{ "cells": [ { "cell_type": "markdown", "id": "6e0f9c07", "metadata": {}, "source": [ "# How does TESS handle cosmic rays?\n", "\n", "\"Cosmic rays\", a general term for both Galactic cosmic rays and solar energetic particles, are high energy particles that can cause flux increases in pixels on detectors of space telescopes like TESS (See [this link](https://imagine.gsfc.nasa.gov/science/toolbox/cosmic_rays1.html) for more information on Cosmic rays). These particles can either directly cause an increase in flux by hitting the detector (a primary event), or they can cause a cascade of other particles which themselves cause spurious flux on the detector (secondary events). These particles are always streaming through the TESS instruments, and so they impact our data. Cosmic rays can look a lot like interesting astrophysical variability, and so the TESS mission products use different methods to handle them.\n", "\n", "In this notebook you will learn about the different ways cosmic rays are dealt with by TESS mission products, and learn how that might impact your science with TESS data." ] }, { "cell_type": "markdown", "id": "6bacd9f6", "metadata": {}, "source": [ "# Introduction to TESS data products\n", "\n", "TESS has three main data products. We will briefly discuss them here, and lay out how cosmic rays are addressed in the data files. \n", "\n", "\n", "Full Frame Images (FFIs): An FFI is the full set of all science and collateral pixels across all four CCDs of a given camera. In the prime mission (Cycles 1 and 2), they had a cadence of 30 minutes, then 10 minutes in the first extension (Cycles 3 and 4), and 200 seconds in the second extension (Cycle 5+). The images are built up from 2-second exposures, with Cosmic Ray Mitigation (CRM) being implemented onboard as described in Section 1.\n", "\n", "Target Pixel Files (TPFs): These are cutouts of the pixels surrounding pre-selected targets of interest and are created on the ground. TPFs have a cadence of 120 seconds only in the primary mission, but from the extended mission onwards they may also have a cadence of 20 seconds. Cosmic Ray Mitigation is applied onboard for 120-second targets, but not for 20-second targets.\n", "\n", "\n", "Lightcurves (LC): Files containing the brightness of a given target over time for pre-selected targets. Lightcurves are created by combining the flux within a given aperture around the target on the TPF. These have cadences of either 2 minutes or, beginning in the extended mission, 20 seconds.\n", "\n", "\n", "The TPFs and LCs are created by the Science Processing Operations Center (SPOC) pipeline using raw data from TESS. The SPOC is located at NASA Ames and the pipeline, based on that developed for Kepler (see Jenkins 2016), is used to process and correct the raw TESS data. LCs created from 120 second cadence TPF data have already been corrected for cosmic rays, and as such need no further CRM. LCs created from 20-second cadence data undergo an extra step of processing by SPOC in which cosmic rays are identified and removed. See Section 2 for further details.\n" ] }, { "cell_type": "markdown", "id": "acc2f948", "metadata": {}, "source": [ "# Method 1: Cosmic Ray Mitigation\n", "\n", "Cosmic Ray Mitigtaion (CRM) is a strategy employed by TESS during data collection. The strategy is intended to remove large outliers created by cosmic ray impacts from the pixel data. CRM is applied to each pixel in the following steps:\n", "\n", "- Data are collected from the CCDs every two seconds. FFI and shorter cadence data are created by summing 2s images. \n", "- For each pixel, the spacecraft computer identifies and removes both the brightest and faintest value in groups of 10 exposures.