2018-10-18
17:05 |
Notice détaillée - Notices similaires
|
2018-10-18
16:11 |
|
Guiding New Physics Searches with Unsupervised Learning
/ De Simone, Andrea (speaker) (SISSA)
I will describe an approach to search for new phenomena in data, by detecting discrepancies between two datasets. These could be, for example, a simulated standard-model background, and an observed dataset containing a potential hidden signal of New Physics.
I will propose a new statistical test, built upon a test statistic which measures deviations between two samples, using a Nearest Neighbors approach to estimate the local ratio of the density of points.
The test is model-independent and non-parametric, requiring no knowledge of the shape of the underlying distributions, and it does not bin the data, thus retaining full information from the multidimensional feature space.
As a by-product, the technique is also a useful tool to identify regions of interest for further study.
As a proof-of-concept, I will show the power of the method when applied to synthetic Gaussian data, and to a simulated dark matter signal at the LHC..
2018 - Streaming video.
Machine Learning; IML Machine Learning Working Group: unsupervised searches and unfolding with ML
External links: Talk details; Event details
In : IML Machine Learning Working Group: unsupervised searches and unfolding with ML
|
Notice détaillée - Notices similaires
|
2018-10-18
15:51 |
|
EARLY-CAREER RESEARCHERS IN MEDICAL APPLICATIONS @ CERN – SHORT TALKS
/ Stringhini, Gianluca (speaker) (Universita & INFN, Milano-Bicocca (IT)) ; Kozlowska, Wioletta Sandra (speaker) (CERN) ; Nowak, Marie (speaker) (UNIL - Universite de Lausanne (CH)) ; Gowtham , ADITHYA RAGHUPATHI (speaker) ; HUSSEIN, SHAUKATALI ZAHIR (speaker) ; MOHAMEDALI , Maryam (speaker)
Discover how technological advances for high-energy physics have become essential tools for modern medicine.
This series of short talks is given by Early-Career Researchers working on projects related to diverse medical applications that arise from technology developed at CERN and in high-energy physics.
The short talks from CERN researchers will focus on PET, Simulations and Dosimetry in Surgery
Team 2.7 from the recent Medtech:Hack will also present their winning project which aims to find solutions for people in rural areas to get better access to vital healthcare.
See more about the Medtech: Hack here.
Attendance is open to all without registration. If you require a CERN access card please contact us.
Coffee will be served at 15.30
For information about the next Knowledge Transfer Seminar, sign up to our e-group at http://cern.ch/go/F9cX
2018 - Streaming video.
KT Seminars
External link: Event details
In : EARLY-CAREER RESEARCHERS IN MEDICAL APPLICATIONS @ CERN – SHORT TALKS
|
Notice détaillée - Notices similaires
|
2018-10-18
15:35 |
Notice détaillée - Notices similaires
|
2018-10-18
15:31 |
Notice détaillée - Notices similaires
|
2018-10-18
15:30 |
Notice détaillée - Notices similaires
|
2018-10-18
15:30 |
Notice détaillée - Notices similaires
|
2018-10-18
15:21 |
|
ATLAS Weekly
/ Jakobs, Karl (speaker) (Albert-Ludwigs-Universitaet Freiburg (DE))
Vidyo PIN is 161018
Reminder: ATLAS Weekly meetings are recorded
Help:
For questions/problems regarding Vidyo, please contact: vidyo-support@cern.ch.
For questions/problems regarding Webcast, please contact: webcast-support@cern.ch.
2018 - Streaming video.
ATLAS Weekly
External link: Event details
In : ATLAS Weekly
|
Notice détaillée - Notices similaires
|
2018-10-18
15:21 |
Notice détaillée - Notices similaires
|
2018-10-18
15:18 |
Notice détaillée - Notices similaires
|