This challenge is part of an effort to explore the use of machine learning to assist high energy physicists in discovering and characterizing new particles.
Particles are the tiny constituents of matter generated in a collision between proton bunches. Physicists at CERN study particles using particle accelerators. The Large Hadron Collider (LHC) at CERN is the world’s largest and most powerful particle accelerator and is used to accelerate and collide protons as well as heavy lead ions. The LHC consists of a 27-kilometre ring of superconducting magnets with a number of accelerating structures to boost the energy of the particles along the way.
In the LHC, proton bunches (beams) circulates and collide at high energy. Each beam collision (also called an event) produces a firework of new particles. To identify the types of these particles, a complex apparatus, the detector records the small energy deposited by the particles when they impact well-defined locations in the detector.
Particle Identification (PID) is fundamental to particle physics experiments. Currently no machine learning solution exists for PID.
The goal of this challenge is to build a machine learning model to read images of particles and identify their type.
This challenge was provided by Sabrina Amrouche and Dalila Salamani who are researchers at CERN and are hosting a session on machine learning at the 10th Conference on High Energy and Astro Particles.
About the Tenth International Conference on High Energy and Astro Particles (event)
This Tenth edition of the International Conference on High Energy and Astroparticle Physics (TIC-HEAP) will be held at Mentouri University, Constantine in Algeria during the period of 19th-21st October 2019. Held in close coordination with the DGRSDT (The Algerian General Direction of Scientific Research), it will focus on discussing the latest development on particle physics, astroparticle and cosmology, as well as strategically planning for Algeria to become an active participating member of the CERN.
Teams and collaboration
You may participate in this competition as an individual or in a team of up to four people. When creating a team, the team must have a total submission count less than or equal to the maximum allowable submissions as of the formation date. A team will be allowed the maximum number of submissions for the competition, minus the highest number of submissions among team members at team formation. Prizes are transferred only to the individual players or to the team leader.
Multiple accounts per user are not permitted, and neither is collaboration or membership across multiple teams. Individuals and their submissions originating from multiple accounts will be disqualified.
Code must not be shared privately outside of a team. Any code that is shared, must be made available to all competition participants through the platform. (i.e. on the discussion boards).
Datasets and packages
The solution must use publicly-available, open-source packages only. Your models should not use any of the metadata provided.
You may use only the datasets provided for this competition.
The data used in this competition is the sole property of Zindi and the competition host. You may not transmit, duplicate, publish, redistribute or otherwise provide or make available any competition data to any party not participating in the Competition (this includes uploading the data to any public site such as Kaggle or GitHub). You may upload, store and work with the data on any cloud platform such as Google Colab, AWS or similar, as long as 1) the data remains private and 2) doing so does not contravene Zindi’s rules of use.
You must notify Zindi immediately upon learning of any unauthorised transmission of or unauthorised access to the competition data, and work with Zindi to rectify any unauthorised transmission or access.
Your solution must not infringe the rights of any third party and you must be legally entitled to assign ownership of all rights of copyright in and to the winning solution code to Zindi.
Submissions and winning
You may make a maximum of 10 submissions per day. Your highest-scoring solution on the private leaderboard at the end of the competition will be the one by which you are judged.
As the challenge has now closed, the maximum number of submissions per day is 30.
Zindi maintains a public leaderboard and a private leaderboard for each competition. The Public Leaderboard includes approximately 50% of the test dataset. While the competition is open, the Public Leaderboard will rank the submitted solutions by the accuracy score they achieve. Upon close of the competition, the Private Leaderboard, which covers 100% of the test dataset, will be made public and will constitute the final ranking for the competition.
If you are in the top 20 at the time the leaderboard closes, we will email you to request your code. On receipt of email, you will have 48 hours to respond and submit your code following the submission guidelines detailed below. Failure to respond will result in disqualification.
If your solution places 1st, 2nd, or 3rd in the final ranking, will NOT be required to assign rights of copyright to Zindi. We will however encourage the winners to share their code on GitHub as a public good to the sector.
If two solutions earn identical scores on the leaderboard, the tiebreaker will be the date and time in which the submission was made (the earlier solution will win).
The winners will be paid via bank transfer, PayPal, or other international money transfer platform. International transfer fees will be deducted from the total prize amount, unless the prize money is under $500, in which case the international transfer fees will be covered by Zindi. In all cases, the winners are responsible for any other fees applied by their own bank or other institution for receiving the prize money. All taxes imposed on prizes are the sole responsibility of the winners.
You acknowledge and agree that Zindi may, without any obligation to do so, remove or disqualify an individual, team, or account if Zindi believes that such individual, team, or account is in violation of these rules. Entry into this competition constitutes your acceptance of these official competition rules.
- All data used
- Output data and where they are stored
- Explanation of features used
- Your solution must include the original data provided by Zindi and validated external data (no processed data)
- All editing of data must be done in a notebook (i.e. not manually in Excel)
- You must use the most recent versions of packages. Custom packages in your submission notebook will not be accepted.
- You may only use tools available to everyone i.e. no paid services or free trials that require a credit card.
Consequences of breaking any rules of the competition or submission guidelines:
Monitoring of submissions
Further updates and rulings of note:
We reserve the right to update these rules at any time.
The evaluation metric for this challenge is Log Loss.
The submission file should be a CSV. The target values can be 0s and 1s, or any values in between, i.e. the probability that the given particle belongs to each class. (The values in each row do NOT necessarily need to add up to 1)
Note that the test set has been designed to increase the balance among the classifications.
Your submission file should look like:
image electron muon pion kaon proton 1 .09908 .1213 .99876 .01234 .2345 2 1 0 0 0 0
There are no cash prizes for this challenge.
However, the top 10 submissions will earn up to 2000 Zindi Points.
Competition closes on 16 February 2020.
Final submissions must be received by 11:59 PM GMT.
We reserve the right to update the contest timeline if necessary.