Expanding the Ice Inventory of NGC 1333 IRAS 2A with INDRA using JWST Observations: Tracing Organic Refractories and Beyond

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Rayalacheruvu, Prathap, Majumdar, Liton, Rocha, W. R. M., Ressler, Michael E., Giri, Pabitra Ranjan, Maitrey, S., Willacy, K., Lis, D. C., Chen, Y., Klaassen, P. D.
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866916951583883264
author Rayalacheruvu, Prathap
Majumdar, Liton
Rocha, W. R. M.
Ressler, Michael E.
Giri, Pabitra Ranjan
Maitrey, S.
Willacy, K.
Lis, D. C.
Chen, Y.
Klaassen, P. D.
author_facet Rayalacheruvu, Prathap
Majumdar, Liton
Rocha, W. R. M.
Ressler, Michael E.
Giri, Pabitra Ranjan
Maitrey, S.
Willacy, K.
Lis, D. C.
Chen, Y.
Klaassen, P. D.
contents In the era of JWST, with its unprecedented sensitivity and spectral resolution, infrared spectral surveys have revealed a rich inventory of ices, including complex organic molecules (COMs), in young stellar objects (YSOs). However, robust methods to decompose and quantify these absorption features particularly across broad spectral ranges, are still under investigation. We present INDRA (Ice-fitting with NNLS-based Decomposition and Retrieval Algorithm), a fully Python-based tool that performs continuum and silicate removal, global ice fitting using Weighted Non-Negative Least Squares (NNLS), and estimates column densities and statistical significance. We apply INDRA to NGC 1333 IRAS 2A, a target from the JWST Observations of Young protoStars (JOYS+) program previously studied using local fitting. We derive optical depths via polynomial continuum subtraction and remove silicate absorption using a synthetic model, isolating ice features for global MIRI fitting. Our results are consistent with previous local fits, confirming simple species and COMs, and expand the inventory by identifying additional absorption features from CO2 and NH4+. We also propose the presence of organic refractories contributing up to 9.6% in the spectral region of 5-8 microns among the various ice components, whose inclusion significantly improves the global spectral fitting. These broad absorption features, extending across 5.5-11 microns, are likely produced by large, complex molecules containing carbonyl (C=O), hydroxyl (O-H), amine (N-H), and C-H bending modes. Our expanded inventory, now incorporating these organic residues, offers new insights into the chemical evolution of ices in star-forming regions and highlights the importance of global spectral fitting in constraining ice compositions.
format Preprint
id arxiv_https___arxiv_org_abs_2506_15358
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Expanding the Ice Inventory of NGC 1333 IRAS 2A with INDRA using JWST Observations: Tracing Organic Refractories and Beyond
Rayalacheruvu, Prathap
Majumdar, Liton
Rocha, W. R. M.
Ressler, Michael E.
Giri, Pabitra Ranjan
Maitrey, S.
Willacy, K.
Lis, D. C.
Chen, Y.
Klaassen, P. D.
Astrophysics of Galaxies
In the era of JWST, with its unprecedented sensitivity and spectral resolution, infrared spectral surveys have revealed a rich inventory of ices, including complex organic molecules (COMs), in young stellar objects (YSOs). However, robust methods to decompose and quantify these absorption features particularly across broad spectral ranges, are still under investigation. We present INDRA (Ice-fitting with NNLS-based Decomposition and Retrieval Algorithm), a fully Python-based tool that performs continuum and silicate removal, global ice fitting using Weighted Non-Negative Least Squares (NNLS), and estimates column densities and statistical significance. We apply INDRA to NGC 1333 IRAS 2A, a target from the JWST Observations of Young protoStars (JOYS+) program previously studied using local fitting. We derive optical depths via polynomial continuum subtraction and remove silicate absorption using a synthetic model, isolating ice features for global MIRI fitting. Our results are consistent with previous local fits, confirming simple species and COMs, and expand the inventory by identifying additional absorption features from CO2 and NH4+. We also propose the presence of organic refractories contributing up to 9.6% in the spectral region of 5-8 microns among the various ice components, whose inclusion significantly improves the global spectral fitting. These broad absorption features, extending across 5.5-11 microns, are likely produced by large, complex molecules containing carbonyl (C=O), hydroxyl (O-H), amine (N-H), and C-H bending modes. Our expanded inventory, now incorporating these organic residues, offers new insights into the chemical evolution of ices in star-forming regions and highlights the importance of global spectral fitting in constraining ice compositions.
title Expanding the Ice Inventory of NGC 1333 IRAS 2A with INDRA using JWST Observations: Tracing Organic Refractories and Beyond
topic Astrophysics of Galaxies
url https://arxiv.org/abs/2506.15358