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Welcome to our Jupyter Book!
1. Tutorial 1 : Introduction to NUDA
1.1. Introduction to nucleardatapy toolkit
1.2. Warm up
2. Chapter 2: Matter
2.1. Free Fermi gas (FFG)
2.2. Microscopic calculations
2.3. Uncertainties in the theoretical predictions
2.4. Landau effective mass (micro)
2.5. Pairing gap (micro)
2.6. Phenomenological interactions (pheno)
2.7. Nuclear Empirical Parameters (NEP)
2.8. Check if a model is inside the reference band
2.9. Figures with micro and pheno together
3. Chapter 3: Correlations
3.1. Ksat-Qsat correlation
3.2. Esym-Lsym correlation
3.3. Esym(n)
4. Chapter 4: Nuclei
4.1. Experimental nuclear chart
4.2. Two-neutron and two-proton separation energies
4.3. Experimental odd-even mass staggering (OEMS)
4.4. Experimental charge radii
4.5. Experimental isoscalar giant monopole resonance (ISGMR)
5. Chapter 5: Hyper-nuclei
5.1. Experimental hyper-nuclei with 1 Lambda
5.2. Experimental hyper-nuclei with 2 Lambda
5.3. Experimental hyper-nuclei with 1 Xi
5.4. Experimental hyper-nuclear chart
6. Chapter 6: Neutron Star Crusts
6.1. Neutron Star Crust
7. Chapter 7: Equations of State
7.1. Equation of state (eos)
8. Chapter 8: Astrophysical Data
8.1. Gravitational waveform analysis (GW)
8.2. Maximum masses
8.3. TOV mass probability distribution
8.4. Observation constraints on masses and radii (NICER observatory)
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Chapter 4: Nuclei
4.
Chapter 4: Nuclei
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In this chapter we will talk about nuclei.
Important
Important stuff goes here