\n", "- The values of the remaining 8 exposures are summed and used to create the relevant data product, i.e. the above procedure is completed 6 times and coadded to create the 120 second cadence TPFs with 96 second total integration time. The procedure is 10 times and co-added to create 200 second FFIs for Cycles 5+, 30 times for the 10 minute FFIs during the first extended mission, and 90 times to create one 30-minute FFI during the prime mission, resulting in 160-second, and 480-second, and 1440-second integration times respectively. \n", "\n", "Below is a representation of what occurs on-board, for each pixel for each 20 second frame" ] }, { "cell_type": "code", "execution_count": 1, "id": "05bfd590", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "plt.style.use('seaborn-white')" ] }, { "cell_type": "code", "execution_count": 2, "id": "b315e3f7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f = np.random.normal(100, 10, size=10)\n", "\n", "fig, ax = plt.subplots()\n", "ax.plot(np.arange(0, 20, 2), f, c='k', zorder=1, marker='.', label='Kept Cadences')\n", "ax.scatter([np.argmin(f)*2, np.argmax(f)*2], [f.min(), f.max()], c='r', marker='x', s=100, zorder=10, label='Removed Cadences')\n", "\n", "ax.hlines( np.mean(f), 0,24,linestyles='dashed', color='k', label='mean (with outliers)')\n", "ax.hlines( np.mean(np.delete(f, [np.argmin(f), np.argmax(f)])), 0,24,linestyles='dashed', color='r', label='mean (removed outliers)')\n", "\n", "ax.set_xlim(0,20)\n", "ax.set(xlabel='Time [seconds]', ylabel='Measured Flux')\n", "ax.legend(loc='upper center', bbox_to_anchor=(0.5, 1.15),\n", " fancybox=False, shadow=False, ncol=2)" ] }, { "cell_type": "markdown", "id": "1bab51a3", "metadata": {}, "source": [ "CRM is \"baked in\" to the data, it can not be removed, and it can not be reversed.\n", "\n", "**Crucially, for 20-second TPF data taken by the mission and delivered, this strategy is not employed.** 20 second data consists of 10 co-added 2 second frames, with no frames removed. \n", "\n", "In addition, for every 20 second TPF, a 120 second TPF (with on-board CRM) is also created and archived. Meaning, for any target with 20 second TESS data there is:\n", "\n", "- A 20-second TPF without on-board Cosmic Ray Mitigation\n", "- A 20-second LC, made from the 20-second TPF, without on-board CRM\n", "- A 120-second TPF with on-board Cosmic Ray Mitigation\n", "- A 120-second LC, made from the 120-second TPF, with on-board CRM\n", "\n", "Because of this, simply coadding the 20-second data from TESS will not produce exactly the 120 second data.\n", "\n", "After the 20-second data is on the ground, cosmic rays are removed using a different method during processing with SPOC. Therefore any SPOC TPF or LC products you download will have cosmic ray correction that *is* reversable. The details of this process will be discussed in more detail in Section 2 below." ] }, { "cell_type": "markdown", "id": "67eb0bd0", "metadata": {}, "source": [ "# What are the impacts of Cosmic Ray Mitigation?\n", "\n", "CRM has many impacts on the data products that you get, here are some of the key impacts:\n", "\n", "- **Cosmic rays in the data are significantly reduced.** Large, single cadence deviations are removed.\n", "- **The raw target flux from data with on-board CRM is 80% of the true flux, because 20% of the data is removed by CRM.** The TESS mission pipeline corrects for this in the light curve data products delivered to the archive.\n", "- **Extremely fast, asymmetric, astrophysical variability (on time-scales of 20 seconds or less) may be adveresly affected.** The CRM might, for example, remove extremely short term stellar flares.\n", "- **The noise distributions of the data are affected.** Because cosmic rays do not occur in every 20 second co-add, the CRM will alter the pixel time-series of the true target flux. This can impact the noise distribution and properties of the target." ] }, { "cell_type": "markdown", "id": "ceacb2a2", "metadata": {}, "source": [ "# Method 2: SPOC Pipeline Cosmic Ray Identification and Removal\n", "\n", "Once data is received on the ground, it is processed by the TESS pipeline. Because CRM is not used on board for 20 second data, the SPOC pipeline runs an additional step on these data to identify cosmic rays and remove them. The removed cosmic rays are stored in the FITS file and can be accessed and added back to the TPF if desired. To briefly summarize the process, cosmic rays are:\n", "\n", "- Identified in each 20-second image.