most citedIdentification of single spectral lines through supervised machine learning in a large HST survey (WISP): a pilot study for Euclid and WFIRST

10 citations · 20 across the 2 of their papers we have counts for

collaborators

1 paper

astro-ph.GA2020★ 10 cited

Identification of single spectral lines through supervised machine learning in a large HST survey (WISP): a pilot study for Euclid and WFIRST

I. Baronchelli, C. M. Scarlata, G. Rodighiero +13

Future surveys focusing on understanding the nature of dark energy (e.g., Euclid and WFIRST) will cover large fractions of the extragalactic sky in near-IR slitless spectroscopy. T…