Taming the LSST Data Flood: Meet Alertissimo

The Vera C. Rubin Observatory’s LSST will generate an unprecedented deluge of astronomical alerts, and a new tool called Alertissimo is designed to help scientists manage and analyze this real-time stream.








![The study demonstrates a predicted hospitalization curve [latex] H_{\text{SIR}}(t) [/latex], revealing a peak magnitude [latex] h_{\text{SIR}} [/latex] occurring on day [latex] t_{\text{SIR}} [/latex], thereby establishing a quantifiable relationship between epidemiological parameters and peak healthcare demand.](https://arxiv.org/html/2601.09821v1/figs/ModelSIR.png)