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LNS Special Seminars


 

Tuesday, January 5, 2016

hosted by:   Prof. Janet Conrad

    2:00 PM

    Kolker Room, 26-414

 

T2K Neutrino Oscillation Results and Future Developments

Speaker: Andrew Missert- University of Colorado, Boulder

 

Abstract: The Tokai-to-Kamioka (T2K) experiment is an accelerator-based long-baseline neutrino oscillation experiment that uses a unique off-axis neutrino beam to precisely measure the parameters that govern neutrino flavor oscillations. This talk will outline the experiment and the current results, which offer tantalizing hints regarding the existence of CP violation in the neutrino sector. It will also cover future improvements to the T2K analysis, most notably the development of a new maximum-likelihood event reconstruction algorithm for Super Kamiokande, which could be used to squeeze even more information about the oscillation parameters from the existing data.




Friday, February 19, 2016

hosted by:   Prof. Janet Conrad

    2:00 PM

    Kolker Room, 26-414

 

Review of the Status and Future Prospects of Dark Matter Searches at Colliders

Speaker: Sarah Malik- Imperial College London

 

Abstract: Understanding the nature of dark matter is one of the most compelling, long standing questions in physics.

I will review the results of searches for dark matter at CMS in Run 1 of the LHC and what we can expect in Run 2 and beyond. I will also discuss recent developments in dark matter phenomenology and highlight the compelling interplay between the searches for dark matter from the different cross-disciplinary experiments.




Friday, February 26, 2016

hosted by:   Prof. Bolek Wyslouch

    2:00 PM

    Kolker Room, 26-414

 

Searching for New Physics with the Large Hadron Collider

Speaker: Frank Golf- University of California, Santa Barbara

 

Abstract: : After a two year shutdown, the LHC restarted proton-proton collisions in 2015 with an increase in center-of-mass energy to 13 TeV. I describe some early results with data from the first year of running and plans for the significantly larger datasets that we expect to collect in the coming years.