These are support routines used for doing statistics on data arrays.
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| float | casu_med (float *data, unsigned char *bpm, long npts) |
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| double | casu_dmed (double *data, unsigned char *bpm, long npts) |
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| void | casu_qmedsig (float *data, unsigned char *bpm, long npts, float thresh, int niter, float lowv, float highv, float *median, float *sigma) |
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| void | casu_medmad (float *data, unsigned char *bpm, long np, float *med, float *mad) |
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| void | casu_medmadcut (float *data, unsigned char *bpm, long np, float lcut, float hcut, float *med, float *mad) |
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| float | casu_mean (float *data, unsigned char *bpm, long npts) |
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| double | casu_dmean (double *data, unsigned char *bpm, long npts) |
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| int | casu_meansig (float *data, unsigned char *bpm, long npts, float *mean, float *sig) |
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| void | casu_medsig (float *data, unsigned char *bpm, long np, float *med, float *sig) |
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| int | casu_sumbpm (unsigned char *bpm, long npts, int *sumb) |
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These are support routines used for doing statistics on data arrays.
- Author
- Jim Lewis, CASU, CASU
◆ casu_dmean()
| double casu_dmean |
( |
double * |
data, |
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unsigned char * |
bpm, |
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long |
npts |
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) |
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- Name:
- casu_dmean
- Purpose:
- Find the mean of a double array with a possible bad pixel mask
- Description:
- If a bad pixel mask is not included a straight forward mean is performed on the input data array. If a bad pixel mask is included then the data good data are copied into a temporary array and then the mean is performed. This is a routine for double precision data.
- Language:
- C
- Parameters
-
| data | Input data |
| bpm | Input bad pixel mask or NULL |
| npts | Number of pixels in the data |
- Return values
-
| mean | When all goes well
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| CX_MAXDOUBLE | if all are flagged as bad |
- Author
- Jim Lewis, CASU
Definition at line 534 of file casu_stats.c.
◆ casu_dmed()
| double casu_dmed |
( |
double * |
data, |
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unsigned char * |
bpm, |
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long |
npts |
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) |
| |
- Name:
- casu_dmed
- Purpose:
- Find the median of a double array with a possible bad pixel mask
- Description:
- If a bad pixel mask is not included a straight forward median is performed on the input data array. If a bad pixel mask is included then the data good data are copied into a temporary array and then the median is performed. This is a routine for double precision data.
- Language:
- C
- Parameters
-
| data | Input data |
| bpm | Input bad pixel mask or NULL |
| npts | Number of pixels in the data |
- Return values
-
| median | When all goes well
|
| CX_MAXDOUBLE | if all are flagged as bad |
- Author
- Jim Lewis, CASU
Definition at line 170 of file casu_stats.c.
Referenced by casu_platesol(), and casu_platexy().
◆ casu_mean()
| float casu_mean |
( |
float * |
data, |
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unsigned char * |
bpm, |
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long |
npts |
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) |
| |
- Name:
- casu_mean
- Purpose:
- Find the mean of a float array with a possible bad pixel mask
- Description:
- If a bad pixel mask is not included a straight forward mean is performed on the input data array. If a bad pixel mask is included then the data good data are copied into a temporary array and then the mean is performed. This is a routine for floating point data.
- Language:
- C
- Parameters
-
| data | Input data |
| bpm | Input bad pixel mask or NULL |
| npts | Number of pixels in the data |
- Return values
-
| mean | When all goes well
|
| CX_MAXFLOAT | if all are flagged as bad |
- Author
- Jim Lewis, CASU
Definition at line 479 of file casu_stats.c.
Referenced by casu_mkconf().
◆ casu_meansig()
| int casu_meansig |
( |
float * |
data, |
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unsigned char * |
bpm, |
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long |
npts, |
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float * |
mean, |
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float * |
sig |
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) |
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- Name:
- casu_meansig
- Purpose:
- Find the mean and sigma of a floating point array with a possible bad pixel mask
- Description:
- A straight-forward mean and standard deviation calculation is done. If a bad pixel mask is included, then the flagged pixels are removed from the calculations.
- Language:
- C
- Parameters
-
| data | Input data |
| bpm | Input bad pixel mask or NULL |
| npts | Number of pixels in the data |
| mean | The output mean |
| sig | The output dispersion |
- Return values
-
| CASU_OK | If all went well |
| CASU_WARN | If the variance is negative. Sigma is passed back as CX_MAXFLOAT. Also if all data points are flagged. In that case both the mean and sigma are set to CX_MAXFLOAT. |
- Author
- Jim Lewis, CASU
Definition at line 595 of file casu_stats.c.
Referenced by vircam_difference_image().
◆ casu_med()
| float casu_med |
( |
float * |
data, |
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unsigned char * |
bpm, |
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long |
npts |
|
) |
| |
- Name:
- casu_med
- Purpose:
- Find the median of a float array with a possible bad pixel mask
- Description:
- If a bad pixel mask is not included a straight forward median is performed on the input data array. If a bad pixel mask is included then the data good data are copied into a temporary array and then the median is performed. This is a routine for floating point data.
