NcSNIADistCov: NumCosmo Reference Manual

NcSNIADistCov

NcSNIADistCov — Supernovae distance covariance between distance estimates.

Functions

NcSNIADistCov *	nc_snia_dist_cov_new ()
NcSNIADistCov *	nc_snia_dist_cov_new_by_id ()
NcSNIADistCov *	nc_snia_dist_cov_ref ()
void	nc_snia_dist_cov_free ()
void	nc_snia_dist_cov_clear ()
void	nc_snia_dist_cov_set_empty_fac ()
void	nc_snia_dist_cov_set_dist ()
void	nc_snia_dist_cov_prepare ()
void	nc_snia_dist_cov_prepare_if_needed ()
gboolean	nc_snia_dist_cov_calc ()
void	nc_snia_dist_cov_mean ()
void	nc_snia_dist_cov_mean_V2 ()
gdouble	nc_snia_dist_cov_mag ()
void	nc_snia_dist_cov_mag_to_width_colour ()
gdouble	nc_snia_dist_cov_extra_var ()
void	nc_snia_dist_cov_alpha_beta ()

Properties

double	M1	Read / Write
gboolean	M1-fit	Read / Write
double	M2	Read / Write
gboolean	M2-fit	Read / Write
double	alpha	Read / Write
gboolean	alpha-fit	Read / Write
double	beta	Read / Write
gboolean	beta-fit	Read / Write
NcDistance *	dist	Read / Write / Construct
gboolean	empty-fac	Read / Write / Construct
NcmVector *	lnsigma-int	Read / Write
GVariant *	lnsigma-int-fit	Read / Write
guint	lnsigma-int-length	Read / Write / Construct Only
double	lnsigma-lens	Read / Write
gboolean	lnsigma-lens-fit	Read / Write
double	lnsigma-pecz	Read / Write
gboolean	lnsigma-pecz-fit	Read / Write
NcmVector *	mu	Read / Write
GVariant *	mu-fit	Read / Write
guint	mu-length	Read / Write / Construct Only

Types and Values

enum	NcSNIADistCovSParams
enum	NcSNIADistCovVParams
#define	NC_SNIA_DIST_COV_DEFAULT_ALPHA
#define	NC_SNIA_DIST_COV_DEFAULT_BETA
#define	NC_SNIA_DIST_COV_DEFAULT_M1
#define	NC_SNIA_DIST_COV_DEFAULT_M2
#define	NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_PECZ
#define	NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_LENS
#define	NC_SNIA_DIST_COV_DEFAULT_PARAMS_ABSTOL
#define	NC_SNIA_DIST_COV_LNSIGMA_INT_DEFAULT_LEN
#define	NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_INT
#define	NC_SNIA_DIST_COV_MU_DEFAULT_LEN
#define	NC_SNIA_DIST_COV_DEFAULT_MU

Object Hierarchy

    GEnum
    ├── NcSNIADistCovSParams
    ╰── NcSNIADistCovVParams
    GObject
    ╰── NcmModel
        ╰── NcSNIADistCov

Description

This object implements the calculation necessary to make a statistical analysis using data from Conley et al. (2011) and Sullivan et al. (2011).

Is also supports Betoule et al. (2014).

Functions

nc_snia_dist_cov_new ()

NcSNIADistCov *
nc_snia_dist_cov_new (NcDistance *dist,
                      guint sigma_int_len);

FIXME

Parameters

dist	a NcDistance
sigma_int_len	length of the sigma_int dataset

Returns

FIXME

nc_snia_dist_cov_new_by_id ()

NcSNIADistCov *
nc_snia_dist_cov_new_by_id (NcDistance *dist,
                            NcDataSNIAId snia_id);

Creates a new SNIa model using the default values for the sample defined by snia_id .

[constructor]

Parameters

dist	a NcDistance
snia_id	a NcDataSNIAId

Returns

a new NcSNIADistCov.

[transfer full]

nc_snia_dist_cov_ref ()

NcSNIADistCov *
nc_snia_dist_cov_ref (NcSNIADistCov *dcov);

Increases the reference count of dcov .

Parameters

dcov

a NcSNIADistCov

Returns

the same dcov .

[transfer full]

nc_snia_dist_cov_free ()

void
nc_snia_dist_cov_free (NcSNIADistCov *dcov);

Decreases the reference count of dcov . If the reference count reaches 0, the object is freed.

Parameters

dcov

a NcSNIADistCov

nc_snia_dist_cov_clear ()

void
nc_snia_dist_cov_clear (NcSNIADistCov **dcov);

If *dcov is not NULL, decreases the reference count of dcov and sets *dcov to NULL.

Parameters

dcov

a NcSNIADistCov

nc_snia_dist_cov_set_empty_fac ()

void
nc_snia_dist_cov_set_empty_fac (NcSNIADistCov *dcov,
                                gboolean enable);

Sets the empty universe approximation factor to enable .

