16 Ekim 2019
Özet: In my presentation, I will summarize our recent work on the physics of disease. I will start with a gentle introduction to biophysics of disease. This will be followed by photoacoustic and acoustic microscopy, development of nanosecond fiber lasers for imaging, optical tweezers for detection of sound, physical modeling of angiogenesis, tumor growth and drug delivery, proton therapy, and last of all, a short discussion of machine learning.
09 Ekim 2019
Konuşmacı: Bora Işıldak, Ph.D., Natural and Mathematical Sciences, Ozyegin University
Özet: A method for correcting the detector smearing eﬀects using machine learning technique is presented. Compared to the standard deconvolution approaches in high energy particle physics, the method can use more than one reconstructed variable to predict the value of unsmeared quantity on an event-by-event basis. In this particular study, deconvolution is interpreted as a classiﬁcation problem, and neural networks (NN) are trained to deconvolute the Z boson invariant mass spectrum generated with MadGraph and pythia8 Monte Carlo event generators. Results obtained from the deep learning method is presented and compared with the results obtained with traditional methods.