Useful links (live page)
This is a collection of useful links for researchers and students.
Writing papers
- https://www.doi2bib.org/ converts the doi link to a bibtex entry
- https://www.overleaf.com/ is a collaborative LaTeX editor
- https://www.researchgate.net/ is a social network for researchers
- https://www.academia.edu/ is a social network for researchers
- https://www.arxiv.org/ is a repository of preprints
- https://www.inspirehep.net/ is a repository of high-energy physics papers
Software & Data analysis
- https://www.root.cern/ is a data analysis framework
- https://uproot.readthedocs.io/en/latest/basic.html is a python library to read ROOT files
- https://www.python.org/ is a programming language
- https://www.jupyter.org/ is a notebook for python
- https://www.numpy.org/ is a library for numerical computing
- https://www.scipy.org/ is a library for scientific computing
- https://www.matplotlib.org/ is a library for plotting
- https://mplhep.readthedocs.io/en/latest/ is a library for plotting in HEP
- https://www.pandas.pydata.org/ is a library for data manipulation
- https://docs.pola.rs/ is pandas but faster
- https://awkward-array.org/doc/main/ is a library for jagged array manipulation
- https://www.scikit-learn.org/ is a library for machine learning
- https://www.tensorflow.org/ is a library for deep learning
- https://www.keras.io/ is a library for deep learning
- https://www.pytorch.org/ is a library for deep learning
- https://www.xgboost.readthedocs.io/ is a library for gradient boosting
- https://www.lightgbm.readthedocs.io/ is a library for gradient boosting
- https://scikit-hep.org/iminuit/notebooks/basic.html is the python implementation of MINUIT
- https://zfit.readthedocs.io/en/stable/ is a library for fitting
- https://www.julialang.org/ is a programming language
- https://github.com/bat/BAT.jl is a library for Bayesian analysis in Julia
- https://github.com/JuliaPhysics/SolidStateDetectors.jl is a library for solid state detectors in Julia
- https://baltig.infn.it/ is the INFN’s gitlab
- https://geant4.web.cern.ch/ Geant4 is a toolkit for the simulation of the passage of particles through matter
- https://hub.docker.com/r/geant4/geant4 is the docker image
Conferences with a lot of interesting talks
- https://indico.cern.ch/event/1229514/ ML summer school in HEP
- https://en.pelican.study/classroom/215/dialogs/3004/run/ ML summer school in HEP
- https://indico.cern.ch/event/1078970/timetable/?view=standard Inter experiment ML
Produce paper list from InspireHEP
- https://github.com/wiso/ListOfPublicationsFromInspireHEP/tree/master script to produce a list of publications from InspireHEP – very helpful
Miscellaneous
- https://www.spaceweatherlive.com/en/archive/2020/11/29/xray.html space weather
- https://henke.lbl.gov/optical_constants/ X-ray interaction with matter
- https://henke.lbl.gov/optical_constants/atten2.html X-ray attenuation length
- http://karpathy.github.io/neuralnets/ hackers guide to neural net
- https://datafloq.com/read/12-algorithms-every-data-scientist-should-know/ important algorithms (2016)
- https://servizinazionali.infn.it/ INFN services
Statistics
- https://pdg.lbl.gov/2011/reviews/rpp2011-rev-statistics.pdf PDG review on statistics
- https://indico.cern.ch/event/559774/contributions/2656973/attachments/1510171/2355090/ICNFP2017-Berger.pdf statistical methods in HEP (ATLAS)
- https://indico.cern.ch/event/727396/contributions/3021899/attachments/1657532/2654085/Statistical_methods_at_ATLAS_and_CMS_2.pdf statistical methods in HEP (ATLAS and CMS)
- https://indico.in2p3.fr/event/16931/timetable/?view=standard 2018 school on statistics in HEP
- https://www.precision.hep.phy.cam.ac.uk/wp-content/people/mitov/lectures/GraduateLectures/Advanced-Statistics-Verkerke.pdf uncertainty estimation in HEP
- https://www.desy.de/~sschmitt/talks/LimitLecture.pdf limit setting in HEP
- https://www-library.desy.de/preparch/books/vstatmp_engl.pdf book on statistics in HEP
- https://github.com/jolange/BLUE-py combinations (BLUE) in python
- https://github.com/tomneep/blue another implementation of BLUE in python
- https://indico.cern.ch/event/353906/contributions/2219982/attachments/1329789/2010756/Tessaloniki.pdf combinations (BLUE) presentation
- https://www.sciencedirect.com/science/article/pii/S2352711020300169?via%3Dihub BLUE paper
- https://phinate.github.io/thesis/diffprog-hep.html differentiable programming in HEP
Useful links for LNF experiments
- https://www.fabrizionapolitano.it/assets/various/useful/webpagelimit/viplimit.html VIP limit calculator
- https://www.fabrizionapolitano.it/assets/various/useful/sddcheck.html VIP SDD Checker
- https://www.fabrizionapolitano.it/assets/various/useful/inspector.html JSON difference plotter (SIDDHARTA-2’s SDDs)
atomic and nuclear X-ray/gamma energies and intensities
- https://xdb.lbl.gov/Section1/Table_1-3.pdf Atomic x-rays energies and intensities
- https://web.physics.indiana.edu/courses/p451/examples/Gamma_Energies_table.pdf Gamma energies and intensities
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