Samreay/Marz

Cross correlation peaks inverted for quasars

Opened this issue · 5 comments

Dear Sam,
we are using Marz to redshift quasars and other objects in AAOmega data form the AAT for an eROSITA project. We are finding that the cross-correlation function for quasars often appears to be inverted, so that the peaks corresponding to good redshift matches are actually negative dips. This means that they are not found as the best match. A screen shot of an example is shown below.

Screen Shot 2023-01-22 at 8 23 23 pm

The data used to make this can be found here: http://www.physics.usyd.edu.au/~scroom/outgoing/SEP4_erosita_run009_v19_20.fits

It has been reduced using the ozDES pipeline.

If you have any ideas why the cross-correlation should look like this, and how to fix it, that would be very helpful.
Thanks,
Scott

Hi Scott, this is super weird, I've never seen it actually get strong negative xcorr before like this. Before I try and jump into the code or the file (it's been years since I've delved into this project), I'll reach out to Chris Lidman . He's done a truly unfathomable amount of quasar matching with Marz on OzDES data, and if anyone has seen this before and knows the quick fix, it's him. I'll ping him and direct him here to see if he has any thoughts :)

thanks for the prompt response. Will be interested to see if Chris has found this sort of thing.

Looks like Chris is on holidays until the 5th, I've also cc'd Tamara Davis who has done a lot of quasar matching as well. Will let you know what they say :)

Hi Scott, sorry for the delayed response, I've just returned from my own holidays and saw Chris's response in my inbox. Unfortunately, neither he nor Tamara have ever seen something like this with their quasars. In terms of things we could try to debug this, I'd recommend generating a FITS file where the uncertainty is an array of all ones, as most of the weirdness I've seen in other results comes from unusual features introduced when dividing flux/uncertainty, and setting uncertainty all to one helps us figure out if that might also be the case here.