Published September 1, 2021 | Version v1
Journal article

Seeking Echoes of Circumstellar Disks in Kepler Light Curves

  • 1. Department of Physics & Astronomy, University of Utah, 115 S 1400 E, Rm. 201, Salt Lake City, UT 84112 (United States)
  • 2. Nanohmics, Inc., 6201 E. Oltorf St., Ste. 400, Austin, TX 78741 (United States)
  • 3. Smithsonian Astrophysical Observatory, 60 Garden St., Cambridge, MA 02138 (United States)

Description

Light echoes of flares on active stars offer the opportunity for direct detection of circumstellar dust. We revisit the problem of identifying faint echoes in postflare light curves, focusing on debris disks from ongoing planet formation. Starting with simulations, we develop an algorithm for estimating the radial extent and total mass from disk echo profiles. We apply this algorithm to light curves from over 2100 stars observed by NASA's Kepler mission, selected for multiple short-lived flares in either the long-cadence or short-cadence data sets. While flux uncertainties in light curves from individual stars preclude useful mass limits on circumstellar disks, catalog-averaged light curves yield constraints on disk mass that are comparable to estimates from known debris disks. The average mass in micron- to millimeter-sized dust around the Kepler stars cannot exceed 10% of an Earth mass in exo-Kuiper belts or 10% of a lunar mass in the terrestrial zone. We group stars according to IR excess, based on WISE W1–W3 color, as an indicator for the presence of circumstellar dust. The mass limits are greater for stars with strong IR excess, a hint that echoes are lurking not far beneath the noise in postflare light curves. With increased sensitivity, echo detection will let time-domain astronomy complement spectroscopic and direct-imaging studies in mapping how, when, and where planets form.

Availability note (English)

Available from http://dx.doi.org/10.3847/1538-3881/ac05be

Additional details

Identifiers

Publishing Information

Journal Title
Astronomical Journal (New York, N.Y. Online)
Journal Volume
162
Journal Issue
3
Journal Page Range
[25 p.]
ISSN
1538-3881

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53077531
Subject category
S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
Descriptors DEI
ALGORITHMS; ASTRONOMY; COMPUTERIZED SIMULATION; DETECTION; DUSTS; PLANETS; SENSITIVITY; STARS
Descriptors DEC
MATHEMATICAL LOGIC; SIMULATION