Parameters

dcov	a NcSNIADistCov
enable	a gboolean

nc_snia_dist_cov_set_dist ()

void
nc_snia_dist_cov_set_dist (NcSNIADistCov *dcov,
                           NcDistance *dist);

Sets the NcDistance object to dist .

Parameters

dcov	a NcSNIADistCov
dist	a NcDistance

nc_snia_dist_cov_prepare ()

void
nc_snia_dist_cov_prepare (NcSNIADistCov *dcov,
                          NcmMSet *mset);

Prepares the distance calculation using the cosmological model from mset .

Parameters

dcov	a NcSNIADistCov
mset	a NcmMSet

nc_snia_dist_cov_prepare_if_needed ()

void
nc_snia_dist_cov_prepare_if_needed (NcSNIADistCov *dcov,
                                    NcmMSet *mset);

Prepares the distance calculation using the cosmological model from mset if needed.

Parameters

dcov	a NcSNIADistCov
mset	a NcmMSet

nc_snia_dist_cov_calc ()

gboolean
nc_snia_dist_cov_calc (NcSNIADistCov *dcov,
                       NcDataSNIACov *snia_cov,
                       NcmMatrix *cov);

Computes the covariance matrix for the SN Ia distance estimates. If the covariance matrix is already computed and the parameters are the same, the function returns FALSE.

Parameters

dcov	a NcSNIADistCov
snia_cov	a NcDataSNIACov
cov	a NcmMatrix

Returns

whether the covariance was computed.

nc_snia_dist_cov_mean ()

void
nc_snia_dist_cov_mean (NcSNIADistCov *dcov,
                       NcHICosmo *cosmo,
                       NcDataSNIACov *snia_cov,
                       NcmVector *y);

Computes the mean of the SN Ia distance estimates.

Parameters

dcov	a NcSNIADistCov
cosmo	a NcHICosmo
snia_cov	a NcDataSNIACov
y	a NcmVector

nc_snia_dist_cov_mean_V2 ()

void
nc_snia_dist_cov_mean_V2 (NcSNIADistCov *dcov,
                          NcHICosmo *cosmo,
                          NcDataSNIACov *snia_cov,
                          NcmVector *y);

Computes the mean of the SN Ia distance estimates for the second version of the model.

Parameters

dcov	a NcSNIADistCov
cosmo	a NcHICosmo
snia_cov	a NcDataSNIACov
y	a NcmVector

nc_snia_dist_cov_mag ()

gdouble
nc_snia_dist_cov_mag (NcSNIADistCov *dcov,
                      NcHICosmo *cosmo,
                      NcDataSNIACov *snia_cov,
                      guint i,
                      gdouble width_th,
                      gdouble colour_th);

Computes the apparent magnitude from model, width and colour.

Parameters

dcov	a NcSNIADistCov
cosmo	a NcHICosmo
snia_cov	a NcDataSNIACov
i	the distance index
width_th	the true width
colour_th	the true colour

Returns

the apparent magnitude.

nc_snia_dist_cov_mag_to_width_colour ()

void
nc_snia_dist_cov_mag_to_width_colour (NcSNIADistCov *dcov,
                                      NcHICosmo *cosmo,
                                      NcDataSNIACov *snia_cov,
                                      NcmVector *obs,
                                      NcmMatrix *X,
                                      gboolean colmajor);

Computes effective observed vector obs , the first snia_cov->mu_len parameters are set to the width colour combination using the values of the distance modulus from the model cosmo and the SNIa model dcov , i.e., $-\alpha{}w_i+\beta{}c_i = m_{\mathrm{B},i} - \mu_{\mathrm{th},i}-\alpha-\mathcal{M}_i$. The next 2 * snia_cov->mu_len are the observed widths and then the observed colours.

The vector obs must be of size 3 * snia_cov->mu_len .

Parameters

dcov	a NcSNIADistCov
cosmo	a NcHICosmo
snia_cov	a NcDataSNIACov
obs	a NcmVector
X	a NcmMatrix
colmajor	whether to fill the matrices in a col-major format

nc_snia_dist_cov_extra_var ()

gdouble
nc_snia_dist_cov_extra_var (NcSNIADistCov *dcov,
                            NcDataSNIACov *snia_cov,
                            guint i);

Computes the total variance of the i -th distance, not related to the magnitude, width or colour errors.

Parameters

dcov	a NcSNIADistCov
snia_cov	a NcDataSNIACov
i	the distance index

Returns

the variance

nc_snia_dist_cov_alpha_beta ()

void
nc_snia_dist_cov_alpha_beta (NcSNIADistCov *dcov,
                             gdouble *alpha,
                             gdouble *beta);

Returns the values of $\alpha$ and $\beta$.

