TypeIaSNe#

class uvex_transients.transients.supernovae.TypeIaSNe(cosmology: Cosmology | None = None)[source]#

Type Ia (thermonuclear) supernova population.

Modeled with TypeIaSED (an Arnett-style radioactive-decay diffusion light curve with a floored-photosphere blackbody photosphere, its priors fit to the ZTF SNe Ia sample of Sarin et al. 2026). Unlike the _CoreCollapseSNe subtypes above, SNe Ia are thermonuclear rather than core-collapse events, so this class does not share their machinery: the rate is the cosmic star formation history convolved with the Maoz & Graur (2017) power-law delay-time distribution (supernovae_Ia_rate), not a fixed fraction of the core-collapse rate. The delay times are broadly distributed (a power law from 40 Myr to the age of the universe), so the resulting rate shape tracks the integrated star-formation history rather than the core-collapse subtypes’ instantaneous one – flatter at low z and slower to decline at high z.

DEFAULT_DURATION (365 d) covers the rise to peak (median ~14 d after explosion, in this model’s prior) through the decline to 1e-3 of peak for nearly the whole prior (16th–84th percentile ~270–325 d, rest frame).

DEFAULT_Z_LIM is set from an actual sample_event_redshift/peak-apparent-magnitude check against the UVEX bandpasses (25 AB mag limiting-magnitude screen): with redshift_limit temporarily raised to 4, no simulated event peaks above the limit beyond z ~ 0.8 in either band, and the NUV-detected fraction per redshift bin has already fallen to zero by z = 1 – consistent with this model’s fixed, non-evolving kappa_gamma leaving no UV-bright high-redshift tail the way MagnetarSLSNe’s magnetar engine does.

Methods

`compute_all_sky_yield`(duration)	Compute the expected intrinsic event count over the full sky.
`compute_all_sky_yield_ci`(duration)	Compute rate-only bounds on the expected all-sky intrinsic event count.
`event_rate`(z)	Compute the comoving event rate density at redshift(s) z, \(R(z;A)=A f(z)\).
`rate_shape`(z)	Return the DTD-convolved Type Ia rate shape (Maoz & Graur 2017 x Madau & Dickinson 2014) at z.
`registry`()	dict[str, type[TransientBase]]: A copy of every concrete subclass imported so far, keyed by class name.
`sample_event_count`(solid_angle[, duration, ...])	Sample the number of events in a given solid angle and duration.
`sample_event_redshift`(n_samples, *[, rng])	Draw n_samples redshifts from the rate-weighted redshift distribution.
`sample_events_on_healpix_grid`(nside, *, t_start)	Draw a Monte Carlo realization of events on a HEALPix grid, over a time window.

Attributes

`DEFAULT_DURATION`	The duration of this transient.
`DEFAULT_Z_GRID_SIZE`
`DEFAULT_Z_LIM`
`RATE_CI`	Multiplicative (lower, upper) 90% confidence factors on rate.
`all_sky_rate`	Expected all-sky event rate per observer year.
`all_sky_rate_ci`	Rate-only bounds on `all_sky_rate`.
`cosmology`	The cosmology used for luminosity-distance/volume calculations.
`duration_limit`	Upper bound on this transient's total duration.
`effective_volume`	\(\mathcal V\), the all-sky rate-weighted comoving volume.
`integrated_rate`	Expected event rate per observer time and solid angle.
`integrated_rate_ci`	Rate-only bounds on `integrated_rate`.
`luminosity_distance_grid`	\(D_L(z)\) at each point of redshift_grid.
`rate`	The local (z=0) volumetric Type Ia rate (Maoz & Graur 2017 DTD x MD14 SFH).
`rate_ci`	`(R_L, R_U)`, the confidence bounds on rate.
`redshift_grid`	The cached redshift grid backing integrated_rate/sampling.
`redshift_grid_size`	Number of points in redshift_grid; reassigning invalidates the rate cache.
`redshift_limit`	Upper redshift bound of redshift_grid; reassigning invalidates the rate cache.
`sed`	This instance's SED -- flux, magnitude, and spectrum evaluation all live here.