Merge pull request spacetelescope#433 from spacetelescope/bkuhn_wfc3_edits

cshanahan1 · web-flow · commit bf78249beeee · 2025-11-21T11:10:43.000-05:00
Adding banner to WFC3 notebooks
diff --git a/notebooks/WFC3/calwf3_recalibration/calwf3_recal_tvb.ipynb b/notebooks/WFC3/calwf3_recalibration/calwf3_recal_tvb.ipynb
@@ -5,8 +5,10 @@
    "metadata": {},
    "source": [
     "<a id=\"title\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "# Manual Recalibration with calwf3: Turning off the IR Linear Ramp Fit\n",
-    "<hr>\n",
     "\n",
     "## Learning Goals\n",
     "\n",
@@ -763,7 +765,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.5"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/calwf3_v1.0_cte/calwf3_with_v1.0_PCTE.ipynb b/notebooks/WFC3/calwf3_v1.0_cte/calwf3_with_v1.0_PCTE.ipynb
@@ -6,6 +6,8 @@
    "source": [
     "<a id=\"top\"></a>\n",
     "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "# Processing WFC3/UVIS Data with `calwf3` Using the v1.0 CTE-Correction  \n",
     "<hr>\n",
     "\n",
diff --git a/notebooks/WFC3/exception_report/wfc3_exception_report.ipynb b/notebooks/WFC3/exception_report/wfc3_exception_report.ipynb
@@ -8,9 +8,13 @@
     }
    },
    "source": [
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "<a id=\"top\"></a>\n",
+    "\n",
     "# Exception Report Checklist - WFC3\n",
     "<hr>\n",
+    "\n",
     "## Learning Goals\n",
     "In this notebook, you will walk through the procedure for addressing a HST/WFC3 exception report and <br> \n",
     "determining if a HOPR and/or Help Desk Ticket should be filed. \n",
@@ -715,7 +719,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/filter_transformations/filter_transformations.ipynb b/notebooks/WFC3/filter_transformations/filter_transformations.ipynb
@@ -6,8 +6,12 @@
    "metadata": {},
    "source": [
     "<a id=\"title\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "# WFC3/UVIS Filter Transformations with stsynphot \n",
     "<hr>\n",
+    "\n",
     "## Learning Goals\n",
     "\n",
     "By the end of this tutorial, you will:\n",
@@ -560,7 +564,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/flux_conversion_tool/flux_conversion_tool.ipynb b/notebooks/WFC3/flux_conversion_tool/flux_conversion_tool.ipynb
@@ -6,8 +6,12 @@
    "metadata": {},
    "source": [
     "<a id=\"title\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "# Flux Unit Conversions with synphot and stsynphot \n",
     "<hr>\n",
+    "\n",
     "## Learning Goals\n",
     "By the end of this tutorial, you will:\n",
     "\n",
@@ -828,7 +832,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.6"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/image_displayer_analyzer/wfc3_image_displayer_analyzer.ipynb b/notebooks/WFC3/image_displayer_analyzer/wfc3_image_displayer_analyzer.ipynb
@@ -5,8 +5,12 @@
    "metadata": {},
    "source": [
     "<a id=\"top\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "# WFC3 Image Displayer & Analyzer  \n",
     "<hr>\n",
+    "\n",
     "## Learning Goals\n",
     "This notebook provides a method to quickly display images from the Hubble Space Telescope’s Wide Field <br>\n",
     "Camera 3 (WFC3) instrument. This tool also allows the user to derive statistics by row or column in the image. <br>\n",
@@ -541,7 +545,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/ir_ima_visualization/IR_IMA_Visualization_with_an_Example_of_Time_Variable_Background.ipynb b/notebooks/WFC3/ir_ima_visualization/IR_IMA_Visualization_with_an_Example_of_Time_Variable_Background.ipynb
@@ -9,6 +9,9 @@
    },
    "source": [
     "<a id=\"top\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "# WFC3/IR IMA Visualization Tools with An Example of Time Variable Background\n",
     "\n",
     "\n",
@@ -788,7 +791,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/ir_scattered_light_calwf3_corrections/Correcting_for_Scattered_Light_in_IR_Exposures_Using_calwf3_to_Mask_Bad_Reads.ipynb b/notebooks/WFC3/ir_scattered_light_calwf3_corrections/Correcting_for_Scattered_Light_in_IR_Exposures_Using_calwf3_to_Mask_Bad_Reads.ipynb
@@ -5,6 +5,9 @@
    "metadata": {},
    "source": [
