index.json

[
{
	"uri": "/en/tutorial/how_to_access_data/",
	"title": "Access your data",
	"tags": [],
	"description": "",
	"content": "  This will require that you complete 2 steps:\n Step 1: request access to our computer Step 2: reach your data   Step 1. Request access to our computers 1. Create an XCAMS account\nIf you have not done so, please create an XCAMS account 2. Request access to HFIR data\nYou can request access to your data by visiting this page https://neutronsr.us/accounts/request.html TOP \n Step 2. Reach your data If the goal is to bring your data to your computer for local visualization and analysis -not recommended due to the size of the data and the tools we offer via our analysis computer - the easiest way is to use FileZilla.\n1. Install FileZilla.\n2 Create and configure a new bookmark\nEnter the information as followed:\n Host: analysis.sns.gov Port: 22 Protocol: Select SFTP - SSH File Transfer Protocol Logon Type: Normal User: \u0026lt;your xcams\u0026gt; Password: \u0026lt;your password\u0026gt;  Click Connect\nYou can now browse to your data by following the structure /HFIR/CG1D/IPTS-XXXX\n\n"
},
{
	"uri": "/en/prepare_venue/",
	"title": "Prepare Your Venue",
	"tags": [],
	"description": "",
	"content": " Prepare your experiment In order to optimize your experiment time, we recommend you to go through the check lists from this Prepare Venue menu.\nFeel free to print out the pdf version and check out the items one by one.\n"
},
{
	"uri": "/en/prepare_venue/proposal_confirmation/",
	"title": "Proposal Confirmation",
	"tags": [],
	"description": "",
	"content": "To be completed only by the Principal Investigator (PI) of the experiment at least 3 weeks before beam time.\n You can access your proposal using the IPTS\n Confirmed samples (adding any new samples, and including composition)?\n Confirmed need for lab space?\n Confirmed experiment team that will be present at beam time (add any new members)?\n Confirm experiment equipment and/or sample environment?\n"
},
{
	"uri": "/en/tutorial/how_to_access_computer/",
	"title": "Connect to our computer",
	"tags": [],
	"description": "",
	"content": " For any personal tutorial, demonstration or request, please contact Jean Bilheux.\nIn order to analyze or visualize your data, please follow the following recipe.\nConnect to our analysis computer Using your favorite browser, go to https://cg1d-analysis2.ornl.gov\nEnter your XCAMS and your password and hit Login\nThe first time you log in, you will be presented the following display\njust click OK to finish up logging in.\nAnd if it is not the first time, you will probably see a black screen. Just click anywhere within the window to activate the screensaver log in.\nEnter your password and click Unlock.\nYou are now connected to our analysis computer.\n"
},
{
	"uri": "/en/prepare_venue/safety/",
	"title": "Engineering & Equipment Safety",
	"tags": [],
	"description": "",
	"content": "To be completed only by the Principal Investigator (PI) of the experiment\n  Provided all safety documentation for user provided equipment immediately?\n Shipped/delivered all user provided equipment at least 2 weeks prior to beam time for electrical and safety inspection?\n Answered all safety related questions through IPTS?\n Ensured that sample environment requested equipment is available and compatible with experiment/beam line?\n Written a JHA for hands on work at HFIR?\n"
},
{
	"uri": "/en/tutorial/",
	"title": "How to ...",
	"tags": [],
	"description": "",
	"content": "You will find here various step by step tutorial showing you how to access your data, our analysis computer, run the analysis software, etc.\n"
},
{
	"uri": "/en/prepare_venue/access/",
	"title": "Access",
	"tags": [],
	"description": "",
	"content": "This must be completed by all participants to the experiment before first day of experiment.\n  Received training e-mail from user office (neutronusers@ornl.gov)?\n Completed online training if assigned? ORNL training website\n Scheduled onsite training and tour for HFIR access?\n Followed attached procedure to access CG-1D data?\n Followed attached procedure to access CG-1D analysis computer?\n"
},
{
	"uri": "/en/tutorial/how_to_start_notebooks/",
	"title": "Start the python notebooks",
	"tags": [],
	"description": "",
	"content": "We provide a set of jupyter python notebooks. Those provide many advantages:\n rapid implementation for your special needs ease of use easy to modify if you need to use of python language (widely used in the scientific world) nothing to install for you as we take care of this for you when you use your analysis computer  To start the jupyter notebook, just double click the Start Jupyter icon in your desktop and be patient as the python server starts a firefox browser with the right python environment and move to the rigth folder, for you!\nTo start a notebook, just double click any of the .ipynb file (normalization.ipynb in this tutorial).\n"
