Welcome, ACME introduction, environment check

• Giancarlo Cella (INFN Pisa)

ACME project slides; check of the Python environment.

Lecture: combining observations and standard sirens

• Giancarlo Cella (INFN Pisa)

Distance-inclination degeneracy; joint inference with shared parameters; reusing posterior samples (reweighting, KDE likelihoods) and double counting; standard sirens, peculiar velocities, priors on D_L and H0; selection effects.

Lab 1: the distance-inclination degeneracy

• Giancarlo Cella (INFN Pisa)

01_distance_inclination.py: toy amplitude model sampled with Bilby, compared with GW170817-like posterior samples.

Lab 2: an electromagnetic constraint on the viewing angle

• Giancarlo Cella (INFN Pisa)

02_em_viewing_angle.py: reweighting and joint Bilby run; the two forms of double counting; jet misalignment.

Lab 3: the Hubble constant from one event

• Giancarlo Cella (INFN Pisa)

03_hubble.py: H0 from GW only and GW+EM; peculiar velocities, distance and H0 priors; joint sampling over (H0, D_L, cos theta_JN, v_p).

Lab 4: many sirens and the selection effect

• Giancarlo Cella (INFN Pisa)

04_siren_population.py: scaling with the number of events; bias from neglecting selection effects.

Wrap-up and closing discussion

• Giancarlo Cella (INFN Pisa)

Dark and spectral sirens, systematics that do not average away; ticketing system and survey.