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Aims: We explore the wealth of high quality photometric data provided by datarelease 2 of the Gaia mission for long period variables (LPVs) in the LargeMagellanic Cloud. Our goal is to identify stars of various types and massesalong the Asymptotic Giant Branch.  Methods: For this endeavour, we developed a new multi-band approach combiningWesenheit functions W_{RP,BP-RP} and W_{K_s,J-K_s} in the Gaia BP, RP and 2MASSJ, K_s spectral ranges, respectively, and use a new diagram(W_{RP,BP-RP}-W_{K_s,J-K_s}) versus K_s to distinguish between different kindsof stars in our sample of LPVs. We used stellar population synthesis models tovalidate our approach.  Results:We demonstrate the ability of the new diagram to discriminate betweenO-rich and C-rich objects, and to identify low-mass, intermediate-mass andmassive O-rich red giants, as well as extreme C-rich stars. Stellar evolutionand population synthesis models guide the interpretation of the results,highlighting the diagnostic power of the new tool to discriminate betweenstellar initial masses, chemical properties and evolutionary stages.

A new method to identify subclasses among AGB stars using Gaia and 2MASS photometry