{ "cells": [ { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "ORlvn98Ns7lY" }, "source": [ "# Instrumental Noise in _Kepler_ and _K2_ #4: Electronic Noise" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "L57_f2QscO85" }, "source": [ "## Learning Goals\n", "\n", "By the end of this tutorial, you will be able to:\n", "\n", "- Explain electronic crosstalk and how it manifests in _Kepler_ data.\n", "- Identify rolling bands in _Kepler_ data and compare their effect to other sources of noise.\n", "- Understand the short- and long-term consequences of cosmic rays on the _Kepler_ detector.\n" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "D0ixWhW-cTfm" }, "source": [ "## Introduction\n", "\n", "This tutorial is the fourth part of a series on identifying instrumental and systematic sources of noise in _Kepler_ and _K2_ data. The first three tutorials in this series are suggested (but not necessary) reading for working through this one. Assumed knowledge for this tutorial is a working familiarity with _Kepler_ light curve files, target pixel files, and their associated metadata." ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "f0yfyjrD2ERM" }, "source": [ "## Imports\n", "\n", "We'll use **[Lightkurve](https://docs.lightkurve.org/)** for downloading and handling _Kepler_ data throughout this tutorial. We'll also use **[NumPy](https://numpy.org/)** to handle arrays for aperture masks, and **[Matplotlib](https://matplotlib.org/)** to help with some plotting." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": {}, "colab_type": "code", "execution": { "iopub.execute_input": "2023-11-03T14:14:51.837873Z", "iopub.status.busy": "2023-11-03T14:14:51.837548Z", "iopub.status.idle": "2023-11-03T14:14:53.086212Z", "shell.execute_reply": "2023-11-03T14:14:53.085870Z" }, "id": "LQ6s2Mlwc4l9" }, "outputs": [], "source": [ "import lightkurve as lk\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "Z2LYbTD9z1xj" }, "source": [ "---" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "pG12XB_YIlu4" }, "source": [ "## 1. Background\n", "\n", "The *Kepler* space telescope operated as a *photometer*: using charge-coupled devices (CCDs), *Kepler* collected photons and processed these as flux measurements. The detector array consisted of 25 modules, and 94.6 million pixels. With an instrument of this size, electronic noise issues are inevitable. In this tutorial, we'll look at three major sources of electronic noise that occurred throughout both the *Kepler* and *K2* missions." ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "nwZm64fywxhb" }, "source": [ "## 2. Crosstalk\n", "\n", "Crosstalk refers to the phenomenon where an electronic signal from one channel of a device is transferred to another channel and causes noise. In _Kepler_ and _K2_ data, this often manifests as signal from one (usually bright) target appearing elsewhere on the detector. This is known as \"video crosstalk,\" and only has a significant effect when it occurs on the same module, due to the shielding between modules ([_Kepler_ Instrument Handbook](https://archive.stsci.edu/files/live/sites/mast/files/home/missions-and-data/kepler/_documents/KSCI-19033-002-instrument-hb.pdf) Section 6.3). _Kepler_ crosstalk can also occur between the CCD modules and the Fine Guidance Sensors (FGS), and between either of these and the onboard clock. However, these kinds of crosstalk are well understood and corrected by the pipeline before data delivery. If you are interested in reading more about these types of crosstalk, they're covered in Sections 6.2 and 6.4 of the [_Kepler_ Instrument Handbook](https://archive.stsci.edu/files/live/sites/mast/files/home/missions-and-data/kepler/_documents/KSCI-19033-002-instrument-hb.pdf).\n", "\n", "To understand what video crosstalk looks like, let's take an example from the _K2_ mission, as documented [here](https://github.com/KeplerGO/lightkurve/issues/160). UGC 7394 (EPIC 200084891) is a galaxy that was observed during _K2_ Campaign 10. Campaign 10 was delivered in two parts, as observation began with a pointing error of 3.5 pixels ([_K2_ Data Release Notes 15](https://archive.stsci.edu/missions/k2/doc/drn/KSCI-19131-001_K2-DRN15_C10.pdf), Section 2.1), so when we download our data using Lightkurve we have to specify which file we want. Let's begin with Campaign 10a:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 437 }, "colab_type": "code", "execution": { "iopub.execute_input": "2023-11-03T14:14:53.088287Z", "iopub.status.busy": "2023-11-03T14:14:53.088135Z", "iopub.status.idle": "2023-11-03T14:14:54.748180Z", "shell.execute_reply": "2023-11-03T14:14:54.747880Z" }, "executionInfo": { "elapsed": 63401, "status": "ok", "timestamp": 1600736854404, "user": { "displayName": "Geert Barentsen", "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14Gj8sjdnDeqdejfe7OoouYPIclAQV0KSTpsU469Jyeo=s64", "userId": "05704237875861987058" }, "user_tz": 420 }, "id": "0UQdJIWOLj-0", "outputId": "99681967-0dad-4153-b70c-09fa4fe219f5" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/chedges/Library/Caches/pypoetry/virtualenvs/lightkurve-hY241qo1-py3.9/lib/python3.9/site-packages/astropy/io/fits/fitsrec.py:715: UserWarning: Field 12 has a repeat count of 0 in its format code, indicating an empty field.\n", " warnings.warn(\n" ] }, { "data": { "image/png": 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", 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