DM-Stat: Statistical Challenges in the Search for Dark Matter

Videos from BIRS Workshop

, University of Amsterdam
- 10:23
OVERVIEW: Dark matter
Watch video | Download video: 201802260913-Kavanagh.mp4 (212M)
, Imperial College London
- 15:12
OVERVIEW: Model selection, including Bayesian and Frequency perspectives
Watch video | Download video: 201802261405-vanDyk.mp4 (234M)
, Carnegie Mellon University
- 16:48
OVERVIEW: Statistical Learning
Watch video | Download video: 201802261547-Schafer.mp4 (208M)
, Radboud University
- 17:19
Simulation inversion: use machine learning to predict model parameters from observables
Watch video | Download video: 201802261649-Hendriks.mp4 (125M)
, Queen's University
- 10:14
OVERVIEW: Direct searches for dark matter
Watch video | Download video: 201802270903-Rau.mp4 (348M)
, Imperial College
- 11:40
Dark matter model comparison
Watch video | Download video: 201802271109-Scott.mp4 (145M)
, Radboud University
- 12:18
Problems of scanning a large parameter space
Watch video | Download video: 201802271145-vanBeekveld.mp4 (110M)
, Rutgers University
- 15:04
OVERVIEW: Dark matter structure and simulations
Watch video | Download video: 201802271402-Brooks.mp4 (190M)
, ICTP-SAIFR
- 16:10
The impact of Galactic astrophysical uncertainties on the reconstruction of DM properties
Watch video | Download video: 201802271533-Iocco.mp4 (166M)
, Harvard University
- 16:49
Statistical challenges in substructure lensing
Watch video | Download video: 201802271611-Cyr-Racine.mp4 (172M)
, University of Michigan
- 17:34
Probing particle dark matter with Gaia DR1
Watch video | Download video: 201802271649-Safdi.mp4 (175M)
, University of Amsterdam
- 10:14
OVERVIEW: statistics in indirect detection
Watch video | Download video: 201802280903-Weniger.mp4 (211M)
, Massachusetts Institute of Technology
- 11:13
Characterizing point source populations with non-Poissonian template fitting
Watch video | Download video: 201802281035-Slatyer.mp4 (122M)
, Universidad Complutense de Madrid
- 11:55
Enhancing the sensitivity to dark matter signatures in the very-high-energy gamma-ray band through machine learning
Watch video | Download video: 201802281114-Nieto.mp4 (145M)
, Academia Sinica
- 11:07
WIMP or non-WIMP? Thermal DM or non-thermal DM? The question to ask before global analysis
Watch video | Download video: 201803011035-Tsai.mp4 (110M)
, University of Amsterdam
- 11:31
Fast Forecasting for Counting Experiments
Watch video | Download video: 201803011109-Edwards.mp4 (57M)
, Princeton University
- 12:00
Extragalactic and Galactic Searches for Dark Matter Annihilation
Watch video | Download video: 201803011132-Mishra-Sharma.mp4 (82M)
, Duke University
- 14:59
OVERVIEW: Non-Exchangeable Hierarchical Bayes Models for Synthesizing Disparate Information
Watch video | Download video: 201803011416-Wolpert.mp4 (135M)
, Imperial College London
- 16:01
Comparing non-nested models by Testing One Hypothesis Multiple times
Watch video | Download video: 201803011531-Algeri.mp4 (131M)
, University of Amsterdam
- 16:35
Euclideanized signals: facilitating pheno-focused model exploration
Watch video | Download video: 201803011603-Weniger.mp4 (109M)
, Instituto de Física Teórica, IFT-UAM/CSIC
- 17:15
Quantifying the naturalness of dark matter models
Watch video | Download video: 201803011636-Casas.mp4 (142M)
, IFIC / CSIC - UV
- 09:28
Global significance for overlapping signal regions
Watch video | Download video: 201803020902-Mamuzic.mp4 (105M)
, University of Wisconsin - Madison
- 10:01
Approximate Bayesian Computation (ABC)
Watch video | Download video: 201803020930-Cisewski.mp4 (106M)
, Queen's University
- 10:55
Summary and closing
Watch video | Download video: 201803021039-Vincent.mp4 (63M)