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Preliminary results from prebiotic molecules with ALMA in the era of artificial intelligence

Published online by Cambridge University Press:  04 June 2020

I. Villicana-Pedraza
Affiliation:
DACC, New Mexico State University, Las Cruces, NM88003, USA email: [email protected]
R. Walterbos
Affiliation:
Dept. of Astronomy, New Mexico State University, Las Cruces, NM, USA
F. Carreto-Parra
Affiliation:
Dept. of Physics, New Mexico State University, Las Cruces, NM, USA
J. Ott.
Affiliation:
National Radio Astronomy Observatory, Socorro, NM1, USA
E. Momjian
Affiliation:
National Radio Astronomy Observatory, Socorro, NM1, USA
A. Thelen
Affiliation:
NASA Goddard Space Flight Center, USA
A. Ginsburg
Affiliation:
National Radio Astronomy Observatory, Socorro, NM1, USA
L. Zapata
Affiliation:
Instituto de Radioastronomia,Universidad Nacional Autonoma de Mexico, Mexico
M. Gonzalez
Affiliation:
Universidad Autonoma de Ciudad Juarez, Juarez Chihuahua, Mexico
J. Floyd
Affiliation:
DACC, New Mexico State University, Las Cruces, NM88003, USA email: [email protected]
J. Saucedo
Affiliation:
Universidad de Sonora, HermosilloSonora, Mexico
L. Binette
Affiliation:
Instituto de Astronomia, Universidad Nacional Autonoma de Mexico, Mexico
S. Prugh
Affiliation:
DACC, New Mexico State University, Las Cruces, NM88003, USA email: [email protected]
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Abstract

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Study of the composition from diverse sources of the Universe helps to us to understand their evolution. Molecular spectroscopy provides detailed information of the observed objects. We present a small study of the starburst NGC 253 with ALMA at 1mm. We detect the prebiotic molecules NH2CHO, and CNCHO. We obtain the integrated intensity maps and abundances of HNCO, CH3OH, H3O+ and CH3C2H. We propose the use of Artificial Intelligence for big data to find prebiotic molecules in galaxies.

Type
Contributed Papers
Copyright
© International Astronomical Union 2020

References

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