Package: kirkwoodnight
kirkwoodnightInteractive command line tool to assist with planning and conducting observations at Indiana University's Kirkwood Observatory. Given a desired date, time, and duration of observation, this program allows the user to toggle various observational constraints to generate an observing schedule for over 100 objects of interest, including solar system planets, bright stars, and Messier objects. The user may then select specific objects (or types of objects) they would like to observe during the night, upon which the program will generate a file for each object containing characteristic information (constellation, magnitude, type of object, etc.) as well as an observing schedule with sky positions (Alt, Az) tabulated at various time intervals. The user also has the option of generating star charts for these selected objects at each interval of the observing schedule.PrerequisitesPython 3or greater.The following dependencies may be installed with kirkwoodnight:numpypandasastropyastroplanskyfieldtabulatecoloramaInstallingkirkwoodnight may be installed (and updated) simply with pip:$pip install kirkwoodnight
$pip install kirkwoodnight --upgradeThe package repository may also be accessed in full athttps://github.com/ag161920/kirkwoodnight.UsageIt is highly recommended that this program is run from a new directory (e.g. "kirkwoodnights"). We also recommend that the terminal is maximized to fill the screen to best display the output tables.Once the user is in the desired directory, the program may be initiated simply by typing its name in the command line:$kirkwoodnightA series of prompts will then be displayed requesting the user to input the desired date (YYYY-MM-DD), time (HH:DD, military time in EST), and duration of their observing run. Then, the user will be asked about a series of observational constraints:Kirkwood's minimum altitude (deg), default is 20Kirkwood's maximum altitude (deg), default is 85Minimum separation from the moon (deg), default is 5Maximum allowable airmass, default is NoneDesired level of nighttime darkness (options are "civ", "naut", and "astro" respectively for "civil", "nautical", and "astronomical" conventions of nighttime), default is NoneDesired brightness level for the Moon (options are "grey" or "dark"), default is NoneHow often the user wants to re-check observability (hours), default is 0.5 (every 30 minutes)Default values may be accepted automatically at each prompt by pressing ENTER.
To accept all further default values beyond a given prompt, type "finish".
To restart the program at any of these prompts, type "restart".
To terminate the program at any point in time, type "exit".Following the input of the initial settings and constraints, the user will be asked for the number, type (e.g. Star), and/or subtype (e.g. Main Sequence, Red Supergiant) of objects they would like displayed in the printed tables (hitting ENTER will keep all objects). Since these objects are sorted by observability, the tables will represent the objects that present the best combination of visibility and brightness. The printed tables will contain relevant information about these objects, as well as observability over the course of the night:The user will then be asked if they would like to generate information/schedule files for select objects in the table. If the user types "yes", they will be asked to input the ID numbers (second column, not the names!) of the objects they are most interested in. For each object, a text file will be generated containing characteristic information as well as an observing schedule (with Alt/Az sky positions) for the night.The user will then have the option to generate star charts illustrating the sky positions of the selected objects at each block of the observing schedule:Finally, the user will be asked if they wish to save a log file describing the parameters and constraints used for the run.All output files are saved to an "output/[date_time]" directory automatically generated by the program.Collaboration and Individual UseThis code is a work in progress, so comments are welcome and encouraged! Any suggestions for improvement are appreciated, and this code is free to be altered and adapted locally to suit varied individual or institutional needs.AuthorsArmaan Goyal (armgoyal@iu.edu)Brandon Radzom (bradzom@iu.edu)Jessica Ranshaw (jranshaw@iu.edu)Xian-Yu Wang (xwa5@iu.edu)LicenseThis project is distributed under the MIT License - see theLICENSE.txtfile for further
details.