Big Data Science in Astroparticle Research - Workshop

Survey

Big Data Science in Astroparticle Research - Evaluation

General

I participate in this workshop as*

Student

PhD Student

Postdoctoral researcher

Senior physicist (>5 years PhD)

Other

I have used machine learning techniques before*

Deep learning networks

Neural networks (shallow, 1-2 layers)

Boosted decision trees

None

Other

Don't know

Graph Neural Networks

Reinforcement Learning

My research interests concerning deep learning networks are*

Image pattern recognition (e.g. event reconstruction)

Classification (e.g. particle identification, physical processes)

Assignments (e.g. solving ambiguities with >2 identical particles)

Regression (calculation of variables, e.g. energy corrections)

Adversarial networks (e.g. simulate events)

Curiosity (currently no special research idea)

Applications are not obvious

Other

Resources & Data

I have access to GPU resources for network training at my research institute*

None

Some

Sufficient

Don't know

For performing my research I need access to*

Raw data

Calibrated data

Reconstructed data

High level data (direction, energy,...)

Simulated data

Other

I get the most important analysis support from*

My research group/institute

Colleagues of my collaboration

Information on websites

Previous analyses

Other

I have accessed open (public) data for my research purposes before*

Never

Sometimes

Frequently

Other

Personal wishes

The following measures are important for achieving progress in my research*

User support for deep learning

Common platform to collect and re-use networks

National GPU resources for basic research

Common national structure for deep learning applications in (astro-)particle physics

Other

For the future, I consider continuation workshops important on topic(s)*

Deep learning

Open data

Open analysis software

Analysis preservation

Not important

Other

Please write down what you liked about this workshop

Please write down what you did not like about this workshop

Please write down your future suggestions for this workshop

Tutorials

For the following questions rate:
1=strongly disagree
2=disagree
3=undecided
4=agree
5=strongly agree

The graph neural network introductory tutorial was helpful

The example applications deepened my understanding of Graph Networks

The deep learning introductory tutorial was helpful

The example applications deepened my understanding of deep networks

VISPA

For the following questions rate:
1=strongly disagree
2=disagree
3=undecided
4=agree
5=strongly agree

My overall assessment of the VISPA platform

I think that I would like to use this system frequently*

I found the system unnecessarily complex*

I thought the system was easy to use*

I think that I would need the support of a technical person to be able to use this system*

I found the various functions in this system were well integrated*

I thought there was too much inconsistency in this system*

I would imagine that most people would learn to use this system very quickly*

I found the system very cumbersome to use*

I felt very confident using the system*

I needed to learn a lot of things before I could get going with this system*

Your answers will be submitted anonymously.