2023
DOI: 10.3847/2041-8213/acf2f2
|View full text |Cite
|
Sign up to set email alerts
|

Near-infrared Flux Distribution of Sgr A* from 2005–2022: Evidence for an Enhanced Accretion Episode in 2019

Grant C. Weldon,
Tuan Do,
Gunther Witzel
et al.

Abstract: Sgr A* is the variable electromagnetic source associated with accretion onto the Galactic center supermassive black hole. While the near-infrared (NIR) variability of Sgr A* was shown to be consistent over two decades, unprecedented activity in 2019 challenges existing statistical models. We investigate the origin of this activity by recalibrating and reanalyzing all of our Keck Observatory Sgr A* imaging observations from 2005–2022. We present light curves from 69 observation epochs using the NIRC2 imager at … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 52 publications
0
0
0
Order By: Relevance
“…The consistency between our fitted quiescent emission in 2019 and previous analyses is somewhat shocking. IR variability suggests that Sgr A * was more variable in 2019 than in the past ∼20 yr (Do et al 2019;Weldon et al 2023), which they concluded occurs from enhanced accretion onto the event horizon. As flaring events occur within the accretion flow, one would expect similar outliers in the quiescent submm and radio emission.…”
Section: Quiescent Propertiesmentioning
confidence: 98%
See 1 more Smart Citation
“…The consistency between our fitted quiescent emission in 2019 and previous analyses is somewhat shocking. IR variability suggests that Sgr A * was more variable in 2019 than in the past ∼20 yr (Do et al 2019;Weldon et al 2023), which they concluded occurs from enhanced accretion onto the event horizon. As flaring events occur within the accretion flow, one would expect similar outliers in the quiescent submm and radio emission.…”
Section: Quiescent Propertiesmentioning
confidence: 98%
“…To determine if any peaks in the power spectrum are significant, we follow the prescription in Do et al (2009) to compare the measured FFT to a red-noise-dominated power spectrum. We generate 35,000 red-noise light curves (using the stochastic 12 Python package) with a spectral density exponent α = 2.75 (PSD ∝ f −2.75 ; Weldon et al 2023). These red-noise light curves have the same temporal sampling as our light curves.…”
Section: Periodogramsmentioning
confidence: 99%