Methoden vergleichen

	NFW Halo Profile	Effektive Feldtheorie	PDF Fitting
Fachgebiet	Teilchenphysik	Teilchenphysik	Teilchenphysik
Familie	Process / pipeline	Process / pipeline	Process / pipeline
Entstehungsjahr	1997	1979	1969
Urheber	Julio Navarro, Carlos Frenk, Simon White	Steven Weinberg	James Bjorken and collaborators
Typ	Halo density model	Model-independent approach	QCD framework
Wegweisende Quelle	Navarro, J. F., Frenk, C. S., & White, S. D. M. (1997). A universal density profile from hierarchical clustering. The Astrophysical Journal, 490(2), 493.	Weinberg, S. (1979). Baryon and lepton nonconserving processes. Physical Review Letters, 43(21), 1566.	Bjorken, J. D. (1969). Asymptotic sum rules at infinite momentum. Physical Review, 179(5), 1547.
Aliasnamen	NFW profile, dark matter density profile, halo model	EFT, effective theory, operator product expansion	PDF, structure function, parton model
Verwandt	3	3	3
Zusammenfassung	The Navarro-Frenk-White (NFW) profile is a widely-adopted density profile for dark matter halos emerging from cosmological simulations. It provides a simple parametric description of how dark matter density varies with distance from the halo center, essential for modeling galaxy cluster mass distributions, weak lensing, and dark matter annihilation signals.	Effective Field Theory (EFT) is a general framework for studying physics at low energies in terms of the relevant degrees of freedom, without requiring complete knowledge of high-energy physics. By expanding in powers of energy, EFT provides model-independent parameterizations of new physics effects and systematic methods for computing precision predictions of the Standard Model.	Parton Distribution Function (PDF) fitting is the process of determining the probability distributions of quarks and gluons inside hadrons using high-energy collision data. PDFs are fundamental inputs to all hadron collider phenomenology, essential for predicting cross-sections, designing triggers, and interpreting new physics searches at the Large Hadron Collider.