System and method for vacuum chamber leak detection
Leaks in a processing chamber, including “virtual leaks” resulting from outgassing of material present within the chamber, may be detected utilizing an optical emission spectroscopy (OES) sensor configured to monitor light emitted from plasma of a sample from the chamber. According to certain embodiments, gas introduced into the chamber by the leak may be detected directly on the basis of its optical spectrum. Alternatively, gas introduced by the leak may be detected indirectly, based upon an optical spectrum of a material resulting from reaction of the gas attributable to the leak. According to one embodiment, data from the OES sensor is received by a processor that is configured to compute a leak detection index. The value of the leak detection index is compared against a threshold to determine if a leak is detected. If the value of the index crosses the threshold, a notification of the existence of a leak is sent.
1. A method comprising:
detecting an optical emission spectrum from a plasma of a gas sample from a processing chamber; and
analyzing the spectrum to detect a gas leak in the processing chamber,
wherein the plasma is maintained in a remote plasma sensor in selective fluid communication with the processing chamber.
2. The method of claim 1 wherein the plasma is maintained in the processing chamber.
3. The method of claim 1 wherein the optical emission spectrum is obtained from an optical emission spectroscopy (OES) sensor.
4. The method of claim 1 wherein the spectrum is analyzed to directly reveal a presence of a gas in the chamber due to the leak.
5. The method of claim 1 wherein the spectrum is analyzed to indirectly reveal a presence of a gas in the chamber due to the leak, based upon an interaction between the gas and contents of the chamber.
6. The method of claim 1 wherein a pressure of the chamber is atmospheric or lower, and the leak contains a gas from outside the chamber.
7. The method of claim 1 wherein the leak is a virtual leak.
8. The method of claim 1 wherein the analyzing comprises comparing the optical emission spectrum with a second optical emission spectrum.
9. The method of claim 8 wherein the second optical emission spectrum is taken at a different point in time from a same run in the processing chamber.
10. The method of claim 1 wherein the analyzing comprises generating a leak detection index by applying a mathematical function to at least a portion of the spectrum.
11. The method of claim 10 wherein said leak detection index is calculated at discrete time intervals.
12. The method of claim 10 wherein a magnitude of the leak detection index is proportional to a magnitude of the leak.
13. The method of claim 10 wherein the analyzing further comprises applying a criterion to the leak detection index to determine if the leak is detected.
14. The method of claim 13 where the criterion comprises comparing the leak detection index to a threshold, and determining the leak to exist if the leak detection index crosses the threshold.
15. The method of claim 1 further comprising transmitting a notification signal upon detection of a leak.
16. The method of claim 15 wherein the notification signal is transmitted by sending an email to an email address, triggering an audio or visual alarm, sending an electronic signal to a host system, or sending an electronic signal to a tool controller.
17. The method of claim 1 further comprising:
prior to the analyzing, detecting whether a recipe step of interest is being performed in the chamber.
18. The method of claim 17 wherein the detecting is based upon an electronic signal sent from a controller.
19. A method comprising:
detecting an optical emission spectrum from a plasma of a gas sample from a processing chamber; and
analyzing the spectrum to detect a gas leak in the processing chamber,
wherein the analyzing comprises generating a leak detection index by applying a mathematical function to at least a portion of the spectrum, and
wherein the analyzing comprises:
combining a first pixel from the spectrum with a second pixel according to a mathematical function to generate the leak detection index, wherein the second pixel is from a second spectrum.
20. The method of claim 19 wherein the mathematical function considers a difference between a value of a first pixel and a value of the second pixel.
21. The method of claim 19 wherein the mathematical function considers a quotient between a value of a first pixel and a value of a second pixel.
22. A method comprising:
detecting an optical emission spectrum from a plasma of a gas sample from a processing chamber; and
analyzing the spectrum to detect a gas leak in the processing chamber,
wherein the analyzing considers data taken from a second sensor in communication with the processing chamber.
23. The method of claim 22 wherein the second sensor is other than an optical sensor.
24. A method comprising:
detecting an optical emission spectrum from a plasma of a gas sample from a processing chamber; and
analyzing the spectrum to detect a gas leak in the processing chamber,
further comprising:
prior to the analyzing, detecting whether a recipe step of interest is being performed in the chamber,
wherein the detecting is based upon an optical signal received indicating a state of the chamber.
25. A method comprising:
detecting an optical emission spectrum from a plasma of a gas sample from a processing chamber; and
analyzing the spectrum to detect a gas leak in the processing chamber,
wherein the analyzing comprises generating a leak detection index by applying a mathematical function to at least a portion of the spectrum,
wherein the analyzing further comprises applying a criterion to the leak detection index to determine if the leak is detected,
where the criterion comprises comparing the leak detection index to a threshold, and determining the leak to exist if the leak detection index crosses the threshold, and
wherein the criterion further comprises comparing the leak detection index to more than one threshold, and wherein an estimate of a magnitude of the leak is determined by a number of thresholds crossed by the leak detection index.
26. A method comprising:
detecting an optical emission spectrum from a plasma of a gas sample from a processing chamber; and
analyzing the spectrum to detect a gas leak in the processing chamber,
wherein the analyzing comprises generating a leak detection index by applying a mathematical function to at least a portion of the spectrum,
wherein the analyzing further comprises applying a criterion to the leak detection index to determine if the leak is detected, and
wherein a value of the threshold changes as a function of time.
27. A method comprising:
detecting an optical emission spectrum from a plasma of a gas sample from a processing chamber; and
analyzing the spectrum to detect a gas leak in the processing chamber,
wherein the analyzing comprises generating a leak detection index by applying a mathematical function to at least a portion of the spectrum,
wherein the analyzing further comprises applying a criterion to the leak detection index to determine if the leak is detected, and
further comprising:
detecting a second optical emission spectrum from a plasma of a second gas sample from a processing chamber;
generating a second leak detection index by applying the mathematical function to the second spectrum and
applying the criterion to the leak detection index and the second leak detection index to determine if the leak is detected.
28. A system for leak detection comprising:
an optical emission spectroscopy (OES) sensor in optical communication with a plasma of a gas from a processing chamber; and
a host computer in electrical communication with the OES sensor, the host computer further comprising:
a controller, and
a computer readable storage medium in electronic communication with the controller and having stored thereon instructions to direct the controller to,
receive a spectrum from the OES sensor, and
analyze the spectrum to detect a gas leak in the processing chamber,
wherein the plasma is present within a remote chamber in fluid communication with the processing chamber, and the OES sensor is in optical communication with the remote chamber.
29. The system of claim 28 wherein the computer readable storage medium further comprises code configured to instruct the processor to generating a leak detection index by applying a mathematical function to the spectrum.
30. The system of claim 28 wherein the computer readable storage medium further comprises code configured to instruct the processor to transmit a notification signal upon detection of a leak.
31. The system of claim 28 wherein the computer readable storage medium further comprises code configured to instruct the processor to detect, prior to the analyzing, whether a recipe step of interest is being performed in the chamber.