscopy

To confirm the stellar nature of the M dwarf candidates and to characterize them in terms of spectral type and quiescent chromospheric activity (through the Hα emission line), we obtained low-resolution (R ∼ 2000–4000) optical spectra from the du Pont, MDM, Baade-Magellan, and LBT telescopes. The instruments and telescopes used for each target are listed in Table 2. We adopted the spectra for ASASSN-13cb and ASASSN-16ae described by Schmidt et al. (2014) and Schmidt et al. (2016), respectively.

We obtained optical spectroscopy for bright southern sources on the Irénée du Pont telescope at the Las Campanas Observatory (LCO). We used the Wide Field CCD in long-slit grism mode yielding a wavelength range of 370–910 nm and a resolution of 8 Å. We obtained optical spectroscopy for faint southern sources using IMACS (Dressler et al. 2011) on the Baade-Magellan 6.5 m telescope. We observed candidates with the F/2 camera, 0farcs7–0farcs9 slits, 300 line mm−1 grism at a blaze angle of 17fdg5, yielding a wavelength range of 390–800 nm and a dispersion of ∼1.3 Å pixel−1. Optical spectroscopy for bright northern sources was obtained using OSMOS (Martini et al. 2011) on the MDM Observatory Hiltner 2.4 m telescope. We observed candidates with 0farcs9–1farcs2 slits and VPH grism, yielding a wavelength range of 390–680 nm and R ∼ 1600.

We reduced the spectra from Magellan, du Pont, and MDM using standard IRAF routines, supplemented by cosmic-ray removal using the LA cosmic detection algorithm (van Dokkum 2001). Wavelength calibration for Magellan and DuPont used arc lamps taken at the position of the observations and resulted in solutions good to 0.1–0.3 pixels. For MDM, arc lamps were typically taken once per night, resulting in wavelength solutions good to 0.5 pixels with 1–4 pixel offsets that we corrected using the Hα emission line. No radial velocity standards were taken with any telescope, so measuring velocities from the spectra was not attempted. For all three telescopes, we performed flux calibration using observations of a single flux standard per night.

We obtained spectra for the faintest northern sources with the Multi-Object Double Spectrograph 1 (MODS1; Pogge et al. 2010) mounted on the dual 8.4 m Large Binocular Telescope (LBT) on Mt. Graham. The MODS data were reduced with a combination of the modsccdred17 python package and the modsidl pipeline.18 The reductions included bias subtraction, flat-fielding, 1D spectral extraction, wavelength calibration using an arc lamp, and flux calibration using a spectroscopic standard taken the same night.

We assigned optical spectral types to each star based on comparison to the Bochanski et al. (2007) SDSS spectroscopic templates, deconvolved to the resolution of each observed spectrum. The majority of spectra covered the wavelength range 5500–9000 Å, and spectral types were selected based on matching spectral slope, molecular bands, and atomic features over that entire spectral range. The MDM spectra covered 4600–6800 Å, and due to inconsistent normalization and low flux on the blue end, spectral types were assigned based on 5500–6800 Å. Of the 53 stars, 47 were classified as M dwarfs with types M2–M9, as listed in Table 1, along with one K5 dwarf (ASASSN-14he) and one L0 dwarf (ASASSN-16ae; Schmidt et al. 2016). Spectra for all M and L dwarfs are shown compared to their best-fit templates in Figure 1. Spectral classifications for the stars are given in Table 1, and photometry for the other objects is given in Table 4. We include the L0 dwarf in our statistics and results because its chromospheric activity is not expected to be distinct from that of the 10 M7–M9 dwarfs included in the sample. We exclude the K5 dwarf because it is significantly more massive than the rest of the sample (types M2 and later).

Figure 1.

Figure 1.

Normalized spectrum compared to best-fit M dwarf template, with important molecular and atomic features labeled. The complete figure set (48 images) is available in the online journal. (The complete figure set (48 images) is available.)

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Table 4.  M Dwarf Contaminants

ASAS-SN Other Photometry
Number Designation J H KS W1 W2
ASASSN-15af 2MASS J01575499–5430367 15.13 ± 0.04 14.63 ± 0.04 14.27 ± 0.06 14.15 ± 0.03 13.92 ± 0.03
ASASSN-16hl 2MASS J16045515–7223199 14.14 ± 0.03 13.43 ± 0.03 13.30 ± 0.04 12.92 ± 0.03 12.81 ± 0.03

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In addition to these ASAS-SN flare stars, we also observed one previously identified T Tauri star (see Section 6.3) and one newly identified young star (see Section 6.5). For one faint object, ASASSN-14aa, the spectrum of a V = 23.4 mag source close to the ASAS-SN position is not stellar, and upon further examination the real source of the outburst is likely to be a V = 25.2 mag point source nearby. Follow-up Magellan photometric observations of another faint source, ASASSN-14be, was unable to identify any source consistent with the ASAS-SN position. We place 5σ limits of V > 25.6 mag, R > 24.9 mag, and I > 23.6 mag at the position of ASASSN-14be, making its counterpart significantly too faint to obtain a spectrum of sufficient quality to provide a spectral type. Because the stellar photometry meets color selection criteria for M dwarfs, ASASSN-14aa and ASASSN-14be are likely to be ΔV < −10 mag flares on distant M dwarfs. We do not include them in this analysis owing to the lack of spectroscopic observations.

4. Calculating Flare Energies

The magnitudes for each observation of the 55 flares detected on 49 objects are given in Table 3. Each ASAS-SN flare detection includes between one and six individual observations. Most of these observations span ∼2–8 minutes, with only three flares (including ASASSN-13cb; Schmidt et al. 2014) having additional ASAS-SN detections within less than a day. Typically, there are nondetections or detections at the quiescent (nonflaring) magnitude ∼24–48 hr before and after the event, but these data points do not provide useful constraints on flares, which typically last 1–6 hr (Davenport et al. 2014b). To examine the data from each flare, we first convert both the quiescent and flaring V-band magnitudes to V-band fluxes and then subtract the quiescent flux from all flare data to obtain flare-only fluxes.

Distance is an essential factor in converting flare fluxes to energies. We obtained distances (given in Table 5) for 42 of the 49 stars via a cross-match to the Bailer-Jones et al. (2018) catalog of distances derived from Gaia DR2 parallaxes (Gaia Collaboration et al. 2018; Lindegren et al. 2018). These Gaia distances have uncertainties of 1% for the brighter (V < 19) stars and closer to 7% for the fainter stars. The remaining seven stars include the nearby binary star GJ 3039, the four faintest M dwarfs, and two stars that have poor astrometric solutions owing to nearby background objects. We calculated distances for the remaining stars in our sample using available photometry. For four of the dwarfs, we combined our V-band photometry with 2MASS KS band to use the V − KS relation from Henry et al. (2004). For the three dwarfs without reliable KS or Gaia matches, we used high-quality SDSS photometry to calculate distances. For the faint early- M dwarfs ASASSN-13dj and ASASSN-15ll, we used the r − z relation from Bochanski et al. (2011) to derive distances, and for the L0 ASASSN-16ae, we adopted the distance calculated in Schmidt et al. (2016) from a combination of eight different photometric distance relations. The photometric distances have a mean uncertainty of 18%. Because we examined only the brightest flares, the ASAS-SN flare sample is biased toward nearby objects; the majority (43 of 49 objects) are located within 200 pc, with five additional objects between 200 and 400 pc, and only ASASSN-13dj and ASAS-SN15ll (1090 ± 220 pc and 1000 ± 190 pc, respectively) found at larger distances.

