# Instrument Simulator and Data Reduction Pipeline for the iLocater   Spectrograph

**Authors:** Eric B. Bechter, Andrew J. Bechter, Justin R. Crepp, Jonathan Crass,, David King

arXiv: 1812.01649 · 2019-01-23

## TL;DR

This paper presents a comprehensive simulator and data reduction pipeline for the iLocater NIR spectrograph, demonstrating its high precision and aiding in instrument design and optimization.

## Contribution

The authors developed a Matlab-based simulator and data reduction pipeline for iLocater, enabling detailed error analysis and instrument trade studies for this innovative adaptive optics NIR spectrograph.

## Key findings

- Simulator achieves <5 cm/s intrinsic precision.
- Supports instrument trade studies and design optimization.
- Available as open-source on GitHub.

## Abstract

iLocater is a near-infrared (NIR) radial velocity (RV) spectrograph that is being developed for the Large Binocular Telescope in Arizona. Unlike seeing limited designs, iLocater uses adaptive optics to inject starlight directly into a single mode fiber. This feature offers high spectral resolution while simultaneously maintaining a compact optical design. Although this approach shows promise to generate extremely precise RV measurements, it differs from conventional Doppler spectrographs, and therefore carries additional risk. To aid with the design of the instrument, we have developed a comprehensive simulator and data reduction pipeline. In this paper, we describe the simulation code and quantify its performance in the context of understanding terms in a RV error budget. We find that the program has an intrinsic precision of $\sigma < 5$ cm/s, thereby justifying its use in a number of instrument trade studies. The code is written in Matlab and available for download on GitHub.

## Full text

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## Figures

18 figures with captions in the complete paper: https://tomesphere.com/paper/1812.01649/full.md

## References

46 references — full list in the complete paper: https://tomesphere.com/paper/1812.01649/full.md

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Source: https://tomesphere.com/paper/1812.01649