For newcomers

Start here

Collider physics has a steep entry ramp: a vocabulary nobody writes down, statistical machinery that arrives fully assembled, and reconstruction algorithms treated as black boxes. These are the explanations I wish had existed when I started — written for students joining the group, but open to anyone. No background is assumed beyond curiosity and a little calculus.

A suggested path

  1. Week one: work through the Unix shell, git and Python modules below — everything else in the group assumes them.
  2. Start with Part 1 of Bending the Bell Curve for an afternoon — it asks nothing of you but attention.
  3. Keep The ATLAS Lexicon open in a tab from day one; look up every unfamiliar term as it appears in meetings.
  4. Once a year, spend an afternoon in a school's Indico timetable (start with Expanding our Horizons); it is the fastest way to find out what the field currently thinks is important.
  5. Bookmark the PDG and learn the Monte Carlo numbering scheme the first time a generator log shows you a 7-digit code; then walk the Getting information out of the LHC section so you know where results, luminosity and datasets actually live.
  6. Read Reading LHE Files the day you first run MadGraph, and Kalman Track Fitting when you first touch tracking, reconstruction, or anything that produces a χ².
  7. Return to the full Bending the Bell Curve once generative models or likelihood-free inference enter your project.

Probability & machine learning

The gentlest entry point

Bending the Bell Curve — Part 1: The Shape of Chance

The opening installment of a five-part tour of normalizing flows: a plain-words, poke-the-pictures introduction to what a probability distribution actually is and what it means to reshape one. Read this first if the phrase “generative model” has ever gone by without landing.

InteractiveNo prerequisitesPart 1 of 5
Begin Part 1 →

The rest of the tour, in order: Part 2 · Keeping the Receipts  ·  Part 3 · Machines That Bend  ·  Part 4 · Make the Data Likely  ·  Part 5 · Flows Without Steps

The full tutorial

Bending the Bell Curve: Normalizing Flows from Scratch

The complete tour — take a plain bell curve and bend it, carefully, until it matches your data. Five sections of sliders and live demos carry you from probability conservation through invertible transformations to image generation, closing with a bonus on importance sampling for numerical integration: the same trick, pointed at an integral instead of a picture.

Interactive demos~7,000 wordsBuilds to research use
Read the full tutorial →

Computing foundations

Free, self-paced modules — most from the HEP Software Foundation Training Center, built by physicists for physicists. Each takes an afternoon to a few days. Do the first row before anything else.

Start here · the non-negotiables

C++ and build systems

The analysis toolkit

Reproducibility and deployment

Machine learning

Event generation

The Les Houches accord, line by line

Reading LHE Files

What every number in a Les Houches Event file means and how to parse one that will not fit in memory: the init and event blocks, status codes and mother indices, colour flow, the IDWTUP weight conventions and what negative weights cost you, the LHEF 3 named weights and event attributes, and why every real reader is a line-by-line state machine rather than an XML parser. Comes with a dependency-free streaming Python reader, a validator, and a two-event sample file to try it on.

12 sectionsAnnotated sample filePython reader included
Open the tutorial →

Reconstruction

How a track becomes a number

Kalman Track Fitting

Predict, filter, smooth — the algorithm behind essentially every track in every collider experiment, built up one plane at a time. Covers what a track is numerically, propagation between detector layers, the filter and smoother steps, search windows for hit finding, whether you should believe your covariance matrix, and the failure modes that will bite you. Runs on a toy tracker you can follow end to end.

12 sectionsWorked toy exampleSome linear algebra
Open the tutorial →

The Particle Data Group

The Review of Particle Physics is the reference every number in a HEP paper traces back to — masses, widths, branching fractions, couplings, and the review articles that define how the field does statistics, kinematics and Monte Carlo. The 2026 edition is current; the reviews below are the ones you will open most.

PDG home
The Review of Particle Physics, 2026 edition — listings, reviews, tables and the booklet.
pdg.lbl.gov
pdgLive
Interactive particle listings: every measurement behind every average, with the references. Start here when you need a number and its provenance.
Listings
Reviews, tables & plots
The full index of review articles, summary tables and standard figures.
Index
Statistics review
Likelihoods, confidence intervals, CLs, look-elsewhere — the conventions reviewers will hold you to.
Review
Kinematics review
Lorentz transformations, invariant mass, rapidity, phase space, transverse-mass variables.
Review
Monte Carlo techniques
Random numbers, sampling, and the event-generator overview — companion to the numbering scheme below.
Review
Electroweak model & constraints
The global electroweak fit and what it says about new physics — required reading for the SMEFT program.
Review
Higgs boson physics
Production, decay, coupling measurements and the combination landscape.
Review
Quantum chromodynamics
αs, factorization, jets and the running of everything.
Review
Structure functions
PDFs and their determination — the inputs every LHC cross section depends on.
Review
Passage of particles through matter
Ionization, radiation length, Molière scattering — the physics behind every detector chapter.
Review
Particle detectors at accelerators
Trackers, calorimeters, muon systems and triggers, with the standard performance numbers.
Review
High-energy collider parameters
One table with the energy, luminosity and bunch structure of every collider, past and proposed.
Table
Physical constants
The CODATA values with the uncertainties you should actually quote.
Table
PDG API & data files
REST and Python (pip install pdg) access to the listings, plus SQLite dumps and the mass_width table generators read.
Programmatic
The booklet
The pocket edition; the PDF is what you actually keep open on a second screen.
Booklet