\n", "- In images where there is a cosmic ray identified, the amplitude of the cosmic ray in each pixel is recorded.\n", "- Cosmic rays are removed (subtracted) from the pixel level data.\n", "- The time, pixel positions, and flux value removed are recorded to an array as an extension to the fits file.\n", "\n", "Below is an example of the information in the cosmic ray extension. For further details on the process, see the [data release notes from Sector 27](https://archive.stsci.edu/missions/tess/doc/tess_drn/tess_sector_27_drn38_v02.pdf), Section 4.1. \n", "\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "6e8af906", "metadata": {}, "outputs": [], "source": [ "import lightkurve as lk\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "def load_cosmicray_extension(tpf):\n", " \"\"\"Function to load the cosmic ray extension into a datacube\n", " \n", " Parameters:\n", " -----------\n", " tpf: lk.TargetPixelFile\n", " Input Target Pixel File\n", " \n", " Returns:\n", " -------\n", " cr: np.ndarray\n", " Array containing cosmic ray fluxes of shape tpf.shape\n", " \"\"\"\n", " cadenceno = np.asarray(tpf.cadenceno)\n", "\n", " # Get cosmic ray information\n", " l = np.where([hdu.name == 'TARGET COSMIC RAY' for hdu in tpf.hdu])[0]\n", " if len(l) != 1:\n", " raise ValueError(\"TPF product has no cosmic ray extension.\")\n", " hdu = tpf.hdu[l[0]]\n", " c, x, y, f = [hdu.data[attr].copy() for attr in ['CADENCENO', 'RAWX', 'RAWY', 'COSMIC_RAY']]\n", " if len(c) == 0:\n", " raise ValueError(\"No cosmic rays identified. Is this a 20-second dataset?\")\n", " x -= tpf.column\n", " y -= tpf.row\n", " \n", " # Mask down to only cosmic rays in cadences within the TPF\n", " k = np.in1d(c, cadenceno)\n", " c, x, y, f = c[k], x[k], y[k], f[k]\n", " \n", " # Map cosmic ray cadences to array indices\n", " r = {cadenceno[idx]:idx for idx in range(tpf.shape[0])}\n", " inv = np.asarray([r[c1] for c1 in c])\n", " \n", " # Build a cube\n", " cr = np.zeros(tpf.shape)\n", " cr[inv, y, x] = f\n", " return cr" ] }, { "cell_type": "markdown", "id": "0cfcc4d6", "metadata": {}, "source": [ "In the example below, we make use of a TPF file. If you need a refresher on how to handle TPF files before proceeding, check out [this tutorial](https://docs.lightkurve.org/tutorials/1-getting-started/what-are-targetpixelfile-objects.html)." ] }, { "cell_type": "code", "execution_count": 4, "id": "b7f21dda", "metadata": {}, "outputs": [], "source": [ "#Get an example 20-s TPF file\n", "tpf = lk.search_targetpixelfile('Kepler 10', mission='TESS', author='SPOC', exptime=20, sector=40).download()" ] }, { "cell_type": "code", "execution_count": 5, "id": "5c72a21f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "tpf.plot(vmin=0, vmax=250)" ] }, { "cell_type": "code", "execution_count": 6, "id": "50c46034", "metadata": {}, "outputs": [], "source": [ "#Get the cosmic ray data using the function we defined above\n", "cosmic_ray_cube = load_cosmicray_extension(tpf)" ] }, { "cell_type": "code", "execution_count": 7, "id": "493e6abd", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Plot some random examples of the CRs in the data\n", "ax_num = 0\n", "fig, ax = plt.subplots(2,3, figsize=(14,8))\n", "for ii in range(100,1000, 10):\n", " #only plot if a CR was found in the frame\n", " if np.sum(cosmic_ray_cube[ii]) > 0: \n", " im = ax.flat[ax_num].imshow(cosmic_ray_cube[ii], cmap='viridis',vmin=0, vmax=250)\n", " ax.flat[ax_num].set(xlabel='Pixel Column', ylabel='Pixel Row', title='Cosmic Ray Extension')\n", " cbar = plt.colorbar(im, ax=ax.flat[ax_num])\n", " cbar.set_label('Counts [e$^-$/s]')\n", " ax_num +=1\n", " #Stop after plotting 6\n", " if ax_num==6:\n", " break\n", " \n", "plt.show()" ] }, { "cell_type": "markdown", "id": "5691614f", "metadata": {}, "source": [ "The cosmic ray extension can be used to re-inject the cosmic rays into the pixel data. For example, using the pipeline processed pixels we can simply add the cosmic rays back into the simple aperture photometry [(SAP)](https://heasarc.gsfc.nasa.gov/docs/tess/LightCurveFile-Object-Tutorial.html). " ] }, { "cell_type": "code", "execution_count": 8, "id": "e9a373e0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "lc = tpf.to_lightcurve(aperture_mask=tpf.pipeline_mask)\n", "lc.plot()" ] }, { "cell_type": "code", "execution_count": 9, "id": "94e4a51a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(9000.0, 20000.0)" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "tpf_with_cr = (tpf + cosmic_ray_cube)\n", "lc_with_cr = tpf_with_cr.to_lightcurve(aperture_mask=tpf.pipeline_mask)\n", "ax = lc_with_cr.plot(c='r', label='SAP flux, with cosmic rays')\n", "lc.plot(ax=ax, c='k', label='SAP flux, without cosmic rays')\n", "plt.ylim(9000,20000)" ] }, { "cell_type": "markdown", "id": "13c23a30", "metadata": {}, "source": [ "The cosmic rays that are removed are stored in the TPF files. In order to add CRs back into a LC directly, you would need to sum the CR flux in all pixels of the photometric aperture. For the SAP flux, you can simply add this flux in. However, for the corrected Presearch Data Conditioning SAP [(PDC-SAP)](https://heasarc.gsfc.nasa.gov/docs/tess/LightCurveFile-Object-Tutorial.html) lightcurves, you will need to normalize the cosmic ray correction by an extra factor for all pixels within the chosen aperture as follows:\n", "\n", "$f'_{PDCSAP\\_flux}(n) = f_{PDCSAP\\_flux}(n)+\\dfrac{\\Delta f(n)}{FLFRCSAP}$\n", "\n", "where $f'_{PDCSAP\\_flux}(n)$ is the UNCORRECTED flux (ie, with cosmic rays injected back in), $f_{PDCSAP\\_flux}(n)$ is the PDC-SAP corrected flux, $\\Delta f(n)$ is the flux removed by the cosmic ray correction, and FLFRCSAP is the flux fraction correction. The latter value is stored in the LC and TPF binary table headers. \n", "\n", "Additional outliers caused by uncorrected cosmic rays may still remain, particularly when the target is bright. In this case, the suspected CRs will be labeled with a data quality bit of 10 (quality value = 512) as impulsive outliers. Users should consider their science objectives and determine whether or not these outliers should be masked. " ] }, { "cell_type": "markdown", "id": "47993d1c", "metadata": {}, "source": [ "# Conclusion\n", "\n", "Cosmic rays are frequently seen in TESS data. The on-board cosmic ray mitigation system is effective at removing the majority of cosmic rays for FFI images and 120-second TPF and LCs. The on-board CRM system is not run for the 20-second data product, but rather cosmic arrays are corrected for by the SPOC pipeline. \n", "\n", "If you are an astronomer mostly interested in variability on time-scales much longer than 20 seconds, you are likely to only benefit from data that uses Cosmic Ray Mitigation. CRM will largely make your data less susceptible to significant upwards outliers.\n", "\n", "If you are an astronomer mostly interested in short term flares or other impulsive events with time scales on the order of 20 seconds or less, CRM may hamper your investigations. Users may wish to use the TPF *without* cosmic rays removed and build a model that accounts for cosmic rays in their detection pipeline. In this case we recommend that you propose to the TESS General Investigator program to obtain 20 second data of your targets of interest. However, 20 second targets are a limited resource as they are a large volume of data, so there is more competition for those resources." ] }, { "cell_type": "code", "execution_count": null, "id": "5f2fd4de", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 5 }