Table 5.  Kinematics

ASAS-SN Kinematics d (pc) z (pc) ${\mu }_{\alpha }\cos (\delta )$ μδ Vtan
Number Source     (mas yr−1) (mas yr−1) (km s−1)
13ba Gaia 113.4 ± 2.1 −89.4 154.8 ± 0.3 67.7 ± 0.1 91.4 ± 1.7
13be Gaia 127.1 ± 1.3 73.1 −131.7 ± 0.1 −142.1 ± 0.2 117.5 ± 1.2
13bf Gaia 339.5 ± 9.6 −278.2 −16.3 ± 0.1 −25.7 ± 0.1 49.2 ± 1.4
13bg Gaia 52.9 ± 0.4 −27.3 23.2 ± 0.2 97.6 ± 0.1 25.3 ± 0.2
13bh Gaia 144.4 ± 2.4 −83.8 −9.9 ± 0.2 3.7 ± 0.2 7.3 ± 0.2
13bi Gaia 106.3 ± 0.9 97.7 8.0 ± 0.1 −21.7 ± 0.1 11.7 ± 0.1
13bk Gaia 183.4 ± 3.1 116.5 −16.3 ± 0.2 29.9 ± 0.2 29.8 ± 0.6
13bl Gaia 43.9 ± 0.1 36.6 11.5 ± 0.1 51.5 ± 0.1 11.1 ± 0.0
13bn Gaia 177.5 ± 3.8 −55.8 −11.2 ± 0.1 9.8 ± 0.1 12.6 ± 0.3
13bt Gaia 171.7 ± 18.8 144.7 −45.6 ± 1.1 44.9 ± 1.4 52.4 ± 5.9
13cb Gaia 75.6 ± 2.9 −31.9 125.9 ± 1.0 −22.6 ± 0.9 46.2 ± 1.9
13 cm Gaia 59.1 ± 0.2 −41.7 54.0 ± 0.1 16.6 ± 0.1 15.9 ± 0.1
13cr Gaia 112.1 ± 5.0 −42.6 29.6 ± 0.7 −20.6 ± 0.4 19.3 ± 1.0
13de Gaia 151.1 ± 2.1 −75.0 1.0 ± 0.1 −9.1 ± 0.1 6.6 ± 0.1
13di Gaia 381.8 ± 32.4 187.6 −3.2 ± 0.3 −0.9 ± 0.3 6.0 ± 0.9
13dj r-z/2M-W 1086.7 ± 217.0 −749.1
13dk V-K/2M-W 189.9 ± 34.7 154.6 29.2 ± 7.7 −20.6 ± 5.5 32.4 ± 10.4
14bj Gaia 185.3 ± 6.7 176.7 −8.3 ± 0.4 −44.0 ± 0.3 39.6 ± 1.5
14bm Gaia 263.8 ± 24.2 237.4 −5.8 ± 0.7 −10.1 ± 0.6 14.7 ± 1.8
14bn Gaia 83.0 ± 0.6 −67.3 −76.9 ± 0.2 −6.6 ± 0.1 30.5 ± 0.2
14cx Gaia 136.8 ± 2.7 60.5 5.4 ± 0.2 −6.6 ± 0.3 5.5 ± 0.2
14dv Gaia 176.6 ± 11.7 −156.6 54.1 ± 0.6 20.5 ± 0.4 48.8 ± 3.3
14ea Gaia 56.5 ± 0.3 −21.5 63.8 ± 0.1 −54.8 ± 0.1 22.7 ± 0.1
14fi Gaia 123.5 ± 0.8 −77.0 16.2 ± 0.1 23.7 ± 0.1 16.9 ± 0.1
14gj Gaia 193.3 ± 14.7 −72.2 −14.9 ± 0.8 −10.8 ± 0.6 17.0 ± 1.6
14gn Gaia 199.8 ± 17.1 −94.7 −34.7 ± 0.8 −24.6 ± 0.6 40.5 ± 3.6
14hc Gaia 111.3 ± 1.9 −50.9 −35.9 ± 0.3 −7.3 ± 0.1 19.4 ± 0.4
14hz Gaia 186.3 ± 11.0 −98.4 18.4 ± 0.5 5.4 ± 0.4 17.0 ± 1.2
14ji Gaia 175.4 ± 20.1 −101.7 −10.3 ± 0.9 −45.3 ± 0.7 38.9 ± 4.6
14jw Gaia 47.9 ± 0.4 −21.7 −198.4 ± 0.3 −126.3 ± 0.4 53.8 ± 0.5
14jy Gaia 46.3 ± 0.1 −2.4 −4.8 ± 0.1 −39.1 ± 0.1 8.7 ± 0.0
14ke Gaia 142.6 ± 24.7 −87.8 60.7 ± 1.1 −13.3 ± 0.9 42.3 ± 7.4
14lc V-K/2M-W 91.3 ± 17.4 104.5 51.0 ± 15.3 13.9 ± 7.1 23.0 ± 8.5
14mz V-K/2M-W 74.4 ± 13.5 57.5 68.9 ± 3.7 −9.9 ± 7.8 24.7 ± 5.4
15ep Gaia 159.3 ± 3.7 −37.9 −17.0 ± 0.2 41.9 ± 0.3 34.4 ± 0.8
15kl Gaia 65.8 ± 0.5 51.0 74.5 ± 0.2 −44.1 ± 0.1 27.2 ± 0.2
15ll r-z/2M-W 999.1 ± 185.5 −450.1
15oy Gaia 24.9 ± 0.1 0.5 248.4 ± 0.2 −124.7 ± 0.2 33.1 ± 0.1
15tv Gaia 148.3 ± 4.2 −70.8 36.2 ± 0.4 −14.1 ± 0.3 27.5 ± 0.8
16ae Schmidt et al. (2016)/2M-W 96.5 ± 23.1 −13.2 126.5 ± 11.7 157.3 ± 26.3 92.9 ± 25.9
16cx Gaia 79.7 ± 2.8 70.9 −20.4 ± 1.2 75.3 ± 0.8 29.6 ± 1.2
16di Gaia 137.2 ± 10.6 130.7 −10.9 ± 1.0 −19.2 ± 0.7 14.4 ± 1.4
16dj Gaia 52.5 ± 0.1 49.9 −18.1 ± 0.1 23.1 ± 0.1 7.3 ± 0.0
16dr Gaia 100.0 ± 4.0 114.5 −13.6 ± 0.4 −5.9 ± 1.1 7.1 ± 0.6
16du Gaia 237.6 ± 48.5 116.3 −2.1 ± 1.2 −24.9 ± 0.6 28.3 ± 6.0
16gt Gaia 28.5 ± 0.1 30.9 −421.1 ± 0.1 −25.5 ± 0.1 57.3 ± 0.2
16hq Gaia 108.7 ± 5.4 79.1 −51.9 ± 0.8 −14.6 ± 0.6 28.0 ± 1.5
16kq Gaia 107.0 ± 1.5 48.9 −55.7 ± 0.2 11.2 ± 0.1 29.0 ± 0.4
GJ 3039 V-K/2M-W 10.6 ± 1.9 6.3 −95.7 ± 7.3 75.5 ± 3.5 6.2 ± 1.2

A machine-readable version of the table is available.

