SpecPT (Spectroscopy Pre-trained Transformer) Model for Extragalactic Spectroscopy. I. Architecture and Automated Redshift Measurement

SpecPT (Spectroscopy Pre-trained Transformer) Model for Extragalactic Spectroscopy. I. Architecture and Automated Redshift Measurement

We introduce the Spectroscopy Pre-trained Transformer (SpecPT), a transformer-based model designed to analyze spectroscopic data, with applications in spectrum reconstruction and redshift measurement. Using the Early Data Release (EDR) of the Dark Energy Spectroscopic Instrument (DESI) survey, we ev...

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Bibliographic Details
Main Authors: Rohan Pattnaik, Jeyhan S. Kartaltepe, Clive Binu
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal
Subjects:
Convolutional neural networks
Neural networks
Extragalactic astronomy
Galaxy spectroscopy
Redshift surveys
Online Access:https://doi.org/10.3847/1538-4357/ade053
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https://doi.org/10.3847/1538-4357/ade053

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