     "<a id=\"top\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "# Correcting for Scattered Light in WFC3/IR Exposures: Using `calwf3` to Mask Bad Reads\n",
     "\n",
     "\n",
@@ -707,7 +710,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.5"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/ir_scattered_light_manual_corrections/Correcting_for_Scattered_Light_in_IR_Exposures_by_Manually_Subtracting_Bad_Reads.ipynb b/notebooks/WFC3/ir_scattered_light_manual_corrections/Correcting_for_Scattered_Light_in_IR_Exposures_by_Manually_Subtracting_Bad_Reads.ipynb
@@ -5,6 +5,9 @@
    "metadata": {},
    "source": [
     "<a id=\"top\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "# Correcting for Scattered Light in WFC3/IR Exposures: Manually Subtracting Bad Reads\n",
     "\n",
     "\n",
@@ -147,6 +150,7 @@
     "Observations.download_products(data_list['obsid'], \n",
     "                               project='CALWF3', \n",
     "                               obs_id=file_id, \n",
+    "                               cache=False,\n",
     "                               mrp_only=False, \n",
     "                               productSubGroupDescription=['RAW', 'IMA', 'FLT'])"
    ]
@@ -329,13 +333,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [],
    "source": [
     "raw_filepath = f'{file_id}_raw.fits'\n",
     "\n",
     "print(f\"Querying CRDS for the reference file associated with {raw_filepath}.\")\n",
-    "command_line_input = 'crds bestrefs --files {:} --sync-references=1 --update-bestrefs'.format(raw_file)\n",
+    "command_line_input = 'crds bestrefs --files {:} --sync-references=1 --update-bestrefs'.format(raw_filepath)\n",
     "os.system(command_line_input)"
    ]
   },
@@ -877,7 +883,7 @@
    "source": [
     "data_list = Observations.query_criteria(obs_id=OBS_ID)\n",
     "\n",
-    "Observations.download_products(data_list['obsid'], project='CALWF3', \n",
+    "Observations.download_products(data_list['obsid'], project='CALWF3', cache=False,\n",
     "                               mrp_only=False, productSubGroupDescription=['FLT', 'DRZ'])"
    ]
   },
@@ -1045,7 +1051,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.5"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/mast_api_psf/download_psf_cutouts.ipynb b/notebooks/WFC3/mast_api_psf/download_psf_cutouts.ipynb
@@ -8,10 +8,14 @@
     }
    },
    "source": [
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "<a id=\"top\"></a>\n",
+    "\n",
     "# Downloading WFC3 and WFPC2 PSF Cutouts from MAST\n",
     "\n",
     "<hr>\n",
+    "\n",
     "## Learning Goals\n",
     "This notebook demonstrates how to download PSF cutouts (i.e. \"realizations\" of the PSF) from the WFC3 and WFPC2 PSF Databases on the MAST Portal using the MAST API. By the end of this tutorial, you will:\n",
     "\n",
@@ -539,7 +543,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/persistence/wfc3_ir_persistence.ipynb b/notebooks/WFC3/persistence/wfc3_ir_persistence.ipynb
@@ -9,8 +9,13 @@
    },
    "source": [
     "<a id=\"top\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
+    "\n",
     "# Masking Persistence in WFC3/IR Images\n",
     "<hr>\n",
+    "\n",
     "## Learning Goals\n",
     "\n",
     "This notebook shows how to use the Hubble Space Telescope WFC3/IR persistence model to flag pixels affected by persistence in the calibrated (FLT) science images. When the images are sufficiently dithered to step over the observed persistence artifacts, AstroDrizzle may be used to exclude those flagged pixels when combining the FLT frames.  \n",
@@ -516,7 +521,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.5"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/photometry_examples/phot_examples.ipynb b/notebooks/WFC3/photometry_examples/phot_examples.ipynb
@@ -6,8 +6,13 @@
    "metadata": {},
    "source": [
     "<a id=\"title\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
+    "\n",
     "# Synthetic Photometry Examples for WFC3\n",
     "<hr>\n",
+    "\n",
     "## Learning Goals\n",
     "\n",
     "By the end of this tutorial, you will: \n",