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4.1. Lower Limits on V-band Flare Energies

The survey strategy of ASAS-SN—acquiring two or three 90 s dithers on a field before moving on to another field—does not allow for a detailed analysis of flare light curves, but the data are sufficient to place accurate lower limits on the V-band flare energy. Given a single detection that indicates a flare-type brightening, the lowest-energy flare that could correspond to that observation is a simple, classical flare with the peak of the flare occurring during that single observed point. We calculate the flare energy based on the fit of a simple, classical flare to the data and refer to it as a lower limit because other light curves that fit the points have a higher energy (see Section 4.4.1).

For the simple, classical flare, we draw on the Davenport et al. (2014b) empirical flare template, which parameterizes the flare as a fast rise phase

Equation (1)

and a two-component exponential decay phase

Equation (2)

The flare is entirely characterized by the flare amplitude (Famp) and the half-light decay timescale (t1/2). Davenport et al. (2014b) created this flare template from the co-added light curves of the 885 simple, classical flares found in Kepler data for M4 GJ 1243, the most active M dwarf in the original Kepler field. In addition to Famp and t1/2, the agreement between the flare template and the flare observations depends sensitively on the position of the template peak relative to the integration times of the observed data point. Because we are calculating the lower limit on the V-band flare energy, we assume that the actual flare peak occurred during the ASAS-SN observations, and let the exact position of the template peak vary between the times of the first and last observed data points.

To estimate the best fit of the flare template to the observations, we first generated 400 flare light curves with t1/2 varying from 10 to 2000 s in increments of 5 s. We integrated the flare light curve over the exposure time for each data point (90 s), varying the position of the peak from the beginning of the first exposure to the end of the last exposure in increments of 1 s. For each combination of peak position and t1/2 we compared the integrated fluxes to the data points, accepting the parameters where the normalized integrated light curve fell within the 1σ uncertainties of the observed fluxes.

The parameter space where the flare template and observations are in agreement is not distributed normally with respect to t1/2 or peak position, so we adopt the median values as the best-fit result and the interquartile range as the asymmetric uncertainties. We obtain the V-band energy released from the best-fit flare template by integrating over total flare time and multiplying by the distance factor (d2) and V-band central wavelength (5500 Å). The resulting V-band energy is then a lower limit of the observed ASAS-SN flare. These lower limits on the V-band energy range from $\mathrm{log}({E}_{V}/\mathrm{erg})=32$ to 35 and are shown as a function of spectral type in Figure 2 and listed in Table 6.

Figure 2.

Figure 2. The log of the lower limit on V-band energy ($\mathrm{log}({E}_{V})$) as a function of spectral type. The lower-energy flares from M dwarfs with multiple flares (gray points, light-green histogram) are distinguished from the main sample of flares (black points, dark-green histogram). The lower-limit V-band energies range from $\mathrm{log}({E}_{V}/\mathrm{erg})=32$ to 35 and are set by the detection limit of ASAS-SN (∼V < 16.5 mag, as shown in the red dashed lines). The spectral type distribution (dark blue) is comparable to a distribution drawn from the Bochanski et al. (2011) M dwarf luminosity function (light-blue dot-dashed line), where M3 and earlier dwarfs are underrepresented owing to the ASAS-SN detection limits. The lack of flares in the lower left corner is an observational effect; these flares would likely be smaller than ΔV = −1.0 (as shown by the orange line) and so unlikely to be found in the ASAS-SN search.

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Table 6.  Flare Properties

ASAS-SN Quiescent Flare ΔV Flare No. Fit From thalf Relation
Number V Peak V   Type Flare thalf log(EV) [log(erg)] thalf log(EV)
          Obs. (s) IQ 1 Median IQ 3 (s) [log(erg)]
13ba 17.42 ± 0.01 12.04 ± 0.01 −5.38 ± 0.01 decay 2 309 34.33 34.43 34.47 1927 35.14
13be 18.40 ± 0.01 16.02 ± 0.06 −2.38 ± 0.06 decay 2 509 32.95 33.04 33.13 573 33.09
13bf 17.22 ± 0.01 14.33 ± 0.03 −2.89 ± 0.03 rise 2 443 34.45 34.58 34.65 1942 35.15
13bg 17.13 ± 0.01 14.82 ± 0.04 −2.31 ± 0.04 rise 4 1373 33.07 33.21 33.28 458 32.71
13bh 16.71 ± 0.05 13.94 ± 0.02 −2.76 ± 0.05 decay 2 282 33.71 33.81 33.85 1217 34.36
13bi 18.08 ± 0.01 14.81 ± 0.03 −3.27 ± 0.04 rise 2 1261 33.66 33.83 33.92 760 33.57
13bk 18.68 ± 0.01 15.11 ± 0.07 −3.57 ± 0.07 single 1 1008 34.04
13bl 14.83 ± 0.01 13.17 ± 0.01 −1.66 ± 0.02 decay 2 972 33.40 33.50 33.55 650 33.30
13bn 17.16 ± 0.02 15.08 ± 0.06 −2.08 ± 0.06 rise 2 1315 33.97 34.13 34.21 953 33.95
13bt 19.14 ± 0.06 14.62 ± 0.03 −4.52 ± 0.07 rise 2 236 33.50 33.63 33.74 1132 34.24
13cb 21.97 ± 0.15 12.85 ± 0.01 −9.13 ± 0.15 decay 7 270 33.61 33.70 33.75 1137 34.25
13 cm 16.21 ± 0.03 13.43 ± 0.02 −2.78 ± 0.04 decay 4 545 33.39 33.49 33.54 777 33.60
13cr 14.82 ± 0.02 12.41 ± 0.01 −2.41 ± 0.02 rise 2 1471 34.73 34.86 34.92 1640 34.86
13de 18.14 ± 0.02 15.38 ± 0.05 −2.76 ± 0.06 rise 2 877 33.59 33.71 33.78 799 33.65
13di 19.97 ± 0.06 16.00 ± 0.11 −3.97 ± 0.12 rise 2 1283 34.32 34.46 34.54 1262 34.42
13dj 23.09 ± 0.04 17.35 ± 0.23 −5.74 ± 0.24 decay 2 1188 34.60 34.80 34.90 1702 34.93
13dk 19.91 ± 0.02 15.81 ± 0.11 −4.10 ± 0.11 rise 2 562 33.45 33.58 33.66 833 33.72
14bj 19.73 ± 0.01 16.71 ± 0.13 −3.02 ± 0.13 rise 2 838 33.18 33.31 33.42 608 33.19
14bm 20.47 ± 0.01 16.10 ± 0.09 −4.37 ± 0.09 decay 2 1245 33.94 34.08 34.19 953 33.95
14bn 17.40 ± 0.04 14.46 ± 0.04 −2.94 ± 0.05 decay 2 290 33.03 33.13 33.18 711 33.45
14cx 19.62 ± 0.02 14.33 ± 0.03 −5.29 ± 0.04 decay 2 1254 34.11 34.21 34.30 1065 34.13
14dv 20.72 ± 0.01 14.67 ± 0.06 −6.05 ± 0.06 decay 2 614 33.88 33.99 34.09 1143 34.25
14ea 15.78 ± 0.01 13.77 ± 0.02 −2.01 ± 0.02 decay 2 360 33.02 33.12 33.16 658 33.32
    14.69 ± 0.04 −1.09 ± 0.05 decay 2 336 32.49 32.59 32.65 447 32.67
14fi 17.21 ± 0.03 13.58 ± 0.03 −3.63 ± 0.04 rise 2 1317 34.34 34.45 34.51 1245 34.40
14gj 20.63 ± 0.05 15.68 ± 0.06 −4.95 ± 0.08 decay 2 355 33.37 33.46 33.53 882 33.82
14gn 21.38 ± 0.04 15.80 ± 0.25 −5.58 ± 0.25 rise 2 1061 33.66 33.83 33.97 871 33.79
    15.88 ± 0.08 −5.50 ± 0.09 rise 2 637 33.53 33.65 33.73 848 33.75
14hc 18.99 ± 0.02 14.10 ± 0.04 −4.89 ± 0.04 decay 2 181 33.29 33.39 33.44 993 34.02
14hz 20.16 ± 0.02 15.42 ± 0.06 −4.74 ± 0.06 decay 2 699 33.67 33.78 33.89 932 33.91
14ji 22.42 ± 0.05 16.92 ± 0.23 −5.50 ± 0.23 rise 3 1260 33.24 33.34 33.43 559 33.05
    16.19 ± 0.13 −6.23 ± 0.14 decay 2 76 32.54 32.64 32.72 703 33.43
14jw 18.96 ± 0.06 14.54 ± 0.04 −4.42 ± 0.07 decay 2 981 32.98 33.10 33.20 485 32.81
14jy 15.05 ± 0.01 12.10 ± 0.01 −2.95 ± 0.01 decay 2 1421 34.09 34.21 34.28 1005 34.04
    12.05 ± 0.01 −3.00 ± 0.01 rise 2 379 33.57 33.70 33.78 1020 34.06
    13.72 ± 0.02 −1.33 ± 0.02 rise 4 1321 33.28 33.42 33.51 548 33.02
14ke 21.03 ± 0.04 15.29 ± 0.06 −5.74 ± 0.07 decay 2 143 32.95 33.04 33.10 811 33.67
14lc 24.20 ± 0.10 14.86 ± 0.07 −9.34 ± 0.12 decay 2 97 32.61 32.70 32.76 686 33.39
14mz 19.38 ± 0.02 13.17 ± 0.01 −6.21 ± 0.02 decay 2 548 33.74 33.84 33.88 1016 34.05
    16.89 ± 0.28 −2.49 ± 0.28 middle 3 1078 32.32 32.51 32.64 303 32.03
15ep 19.66 ± 0.03 15.68 ± 0.16 −3.98 ± 0.16 decay 2 1177 33.59 33.77 33.89 767 33.58
15kl 17.21 ± 0.04 14.64 ± 0.05 −2.57 ± 0.06 decay 2 909 33.16 33.27 33.37 569 33.08
15ll 22.60 ± 0.03 14.89 ± 0.04 −7.71 ± 0.05 decay 2 151 34.82 34.92 34.97 3493 36.15
15oy 18.63 ± 0.01 13.92 ± 0.04 −4.71 ± 0.04 decay 3 1401 32.88 32.93 32.97 378 32.39
15tv 19.66 ± 0.01 13.61 ± 0.02 −6.05 ± 0.02 decay 3 341 34.02 34.04 34.05 1415 34.61
16ae 23.75 ± 0.34 13.51 ± 0.02 −10.24 ± 0.34 decay 3 595 33.69 33.86 33.99 1090 34.17
16cx 22.81 ± 0.18 15.01 ± 0.04 −7.80 ± 0.19 decay 3 1082 33.34 33.39 33.45 597 33.16
16di 20.36 ± 0.01 15.79 ± 0.07 −4.57 ± 0.07 decay 6 1533 33.67 33.74 33.79 672 33.36
16dj 16.03 ± 0.01 12.29 ± 0.01 −3.74 ± 0.01 decay 3 668 33.90 33.92 33.93 1045 34.10
16dr 19.60 ± 0.02 13.87 ± 0.02 −5.73 ± 0.03 decay 3 1157 33.87 34.06 34.18 996 34.02
16du 21.80 ± 0.07 16.17 ± 0.14 −5.63 ± 0.16 decay 3 1222 33.78 33.93 34.03 871 33.79
16gt 17.09 ± 0.02 12.69 ± 0.01 −4.40 ± 0.02 decay 3 253 32.90 32.91 32.92 609 33.19
16hq 21.55 ± 0.02 13.35 ± 0.02 −8.20 ± 0.03 decay 3 469 33.98 34.00 34.01 1242 34.39
16kq 18.17 ± 0.01 14.56 ± 0.04 −3.61 ± 0.04 decay 3 1096 33.64 33.82 33.95 829 33.71
GJ 3039 12.66 ± 0.01 11.66 ± 0.01 −1.00 ± 0.01 decay 2 1142 32.73 32.82 32.87 362 32.33

A machine-readable version of the table is available.

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We examined the observations and the range of best-fit template curves for each flare to classify each set of data points as occurring during the rise or decay phase of each flare. We found that of the 54 flares with more than one photometric observation, we observed the rise phase 16 times, observed the decay phase 37 times, and caught the peak in the middle of three observations for one flare. Over the course of an entire flare, the decay phase is roughly 12 times longer than the rise phase (Davenport et al. 2014b). It is unlikely that we are observing the end of the decay phase, however, since flares are much fainter then. The ratio of decay phase to rise phase observed for the ASAS-SN sample (2.31) corresponds to the ratio of decay phase to rise phase for the flare template if it is only visible at 52% or more of its peak value. Hence, the balance of observations occurring during rise versus decay is a good indicator that we are likely observing most flares close to their peak values.

4.2. Flare Timescales

The timescales for each flare are determined from one or two points. To test whether the resulting flare timescales are reasonable, we compare to the correlations between flare energy and flare length found in high-cadence M dwarf observations from Kepler data (Hawley et al. 2014; Silverberg et al. 2016). They derive two linear relationships, one for classical flares and one for multipeaked complex flares. Each relationship has an expected error of a few percent, but the data span an order of magnitude above and below the best-fit line. We convert the relationship between flare duration and Kepler-band energy to t1/2 and V-band energy assuming t1/2 = 0.14 × tduration (Davenport 2016) and a flare spectral energy distribution of a 10,000 K blackbody (see, e.g., Kowalski et al. 2013) to convert energies between the two bands (${E}_{{Kepler}}=1.9{E}_{V}$). Figure 3 shows the relationship between timescale and flare energy compared to the timescales and energies derived from the fitting procedure described in the previous section. We also calculate energies for each flare based on that relationship; because flare energy and t1/2 are dependent on each other, we calculate them iteratively until the change in the log of energy is less than 0.01 between steps. The final values (given in Table 6) fall within an order of magnitude of those based on the fitting procedure and are on average a few percent stronger.

Figure 3.

Figure 3. Flare timescale (${t}_{1/2}$) as a function of the log of the best-fit V-band energy. The ASAS-SN M dwarf flares are compared to estimates of flare timescale based on the correlation between total flare duration and Kepler flare energy from Hawley et al. (2014) and Silverberg et al. (2016), shown for both classical (green) and complex (blue) flares. Each relationship has an expected error on the order of a few percent, but the energies the fit is based on span an order of magnitude above and below the fit, shown here with dotted lines. A characteristic saturation limit for Kepler observations of flares on M dwarfs at 10pc is shown, based on the saturated data from GJ 1243 (red dashed line). The majority of Kepler flares analyzed in detail have energies below this line, so the relationships shown are extrapolations for energies greater than $\mathrm{log}({E}_{V}/\mathrm{erg})\gt 32.2$.