- Language:
- C
- Parameters
-
| data | Input data |
| bpm | Input bad pixel mask or NULL |
| npts | Number of pixels in the data |
- Return values
-
| median | When all goes well
|
| CX_MAXFLOAT | if all are flagged as bad |
- Author
- Jim Lewis, CASU
Definition at line 89 of file casu_stats.c.
Referenced by casu_imcombine(), casu_matchxy(), casu_medmad(), casu_medmadcut(), casu_medsig(), vircam_grout(), and vircam_jmp_interleave().
◆ casu_medmad()
| void casu_medmad |
( |
float * |
data, |
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unsigned char * |
bpm, |
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long |
np, |
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float * |
med, |
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|
float * |
mad |
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) |
| |
- Name:
- casu_medmad
- Purpose:
- Find the median and median absolute deviation in a data array
- Description:
- The median of an array is found, taking into account any flagged values. An array of absolute deviations is created and the median is found of that array.
- Language:
- C
- Parameters
-
| data | Input data |
| bpm | Input bad pixel mask or NULL |
| np | Number of pixels in the data |
| med | The output median |
| mad | The output median absolute deviation |
- Returns
- Nothing
- Author
- Jim Lewis, CASU
Definition at line 347 of file casu_stats.c.
References casu_med().
Referenced by casu_defringe(), casu_genbpm(), casu_matchstds(), vircam_destripe(), vircam_difference_image(), and vircam_genbpm().
◆ casu_medmadcut()
| void casu_medmadcut |
( |
float * |
data, |
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unsigned char * |
bpm, |
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long |
np, |
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float |
lcut, |
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float |
hcut, |
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float * |
med, |
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float * |
mad |
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) |
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- Name:
- casu_medmadcut
- Purpose:
- Find the median and median absolute deviation in a data array with a high and/or low cut
- Description:
- The median of an array is found, taking into account any flagged values and any values outside a low and high data value cut. An array of absolute deviations is created and the median is found of that array.
- Language:
- C
- Parameters
-
| data | Input data |
| bpm | Input bad pixel mask or NULL |
| np | Number of pixels in the data |
| lcut | Lower value for data window |
| hcut | Upper value for data window |
| med | The output median |
| mad | The output median absolute deviation |
- Returns
- Nothing
- Author
- Jim Lewis, CASU
Definition at line 406 of file casu_stats.c.
References casu_med().
Referenced by vircam_destripe().
◆ casu_medsig()
| void casu_medsig |
( |
float * |
data, |
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|
unsigned char * |
bpm, |
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|
long |
np, |
|
|
float * |
med, |
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|
float * |
sig |
|
) |
| |
- Name:
- casu_medsig
- Purpose:
- Find the median and sigma about that median.
- Description:
- The median of an array is found, taking into account any flagged values. The sigma is then worked out about the median.
- Language:
- C
- Parameters
-
| data | Input data |
| bpm | Input bad pixel mask or NULL |
| np | Number of pixels in the data |
| med | The output median |
| sig | The output sigma |
- Returns
- Nothing
- Author
- Jim Lewis, CASU
Definition at line 672 of file casu_stats.c.
References casu_med().
Referenced by casu_genbpm(), and vircam_genbpm().
◆ casu_qmedsig()
| void casu_qmedsig |
( |
float * |
data, |
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unsigned char * |
bpm, |
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long |
npts, |
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float |
thresh, |
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int |
niter, |
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float |
lowv, |
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float |
highv, |
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float * |
median, |
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float * |
sigma |
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) |
| |
- Name:
- casu_qmedsig
- Purpose:
- Find a "quick" median and sigma of a floating point array with a bad pixel mask, with lower and upper cuts and with clipping.
- Description:
- Data outside the data window and data flagged in the bad pixel mask are removed from further consideration. The remaining data are histogrammed in 1 adu bins. A number of iterations are used to find the median and sigma by finding the meidan in the histogram and its quartiles, then using these in conjunction with user defined clipping thresholds to define new estimates.
- Language:
- C
- Parameters
-
| data | Input data |
| bpm | Input bad pixel mask |
| npts | Number of pixels in the data |
| thresh | Clipping threshold |
| niter | Number of clipping iterations |
| lowv | Lower value for data window |
| highv | Upper value for data window |
| median | The output median |
| sigma | The output dispersion |
- Returns
- Nothing
- Author
- Jim Lewis, CASU
Definition at line 258 of file casu_stats.c.
Referenced by casu_pawsky_minus(), vircam_destripe(), vircam_jmp_skycor(), and vircam_mosaic().
◆ casu_sumbpm()
| int casu_sumbpm |
( |
unsigned char * |
bpm, |
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long |
npts, |
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int * |
sumb |
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) |
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- Name:
- casu_sumbpm
- Purpose:
- Get the sum from a bad pixel mask
- Description:
- Sum all the values in a bad pixel mask. This is useful for telling how many pixels are bad.
- Language:
- C
- Parameters
-
| bpm | Input bad pixel mask |
| npts | Number of pixels in the bpm |
| sumb | The output sum |
- Return values
-
- Author
- Jim Lewis, CASU
Definition at line 738 of file casu_stats.c.