# NGP: Validation Report (FULL)

NGP: Validation Report (FULL)

xxxxxxxxxx
Master catalogue used: __master_catalogue_ngp_20171207.fits__ <br>
Number of rows: 4,924,329
<br>
Surveys included:<br>
| Survey        | Telescope / Instrument  | Filters (detection band in bold)  | Location        |
|---------------|-------------------------|:---------------------------------:|-----------------|
| DECaLS        | DEC                     | z                                 | dmu0_DECaLS     |
| PanSTARRS-3SS | GPC1                    | grizy                             | dmu0_PanSTARRS-3SS |  
| Legacy SUrvey | BASS                    | grz                               | dmu0_LegacySurvey |
| UKIDSS-LAS    | UKIRT WFCAM             | YJHK                              | dmu0_UKIDSS-LAS |  
__NB: DECaLS g- and r-bands missing. Only z-band available__

Master catalogue used: master_catalogue_ngp_20171207.fits
Number of rows: 4,924,329
Surveys included:

Survey Telescope / Instrument Filters (detection band in bold) Location
DECaLS DEC z dmu0_DECaLS
PanSTARRS-3SS GPC1 grizy dmu0_PanSTARRS-3SS
Legacy SUrvey BASS grz dmu0_LegacySurvey
UKIDSS-LAS UKIRT WFCAM YJHK dmu0_UKIDSS-LAS

NB: DECaLS g- and r-bands missing. Only z-band available

 
## I. Caveats

I. Caveats

 
### I.a. Magnitude errors 

I.a. Magnitude errors

xxxxxxxxxx
 
At faint magnitudes (mag > 24), some surveys have very large errors (> 10) on the magnitude. These objects may be unreliable for science puposes.<br>
This in includes __PanSTARRS aperture and total__ magnitudes (at mag > 23), __DECaLS aperture and total__ z-band magnitudes (at m > 26), __Legacy Survey aperture and total__ magnitudes (at mag > 26) and __UKIDSS aperture and total__ magnitudes (at mag > 22).<br>
<img src="help_plots/NGP_magVSmagerr_BASS_g_mag_total.png" />

At faint magnitudes (mag > 24), some surveys have very large errors (> 10) on the magnitude. These objects may be unreliable for science puposes.
This in includes PanSTARRS aperture and total magnitudes (at mag > 23), DECaLS aperture and total z-band magnitudes (at m > 26), Legacy Survey aperture and total magnitudes (at mag > 26) and UKIDSS aperture and total magnitudes (at mag > 22).

 
### I.b. Aperture corrections

I.b. Aperture corrections

xxxxxxxxxx
In most of the case when comparing the aperture magnitudes between surveys, we observed a two peak distribution in the difference between the magnitudes ($\Delta_{mag} = mag_{survey1} - mag_{survey2}$). We have one peak around 0 for point-source objects, with a small spread. And a second peak at higher $\Delta_{mag}$ with a larger spread for extended objects; implying a different aperture correction between surveys for these objects.<br>
That means that galaxies will not have the same aperture magnitude in different surveys. <br>
In the g- and r-bands, for bright sources, there is a two peaks distribution when comparing Pan-STARRS and Legacy Survey aperture magnitues. Buit not in th z-band when comparing Pan-STARRS, DECaLS magnitudes and Legacy Survey, $\Delta_{mag}$ is similar for point-sources and extended objects.<br>
Also, in the y-band, we get again a two peak distribution on $\Delta_{mag}$ whgen comparing UKIDSS and Pan-STARRS magnitudes.
<img src="help_plots/NGP_apcorrIssues_BASS_g_aperture_-_GPC1_g_aperture.png" />

In most of the case when comparing the aperture magnitudes between surveys, we observed a two peak distribution in the difference between the magnitudes (Δmag=magsurvey1magsurvey2). We have one peak around 0 for point-source objects, with a small spread. And a second peak at higher Δmag with a larger spread for extended objects; implying a different aperture correction between surveys for these objects.
That means that galaxies will not have the same aperture magnitude in different surveys.