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Compared to the relationship from Kepler data, approximately half of the flares have timescales and energies that are in the expected range based on the Kepler flare data, but the remaining half have shorter timescales than expected for flares with their peak flux. The majority of the ASAS-SN flares are higher energy than those observed in Kepler data of GJ 1243, however, so the relationship between duration and energy has been extrapolated to higher energies than it may be applicable. In a sample of ∼20 well-characterized flares, Kowalski et al. (2013) found that larger flares were more impulsive (shorter t1/2) than smaller flares, indicating that the relationship between duration and energy may be shallower at higher flare energies. The relationship between half-light timescale (t1/2) and total duration is also based on a single flare peak and so does not hold for complex flares that have multiple peaks. Complex flares would have shorter measured t1/2 than the expected values for simple flares. Each of these factors leads to an underestimate of the total flare energy, so the V-band energies derived from the light-curve fits are conservative as lower limits.

4.3. Flares with Extra Observations

Three of the ASAS-SN flare M dwarfs had additional observations from the same flare separated by more than a few minutes, and we examine these to better understand the limitations of our fit. For ASASAN-13bg and ASASSN-14jy, this occurred because the stars are positioned on the overlap strip between two different ASAS-SN fields, resulting in two sets of observations separated by ∼15 minutes. For ASASSN-13cb, the additional observations were an effort to obtain follow-up data for this dramatic transient event (see Schmidt et al. 2014). During our fitting procedure, we excluded points farther than 1000 s from the peak to focus on the data from a single telescope pointing, so the fits for those three objects are based on a subset of the available data. The light curves and fits for these objects are shown in Figure 4.

Figure 4.

Figure 4. V-band flare flux from ASASSN-13bg (top), ASASSN-13cb (middle), and ASASSN-14jy (bottom) as a function of time, with the inset showing the same data near the peak of the flare. The flare observations are shown (black points with uncertainties), as well as the quiescent flux value (black dashed line). The best-fit flare template is shown (dark-green line and points) with its uncertainties (light-green shaded area), as well as a flare template based on the relationship between total energy and timescale from Kepler data (orange line and points; see Section 4.2). The data points generated from each of these light curves integrated over a 90 s exposure time are also shown. For ASASSN-13bg and ASASSN-13cb, the data points far from the peak do not fall near the best-fit curve, but for ASASSN-14jy they do.

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The best fit to ASASSN-13bg is based on two observations at the end of the rise phase of the flare, and there are two additional observations taken before the peak of the flare that fall above the model. To fit the later observations would require a longer t1/2 than the model shown, but the current best-fit parameters already have a long half-light timescale (t1/2 = 1373 s) compared to the V-band energy ($\mathrm{log}({E}_{V}/\mathrm{erg})=32.7$). Because they fall so far from the best fit to the peak observations, it is more likely that the points excluded from the fit are part of a different peak in the same flare. While the precursor peak could be very strong, a minimum fit to it would also be nearly an order of magnitude less energetic than the main flare and only contribute an additional few percent to the total energy.

The best fit to ASASSN-13cb is based only on the two observations near the peak, not including two additional observations taken over 2 hr later. This resulted in a relatively short half-light timescale (t1/2 = 270 s) and a V-band energy ($\mathrm{log}({E}_{V}/\mathrm{erg})=32.7$) much lower than the original estimate from Schmidt et al. (2014), which included all points but did not have an empirical model for the flare. The timescale calculated from the Kepler relationship between energy and timescale (t1/2 = 2563 s) is an excellent fit to the later data points, however, and corresponds to a much higher energy ($\mathrm{log}({E}_{V}/\mathrm{erg})=34.4$). That timescale is a poor fit for the steep drop between the first two data points.

The match between the best-fit flare template and the observations is much better for ASASSN-14jy, with the points not included in the initial fit falling along the curve representing the lower quartile in uncertainty. This could indicate that the simple flare model is a good fit to at least some of the flares, but additional complexity could have occurred between the detected points.

Given that none of the data points for any of these three flares fall significantly below the best-fit lines, it is reasonable to continue to assume that the fits represent solid lower limits on the V-band flare energies.

4.4. Upper Limits on Flare Energies

While sparse observations can place a strong lower limit on flare energies, the upper limits of the observed flares are less clear. We examine possible upper limits from two different perspectives. First, we examine the variations in flare shape that would also fit the data in the context of previous work. Second, we use FFDs to estimate the probability of more luminous flares.

4.4.1. Constraints on the Flare Shape

In our energy estimates, we used the highest photometric observation as the peak of a classical flare template. We argue that these assumptions are both more likely to lead to a lower estimate of the flare energy and so are valid lower limits. In Figure 5, we use ASASSN-14gj as a reference to demonstrate some possible higher-energy templates. One of the simplest higher-energy flare templates is a classical shape with an earlier peak at a higher flux. We show a flare with a peak at 10 times the observed peak flux, with a decay timescale of 107 s and a total energy of EV = 5.8 × 1033 erg. The timescale is very short for this template, due to the strong difference between the first two points, and would fall well below the relationship shown in Figure 3. The combination of timescale and energy is unlikely to be physically possible because the volume of hot plasma needed to produce the peak luminosity cannot cool that quickly. Thus, assuming a classical flare template and the observed decay between dithered observations, it is likely that we discovered ASASSN-14gj near its peak. Because the timescales of the majority of ASAS-SN flares are already low compared to their energies, a similar argument can be made for the majority of the flares observed.

Figure 5.

Figure 5. V-band flare flux from ASASSN-14gj as a function of time over 0.2 days, with an inset showing flare flux as a function of time over 4 minutes. The flare data are shown (black points with uncertainties), as well as the quiescent value (black dashed line). For each example flare shown, the full light curve is plotted (lines) along with the fluxes integrated over the exposure time of the data (90 s; points with horizontal error bars). The flare timescale fit to the data is shown (dark green line) with its uncertainties (light green shaded area), as well as a flare calculated to fall along the relationship between flare energy and duration found from Kepler data for GJ 1243 (orange dashed line; Hawley et al. 2014; Silverberg et al. 2016). A light curve with a peak at 10 times the observed peak is shown (red dotted lines), and two possible complex flares with multiple peaks are shown (dot-dashed light-blue and triple-dot-dashed dark-blue lines). For reference the log of the V-band energies under each of these curves is given in the legend.

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While it seems likely that most of these flares were observed near their peak, the assumption that all these flares are simple, classical flares is less likely to be true. Davenport et al. (2014b) find that approximately 15% of the flares detected on GJ 1243 are complex, multipeaked events. Hawley et al. (2014) and Silverberg et al. (2016) found that the fraction of complex flares increases with flare energy, with around half of flares above 1033 erg typically showing complex behavior. The higher incidence of complex events at high energies is, in part, because very energetic flares cover a relatively large area of the stellar surface and are more likely to trigger sympathetic flaring (e.g., Anfinogentov et al. 2013). Because the ASAS-SN flares are mostly higher energy than 1033 erg, nearly half of the 55 flares are probably complex and so would be poorly fit by the empirical classical flare template. Figure 5 shows two of many possibilities for complex, multipeaked events, drawing inspiration from previously observed M dwarf flares (Hawley & Pettersen 1991; Kowalski et al. 2013). It is not currently possible to estimate the presence or strength of multiple peaks based on sparse observations near the peak, but since the addition of more peaks increases the energy, the classical flare assumption continues to be a conservative lower limit.

