Q 
Name  Schema Table  Database  Description  Type  Length  Unit  Default Value  Unified Content Descriptor 
q12 
allwise_sc2 
WISE 
Correlation significance between W1 and W2. The value is log10(Q2(rho12)), where Q2 is the twotailed fraction of all cases expected to show at least this much apparent positive or negative correlation when in fact there is no correlation. The value is clipped at 9. 
int 
4 



When the number of measurements is large, the significance of correlation also tends to be large even though the correlations themselves may have a small magnitude. This is a typical manifestation of statistical significance increasing as the sample size increases; eventually the significant effect can be due to small correlated errors in background estimation or even roundoff errors. These effects tend to be small but become significant when there are enough observations of them. High flux correlation significance should be taken seriously only when the magnitude of the correlation is also fairly high. 
q23 
allwise_sc2 
WISE 
Correlation significance between W2 and W3. The value is log10(Q2(rho23)), where Q2 is the twotailed fraction of all cases expected to show at least this much apparent positive or negative correlation when in fact there is no correlation. The value is clipped at 9. 
int 
4 



When the number of measurements is large, the significance of correlation also tends to be large even though the correlations themselves may have a small magnitude. This is a typical manifestation of statistical significance increasing as the sample size increases; eventually the significant effect can be due to small correlated errors in background estimation or even roundoff errors. These effects tend to be small but become significant when there are enough observations of them. High flux correlation significance should be taken seriously only when the magnitude of the correlation is also fairly high. 
q34 
allwise_sc2 
WISE 
Correlation significance between W3 and W4. The value is log10(Q2(rho34)), where Q2 is the twotailed fraction of all cases expected to show at least this much apparent positive or negative correlation when in fact there is no correlation. The value is clipped at 9. 
int 
4 



When the number of measurements is large, the significance of correlation also tends to be large even though the correlations themselves may have a small magnitude. This is a typical manifestation of statistical significance increasing as the sample size increases; eventually the significant effect can be due to small correlated errors in background estimation or even roundoff errors. These effects tend to be small but become significant when there are enough observations of them. High flux correlation significance should be taken seriously only when the magnitude of the correlation is also fairly high. 
q_de_m_deg 
tycho2 
GAIADR1 
Goodness of fit for mean Dec 
real 
4 


meat.code.qual 
q_pm_de 
tycho2 
GAIADR1 
Goodness of fit for pm_de 
real 
4 


meat.code.qual 
q_pm_ra 
tycho2 
GAIADR1 
Goodness of fit for pm_ra 
real 
4 


meat.code.qual 
q_ra_m_deg 
tycho2 
GAIADR1 
Goodness of fit for mean RA 
real 
4 


meat.code.qual 
qual 
twomass_scn 
2MASS 
Quality score for scan. 
smallint 
2 


CODE_MISC 
qual 
twomass_sixx2_scn 
2MASS 
quality score for scan (010) 
smallint 
2 



QUALITY 
mgcBrightSpec 
MGC 
Quality class 
tinyint 
1 