},
{
	"uri": "/en/tutorial/how_to_run_notebooks/",
	"title": "Run a jupyter notebook",
	"tags": [],
	"description": "",
	"content": "  Our jupyter python notebooks are very straighforward to use but there are just a few key points you need to know.\n notebook layout run the notebook modify the notebook  \n Notebook layout \n Run the notebook Execute cells The notebooks must be run from top to bottom. Place the cursor in the first cell and either click the  icon, or by using the keyboard shortcut SHIFT + ENTER.\nOutput and widgets The cell is then executed and depending on the contain of this one, you may see or not an output to the cell. The output is always displayed just below the cell ran. In some of our notebooks you will see widgets that you will need to interact with. Here are a few examples of widgets you may encounter in your notebook.\nIn some notebooks, the output may even show up in the back of the notebook (the default cell output will give you a message that let you know where to look). Those outside widgets are more complex user interface such as the one shown here.\n\n Modify the notebook "
},
{
	"uri": "/en/prepare_venue/sample/",
	"title": "Sample Handling",
	"tags": [],
	"description": "",
	"content": " Sample Shipping and/or Handling at HFIR Your samples must be confirmed in IPTS before shipping.\nIf you prefer to bring your samples, please go first to the Sample Management Desk located in the Cold Guide Hall and work with Kristin Nevius or Brian to have all your samples labeled with an item Barcode before proceeding to the beamline.\n"
},
{
	"uri": "/en/faq/",
	"title": "Frequently Asked Questions",
	"tags": [],
	"description": "",
	"content": "  Question FAQ #1?   Answer will go here.     Question FAQ #2?   Answer will go here.  \n  Question FAQ #3?   Answer will go here.  \n"
},
{
	"uri": "/en/categories/",
	"title": "Categories",
	"tags": [],
	"description": "",
	"content": ""
},
{
	"uri": "/en/credits/",
	"title": "Contacts",
	"tags": [],
	"description": "",
	"content": "           Hassina Bilheux - Instrument ScientistExpertise: HFIR and SNS imaging beam lines bilheuxhn@ornl.gov (865) 384 - 9630    Lou Santodonato - Instrument ScientistExpertise: HFIR imaging beam line santodonatol@ornl.gov (865) 719 - 0656     Jean Bilheux - Computer ScientistExpertise: Software bilheuxjm@ornl.gov (865) 406 - 1704    Yuxuan Zhang (Shawn) - PostdoctorateExpertise: Resonance Imaging zhangy6@ornl.gov    Indu Dihman - PostdoctorateExpertise: Polarization Imaging dhimani@ornl.gov    Brianne Beers - Graduate Student    "
},
{
	"uri": "/en/github/",
	"title": "Github Repositories",
	"tags": [],
	"description": "",
	"content": "Our gloal is to only develop open source tools. You will find here a list of the major repositories hosting our programs\n jupyter notebooks used in the analysis of the data python_notebooks python library used for normalization neunorm Imaging Resonance python library imagingReso iBeatles for Bragg Edge fitting iBeatles set of jupyter widgets ipywe Root analysis library RootPlantProcessing  "
},
{
	"uri": "/en/",
	"title": "Neutron Imaging",
	"tags": [],
	"description": "",
	"content": " Neutron Imaging for Users Home Page Introduction here (Hassina)\nWe recommend that you discuss your experiment with the instrument team several weeks before your beam time.\n Main features  Prepare your venue Automatic Search Multilingual mode Unlimited menu levels Automatic next/prev buttons to navigate through menu entries Image resizing, shadow\u0026hellip; Attachments files List child pages Mermaid diagram (flowchart, sequence, gantt) Customizable look and feel and themes variants Buttons, Tip/Note/Info/Warning boxes, Expand  Contribute to this documentation Feel free to update this content, just click the Edit this page link displayed on top right of each page, and pullrequest it\nYour modification will be deployed automatically when merged.\n Documentation website This current documentation has been statically generated with Hugo with a simple command : hugo -t hugo-theme-learn \u0026ndash; source code is available here at GitHub\nAutomatically published and hosted thanks to Netlify. Read more about Automated HUGO deployments with Netlify\n "
},
{
	"uri": "/en/showcase/",
	"title": "Showcase",
	"tags": [],
	"description": "",
	"content": " TAT by OVH "
},
{
	"uri": "/en/tags/",
	"title": "Tags",
	"tags": [],
	"description": "",
	"content": ""
}]