4.4.2. The Frequency of Larger Flares

While the high occurrence rate of complex flares presents difficulties for placing an upper limit on a flare given a very sparse light curve, the distribution of flares at each energy is relatively well understood and can be used to place limits on flare energy. Lacy et al. (1976) first related the occurrence of flares to their energy, finding that on a handful of M dwarfs a flare that releases an order of magnitude more energy may occur 10−100 times less frequently than smaller flares. This FFD has been observed and quantified for a number of stars, typically characterized by a power-law slope ranging from −0.5 to −1.3, dependent on spectral type and activity level. While our work eventually aims to quantify the FFD of M dwarfs, we can use previous results to examine the occurrence of large flares.

To place some upper limits on flare frequency, we use the upper and lower bounds of α, the power-law slope, from Hilton (2011) and Hawley et al. (2014) to calculate a cumulative probability distribution of a given M dwarf flare. If we assume no observational bias against flares of any size, each flare observed is increasingly less likely to be larger, proportional to their overall frequency. For example, the ASASSN-14gj flare with a lower limit of log(E) = 33.5 is 92% likely to have an energy of less than 34.5 and 99% likely to have an energy less than 35.5. Given the spread expected from the energy uncertainty and the range of possible α values, the flare is >70% likely to be within an order of magnitude of the original estimate and >97% likely to be within two orders of magnitude.

4.5. The Distribution of Flares and Stars

The energies of flares and distribution of spectral types are essentially a scatter plot, with the shape of the distribution being set primarily by the underlying stellar population and the observational constraints rather than a fundamental property of flares.

One limit on our detection of flares in early M dwarfs is the contrast effect; on a dim, late M dwarf, an energetic flare will have a much higher contrast with the underlying photosphere than it would on a bright, early M dwarf. To show this effect, we calculated a characteristic energy for a 1 mag flare (ΔV = −1) as a function of spectral type. To convert peak flux to energy, we used the relationship between flare peak and flare energy discussed in Section 4.4.1. That limit (shown in Figure 2) falls below the majority of the flares for dwarfs earlier than M5. For dwarfs later than M5, flares smaller than $\mathrm{log}({E}_{V}/\mathrm{erg})=32$ would still have a contrast of greater than 1 mag. Due to the current classification methods of ASAS-SN, a flare of less than 1 mag is unlikely to have made it on our list.

We also examined the effect of the faint detection limit of ASAS-SN on the range of energies detected. The detection limit varies from night to night but is typically above V = 16 (and can be as faint as V = 17.5). At a distance of 100 pc, that limit corresponds to a flare energy of $\mathrm{log}({E}_{V}/\mathrm{erg})=33$, and there are fewer flares than expected that fall below that energy. Those flares are likely to have occurred during good conditions or on more nearby stars.

To understand the distribution of spectral types, we calculated the distribution expected if the 49 M dwarfs were drawn evenly from the solar neighborhood (shown in Figure 2; based on the mass functions of Cruz et al. 2007; Bochanski et al. 2010). Overall, there are fewer M3 and earlier dwarfs than expected and more later types. This is reasonable, given that flares of the same energy are more difficult to detect on these bright M dwarfs.

5. ASAS-SN Flare Stars as a Population

The majority of flare surveys are targeted at specific stars (often particularly active ones), with the goal of examining detailed light curves or photometry. ASAS-SN has the advantage of an agnostic flare selection, detecting flares wherever they occur. We use kinematics and the presence and strength of Hα emission to assess the ASAS-SN flare stars as a population to determine whether these flares occurred on typical field stars or on peculiarly young and active stars.

5.1. Kinematics of the ASAS-SN M Dwarfs

Kinematics are often used as age indicators for populations of stars; young stars typically have cold orbits characterized by low velocities with respect to the Sun and positions near the Galactic plane, while older stars have warmer orbits and are more likely to have higher velocities and be located further from the Galactic plane. The majority (45 of 49 objects) of ASAS-SN flare stars are located within 200 pc of the Galactic plane, with only two M dwarfs (ASASSN-13dj and ASASSN-15ll) found at Galactic heights greater than 400 pc (in this case, both below the plane).

We adopted Gaia proper motions for the 42 stars with matches in the Gaia database. For five of the seven remaining stars (excluding ASASSN-13dj and ASASSN-15ll owing to the lack of 2MASS detections) we calculated proper motions based on the difference between 2MASS and WISE coordinates. The Gaia and 2MASS/WISE proper motions are given in Table 5. We combined these proper motions with distances to calculate tangential velocities (Vtan) for 47 dwarfs, which are also given in Table 5. The overall mean tangential velocity is 29.8 km s−1, with a standard deviation of 22.6 km s−1. There is a single M dwarf with a velocity larger than 100 km s−1 (ASASSN-13be with Vtan = 117.5 km s−1). If this outlier is removed, the mean tangential velocity is 27.9 km s−1, with a standard deviation of 18.7 km s−1.

Comparing these to the data from Faherty et al. (2009) indicates that the M dwarfs in the ASAS-SN M dwarf sample are slightly younger than M dwarfs in the solar neighborhood, implying ages younger than ∼5 Gyr and likely membership in the thin-disk population. But with a few dwarfs at high Galactic heights and fast Vtan, it is not likely that they are a universally young population, nor are they significantly younger than the Galactic disk.

5.2. Activity of the ASAS-SN M Dwarfs

As a manifestation of strong magnetic fields, the flare rate of M dwarfs is frequently correlated with other indicators of magnetic activity (Kowalski et al. 2009; Hawley et al. 2014). Our spectroscopic observations include the region surrounding the Hα emission line, frequently used as an indicator of activity in these low-mass stars (Gizis et al. 2000; West et al. 2008). We measured Hα equivalent widths (EW) using a custom IDL code that adopts the wavelength ranges and method described by West et al. (2011). Of our 49 stars, only three (K dwarf ASASSN-14hc and two M dwarfs) had no detectable emission in the Hα line. Both of the M dwarfs had spectra with sufficiently high signal-to-noise ratio that an emission line with an EW of ∼0.75 Å would be detectable; they either have Hα in relatively weak emission, weak absorption, or an absence of the activity indicator.

The activity fraction as a function of spectral type is shown in Figure 6 compared to the activity fraction of a reference sample of field M and L dwarfs that was selected based on color and not activity level (the SDSS DR7 M dwarf sample and the BOSS Ultracool Dwarfs sample; West et al. 2011; Schmidt et al. 2015). The two M dwarfs without detected activity (13dj and 15ll) have spectral types of M2 and M4; at those spectral types, the mean activity fractions (∼5% and ∼15%, respectively) are relatively low, so the overall activity fraction of the ASAS-SN flare sample still falls well above the active fraction for those spectral types. These two dwarfs also have two of the strongest flares and are the two most distant M dwarfs. Given their strong flares, it is surprising that they are not Hα emitters, but it is possible that they are slightly older M dwarfs that have a lower base level of activity and flare much more rarely.

Figure 6.

Figure 6. Fraction of M dwarfs with activity (as defined by the presence of Hα emission) for the ASAS-SN flare dwarfs (black) compared to a sample selected based on colors (SDSS DR7 M dwarf and BUD ML dwarf samples; gray; West et al. 2011; Schmidt et al. 2015). The uncertainties are based on a binomial distribution. While the ASAS-SN flare sample is much smaller, it does also have a higher significantly active fraction than the comparison dwarfs.

