An ASAS-SN Search for “Dipper” Stars in the Lupus Star-Forming Region
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MNRAS 000,1{8 (2019) Preprint 27 July 2019 Compiled using MNRAS LATEX style file v3.0 Baby Boomers: An ASAS-SN Search for \Dipper" Stars in the Lupus Star-Forming Region J. W. Bredall,1 B. J. Shappee,1 T. Jayasinghe,2 E. J. Gaidos,3;4 K. Z. Stanek,2;5 C. S. Kochanek,2;4? J. L. Prieto,6;7 T. W. -S. Holoieny,8 Subo Dong,9 Todd A. Thompson,2;5;10 K. Hart,1 J. Gagn´e11 1Institute for Astronomy, University of Hawai`i at M¯anoa, 2680 Woodlawn Dr., Honolulu 96822, USA 2Department of Astronomy, The Ohio State University, 140 West 18th Avenue, Columbus, OH 43210, USA 3Department of Earth Sciences, University of Hawai`i at M¯anoa, Honolulu, HI 96822, USA 4Kavli Institute for Theoretical Physics, University of California at Santa Barbara, Santa Barbara, CA 93106, USA 5Center for Cosmology and Astroparticle Physics, The Ohio State University, 191 W. Woodruff Avenue, Columbus, OH 43210, USA 6N´ucleo de Astronom´ıade la Facultad de Ingenier´ıa y Ciencias, Universidad Diego Portales, Av. Ej´ercito 441, Santiago, Chile 7Millennium Institute of Astrophysics, Santiago, Chile 8Carnegie Observatories, 813 Santa Barbara Street, Pasadena, CA 91101, USA 9Kavli Institute for Astronomy and Astrophysics, Peking University, Yi He Yuan Road 5, Hai Dian District, Beijing 100871, China 10Institute for Advanced Study, 1 Einstein Dr., Princeton, NJ 08540, USA 11Carnegie Institution of Washington DTM, 5241 Broad Branch Road NW, Washington, DC 20015, USA ABSTRACT Examining variable Young Stellar Objects (YSOs), especially \dipper" stars, gives us unique insight into stellar and planetary formation. While there have been several recent high-precision surveys of YSOs in specific star-forming regions, variability can be missed as a result of their short baselines and limited coverage. Here we present a YSO survey of the Lupus star forming region using the All-Sky Automated Survey for Supernovae (ASAS-SN). Despite being home to several well-studied variable YSOs, the Lupus clouds have currently no published cases of dipper stars. With ASAS-SN, we are able to search for variable YSOs in a previously unexplored parameter space. In this search, we have found eight new dippers in Lupus, and present our findings in the context of known dipper populations. Key words: stars: variables: T Tauri, Herbig Ae/Be 1 INTRODUCTION current telescopes (Hedges et al. 2018). Thus, variable YSOs offer us a unique view of stellar and planetary formation. Exoplanetary science has seen much progress in recent years thanks to surveys such as Kepler (Borucki 2016) and TESS Herbst et al.(1994) splits the variability of YSOs (Ricker et al. 2014); however, many of these findings have into three main groups: Types I, II, and III. Each type of made it difficult to reconcile the layout of our own solar variability gives us insight into the different mechanics of system with what we observe in other systems (e.g., Mor- stellar and planetary formation. dasini et al. 2015; Raymond et al. 2018). One of the biggest problems with current models is understanding the struc- Type I variability is characterized by regular, periodic ture of protoplanetary disks and their interactions with the changes in luminosity of up to 0.5 mag, and is caused by magnetic field of the central Young Stellar Object (YSO) the rotation of starspots (Herbst 2012). Measuring the (Morbidelli & Raymond 2016). Recent findings have demon- period and how it changes over time can inform us about strated that observations of variable YSOs allow us to probe the evolution of the system's angular momentum. Rotation is also an input parameter for stellar magnetodynamic inner (. 1 AU) regions of disks. While Kepler has found sev- eral planets within this region, this scale is not resolvable by models, which can constrain interactions between the disk and stellar magnetic field. Type II variability is characterized by eruptive brightening ? Radcliffe Fellow events. This is normally observed as flaring, caused by mag- y Carnegie Fellow netic reconnection events. A more extreme case of Type II © 2019 The Authors 2 Bredall et al. variability is FU Orionis Stars (FUors), which can brighten work, we use ASAS-SN to perform a detailed search for dip- as much as 1 or 2 mag. This is believed to be caused pers in the Lupus region. by an increase in accretion driven by the magnetic field The Lupus region comprises multiple clouds of low-mass of the star (Herbst Herbst). Observations of these events star formation near the Scorpius Centaurus OB association can inform us of how these flares might affect disk structure. (Comer´on 2008). Lupus 3 is home to many well-studied T Tauri stars such as RU Lup and EX Lup, the prototype