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20202026
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 · 10 across the 6 of their papers we have counts for

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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…