While the clicks are gathering, and while various people, including schools working with IRIS, are analysing the resulting data, I’ve been starting a study of what’s being discussed on the Talk forum. A wordcloud of the content of the comments already tells us quite a lot…
Unsurprisingly #ocv is the top-ranked hashtag as people indicate they’ve found an off-centre vertex.
As we might expect, citizen scientists use descriptors like “blue” or “white” to describe objects in the images, and then there’s also a good deal of further analysis, with words like “branches”, “center” and “detector”. Clearly some images are hard to interpret as they’re #messy, or otherwise generally a #toughie. Fortunately at least some are “interesting”!
It is great that there’s plenty of particle physics technical talk of “muon”, “quark”. I love even more that the hashtag “#bundle” has developed its own meaning within the HiggsHunters community, even though it’s not one used in the generaly particle physics jargon. Clearly the Zooniverse’s citizen scientists are developing their own technical vocabulary for the images.
So my next job is to go out and understand those new terms…!
Over the summer, we put together a paper on the HiggsHunters project and your performance, and it’s now been submitted to a journal and the arxiv preprint server – have a look!
One highlight is a discussion of your ability to identify Off-Centre Vertices compared to reconstruction algorithms, and in a substantial fraction of cases you do a better job! Out of nine different types of simulated “baby bosons”, you outperform the computers for three and come close on a further three. Below is an example of one of the cases where you do best compared to the reconstruction algorithms, with different coloured points representing different ways of clustering your clicks, for example varying N_clicks = the number of you who clicked on a given location. It’s clear you can identify vertices more efficiently (points further to the right) and with fewer false identifications (further down) than the algorithm – marked by a black star – so well done! We also talk about your abilities to spot interesting and unexpected features, for example the muon jet.
This bodes well for the next steps, where with the help of researchers in schools we’ll further optimise the combination of your clicks and then apply the lessons learned to see what we can uncover in the actual data!
As part of the legacy of the HiggsHunters project, school children in the UK and around the world are being given the chance to search in the HiggsHunters data for new particles.
Getting schools doing cutting-edge research is the brainchild of the amazing school teacher Prof Becky Parker, who has set up the Institute for Research in Schools to bring real search from NASA, CERN and elsewhere to schools.
Pupils at the HiggsHunters schools launch
We launched the project to an audience of Scottish school kids and their teachers at the Royal Society of Edinburgh on 16th September. The expert panel answering their questions contained one particularly famous face in the field – Prof Peter Higgs himself.
Here are a few (of many!) nice examples where you’ve collectively outperformed the reconstruction algorithms to find some Off-Centre Vertices in simulation.
Image 1 – AHH00002qz ‘zoom’
7 clicks from 7 people (marked with pale blue dots) form a cluster (orange dot at (420,590)) right on top of one the ‘truth’ (i.e. real, from simulation) OCVs (yellow dots) – well done!
Image 2 – AHH00002rw ‘normal’
Here 3 people have together identified both OCVs – the orange dots are hidden underneath the yellow ones since they’re spot on!
Image 2 – AHH00006xk ‘slice’
Saving the best for last: a more complicated image, with a few ‘stray’ tracks complicating things. However, when combined the 28 clicks from 7 people form clusters bang on the simulated decay points! As an aside: the ‘weird’ clicks are marking the little coloured dots you often see in slice views – these are completely expected, and show the positions of all the proton-proton collisions that happened at the same time but at different positions along the beam pipe (which runs horizontally across the centre of the image).
It’s great to see you all doing such a good job at finding these OCVs, more analysis to follow!
With the 2016 LHC restart well under way, having successfully recovered from attacks by small mammals (BBC article), it’s time to start analysing your clicks in earnest! Over the past year and a half you’ve made more than half a million classifications (thank you!), and flagged a whole host of interesting features. Over the next few months we’ll be extending the work done by Thomas (e.g. here) on this enlarged dataset to see what we can find out! Stay tuned for more details, and keep on clicking – every image you look at is potentially an as-yet unseen event!
Just a quick update today to share this image with you: it’s an image of subject AHH0000kf4, a possible candidate for a cosmic ray. The prominent orange markings, which are present on only a few of the images of this type, are “muon track segments” reconstructed by the detectors. This is slice view, but it looks different to the one you’re used to, which is a zoomed-in and heavily fisheyed version of the central detector – great for detecting any OCVs, but it doesn’t show these particle tracks as well. This was a very striking image, I hope you enjoy it too!
Many of you may be aware of this already, but I thought you might find it fun! The software that’s used to produce the images you see on Higgs Hunters from the raw data from the Atlas experiment is called Atlantis. On the Atlantis website, there’s a section under “Master Classes” which should allow you to access Minerva, a tutorial guide that will help you recognise what type of particles are being produced in the images that you see. (Note that this all runs on Java, so you’ll need Java 5 or above for this to work.)
If you download Minerva, you’ll notice that the images they use look quite different to the ones presented to you on Higgs Hunters. Part of this is to do with the aesthetic changes made for the images on the website, but a more obvious change is the Fisheye transformation which we apply to the images before uploading them. This essentially magnifies the inner part of the detector, where you’ll find the OCVs, and shrinks the outer part of the detector – the calorimeters and the particle detectors. You can actually implement this yourself in the Java applet for Atlantis, select the Fisheye button:
If you then set the parameter in the “Value” box to around 14, you’ll produce an image closer to those we see in Higgs Hunters.
Minerva gives you a series of events to classify and you should be able to check your answers on the internet – the events can be scrolled through using the arrow keys. The last few should contain Higgs boson events! Happy hunting!
Further to Andy’s identification of a hadronic interaction, where an apparent OCV is produced by interactions between particles and parts of the detector, I’ve identified some candidates for hadronic interactions. This is a small subset of those candidates. What do you think? Do these tracks that originate from a piece of detector material?
How many of these have you seen during your Higgs Hunting escapades?
We’ve selected a small subset of the data images that a lot of people flagged as unusual and we’re hoping to analyse the data from these events in more detail. An interesting phenomenon, which may well be caused by an error in the system that draws particle tracks or in the detector, are the muon tracks that bend sharply. A few of these also look like cosmic rays. Feast your eyes!