Bayes for scattering workshop
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Europe/Zurich
M5 (COBIS)
M5
COBIS
Ole maaløes vej 3, Copenhagen
Registration
Participants
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12:00
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12:45
Lunch 45m
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12:45
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14:20
Use cases for Bayes in scattering¶
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12:45
Why are we having this meeting?
Brief intro to Bayes' theorem. -
13:00
Speaker: Andreas Larsen (University of Copenhagen)
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13:20
Speaker: Alexander Holmes (European Spallation Source ERIC)
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13:40
Speaker: Andrew McCluskey (Diamond Light Source)
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14:00
As a primer for discussion we will try to cover a few more SAS cases as well as other scattering techniques (particularly spectroscopy)
Speaker: Wojciech Potrzebowski (European Spallation Source ERIC)
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12:45
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14:00
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16:00
Discussion¶
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14:10
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14:15
We will try out OST as at the NSS retreat
https://confluence.esss.lu.se/display/SD/Science+Retreat+2018+-+Fundamentals+of+OST
Think of topics before.
Ideas
Use cases
Workflow of data analysis
Presenting results
Computational techniques -
14:25
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15:00
Coffee break 10m
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15:10
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14:10
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16:00
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17:00
Wrap/up: Wrap-up¶
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16:00
Items discussed at the meeting:
- Bayesian statistics to optimize experiments i.e. when do I have good statistics to stop measuring?
- How to treat variables correlations
- Resolution functions for small angle scattering
- Bayesian model comparison (how to select good model for fitting)
- Bayesian statistics as way to avoid overfitting
- Bayesian statistics and its relation to machine and deep learning
- How to make scattering communities aware of Bayesian statistics: constant presentation, highlight important results, show probability distribution
- Plotting distributions, Library for plotting
- Easy accessible software
- Can we have a "community prior"?
- Data format for prior and posterior to update
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16:30
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16:00
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12:00
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12:45