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The Hα line strength can also be used to quantify the activity level of M dwarfs. EWs measure the strength of the line compared to the surrounding (pseudo-)continuum, but because the continuum varies with spectral type, we instead use the ratio of line luminosity to bolometric luminosity. We use the χ factor as a function of spectral type (West & Hawley 2008; Schmidt et al. 2014) to convert the EW to the ratio of Hα emission line flux to the stellar bolometric luminosity. Figure 7 shows the activity strength of the flaring ASAS-SN M dwarfs compared to that of the non-activity-selected reference sample (West et al. 2011; Schmidt et al. 2015). We also show a parameterized activity strength, calculated by subtracting the median per spectral type from every value and then dividing by the difference between the 30% and 70% values. This parameterized activity strength is meant to aid comparisons of the ASAS-SN flare sample to the non-activity-selected sample.

Figure 7.

Figure 7. The log of the ratio of Hα line luminosity to bolometric luminosity (Hα activity strength) as a function of spectral type (top panel) and the parameterized activity strength (activity strength normalized so the median value is 0 and the interval between 30% and 70% is unity) as a function of spectral type (bottom panel) for the West et al. (2011) and Schmidt et al. (2015) M dwarf samples compared to the activity strength and spectral type of the ASAS-SN flare sample. For the large M dwarf samples, the shaded areas show percentiles in increments of 10%. For the ASAS-SN flare sample, the different total flare energy is indicated by each point's color.

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The majority (42 our of 48) of the M and L dwarfs fall at activity levels above the median value for their spectral types. Those that have less than the median activity level include the two inactive dwarfs, as well as a few more M4 dwarfs and one M6 dwarf. There are 27 M dwarfs with activity strength that falls above the 90th percentile values for their spectral type. This indicates that the ASAS-SN M dwarf flare sample is a significantly more active population than that of the field stars, consistent with previous results showing that stars without Hα emission flare less often than those with (Hawley et al. 2014).

6. Objects and Events of Interest

The majority of the objects in the ASAS-SN sample are newly discovered M dwarfs with typical colors and activity levels. Here we discuss M dwarfs with previous data and the peculiar objects observed as part of the ASAS-SN M dwarf project.

6.1. GJ 3039

GJ 3039 (LP 525-39) was first identified as an Hα-emitting, high-proper-motion source (Stephenson 1986a, 1986b) before it was included in the third catalog of nearby stars (Gliese & Jahreiß 1991) and assigned an M4 spectral type (Reid et al. 1995). McCarthy et al. (2001) found a companion to GJ 3039 with a separation of 0farcs73 (∼30 au) and similar colors but a magnitude difference of 0.7 in J band. Schlieder et al. (2012) identified GL 3039 as a candidate member of the β Pictorus young moving group owing to a combination of kinematics-detected emission at X-ray in UV wavelengths. Previous photometric monitoring of GJ 3039 (Messina et al. 2016) identified two small R-band flares. The ASAS-SN light curve of GJ 3039 also includes a few small (ΔV < −0.2) flares, but none as large as the ΔV = −1.0 flare examined here.

6.2. ASASSN-13cb (SDSS 1022+19)

SDSS 1022+19 was observed to flare in Fall 2013. Because the flare both was very large and occurred on a very red object, follow-up observations were obtained rapidly, and the object and its flare were analyzed by Schmidt et al. (2014), who classified it as a field age M8 dwarf with a lower-limit flare energy of log(EV) = 34.4 [log(erg)]. We reanalyze the flare here using an updated fitting procedure and the Davenport et al. (2014b) flare template (unavailable during the original analysis) and find an energy of log(EV) = 33.7 [log(erg)]. As discussed in Section 4, this fit does not show strong agreement with the late-stage (∼2 hr later) decay observed for ASASSN-13cb but does show agreement with the flare light curve calculated from the Kepler relationship between timescale and energy.

6.3. ASASSN-15af (2M 0518−05)

ASASSN-15af was identified as T Tauri star 2MASS J05181685−0537300 (2M 0518−05) as part of a photometric Hα survey in Orion (Wiramihardja et al. 1991). A spectrum from Lee & Chen (2007) revealed many emission lines, including Hα (EW = −57.3 Å), O i λ6300, Fe λ4924, Ca H and K, and He I (λ5876), sufficient to classify 2M 0518−05 as a T Tauri star, but there was no discussion of the continuum or spectral type. It is marked as a likely T Tauri star in the ASAS-SN transient page but was placed on our observing list as a result of its red colors. We obtained three spectra of 2M 0518−05 on 2016 August 2 and 2017 February 23, shown in Figure 8.

Figure 8.

Figure 8. Three spectra of T Tauri star 2M 0518−05 (dark-green, red, and blue lines), observed on 2016 August 2 and 2017 February 23, compared to an M6 dwarf template (green, red, and blue dashed lines). The T Tauri spectra with the M6 dwarf template subtracted (light-green, red, and blue lines) show excess emission similar to that expected from flares, including elevated blue continuum and emission lines. The TiO features found in both the template and 2M 0518−05 are labeled in the bottom spectrum. The Hα line profiles (shown in the inset) are wide, variable, and multipeaked, providing additional evidence that this object is showing activity primarily due to accretion rather than magnetic fields.

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The spectrum of 2M 0518−05 is shown compared to an M6 template spectrum; while the blue continuum is not consistent with an M6 dwarf, there are molecular bands throughout the redder portion of the spectrum (7000–9000 Å) that are well matched by the template spectrum. The subtracted spectrum shows less evidence of these bands and appears to primarily be composed of blue continuum and emission lines. While the combination of emission lines and blue continuum would be expected in a magnetically triggered flare, the line profiles are wider than those typically found during a flare event, most notably the Hα emission, which is ∼50 Å wide and double peaked. It is more likely that the observed spectra are elevated owing to accretion and other star formation processes.

The ASAS-SN light curve of 2M 0518−05 shows at least 14 distinct outburst events, including the initial 2015 event that triggered the observations (all shown in Figure 9). We obtained two additional photometric points for the object, obtaining V = 17.2 mag both times. This is likely to be the quiescent value, as ASAS-SN detects 2M 0518−05 in quiescence with a similar magnitude when the observing conditions are particularly good. While some of the outburst events were only detected on a single day and could be consistent with either magnetically induced flares or accretion, others last for multiple days at a time and so are far more likely to be accretion events. In addition to this activity, 2M 0518−05 also shows strong variation in the CRTS database and has excess UV emission (Sanchez et al. 2014). Because any magnetic activity on this object is difficult to separate from accretion, we exclude 2M 0518−05 from the sample of flaring M dwarfs.

Figure 9.

Figure 9. V magnitude as a function of time for 14 outbursts from 2M 0518−05. A possible quiescent level (V = 17.2) is shown (green dashed line), as well as the detections (filled circles) and upper limits (blue arrows). Time is given in days since 2014 January 1. Many outbursts may have lasted a similar time to a magnetically induced stellar flare (1 hr), but the light curve of 2M 0518−05 also features a few multiday outbursts that are most likely related to accretion events.

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6.4. ASASSN-16ae (SDSS 0533+00)

SDSS 0533+00 was observed to flare in 2016 January. Because the flare was both very large and occurred on a very red object, follow-up observations were obtained rapidly. The object and its flare were analyzed by Schmidt et al. (2016), who classified it as a field age L0 dwarf with a minimum V-band flare energy of $\mathrm{log}({E}_{V}/\mathrm{erg})=33.7$. The updated fitting method used in this work finds a longer t1/2, resulting in the slightly larger energy of $\mathrm{log}({E}_{V}/\mathrm{erg})=33.9$.