The Monte Carlo particle numbering scheme

Every particle in every generator, HepMC record and analysis ntuple is identified by a PDG ID — an integer defined by the Monte Carlo Particle Numbering Scheme (Buckley, Krauss, Navas, Richardson). Learn the pattern once and you will never look up a hadron code again.

± n nr nL nq1 nq2 nq3 nJ

Fundamental particles get one or two digits; hadrons get up to seven. Read a hadron code from the right: nJ = 2J+1 (so 1 for pseudoscalars, 3 for vectors, 2 for spin-½ baryons, 4 for spin-3/2), then the quark content nq1nq2nq3 in decreasing order (mesons use two digits, with the heavier quark first), then nL and nr for orbital and radial excitations. The sign gives particle versus antiparticle; neutral self-conjugate states have no negative code. Codes 81–100 are reserved for generator internals (Pythia's string is 92, a cluster 91), nuclei are ten digits ±10LZZZAAAI, and SUSY partners add 1000000 or 2000000 (left/right) to the SM code.

In Python, particle from Scikit-HEP implements the whole scheme: Particle.from_pdgid(211).name, PDGID(1000022).is_sm_lepton, and a full table of properties.

PDG IDParticleWhy that number
1–6d, u, s, c, b, tquarks by generation, down-type first
11, 12 … 16e−, νe, μ−, νμ, τ−, ντleptons; note e− is +11, e+ is −11
21, 22, 23, 24, 25g, γ, Z, W+, Hgauge bosons and the Higgs
32, 33, 34, 35–37Z′, Z″, W′, H0/A0/H+the standard BSM boson slots
111, 211π0, π+light mesons, nJ=1
221, 331, 113, 213, 223η, η′, ρ0, ρ+, ωvectors end in 3
321, 311, 130, 310K+, K0, KL, KSthe neutral kaon mass eigenstates are special-cased
411, 421, 431, 443D+, D0, Ds+, J/ψcharm: leading digit 4
521, 511, 531, 553B+, B0, Bs0, Υbeauty: leading digit 5
2212, 2112, 3122, 3222p, n, Λ, Σ+baryons: three quarks then 2J+1=2
2224, 1114Δ++, Δ−spin-3/2 baryons end in 4
1000022, 1000006, 2000006χ̃01, t̃1, t̃2SUSY: 1000000/2000000 + SM code
1000010020, 1000020040deuteron, αnuclei: 10LZZZAAAI
91, 92, 93cluster, string, indep. frag.generator-internal objects (81–100)
4900xxx, 9900xxxhidden-valley, user-definedreserved blocks for models and private use

Getting information out of the LHC

The group is on ATLAS, so ATLAS entries come first and CMS equivalents follow. A CERN login tag means the page needs a CERN account or grid certificate.

Published results & data

ATLAS public results
The front door: papers, CONF notes, PUB notes and plots by physics group, plus luminosity, trigger and performance results.
ATLAS
ATLAS papers listing
Every ATLAS paper by internal reference (e.g. STDM-2023-05), each with figures, tables, auxiliary material and the HEPData link.
ATLAS
Standard Model group results
The SM group's page — multiboson, VBS, and electroweak measurements live here.
ATLAS
ATLAS SM summary plots
The cross-section overview plot and its siblings, updated each conference season — the figure you put on slide 2.
ATLAS
Results with Run 3 data
A running list of every ATLAS result using the 13.6 TeV dataset.
ATLAS
CMS publications
The CMS papers listing by group (SMP, HIG, TOP, SUS, EXO…) with figures and additional material; preliminary results (PAS) are next door.
CMS
CMS SM summary plots
The CMS cross-section summary and combined-results plots; searches summaries are separate.
CMS
HEPData
Digitized tables, histograms and covariance matrices from published results, downloadable as YAML, ROOT or CSV; ATLAS SUSY searches also attach full pyhf likelihoods.
Data
INSPIRE-HEP
The literature database: search syntax, citation counts, author profiles and a clean API (it powers the arXiv digest on this site).
Literature
CERN Document Server
Where CONF notes, PUB notes, theses, and internal-turned-public notes are archived.
Literature
ATLAS Open Data
Real 13 TeV collision data and simulation released for education and research, with notebooks — the fastest way to touch ATLAS data before you have a grid certificate.
ATLAS
CERN Open Data portal
Full CMS AOD/NanoAOD releases (and ATLAS, LHCb, ALICE), with the CMS Open Data guide for getting started.
CMS & all

Machine status & schedule

Run 3 ended on 29 June 2026 and the machine is now in Long Shutdown 3; the accelerator complex restarts from 2028 and the HL-LHC is scheduled to begin in 2030.

