Hi Alex, You are correct, at the moment there is no capability within Nektar++ to compute this quantity directly. Writing out the solution along a line at every time step will allow you to calculate the autocorrelation you are after as a postprocessing step. All the best, Guglielmo ________________________________ From: nektar-users-bounces@imperial.ac.uk <nektar-users-bounces@imperial.ac.uk> on behalf of Alexander Schukmann <alexander.schukmann@protonmail.com> Sent: 21 May 2024 13:58 To: nektar-users <nektar-users@imperial.ac.uk> Subject: [Nektar-users] Spatial two-point correlation This email from alexander.schukmann@protonmail.com originates from outside Imperial. Do not click on links and attachments unless you recognise the sender. If you trust the sender, add them to your safe senders list<https://spam.ic.ac.uk/SpamConsole/Senders.aspx> to disable email stamping for this address. Hello everybody, I was wondering, if there is a way to calculate spatial two-point correlation functions such as R_uu = < u(x,t) * u(x + r,t) > within Nektar++. Here, "u" is a scalar function, such as streamwise velocity, "< >" denotes a temporal average and "r" is a spatial separation distance. My first idea was to use the HistoryPoints Filter, hence tracking the scalar along a line for each time step and calculating R_uu during postprocessing. But maybe there exists a more efficient way using a combination of Nektar++ Filters/Functions? I appreciate any help on the topic. All the best Alex Sicher versendet mit Proton Mail<https://proton.me/>.