From what I understand, this means that I want to find the mass matrix elements $$m^2_$$ Now, for the actual question: I want to find the masses of the particles in the various different cases. there is another, vector, field, but the quadratic term is negative: there is SSB, and the Higgs mechanism makes the Goldstone mode disappear while the giving mass to the vector, so I have one massive scalar and one massive vector.there is another, vector, field, and the quadratic term is positive: there is no SSB, I have now three particles (two massive scalars, one massless vector).the only fields are the scalars, but the quadratic term is negative: there is SSB, one field is massless (Goldstone mode), the other one gains more mass than the previous case.the only fields are the scalars, and the quadratic term is positive: there is no SSB, the fields have the same mass.Studying the lagrangian for a two-particle scalar field with a quartic interaction in the context of SSB and Higgs mechanism, one can find many different cases: Mauro Giliberti Asks: Mass terms for scalar lagrangians?įirst off, a pre-question: if I got this wrong, then probably the whole reasoning is wrong as well. Does such a data structure already exist? It seems similar to a range tree but has only a single level of interval nodes, and it is similar to an interval tree in that we want to detect bound overlaps/gaps, but then we want to merge overlaps. I have not been able to find an existing named data structure that handles this kind of access pattern. I need a "lazy range" data structure that can store "intervals" (each with bounds and an ordered list of items), respond to queries for "more before" or "more after" including items and some kind of indication of gaps, and insert new intervals (pages fetched from the backend), merging existing intervals when overlaps are detected and eliminating the gap indicator. In addition to being able to scroll and lazy-fetch additional pages in either direction, I need to be able to jump to a specific point in time and fetch the message records "around" it (a backend API problem, of course). I am writing a UI that needs to display a chat log, similar to Slack and Discord. This way, it will form the shape for training data => it will form the shape for label data => Ĭan Anyone tell me how can I load it on DataLoader in PyTorch?Ĭhrylis -cautiouslyoptimistic- Asks: Is there a data structure for lazy-loading time-series data? Total number of sample for all classes = num_sample_for_each_video * total videos = 4 * 10619 = 42142 (approximately because the sample can be 3 in certain videos) Total number of sample will be 4 for each video => (28 extracted frames)Įach sample contain 16 frames with 112x112x3 shape size. Total extracted images for each video = 28įor each video => It will read first 16 images, then it will leave next 4 image and read from 5th one till 20, by leaving next four image it will again read from 9th image to 24, and then in last till 28 for each video. Img -> these are jpg files, so each class have many videos, I extracted the image for each video and save it to the folder with the name of video from which the frames are extracted.ĭirectory of my dataset is something like this Train_data, class, video -> These are folders Note: I have extracted the frame for all videos and save it in the folder with the same name of video Tariq Hussain Asks: How can I load the custom data in the data loader (pytorch)
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