Each time we receive an alert, we get summary stats with the diaObject relating to the current band only. All the other bands are NaN or zero (see r-band example below). Is there a reason for this? I assume this is a speed issue, but if not, are there plans to preserve the summary stats for each band as we receive the diaObject rather than only providing only the observed filter information? (This object has multiple observations in multiple filters.)
It’s true that the brokers could do their own calculations based on the received lightcurve, or even only write data their database tables when the populated columns are not NaN/zero, but I’m wondering if this can be done at source. In our broker (Lasair) the object table data is currently overwritten on receipt of each alert. Users have requested the ability to write Lasair alert filters based on multiple band summary stats.
"alert": {
"diaObject": {
"diaObjectId": 314003014107006318,
"validityStartMjdTai": 61172.00409415646,
"ra": 149.92866618500474,
"raErr": 3.2370393455494195e-05,
"decErr": 5.428689837572165e-05,
"ra_dec_Cov": 2.5497976993693605e-11,
"u_psfFluxMean": NaN,
"u_psfFluxMeanErr": NaN,
"u_psfFluxSigma": NaN,
"u_psfFluxNdata": 0,
"u_fpFluxMean": NaN,
"u_fpFluxMeanErr": NaN,
"g_psfFluxMean": NaN,
"g_psfFluxMeanErr": NaN,
"g_psfFluxSigma": NaN,
"g_psfFluxNdata": 0,
"g_fpFluxMean": NaN,
"g_fpFluxMeanErr": NaN,
"r_psfFluxMean": 12221.5986328125,
"r_psfFluxMeanErr": 48.470069885253906,
"r_psfFluxSigma": 166975.859375,
"r_psfFluxNdata": 25,
"r_fpFluxMean": NaN,
"r_fpFluxMeanErr": NaN,
"i_psfFluxMean": NaN,
"i_psfFluxMeanErr": NaN,
"i_psfFluxSigma": NaN,
"i_psfFluxNdata": 0,
"i_fpFluxMean": NaN,
"i_fpFluxMeanErr": NaN,
"z_psfFluxMean": NaN,
"z_psfFluxMeanErr": NaN,
"z_psfFluxSigma": NaN,
"z_psfFluxNdata": 0,
"z_fpFluxMean": NaN,
"z_fpFluxMeanErr": NaN,
"y_psfFluxMean": NaN,
"y_psfFluxMeanErr": NaN,
"y_psfFluxSigma": NaN,
"y_psfFluxNdata": 0,
"y_fpFluxMean": NaN,
"y_fpFluxMeanErr": NaN,
"u_scienceFluxMean": NaN,
"u_scienceFluxMeanErr": NaN,
"g_scienceFluxMean": NaN,
"g_scienceFluxMeanErr": NaN,
"r_scienceFluxMean": 40552.015625,
"r_scienceFluxMeanErr": 46.600669860839844,
"i_scienceFluxMean": NaN,
"i_scienceFluxMeanErr": NaN,
"z_scienceFluxMean": NaN,
"z_scienceFluxMeanErr": NaN,
"y_scienceFluxMean": NaN,
"y_scienceFluxMeanErr": NaN,
"u_psfFluxMin": NaN,
"u_psfFluxMax": NaN,
"u_psfFluxMaxSlope": NaN,
"u_psfFluxErrMean": NaN,
"g_psfFluxMin": NaN,
"g_psfFluxMax": NaN,
"g_psfFluxMaxSlope": NaN,
"g_psfFluxErrMean": NaN,
.
.
. etc