@@ -873,7 +878,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.6"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/point_spread_function/hst_point_spread_function.ipynb b/notebooks/WFC3/point_spread_function/hst_point_spread_function.ipynb
@@ -12,10 +12,14 @@
    },
    "source": [
     "<a id=\"top\"></a>\n",
-    "# HST WFC3 Point Spread Function Modeling   <img style=\"float: right;\" src=\"https://raw.githubusercontent.com/spacetelescope/hst_notebooks/main/assets/stsci_pri_combo_mark_horizonal_white_bkgd.png\" alt=\"Space Telescope Logo\" width=\"200px\"/>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
+    "# HST WFC3 Point Spread Function Modeling\n",
     "\n",
     "<hr>\n",
     "<a id=\"learning\"></a>\n",
+    "\n",
     "## Learning Goals\n",
     "This notebook demonstrates how to create Point Spread Function (PSF) models for HST [Wide Field Camera 3 (WFC3)](https://www.stsci.edu/hst/instrumentation/wfc3) observations.\n",
     "\n",
@@ -1591,7 +1595,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/tvb_flattenramp/TVB_flattenramp_notebook.ipynb b/notebooks/WFC3/tvb_flattenramp/TVB_flattenramp_notebook.ipynb
@@ -9,8 +9,12 @@
    },
    "source": [
     "<a id=\"top\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "# Correcting for Helium Line Emission Background in IR Exposures using the \"Flatten-Ramp\" Technique\n",
     "<hr>\n",
+    "\n",
     "## Learning Goals\n",
     "This notebook shows how to identify IR exposures with time-variable Helium (1.083 micron) line emission background, and how to correct for it using the \"flatten-ramp\" technique. This method can be used to correct images affected by a sky background that does not vary across the field of view.  For recommendations on correcting for spatially variable background due to scattered light, see the [IR IMA Visualization Notebook](https://github.com/spacetelescope/hst_notebooks/tree/main/notebooks/WFC3/ir_ima_visualization) (O'Connor 2023).\n",
     "\n",
@@ -805,7 +809,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.0"
   },
   "varInspector": {
    "cols": {
diff --git a/notebooks/WFC3/uvis_g280_transit/G280_Exoplanet_Transits.ipynb b/notebooks/WFC3/uvis_g280_transit/G280_Exoplanet_Transits.ipynb
@@ -6,9 +6,13 @@
    "metadata": {},
    "source": [
     "<a id=\"top\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "# Analyzing WFC3/UVIS G280 Exoplanet Transit Observations\n",
     "\n",
     "<hr>\n",
+    "\n",
     "## Learning Goals\n",
     "This notebook demonstrates reduction and analysis of exoplanet transit observations of the \n",
     "hot Jupiter HAT-P-41b taken with the WFC3/UVIS G280 grism. By the end of this tutorial, you will be able to do the following for G280 time-series transit observations: \n",
@@ -1300,7 +1304,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/uvis_pam_corrections/WFC3_UVIS_Pixel_Area_Map_Corrections_for_Subarrays.ipynb b/notebooks/WFC3/uvis_pam_corrections/WFC3_UVIS_Pixel_Area_Map_Corrections_for_Subarrays.ipynb
@@ -9,10 +9,13 @@
    },
    "source": [
     "<a id=\"top\"></a>\n",
-    "# WFC3/UVIS Pixel Area Map Corrections for Subarrays\n",
     "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
+    "# WFC3/UVIS Pixel Area Map Corrections for Subarrays\n",
     "\n",
     "<hr>\n",
+    "\n",
     "## Learning Goals\n",
     "\n",
     "By the end of this tutorial, you will: \n",
@@ -730,7 +733,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/uvis_time_dependent_photometry/uvis_timedep_phot.ipynb b/notebooks/WFC3/uvis_time_dependent_photometry/uvis_timedep_phot.ipynb
@@ -5,8 +5,12 @@
    "metadata": {},
    "source": [
     "<a id=\"title\"></a>\n",
+    "\n",
+    "![STScI Logo](../../../_static/stsci_header.png)\n",
+    "\n",
     "# WFC3/UVIS Time-dependent Photometry\n",
     "<hr>\n",
+    "\n",
     "## Learning Goals\n",
     "By the end of this tutorial, you will:  \n",
     "- Compute aperture photometry on FLC frames acquired at three unique epochs and apply the new time-dependent inverse sensitivity (PHOTFLAM) keywords.\n",
@@ -692,7 +696,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WFC3/zeropoints/zeropoints.ipynb b/notebooks/WFC3/zeropoints/zeropoints.ipynb
