KSIM: simulating KIDSpec, a Microwave Kinetic Inductance Detector spectrograph for the optical/NIR

Hofmann, V Benedict; O'Brien, Kieran

Abstract

KIDSpec, the Kinetic Inductance Detector Spectrometer, is a proposed optical to near-IR Microwave Kinetic Inductance Detector (MKID) spectrograph. MKIDs are superconducting photon counting detectors which are able to resolve the energy of incoming photons and their time of arrival. KIDSpec will use these detectors to separate incoming spectral orders from a grating, thereby not requiring a cross-disperser. In this paper, we present a simulation tool for KIDSpec’s potential performance upon construction to optimize a given design. This simulation tool is the KIDSpec Simulator (KSIM), a Python package designed to simulate a variety of KIDSpec and observation parameters. A range of astrophysical objects are simulated: stellar objects, an SDSS observed galaxy, a Seyfert galaxy, and a mock galaxy spectrum from the JAGUAR catalogue. Multiple medium spectral resolution designs for KIDSpec are simulated. The possible impact of MKID energy resolution variance and dead pixels was simulated, with impacts on KIDSpec performance observed using the Reduced Chi-Squared (RCS) value. Using dead pixel percentages from current instruments, the RCS result was found to only increase to 1.21 at worst for one of the designs simulated. SNR comparisons of object simulations between KSIM and X-Shooter’s ETC were also simulated. KIDSpec offers a particular improvement over X-Shooter for short and faint observations. For a Seyfert galaxy (mR = 21) simulation with a 180 s exposure, KIDSpec had an average SNR of 4.8, in contrast to 1.5 for X-Shooter. Using KSIM the design of KIDSpec can be optimized to improve the instrument further.

Citation

Hofmann, V. B., & O'Brien, K. (2023). KSIM: simulating KIDSpec, a Microwave Kinetic Inductance Detector spectrograph for the optical/NIR. RAS Techniques and Instruments, 2(1), 278-292. https://doi.org/10.1093/rasti/rzad018

• Journal Article Type: Article
• Acceptance Date: May 26, 2023
• Online Publication Date: Jun 13, 2023
• Publication Date: 2023-01
• Deposit Date: Aug 23, 2021
• Publicly Available Date: Aug 17, 2023
• Journal: RAS Techniques and Instruments
• Print ISSN: 2752-8200
• Electronic ISSN: 2752-8200
• Publisher: Oxford University Press
• Peer Reviewed: Peer Reviewed
• Volume: 2
• Issue: 1
• Pages: 278-292
• DOI: https://doi.org/10.1093/rasti/rzad018
• Keywords: Software, Spectroscopy, MKIDs, Simulation, Instrumentation
• Public URL: https://durham-repository.worktribe.com/output/1266334