Reinterpretation & recasting

Datasets, conditions & data quality

Schools & lecture archives

Summer schools post their slides on Indico and leave them there; a good school's timetable is a free, current textbook on the topic. These are the ones whose material is worth mining even if you never attend. (Application deadlines for the schools you can still apply to are on the Opportunities page.)

Featured · lecture slides online

Expanding our Horizons — the BNL–CERN school on future colliders

CERN, 26 August – 4 September 2026. An advanced school for PhD students and early postdocs built around the “Physics, Experiments and Detectors” questions of the next machines, with FCC-ee and the EIC as the worked examples. Two weeks of lectures with PDFs on the timetable: BSM (S. Renner), electroweak (A. Vicini), QCD (G. Stagnitto), flavour (G. Isidori), PDFs and FCC-hh (V. Bertone, S. Williams), accelerators and EPOL (F. Asvesta, T. Raubenheimer, J. Keintzel, T. Pieloni), silicon, calorimetry, gas and RICH detectors (W. Snoeys, S. Monteil, R. Farinelli, F. Tessarotto), detector simulation and physics performance (A. Zaborowska, M. Selvaggi), machine–detector interfaces, the muon collider (D. Lucchesi), AI for physics (M. Pierini) and software (B. François). If you are joining the FCC-ee generator work, start with the electroweak, QCD and physics-performance sets.

Future collidersSlides on IndicoPhD & postdoc level
Open the timetable →
CERN Summer Student Lecture Programme
Five weeks of introductory lectures every July, from the Standard Model to detectors, statistics and computing. Slides on Indico; past years' recordings are on CDS. The best undergraduate-to-PhD bridge there is.
CERN · yearly
European School of High-Energy Physics
The CERN–JINR school for final-year PhD students: ~31 ninety-minute lectures on theory, phenomenology and experiment; 2026 edition in Ostróda, Poland. Lecture notes are later published as CERN Yellow Reports.
ESHEP · yearly
CERN–Fermilab Hadron Collider Physics Summer School
Alternates between the two labs (Fermilab, 3–14 August 2026; CERN in 2025). The LHC-analysis curriculum: QCD, EW, Higgs, top, detectors, statistics and ML, with slides from each edition kept on Indico.
HCPSS · yearly
MCnet Summer School
The event-generator school (19th edition at CERN, 31 May – 5 June 2026): matrix elements, showers, matching and merging, hadronisation, taught by the people who write Pythia, Herwig and Sherpa.
MCnet · yearly
FCC Physics Workshop
The annual physics-and-performance meeting of the FCC study (9th edition, January 2026). Not a school, but the talks are the most current statement of what FCC-ee needs from theory, generators and detectors.
FCC · yearly
FCC-ee physics workshops
The Indico category with every FCC-ee physics and performance workshop, including the US and regional meetings.
Indico category
CERN Academic Training lectures
Multi-hour lecture series on single topics, recorded since the 1990s and searchable on CDS — the place to find a four-lecture course on, say, parton showers or silicon sensors.
CDS · recordings
Hadron Collider Physics school archive
Every past HCPSS edition on CERN Indico, back to the first joint schools.
Indico category

Reference

Before you move to CERN

USLUA Relocation Guide for CERN

The US LHC Users Association's practical guide for Americans relocating to Geneva — housing, registration, banking, transport, and the paperwork nobody warns you about — plus a companion page on voting in US elections from CERN. Read it the week you get your travel dates.

PracticalUS citizens abroadUSLUA
Open the guide →
The vocabulary nobody writes down

The ATLAS Lexicon

390 searchable entries across theory, reconstruction, statistics, object identification, software, calorimetry, trigger and DAQ, collaboration practice, beams, Monte Carlo, upgrades, and muon systems — each with a definition and a note on what actually trips people up. The reference for the moment a collaboration meeting turns into acronyms.

390 terms12 areasSearchable
Browse the lexicon →

Found an error, or something that deserves an entry? Write to saptaparnab@smu.edu — corrections from newcomers are the most useful kind, because you are the one who noticed the gap.