6.5. ASASSN-16hl

ASASSN-16hl (2MASS J16045515–7223199) was marked in the ASAS-SN transients database as a CV or an outburst from a red star and was selected for follow-up owing to its particularly red colors in 2MASS and WISE. The spectrum of ASASSN-16hl (shown in Figure 10) has molecular absorption similar to an M1 dwarf but has a blue continuum and emission lines similar to a flare or other hot outburst. No other spectra were obtained, so it is unclear whether the single spectrum represents a continuous or transient state.

Figure 10.

Figure 10. Spectrum of ASASSN-16hl, a red object with multiple outbursts in the ASAS-SN database. The object is compared to an M1 template and is possibly a late-type star with additional emission in the continuum. The TiO features found in both the template and ASASSN-16h are labeled.

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The light curve of ASASSN-16hl shows multiple strong outbursts, including a strong event that resembles a flare (in part due to the lack of observations within a few days), two multiday outbursts, and a few smaller, longer outbursts (shown in Figure 11). Our follow-up photometry yielded a magnitude of V = 14, which is likely to have been during another outburst. The median ASAS-SN value is V = 16.1 mag, which is possibly the quiescent value. In further support that this is a peculiar, young object, the WISE database flagged the photometry as variable, and a SIMBAD search reveals a possibly associated X-ray source in ROSAT within a few arcseconds. ASASSN-16hl is most likely a previously unclassified young star. We used the Banyan Σ tool19 (Gagné et al. 2018) to check whether it is a member of any young moving group or association and found that it is most likely a field star.

Figure 11.

Figure 11. V magnitude as a function of time for three outbursts and two long-timescale elevations of ASASSN-16hl.

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7. Summary

We selected 55 candidate flaring M dwarfs from ASAS-SN and performed follow-up spectroscopy and photometry on 53 of them, identifying four as peculiar objects and 49 as K, M, or L dwarfs. From these 49 stars we identified 55 total flares. The flares have lower limits on their V-band energies that range from $\mathrm{log}({E}_{V}/\mathrm{erg})=32$ to 35, placing them among some of the strongest M dwarf flares detected. The flare stars tend to have more and stronger chromospheric activity (as characterized by Hα emission) than typical field M dwarfs but are not an older population than field M dwarfs.

If we adopt the Maehara et al. (2012) definition of superflares (energies greater than 1033 erg), the majority of the stellar flares observed by ASAS-SN (44 of 55) fall above that cut in the V band, and with Kepler energies approximately 1.9 times larger than those in V band, 50 of the 55 flares would fall into the superflare category. With its bright magnitude range and full sky coverage, ASAS-SN is well suited to detecting these flares. The few largest ASAS-SN flares previously analyzed are larger than the biggest flares that have been examined in detail (∼1034 erg; Hawley & Pettersen 1991; Kowalski et al. 2010) but still smaller than the largest found on M dwarfs in the Davenport (2016) flare catalog, which range up to $\mathrm{log}({E}_{{Kepler}})=36$ [log(erg)].

ASAS-SN and similar sparse cadence surveys have the potential to uniquely observe an unbiased sample of nearby M dwarfs, detecting the largest flares and allowing us to characterize those flares as a population. As observations continue, we will continue to add to our understanding of M dwarf flares. This is essential not only to understand the relationship between flare activity and underlying stellar properties such as mass, rotation, and age but also to estimate how frequently life on extrasolar planets may be threatened by the largest flares.

In the last half of 2017 ASAS-SN deployed three additional units in Texas, South Africa, and Chile, and by the end of 2018 we will deploy a sixth unit to China. These new units both increase our cadence and decrease our vulnerability to weather. With the five-unit ASAS-SN we cover the entire visible sky every 20 hr, increasing the number of M dwarf flares we recover dramatically. Using the data presented here combined with additional flares from the expanded survey, we plan to derive rates of the largest M dwarf flares from ASAS-SN in a follow-up work.

We thank Nidia Morrell for her contributions to ASAS-SN observing. We thank the Las Cumbres Observatory and its staff for its continuing support of the ASAS-SN project. ASAS-SN is supported by the Gordon and Betty Moore Foundation through grant GBMF5490 to the Ohio State University and NSF grant AST-1515927. Development of ASAS-SN has been supported by NSF grant AST-0908816, the Mt. Cuba Astronomical Foundation, the Center for Cosmology and AstroParticle Physics at the Ohio State University, the Chinese Academy of Sciences South America Center for Astronomy (CASSACA), the Villum Foundation, and George Skestos.

B.J.S., M.R.D., and S.D.J. were supported or partially supported by NASA through Hubble Fellowships grants HST-HF-51348.001, HST-HF2-51373.001, and HST-HF2-51375.001-A, respectively, awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS 5-26555. K.Z.S. and C.S.K. are supported by NSF grants AST-1515927 and AST-1515876. Support for J.L.P. is in part provided by FONDECYT through the grant 1151445 and by the Ministry of Economy, Development, and Tourism's Millennium Science Initiative through grant IC120009, awarded to The Millennium Institute of Astrophysics. S.D. is supported by Project 11573003 supported by NSFC.

This research was made possible through the use of the AAVSO Photometric All-Sky Survey (APASS), funded by the Robert Martin Ayers Sciences Fund. This research has made use of data provided by Astrometry.net (Lang et al. 2010). This research has also made use of NASA's Astrophysics Data System Bibliographic Services and the SIMBAD database, operated at CDS, Strasbourg, France.

This work is based in part on observations obtained at the MDM Observatory, operated by Dartmouth College, Columbia University, Ohio State University, Ohio University, and the University of Michigan.

This paper used data obtained with the MODS spectrographs built with funding from NSF grant AST-9987045 and the NSF Telescope System Instrumentation Program (TSIP), with additional funds from the Ohio Board of Regents and the Ohio State University Office of Research.

This paper is based on data acquired using the LBT. The LBT is an international collaboration among institutions in the United States, Italy, and Germany. LBT Corporation partners are the University of Arizona on behalf of the Arizona university system; Istituto Nazionale di Astrofisica, Italy; LBT Beteiligungsgesellschaft, Germany, representing the Max-Planck Society, the Astrophysical Institute Potsdam, and Heidelberg University; The Ohio State University; and The Research Corporation, on behalf of the University of Notre Dame, University of Minnesota, and University of Virginia.

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. This publication also makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration.

This publication also makes use of data from SDSS-III. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. The SDSS-III website is http://www.sdss3.org/.

SDSS-III is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS-III Collaboration, including the University of Arizona, the Brazilian Participation Group, Brookhaven National Laboratory, Carnegie Mellon University, University of Florida, the French Participation Group, the German Participation Group, Harvard University, the Instituto de Astrofisica de Canarias, the Michigan State/Notre Dame/JINA Participation Group, Johns Hopkins University, Lawrence Berkeley National Laboratory, Max Planck Institute for Astrophysics, Max Planck Institute for Extraterrestrial Physics, New Mexico State University, New York University, Ohio State University, Pennsylvania State University, University of Portsmouth, Princeton University, the Spanish Participation Group, University of Tokyo, University of Utah, Vanderbilt University, University of Virginia, University of Washington, and Yale University.

Software: Banyan Σ (Gagné et al. 2018), IRAF (Tody 1986, 1993), L.A.Cosmic (van Dokkum 2001), la_cosmic.pro (www.astro.yale.edu/dokkum/lacosmic/la_cosmic.pro), modsCCDRed (Version 2.0) (Pogge 2019), modsIDL (Croxall & Pogge 2019).

Footnotes

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10.3847/1538-4357/ab148d