Parameters

dcov	a NcSNIADistCov
alpha	value of alpha.	[out caller-allocates]
beta	value of beta.	[out caller-allocates]

Types and Values

enum NcSNIADistCovSParams

SN Ia distance covariance model parameters.

Members

NC_SNIA_DIST_COV_ALPHA	Stretch parameter $\alpha$
NC_SNIA_DIST_COV_BETA	Colour parameter $\beta$
NC_SNIA_DIST_COV_M1	Absolute magnitude parameter $M_1$
NC_SNIA_DIST_COV_M2	Absolute magnitude parameter $M_2$
NC_SNIA_DIST_COV_LNSIGMA_PECZ	Logarithm of the dispersion due to peculiar velocities
NC_SNIA_DIST_COV_LNSIGMA_LENS	Logarithm of the dispersion due to lensing

enum NcSNIADistCovVParams

SN Ia distance covariance model parameters.

Members

NC_SNIA_DIST_COV_LNSIGMA_INT	Intrinsic dispersion parameter $\ln \sigma_{\rm int}$
NC_SNIA_DIST_COV_MU	Mean absolute magnitude parameter $\mu$

NC_SNIA_DIST_COV_DEFAULT_ALPHA

#define NC_SNIA_DIST_COV_DEFAULT_ALPHA (0.145)

NC_SNIA_DIST_COV_DEFAULT_BETA

#define NC_SNIA_DIST_COV_DEFAULT_BETA (3.16)

NC_SNIA_DIST_COV_DEFAULT_M1

#define NC_SNIA_DIST_COV_DEFAULT_M1 (-19.1686133146)

NC_SNIA_DIST_COV_DEFAULT_M2

#define NC_SNIA_DIST_COV_DEFAULT_M2 (-19.1856133146)

NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_PECZ

#define NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_PECZ (log (150.0e3 / ncm_c_c ()))

NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_LENS

#define NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_LENS (log (0.055))

NC_SNIA_DIST_COV_DEFAULT_PARAMS_ABSTOL

#define NC_SNIA_DIST_COV_DEFAULT_PARAMS_ABSTOL (0.0)

NC_SNIA_DIST_COV_LNSIGMA_INT_DEFAULT_LEN

#define NC_SNIA_DIST_COV_LNSIGMA_INT_DEFAULT_LEN (4)

NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_INT

#define NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_INT (log (0.0989))

NC_SNIA_DIST_COV_MU_DEFAULT_LEN

#define NC_SNIA_DIST_COV_MU_DEFAULT_LEN (0)

NC_SNIA_DIST_COV_DEFAULT_MU

#define NC_SNIA_DIST_COV_DEFAULT_MU (18.0)

Property Details

The `“M1”` property

  “M1”                       double

\mathcal{M}_1.

Owner: NcSNIADistCov

Flags: Read / Write

Default value: -19.1686

The `“M1-fit”` property

  “M1-fit”                   gboolean

\mathcal{M}_1:fit.

Owner: NcSNIADistCov

Flags: Read / Write

Default value: FALSE

The `“M2”` property

  “M2”                       double

\mathcal{M}_2.

Owner: NcSNIADistCov

Flags: Read / Write

Default value: -19.1856

The `“M2-fit”` property

  “M2-fit”                   gboolean

\mathcal{M}_2:fit.

Owner: NcSNIADistCov

Flags: Read / Write

Default value: FALSE

The `“alpha”` property

  “alpha”                    double

\alpha.

Owner: NcSNIADistCov

Flags: Read / Write

Default value: 0.145

The `“alpha-fit”` property

  “alpha-fit”                gboolean

\alpha:fit.

Owner: NcSNIADistCov

Flags: Read / Write

Default value: FALSE

The `“beta”` property

  “beta”                     double

\beta.

Owner: NcSNIADistCov

Flags: Read / Write

Default value: 3.16

The `“beta-fit”` property

  “beta-fit”                 gboolean

\beta:fit.

Owner: NcSNIADistCov

Flags: Read / Write

Default value: FALSE

The `“dist”` property

  “dist”                     NcDistance *

Distance object.

Owner: NcSNIADistCov

Flags: Read / Write / Construct

The `“empty-fac”` property

  “empty-fac”                gboolean

Empty universe approximation factor.

Owner: NcSNIADistCov

Flags: Read / Write / Construct

Default value: TRUE

The `“lnsigma-int”` property

  “lnsigma-int”              NcmVector *

\ln(\sigma_{\mathrm{int}}).

Owner: NcSNIADistCov

Flags: Read / Write

The `“lnsigma-int-fit”` property

  “lnsigma-int-fit”          GVariant *

\ln(\sigma_{\mathrm{int}}):fit.

