Timeline for What are the main algorithms the LHC particle detectors use to reconstruct decay pathways?
Current License: CC BY-SA 3.0
18 events
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Oct 9, 2014 at 23:12 | answer | added | Andre Holzner | timeline score: 7 | |
Aug 12, 2014 at 4:57 | vote | accept | Lance Pollard | ||
Aug 11, 2014 at 12:10 | answer | added | anna v | timeline score: 10 | |
Aug 11, 2014 at 6:47 | answer | added | CuriousOne | timeline score: 8 | |
Aug 10, 2014 at 16:21 | comment | added | dmckee --- ex-moderator kitten | In a sense the Monte Carlo (simulation) is not a reconstruction algorithm at all. It is a critical part of the analysis chain, but comes into play after you have figured out what kinds of things were going on in each event. I've written a about about how MCs are used elsewhere on the site. Here and here. | |
Aug 10, 2014 at 10:24 | history | tweeted | twitter.com/#!/StackPhysics/status/498414630696656897 | ||
Aug 10, 2014 at 6:13 | history | edited | Lance Pollard | CC BY-SA 3.0 |
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Aug 10, 2014 at 6:01 | comment | added | Lance Pollard | Yeah that would be perfect! This is the closest I've found so far to some description of algorithms that might be being used (like the Monte-Carlo algorithm): quantumdiaries.org/2010/12/11/when-feynman-diagrams-fail. | |
Aug 10, 2014 at 4:36 | comment | added | David Z | I think an overview answer which gives a sense of the vastness of the field could be useful. I don't know nearly enough about detectors to write it, though... | |
Aug 10, 2014 at 2:34 | comment | added | dmckee --- ex-moderator kitten | @benrg The selection of trigger conditions and the design of the electronics to allow you to set those conditions are both arts in and over themselves, but they are only the crudest part of the analysis. In order to make them fast they are limited to being minimally smart. | |
Aug 10, 2014 at 0:41 | comment | added | benrg | You might be interested in this page. Basically the vast majority of the collision data is discarded immediately by custom hardware; the vast majority of what's left is discarded immediately by slower but more sophisticated software; and what passes those stages (a mere GB/s or so of data) is stored forever and analyzed later (probably multiple times, by different groups, for different purposes, using different techniques). | |
Aug 9, 2014 at 23:58 | comment | added | dmckee --- ex-moderator kitten | It was a special class without a regular number and we mostly didn't use a text, but rather selected papers. We all had a copies of Perkins and of Leo from previous course work. | |
Aug 9, 2014 at 23:56 | comment | added | Lance Pollard | @dmckee hardcore, sounds like a lot but still interesting. What was the name of the course so I can check out textbooks maybe then related to the topic? | |
Aug 9, 2014 at 23:47 | comment | added | dmckee --- ex-moderator kitten | This is a huge topic. I literally took a semester course in grad school to get enough foundation to be ready to start learning when I took up research. and subsequently attended two different summer schools to learn a bit more. Sub-subjects include tracking, particle ID, jet identification, calorimetry and a huge body of work on beating the combinatorial explosion in the several places it rears its ugly head. | |
Aug 9, 2014 at 23:47 | comment | added | Nikos M. | i think cern has a page with references about algorithms and software used in various experiments, apart from that papers detailing the results of LHC experiments usually mention what kind of algorithms were used and what software (if any) (off the top of my head, papers about the higgs-like boson experiments had references about algorithms and software used) | |
Aug 9, 2014 at 23:05 | history | edited | Lance Pollard | CC BY-SA 3.0 |
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Aug 9, 2014 at 23:05 | history | edited | ACuriousMind♦ | CC BY-SA 3.0 |
Typo fix; retag
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Aug 9, 2014 at 23:03 | history | asked | Lance Pollard | CC BY-SA 3.0 |