Bibliographic record
Abstract
On Saturday 7 August, over 200 amateur photographers took part in the first “Particle Physics Photowalk”, a photo contest organized by CERN in collaboration with DESY in Germany, Fermilab in the USA, KEK in Japan and TRIUMF in Canada. As of mid-September you will be able to discover on a dedicated website the five particle physics laboratories as seen through the lenses of the participants. Photographers at the photowalk. The Photowalk was a unique opportunity for the participants to photograph state-of-the-art accelerators and detectors in all their beauty and complexity. At CERN, the photographers were able to visit and take pictures of Linac4, the Computing Centre, SM18 and CLIC. Photographers came to CERN from Switzerland, France, the UK and Germany (one even came from the USA just for the event). “The 48 places available for the Photowalk at CERN were snatched up within days through the dedicated website”, says Sophie Tesauri from the Communication Group, one of the event's organizers. But why would a photographer want to photograph a particle accelerator? Yousef Elbes, a Jordanian electronics engineer working in France explained: “As far as I'm concerned, my interest in physics comes before my interest in photography. I am very curious to see the miracles physics can produce in building such impressive machines”. Whatever their personal motivation, the photographers' eyes were attracted by the shiny metal objects inside the magnets at SM18, the narrow corridors and blinking LEDs in the Computing Centre and the wires in the Linac4 experimental hall. But taking pictures in the experimental halls can also be very challenging from the technical point of view. At SM18, the sunlight, filtered by the large windows on the upper side of the walls, mixed with neon light to give a very subdued lighting, whereas in the Computing Centre the light was strong and definite. As well as photographing the technical aspects of CERN, the participants seemed to really capture some of the hidden aspects of the Lab’s facilities. “I am a nature photographer, so I’m used to taking pictures of rather different objects”, said Andy Hoppe from Berlin, “but the wires of the CLIC and Linac4 accelerators, as well as their colours and shapes, remind me of nerves and vessels in the human body, and of other organic patterns”. Diego Giol, an Argentinian engineer, would have preferred to see the LHC, because, he said, “that is the real thing”, even though he admits that “probably the pictures would not have been that different from the ones we are taking today, as in any case we are aiming at details”. Marion Tabeaud from Haute-Savoie, France, had taken part in other events at CERN and said: “I am pleased to have visited something different from the LHC. I will now look for some information about these facilities on the Internet”. The best pictures taken during the CERN Photowalk will be selected by a committee, and will be shown in an exhibition in the Globe in 2011. An international competition, which will select the best two of all the photos taken in the five laboratories, is also planned. The winning photos will be featured by Symmetry and the CERN Courier. From mid-September, all the pictures taken at the five labs will be published on Flickr. var flash_video_player=get_video_player_path(); insert_player_for_external('Video/Public/Movies/2010/CERN-MOVIE-2010-152/CERN-MOVIE-2010-152-0753-kbps-640x360-25-fps-audio-64-kbps-44-kHz-stereo', 'mms://mediastream.cern.ch/MediaArchive/Video/Public/Movies/2010/CERN-MOVIE-2010-152/CERN-MOVIE-2010-152-Multirate-200-to-753-kbps-640x360-25-fps.wmv', 'false', 480, 360, 'http://mediaarchive.cern.ch/MediaArchive/Video/Public/Movies/2010/CERN-MOVIE-2010-152/CERN-MOVIE-2010-152-posterframe-640x360-at-10-percent.jpg', '1285782', true);
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".