Owner: NcSNIADistCov

Flags: Read / Write

Allowed values: GVariant<ab>

Default value: NULL

The `“lnsigma-int-length”` property

  “lnsigma-int-length”       guint

\ln(\sigma_{\mathrm{int}}):length.

Owner: NcSNIADistCov

Flags: Read / Write / Construct Only

Default value: 4

The `“lnsigma-lens”` property

  “lnsigma-lens”             double

\ln(\sigma_{\mathrm{lens}}).

Owner: NcSNIADistCov

Flags: Read / Write

Default value: -2.90042

The `“lnsigma-lens-fit”` property

  “lnsigma-lens-fit”         gboolean

\ln(\sigma_{\mathrm{lens}}):fit.

Owner: NcSNIADistCov

Flags: Read / Write

Default value: FALSE

The `“lnsigma-pecz”` property

  “lnsigma-pecz”             double

\ln(\sigma_{\mathrm{pecz}}).

Owner: NcSNIADistCov

Flags: Read / Write

Default value: -7.60021

The `“lnsigma-pecz-fit”` property

  “lnsigma-pecz-fit”         gboolean

\ln(\sigma_{\mathrm{pecz}}):fit.

Owner: NcSNIADistCov

Flags: Read / Write

Default value: FALSE

The `“mu”` property

  “mu”                       NcmVector *

\mu.

Owner: NcSNIADistCov

Flags: Read / Write

The `“mu-fit”` property

  “mu-fit”                   GVariant *

\mu:fit.

Owner: NcSNIADistCov

Flags: Read / Write

Allowed values: GVariant<ab>

Default value: NULL

The `“mu-length”` property

  “mu-length”                guint

\mu:length.

Owner: NcSNIADistCov

Flags: Read / Write / Construct Only

Default value: 0

NcSNIADistCov

Functions

Properties

Types and Values

Object Hierarchy

Description

Functions

nc_snia_dist_cov_new ()

Parameters

Returns

nc_snia_dist_cov_new_by_id ()

Parameters

Returns

nc_snia_dist_cov_ref ()

Parameters

Returns

nc_snia_dist_cov_free ()

Parameters

nc_snia_dist_cov_clear ()

Parameters

nc_snia_dist_cov_set_empty_fac ()

Parameters

nc_snia_dist_cov_set_dist ()

Parameters

nc_snia_dist_cov_prepare ()

Parameters

nc_snia_dist_cov_prepare_if_needed ()

Parameters

nc_snia_dist_cov_calc ()

Parameters

Returns

nc_snia_dist_cov_mean ()

Parameters

nc_snia_dist_cov_mean_V2 ()

Parameters

nc_snia_dist_cov_mag ()

Parameters

Returns

nc_snia_dist_cov_mag_to_width_colour ()

Parameters

nc_snia_dist_cov_extra_var ()

Parameters

Returns

nc_snia_dist_cov_alpha_beta ()

Parameters

Types and Values

enum NcSNIADistCovSParams

Members

enum NcSNIADistCovVParams

Members

NC_SNIA_DIST_COV_DEFAULT_ALPHA

NC_SNIA_DIST_COV_DEFAULT_BETA

NC_SNIA_DIST_COV_DEFAULT_M1

NC_SNIA_DIST_COV_DEFAULT_M2

NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_PECZ

NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_LENS

NC_SNIA_DIST_COV_DEFAULT_PARAMS_ABSTOL

NC_SNIA_DIST_COV_LNSIGMA_INT_DEFAULT_LEN

NC_SNIA_DIST_COV_DEFAULT_LNSIGMA_INT

NC_SNIA_DIST_COV_MU_DEFAULT_LEN

NC_SNIA_DIST_COV_DEFAULT_MU

Property Details

The “M1” property

The “M1-fit” property

The “M2” property

The “M2-fit” property

The “alpha” property

The “alpha-fit” property

The “beta” property

The “beta-fit” property

The “dist” property

The “empty-fac” property

The “lnsigma-int” property

The “lnsigma-int-fit” property

The “lnsigma-int-length” property

The “lnsigma-lens” property

The “lnsigma-lens-fit” property

The “lnsigma-pecz” property

The “lnsigma-pecz-fit” property

The “mu” property

The `“M1”` property

The `“M1-fit”` property

The `“M2”` property

The `“M2-fit”` property

The `“alpha”` property

The `“alpha-fit”` property

The `“beta”` property

The `“beta-fit”` property

The `“dist”` property

The `“empty-fac”` property

The `“lnsigma-int”` property

The `“lnsigma-int-fit”` property

The `“lnsigma-int-length”` property

The `“lnsigma-lens”` property

The `“lnsigma-lens-fit”` property

The `“lnsigma-pecz”` property

The `“lnsigma-pecz-fit”` property

The `“mu”` property

The `“mu-fit”` property

The `“mu-length”` property