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Where Is the Flux Going? The Long-Term Photometric Variability of Boyajian's Star (1708.07822v2)

Published 25 Aug 2017 in astro-ph.SR

Abstract: We present ~800 days of photometric monitoring of Boyajian's Star (KIC 8462852) from the All-Sky Automated Survey for Supernovae (ASAS-SN) and ~4000 days of monitoring from the All Sky Automated Survey (ASAS). We show that from 2015 to the present the brightness of Boyajian's Star has steadily decreased at a rate of 6.3 +/- 1.4 mmag yr-1, such that the star is now 1.5% fainter than it was in February 2015. Moreover, the longer time baseline afforded by ASAS suggests that Boyajian's Star has also undergone two brightening episodes in the past 11 years, rather than only exhibiting a monotonic decline. We analyze a sample of ~1000 comparison stars of similar brightness located in the same ASAS-SN field and demonstrate that the recent fading is significant at >99.4% confidence. The 2015-2017 dimming rate is consistent with that measured with Kepler data for the time period from 2009 to 2013. This long-term variability is difficult to explain with any of the physical models for the star's behavior proposed to date.

Citations (15)

Summary

  • The paper confirms long-term dimming of Boyajian’s Star, measuring a rate of 6.3±1.4 mmag/yr over extensive photometric observations.
  • The paper employs Ordinary Least Squares fitting and cross-comparisons with Kepler data to establish trends with over 99.4% confidence.
  • The paper discusses intermittent brightening episodes that hint at possible cyclic or episodic behavior, challenging current stellar models.

Analyzing Long-Term Variability in Boyajian's Star

The paper "Where is the Flux Going? The Long-Term Photometric Variability of Boyajian’s Star" investigates the persistent and perplexing photometric dimming of KIC 8462852, commonly referred to as Boyajian's Star. Known for its dramatic and irregular light dips, the paper builds upon prior observations by incrementally refining our understanding of the star's behavior over extended periods. Through rigorous analysis of data from the All-Sky Automated Survey for Supernovae (ASAS-SN) and the All Sky Automated Survey (ASAS), the authors provide relevant insights about continuous and non-linear photometric variations, further complicating existing stellar models.

The paper draws upon approximately 800 days of ASAS-SN photometry and about 4000 days of ASAS observations. The results indicate a steady decrease in brightness from 2015 onwards, at a rate of 6.3±1.4 millimagnitudes per year (mmag yr1^-1), culminating in a total fade of 1.5% up to the point of analysis. This finding shows agreement with Kepler data spanning 2009 to 2013, reinforcing the pattern of long-term variability at a confidence level exceeding 99.4%. Such consistent variability challenges existing explanations primarily grounded in circumstellar materials like cometary debris or colliding planetesimals, as these models insufficiently account for sustained dimming without predicting more significant infrared excess observations given the absence of detectable warm dust close to the star.

A particularly intriguing aspect discussed is the variegated nature of brightness changes indicated in the ASAS dataset. Contrary to simplistic models postulating monotonic decline, the star exhibits episodes of both dimming and relative brightening. Specifically, the ASAS photometry highlights increased brightness at two intervals, suggesting potential cyclical or episodic behavior on a decadal scale that could imply an 8-year cycle. This complexity intimates potential stellar activity or external stochastic processes insufficiently captured by existing single-factor models. Possible explanations range from extended magnetic cycles to the ingestion of planetary bodies, each reclaimed through its potential merit, yet each confronted by challenges in predictive scope.

Experimentation with analytic methodologies underscores the statistical confidence of observed trends, with the Ordinary Least Squares (OLS) fitting confirming photometric persistence. Cross-referencing variability with comparable stars in the ASAS-SN field further affirmed observational fidelity. Despite such robustness, the ASAS dataset couldn’t fully align with Kepler-observed dips, alluding to probable observational or intrinsic limitations.

The implications span both astrophysical and methodological domains. From a theoretical standpoint, the paper underscores an evident inadequacy in current models, suggesting that interpretations should perhaps consider intersectional model frameworks beyond isolated hypotheses. Practically, it amplifies the necessity for multi-wavelength, high-precision monitoring to decode the nature of luminosity shifts correlating across the electromagnetic spectrum, a venture pivotal to distilling the chromatic versus achromatic nature of flux variations.

Future endeavors in observational astrophysics can capitalize on the data from instruments like Gaia or upcoming missions such as TESS, reinforcing benchmarks established by smaller yet deeply insightful surveys like ASAS and ASAS-SN. Such concerted efforts could elucidate variability mechanics through broader, multi-sensory frameworks and promote advancements in stellar model accuracy. The intricate character of Boyajian's Star remains a compelling subject for ongoing investigation, with observable flux patterns offering a myriad of insights into stellar dynamics and circumstellar environments.

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