Flavor Transformations: snewpy.flavor_transformation

Warning

Once it’s published, point readers to the SNEWPY paper for exact transition probabilities, etc.

Base Class for Flavor Transformations

class snewpy.flavor_transformation.FlavorTransformation[source]

Generic interface to compute neutrino and antineutrino survival probability.

abstract prob_ee(t, E)[source]

Electron neutrino survival probability.

Parameters

  • t (float or ndarray) – List of times.

  • E (float or ndarray) – List of energies.

Returns

float or ndarray – Transition probability.

abstract prob_eebar(t, E)[source]

Electron antineutrino survival probability.

Parameters

  • t (float or ndarray) – List of times.

  • E (float or ndarray) – List of energies.

Returns

float or ndarray – Transition probability.

abstract prob_ex(t, E)[source]

X -> e neutrino transition probability.

Parameters

  • t (float or ndarray) – List of times.

  • E (float or ndarray) – List of energies.

Returns

float or ndarray – Transition probability.

abstract prob_exbar(t, E)[source]

X -> e antineutrino transition probability.

Parameters

  • t (float or ndarray) – List of times.

  • E (float or ndarray) – List of energies.

Returns

float or ndarray – Transition probability.

abstract prob_xe(t, E)[source]

e -> X neutrino transition probability.

Parameters

  • t (float or ndarray) – List of times.

  • E (float or ndarray) – List of energies.

Returns

float or ndarray – Transition probability.

abstract prob_xebar(t, E)[source]

e -> X antineutrino transition probability.

Parameters

  • t (float or ndarray) – List of times.

  • E (float or ndarray) – List of energies.

Returns

float or ndarray – Transition probability.

abstract prob_xx(t, E)[source]

Flavor X neutrino survival probability.

Parameters

  • t (float or ndarray) – List of times.

  • E (float or ndarray) – List of energies.

Returns

float or ndarray – Transition probability.

abstract prob_xxbar(t, E)[source]

X -> X antineutrino survival probability.

Parameters

  • t (float or ndarray) – List of times.

  • E (float or ndarray) – List of energies.

Returns

float or ndarray – Transition probability.

Available Transformations

Supernova oscillation physics for flavors e, X, e-bar, X-bar.

For measured mixing angles and latest global analysis results, visit http://www.nu-fit.org/.

class snewpy.flavor_transformation.NoTransformation[source]

Survival probabilities for no oscillation case.

class snewpy.flavor_transformation.CompleteExchange[source]

Survival probabilities for the case when the electron flavors are completely exchanged with the x flavor.

class snewpy.flavor_transformation.AdiabaticMSW(mix_angles=None, mh=MassHierarchy.NORMAL)[source]

Adiabatic MSW effect.

class snewpy.flavor_transformation.NonAdiabaticMSWH(mix_angles=None, mh=MassHierarchy.NORMAL)[source]

Nonadiabatic MSW effect.

class snewpy.flavor_transformation.TwoFlavorDecoherence(mix_angles=None, mh=MassHierarchy.NORMAL)[source]

Star-earth transit survival probability: two flavor case.

class snewpy.flavor_transformation.ThreeFlavorDecoherence[source]

Star-earth transit survival probability: three flavor case.

class snewpy.flavor_transformation.NeutrinoDecay(mix_angles=None, mass=<Quantity 1.11265006e-17 eV s2 / m2>, tau=<Quantity 1. d>, dist=<Quantity 10. kpc>, mh=MassHierarchy.NORMAL)[source]

Decay effect, where the heaviest neutrino decays to the lightest neutrino. For a description and typical parameters, see A. de Gouvêa et al., PRD 101:043013, 2020, arXiv:1910.01127.

class snewpy.flavor_transformation.AdiabaticMSWes(mix_angles, mh=MassHierarchy.NORMAL)[source]

A four-neutrino mixing prescription. The assumptions used are that:

  1. the fourth neutrino mass is the heaviest but not so large that the electron-sterile resonances are inside the neutrinosphere;

  2. the “outer” or H’ electron-sterile MSW resonance is adiabatic;

  3. the “inner” or H’’ electron-sterile MSW resonance (where the electron fraction = 1/3) is non-adiabatic.

For further insight see, for example, Esmaili, Peres, and Serpico, Phys. Rev. D 90, 033013 (2014).

class snewpy.flavor_transformation.NonAdiabaticMSWes(mix_angles, mh=MassHierarchy.NORMAL)[source]

A four-neutrino mixing prescription. The assumptions used are that:

  1. the fourth neutrino mass is the heaviest but not so large that the electron-sterile resonances are inside the neutrinosphere;

  2. the “outer” or H’ electron-sterile MSW resonance is non-adiabatic;

  3. the “inner” or H’’ electron-sterile MSW resonance (where the electron fraction = 1/3) is non-adiabatic.

For further insight see, for example, Esmaili, Peres, and Serpico, Phys. Rev. D 90, 033013 (2014).