Abstract: An edge exposure tool may include a lens adjustment device that is capable of automatically adjusting various parameters of an edge exposure lens to account for changes in operating parameters of the edge exposure tool. In some implementations, the edge exposure tool may also include a controller that is capable of determining edge adjustment parameters for the edge exposure lens and exposure control parameters for the edge exposure tool using techniques such as big data mining, machine learning, and neural network processing. The lens adjustment device and the controller are capable of reducing and/or preventing the performance of the edge exposure tool from drifting out of tolerance, which may maintain the operation performance of the edge exposure tool and reduce the likelihood of wafer scratching, and may reduce the down-time of the edge exposure tool that would otherwise be caused by cleaning and calibration of the edge exposure lens.

Abstract: An edge exposure tool may include a lens adjustment device that is capable of automatically adjusting various parameters of an edge exposure lens to account for changes in operating parameters of the edge exposure tool. In some implementations, the edge exposure tool may also include a controller that is capable of determining edge adjustment parameters for the edge exposure lens and exposure control parameters for the edge exposure tool using techniques such as big data mining, machine learning, and neural network processing. The lens adjustment device and the controller are capable of reducing and/or preventing the performance of the edge exposure tool from drifting out of tolerance, which may maintain the operation performance of the edge exposure tool and reduce the likelihood of wafer scratching, and may reduce the down-time of the edge exposure tool that would otherwise be caused by cleaning and calibration of the edge exposure lens.

Abstract: An edge exposure tool may include a lens adjustment device that is capable of automatically adjusting various parameters of an edge exposure lens to account for changes in operating parameters of the edge exposure tool. In some implementations, the edge exposure tool may also include a controller that is capable of determining edge adjustment parameters for the edge exposure lens and exposure control parameters for the edge exposure tool using techniques such as big data mining, machine learning, and neural network processing. The lens adjustment device and the controller are capable of reducing and/or preventing the performance of the edge exposure tool from drifting out of tolerance, which may maintain the operation performance of the edge exposure tool and reduce the likelihood of wafer scratching, and may reduce the down-time of the edge exposure tool that would otherwise be caused by cleaning and calibration of the edge exposure lens.

Abstract: An edge exposure tool may include a lens adjustment device that is capable of automatically adjusting various parameters of an edge exposure lens to account for changes in operating parameters of the edge exposure tool. In some implementations, the edge exposure tool may also include a controller that is capable of determining edge adjustment parameters for the edge exposure lens and exposure control parameters for the edge exposure tool using techniques such as big data mining, machine learning, and neural network processing. The lens adjustment device and the controller are capable of reducing and/or preventing the performance of the edge exposure tool from drifting out of tolerance, which may maintain the operation performance of the edge exposure tool and reduce the likelihood of wafer scratching, and may reduce the down-time of the edge exposure tool that would otherwise be caused by cleaning and calibration of the edge exposure lens.

Abstract: An edge exposure tool may include a lens adjustment device that is capable of automatically adjusting various parameters of an edge exposure lens to account for changes in operating parameters of the edge exposure tool. In some implementations, the edge exposure tool may also include a controller that is capable of determining edge adjustment parameters for the edge exposure lens and exposure control parameters for the edge exposure tool using techniques such as big data mining, machine learning, and neural network processing. The lens adjustment device and the controller are capable of reducing and/or preventing the performance of the edge exposure tool from drifting out of tolerance, which may maintain the operation performance of the edge exposure tool and reduce the likelihood of wafer scratching, and may reduce the down-time of the edge exposure tool that would otherwise be caused by cleaning and calibration of the edge exposure lens.

Abstract: A method for monitoring gas in a wafer processing system is provided. The method includes producing an exhaust flow in an exhausting conduit from a processing chamber. The method further includes placing a gas sensor in fluid communication with a detection point located in the exhausting conduit via a sampling tube that passes through a through hole formed on the exhausting conduit. The detection point is located away from the through hole. The method also includes detecting a gas condition at the detection point with the gas sensor. In addition, the method also includes analyzing the gas condition detected by the gas sensor to determine if the gas condition in the exhausting conduit is in a range of values.

Abstract: A method for monitoring gas in a wafer processing system is provided. The method includes producing an exhaust flow in an exhausting conduit from a processing chamber. The method further includes placing a gas sensor in fluid communication with a detection point located in the exhausting conduit via a sampling tube that passes through a through hole formed on the exhausting conduit. The detection point is located away from the through hole. The method also includes detecting a gas condition at the detection point with the gas sensor. In addition, the method also includes analyzing the gas condition detected by the gas sensor to determine if the gas condition in the exhausting conduit is in a range of values.