Type III variables are characterized by either periodic or EXor variable. While there have been several recent studies aperiodic dimming. UX Orionis Stars (UXors) are a well- on disk structure (e.g., Ansdell et al. 2016b, 2018b) and ac- known example of this phenomenon, caused by occultations cretion (e.g., Nisini et al. 2018) in Lupus YSOs, there are of dust throughout the disk. However, another subset of no published dippers in the Lupus clouds as of the writing Type III variables has emerged in recent years, known as of this paper. We are thus motivated to use our search for \dippers". Typical dimming for dipper systems is on the dippers as an optical supplement to current spectroscopic, order of 10 − 50%, though in some cases can be up to 5 X-ray, and infrared surveys of the region. mag. Unlike UXors, dippers are believed to be caused by This paper is outlined as follows: Observations and data transiting dust from the inner disk region (Hedges et al. reduction are discussed in x2, and variability selection crite- 2018). Observations of these dippers inform us of inner-disk ria are defined in x3. We find eight dippers in Lupus, which geometry that has otherwise been unavailable to us. are presented and discussed in x4. There has been a large effort in recent years to observe star-forming regions and classify any variable YSOs therein, 2 OBSERVATIONS with special attention to dipper stars (e.g., Cody et al. 2014; While ASAS-SN has discovered variable YSOs in the past Ansdell et al. 2016a; Rodriguez et al. 2017; Ansdell et al. (e.g., Holoien et al. 2014; Sicilia-Aguilar, A. et al. 2017), 2018a; Cody & Hillenbrand 2018; Hedges et al. 2018). Many the automated data reduction pipeline is best equipped to of these surveys utilize high-cadence, high-precision space detect bright transients such as supernovae. Indeed, smaller- telescopes such as Spitzer (Fazio et al. 2004) or K2 (Howell scale variability detections are intentionally missed by the et al. 2014). These studies have allowed for high-sampling pipeline. Nevertheless, all data is archived and available for of individual transient events; however, they suffer from a more focused investigations. For this work, we use a catalog short baseline of weeks (e.g., Spitzer) to months (e.g., K2 of ; YSOs given by Gagn´e(2019), 413 of which are part and TESS). Furthermore, while K2 has been very success- 7 000 of the Lupus Star-Forming Region. ful with finding dippers, its limited viewing window has re- sulted in most surveys being conducted in the Taurus and Upper Sco regions. In addition to space telescopes, ground- 2.1 ASAS-SN Light Curves based observatories such as the Kilodegree Extremely Little Telescope (KELT; Pepper et al. 2007, 2012, 2018) have been The ASAS-SN Network consists of 20 telescopes mounted used for conducting surveys of YSOs. KELT has the advan- on 5 fully-robotic mounts located at the Haleakal¯aObserva- tage of a wider field than K2, but is limited to brighter stars tory, the Cerro Tololo International Observatory, McDonald (8<V <12 mag). Observatory, and the South African Astrophysical Observa- We performed a search for variable YSOs in the Lupus tory. Observations span from late 2012 to mid-2018 in the V region using the All-Sky Automated Survey for SuperNovae band, and since late 2017 in the g band. Each science image (ASAS-SN; Shappee et al. 2014; Kochanek et al. 2017) as consists of three dithered 90 s exposures taken by four 14-cm 00 part of a larger survey of transient objects. ASAS-SN of- aperture Nikon telephoto lenses with 8: 0 pixels. fers photometric data of the entire sky from late 2012 to Images from ASASS-SN are processed by the fully- mid 2018 in the V band, and from late 2017 to present in automated ASAS-SN pipeline using the ISIS image subtrac- the g band. The combination of a long baseline and all-sky tion package (Alard & Lupton 1998; Alard 2000). The IRAF 00 coverage allows for large surveys of many different types of apphot package is used with a 2-pixel (≈ 16: 0) aperture to variability. While the ASAS-SN cadence is slower than K2 perform aperture photometry on a subtracted image, gener- or KELT, ASAS-SN data fills an unexplored region of pa- ating a differential light curve. The same aperture is used to rameter space. It provides a far wider sky coverage than K2, perform photometry in a reference image, the result of which and has a deeper limiting magnitude than KELT. is added back to the differential light curve. The photome- try is then calibrated using field stars known in the AAVSO Earlier works in this series have utilized ASAS-SN to Photometric All-Sky Survey (Henden et al. 2015). search for variability. Paper I (Jayasinghe et al. 2018) re- ported ∼ 66; 000 new variables found during ASAS-SN's search for supernovae.