Published March 2025 | Published
Journal Article Open

MOMOS: The Multi-Object MKID Optical Spectrometer Simulator and Data Reduction Package

  • 1. ROR icon University of California, Santa Barbara
  • 2. ROR icon California Institute of Technology
An error occurred while generating the citation.

Abstract

The Multi-Object MKID Optical Spectrometer (MOMOS) is a proposed visible wavelength spectrograph that uses microwave kinetic inductance detectors (MKIDs) targeting an initial resolving power of 3500 for up to five fiber inputs. With their modest wavelength-resolving abilities, MKIDs take the place of both the cross disperser and detector in the spectrograph. MKIDs lack read noise and dark current enabling noiseless post-observation rebinning and characterization of faint objects, as well as time-resolved photon-counting spectroscopy. This work presents a MOMOS simulator customizable for different MOMOS configurations. Treating simulator products as inputs, an algorithm was developed and implemented in the MOMOS data reduction package to calibrate and extract spectra.

Copyright and License

© 2025. The Author(s). Published by the American Astronomical Society.

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Acknowledgement

This work is made possible by the National Science Foundation, grant No. 2108651, which supported C. Kim and Dr. Bailey. Kim is also supported by a NASA Space Technology Graduate Research Opportunity, grant No. 80NSSC23K1220. Dr. López is supported by the NSF Postdoctoral Fellowship, grant No. 2304168.

Software References

numpy (S. van der Walt et al. 2011), scipy (P. Virtanen et al. 2020), astropy (T. Robitaille et al. 2013), synphot (STScI Development Team 2018), lmfit (M. Newville et al. 2016), PyReduce (N. Piskunov et al. 2021).

Files

Kim_2025_AJ_169_176.pdf
Files (2.2 MB)
Name Size Download all
md5:5d1e3aeadd7a8c33f73c38a99c7248af
2.2 MB Preview Download

Additional details

Created:
March 6, 2025
Modified:
March 6, 2025