In the g- and r-bands, for bright sources, there is a two peaks distribution when comparing Pan-STARRS and Legacy Survey aperture magnitues. Buit not in th z-band when comparing Pan-STARRS, DECaLS magnitudes and Legacy Survey, Δmag is similar for point-sources and extended objects.
Also, in the y-band, we get again a two peak distribution on Δmag whgen comparing UKIDSS and Pan-STARRS magnitudes.

 
## II. Flags

II. Flags

 
### II.a. Pan-STARRS aperture and total magnitudes

II.a. Pan-STARRS aperture and total magnitudes

xxxxxxxxxx
Few Pan-STARRS sources have exactly the same error (of <font color='blue'>0.0010860000038519502</font>) on the __aperture and total__ magnitudes in all the grizy bands. The corresponding aperture magnitude should not be trusted for these objects.<br>
<img src="help_plots/NGP_gpc1Issues_GPC1_g_mag_aperture.png" />

Few Pan-STARRS sources have exactly the same error (of 0.0010860000038519502) on the aperture and total magnitudes in all the grizy bands. The corresponding aperture magnitude should not be trusted for these objects.

 
### II.b.DECaLS total magnitudes

II.b.DECaLS total magnitudes

xxxxxxxxxx
Few DECaLS sources have excatly the same total magnitude (of <font color='blue'>14.999935</font>) in the g- and r-bands. These magnitudes should not be trusted. <br>
Also, in the grz bands, few sources have very bright or negative total magnitude but no aperture magnitude (<font color='green'>$mag_{tot} < 7$</font>).
<img src="help_plots/NGP_decamIssues_DECam_z_mag_total.png" />

Few DECaLS sources have excatly the same total magnitude (of 14.999935) in the g- and r-bands. These magnitudes should not be trusted.
Also, in the grz bands, few sources have very bright or negative total magnitude but no aperture magnitude (magtot<7).

 
### II.c. Outliers

II.c. Outliers

xxxxxxxxxx
By comparing magnitude in the same band between different surveys, we can see that some magnitudes are significanlty different could not be trusted. <br>
The outliers are identified to have a large weighted magnitude difference (equivalent of the $chi^2$).
$$chi^2 = \frac{(mag_{1}-mag_{2})^2}{magerr_{1}^2 + magerr_{2}^2}$$ 
<br>
We used the 75th and 25th percentile to flagged the objects 5$\sigma$ away on the large values tail of the $chi^2$ ditribution. (__NB:__ bright sources tend to have their errors underestimated with values as low as $10^{-6}$, which is unrealistic. So to avoid high $chi^2$ due to unrealistic small errors, we clip the error to get a minimum value of 0.1% (i.e. all errors smaller then $10^{-3}$ are set to $10^{-3}$).)
<br><br>
$$outliers == [chi^2 >  (75th \;percentile + 3.2\times (75th \;percentile - 25th \;percentile))]$$
<img src="help_plots/NGP_outliers_BASS_g_aperture_-_GPC1_g_aperture.png" />

By comparing magnitude in the same band between different surveys, we can see that some magnitudes are significanlty different could not be trusted.
The outliers are identified to have a large weighted magnitude difference (equivalent of the chi2).

chi2=(mag1mag2)2magerr12+magerr22

We used the 75th and 25th percentile to flagged the objects 5σ away on the large values tail of the chi2 ditribution. (NB: bright sources tend to have their errors underestimated with values as low as 106, which is unrealistic. So to avoid high chi2 due to unrealistic small errors, we clip the error to get a minimum value of 0.1% (i.e. all errors smaller then 103 are set to 103).)

outliers==[chi2>(75thpercentile+3.2×(75thpercentile25thpercentile))]

In [ ]: