The article introduces a new test to check if a set of data comes from a specific pattern or not. Traditional tests use the data's distribution, but this new test uses a different method called kernel density estimation. The researchers found that this new test can accurately determine if the data matches the expected pattern or not, even when the data is complex. This test can help scientists and analysts make better decisions based on the data they have.