The phrase "anomaly might be" is correct and usable in written English.
It can be used when discussing a potential occurrence or situation that deviates from the norm or expected outcome.
Example: "The data suggests that the anomaly might be related to a malfunction in the system."
Alternatives: "the anomaly could be" or "the anomaly may be".
This anomaly might be explained by the non-homogeneous structure of this variety of Calcarenite.
If real, the anomaly might be caused by an undiscovered particle such as a hypothetical new carrier of the weak force called Z' ("Z-prime"), says Jens Erler, a physicist at the University of Pennsylvania in Philadelphia.
"You are looking for anomalies.Any one anomaly might be a random thing; however, if you have enough data, you can tell that it is not". Famous for buying downtrodden assets, in February Black's Apollo bought back $250 million of its own shares, then down 50% year over year.
This anomaly might be caused by a diffusion process that has transported some of the helium and heavier elements out of the photosphere and into a region below Epsilon Eridani's convection zone.
The anomaly might be rectified by an appropriate, purposeful study of reciprocal terminal connections in motor cortex.
An example of an anomaly might be a gene structure predicted by the program 'Jigsaw' that differs from the curated gene structure.
They had to take into account whether particular cases could be identified for special treatment and suggest clear principles on which these anomalies might be rectified.
The corrosion pits and microstructural anomalies might be generated by applying the manufacturing processes designed for Al 2024 to the wrong material (Al 6061).
Such anomalies might be the result of prolonged exposure to cocaine in utero, aggravated by the high concentration of cocaine metabolites in the amniotic fluid over a prolonged period.
Thus, we concluded that the estimated negative PPR anomalies might be short-term noise such as multipath effects.
Alternatively, anomalies might be considered biased observations or one-off outbreaks.
