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Description
The network of gravitational-wave detectors is rapidly approaching the next observing run (O4) in Spring 2023. Together with that, the prospects for multi-messenger observations in association with gravitational waves are re-opening all across the electromagnetic spectrum and with neutrinos. At the same time, the Large Hadron Collider(LHC) has just started the operations of Run 3. With the first year of the LHC running done, the next two years bode well to accumulate a substantial amount of data, more than doubling the existing dataset.
This workshop is aiming to bring together developers and stakeholders with an interest in fully integrating machine learning-based tools in gravitational-wave physics, multi-messenger astrophysics, and particle physics from experiment to physics analyses and results.
Part of the presentations and discussions will focus on sharing experiences and challenges in applying machine learning algorithms to real experimental/observational data, including aspects of real-time implementation and the use of heterogeneous computing. We plan to devote time to tutorials on the use of machine learning-based algorithms in gravitational waves, optical astronomy, and particle physics. Additionally, we will go over examples of hardware acceleration within heterogeneous computing systems and their future large scale, deployment within next generation physics experiments. The ultimate goal of the workshop is to establish a clear pipeline toward the integration of Machine Learning within scientific computing in heterogeneous systems and to establish a clear set of goals for the large-scale adoption of these systems.
The workshop will commence with hackathon sessions at 13:00 on January 28, 2023 and proceed with such sessions through the end of the day on January 29, 2023. These hackathon sessions will take place at the LIGO Laboratory at MIT, building NW22, room 268. This is located at 185 Albany Street in Cambridge, MA 02139. Access to the building is restricted to holders of a pass issued by MIT-- we have obtained such pass for all event participants. You can download it on your cellphone from here.
Presentation and discussion sessions will follow on January 30, 31 and through mid-day on February 1. These sessions will take place at the MIT Kavli Institute for Astrophysics and Space Research ("MKI"). It is located at 70 Vassar Street in Cambridge, MA 02139. We will be using the Marlar Lounge (37-252) in the second floor of this building. The building is accessible to all (no special passes required).
The workshop will close with another set of hackathon sessions from mid-day February 1 through the end of the day on February 2. These hackathon sessions will return to the LIGO Laboratory at MIT, building NW22, room 268 at 185 Albany Street in Cambridge, MA 02139. You will need a separate MIT pass to access the building on these two days; you can download it on your cellphone from here.
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Accelerating Physics with ML@MIT
