How to acknowledge SpExoDisks:

To acknowledge the use of SpExoDisks.com to support your research, please include the following statement in your publication: "This research used the SpExoDisks Database at spexodisks.com". A reference describing SpExoDisks is in preparation (Wheeler et al. 2024), and will be included as standard reference in the future.

If you use specific spectra in a publication, in addition to the general reference above please cite also the individual reference(s) indicated in the header of the spectra files as downloaded from SpExoDisks.

Data download:

Upon download, you will get a zip file containing the spectra you selected plus a python script to read them in your own code and a readme file with information on what's included in the files. The spectra files come as .FITS files (including headers and multiple extensions as available) as well as a .TXT human-readable format. Both types of files will include information on the program, PI, and data reduction for each spectrum as available. If you plan on using spectra that have been observed recently (over the past ~3 years) or have not been published yet, we recommend you to get in touch with their PI for coordination on the analysis. If you are unsure, contact us, and we will confirm the publication or analysis status of a given spectrum.

Spectra currently included

The spectra included in SpExoDisks are contributed by individual researchers who have either taken the observations or obtained the data from archives, and who provided the fully reduced 1-dimensional spectra. All spectra are transformed into a standard format inside SpExoDisks which includes additional information as available (program number, PI, date, and references for the data reduction and for acknowledging use of the data). Below, we provide some information for each dataset by spectrograph, the samples currently included, and some key references.

If you wish to contribute data to the database, please get in touch with us using the contact form above, or email us at spexodisks@gmail.com


NEAR-infrared spectra

  • VLT-CRIRES

    • M and L band spectra (multiple settings around 4.7 and 2.9 micron, discontinuous coverage), resolving power R ~ 94,000
    • CRIRES website & reference
    • Total sample: ~75 disks around TTauri stars, some Herbig Ae/Be stars
    • PIs of programs included: E. van Dishoeck & K. Pontoppidan (179.C-0151), A. Banzatti (093.C-0432)
    • Data reduced and contributed by: K. Pontoppidan (acknowledgement: Pontoppidan et al. 2011)
    • Some references: Pontoppidan et al. 2011, Herczeg et al. 2011, Bast et al. 2011, Brown et al. 2013, Banzatti & Pontoppidan 2015, Banzatti et al. 2017, 2022
  • IRTF-iSHELL

    • M and L band spectra (nearly complete coverage at 4.52-5.25 and 2.7-3 micron), resolving power R ~ 60,000-90,000
    • iSHELL website & reference
    • Total sample: 65 disks around TTauri stars and Herbig Ae/Be
    • PIs of programs included: A. Banzatti, S. Brittain
    • Data reduced and contributed by: A. Banzatti, K. Abernathy, R. Sigler (acknowledgement: Banzatti et al. 2022)
    • Some references: Banzatti et al. 2018, Brittain et al. 2018, Abernathy et al. 2021, Jensen et al. 2021, Banzatti et al. 2022, 2023
  • Keck-NIRSPEC

    • M and L Band spectra (multiple settings around 4.8 and 2.9 micron, discontinuous coverage), resolving power R ~ 25,000
    • NIRSPEC website & reference
    • Total sample: ~200 disks around TTauri and Herbig Ae/Be stars
    • Data contributed by: G. Blake (acknowledgement: Blake & Boogert 2004, Salyk et al. 2011)
    • Some references: Blake & Boogert 2004, Salyk et al. 2009, 2011, 2013
    • Warning: observation dates are currently incorrect due to an issue in the data we received; they will be updated..
  • IGRINS

    • H and K band spectra (complete coverage), resolving power R ~ 45,000
    • IGRINS website, reference, & full spectral archive
    • Total sample: 129 TTauri stars in Taurus-Auriga (110 stars) and TW Hydrae (19 stars)
    • Data reduced and contributed by: IGRINS Team (acknowledgement: López-Valdivia et al. (2021))
    • Some references: López-Valdivia et al. (2021), Sokal et al. (2018, 2020)

MID-infrared spectra

  • VLT-VISIR

    • Three narrow settings at 12-13 micron, resolving power R ~ 30,000
    • VISIR website & reference
    • Total sample: ~60 disks around TTauri and Herbig Ae/Be stars
    • PIs of programs included: K. Pontoppidan
    • Data reduced and contributed by: A. Banzatti (acknowledgement: Banzatti et al. 2023)
    • Some references: Pascucci et al. 2020, Salyk et al. 2022, Banzatti et al. 2023
  • Spitzer-IRS

    • Mid-infrared spectra (complete coverage at 10-37 micron), resolving power R ~ 600-720
    • Spitzer-IRS website & reference
    • Total sample: ~130 disks around TTauri and Herbig Ae/Be stars
    • PIs of programs included: several (see file headers)
    • Data reduced and contributed by: K. Pontoppidan (acknowledgement: Pontoppidan et al. 2010)
    • References: Pontoppidan et al. 2010, Salyk et al. 2011, Banzatti et al. 2020
  • JWST-MIRI

    • Mid-infrared spectra (complete coverage at 4.9-28 micron), resolving power R ~ 1500-3700
    • JWST-MIRI website & reference
    • Total sample: expected ~30 TTauri stars from Cycle 1 observations
    • PIs of programs included: several (see file headers)
    • References: Kospal et al. 2023, ...

Stellar Data

The literature references of for stellar-parameter-values displayed in ExploreData page's table can be seen with a mouse-over (hover-text). Error values (when available) are displayed in parentheses with the parameter value.

This project makes use of several online astronomy databases that add context and value to the spectra included in SpExoDisks. It is this process that makes updating the SpExoDisks database automated based on stellar data, and therefore sustainable. We are grateful to all the people who maintain and contribute to these online databases which give critical context to the spectra. SpExoDisks' scientific value would be much lower without the stellar data provided by other sources.

SIMBAD

We are extremely grateful to The SIMBAD astronomical database for maintaining an updated list of all known stellar names. We would not have been able to link spectra from different telescopes and observers to the same star without this database. With SIMBAD, we are able to maintain and automatically update our internal star-name database, cross-matching our existing stellar name records and add new records as needed. This was done by reading the SIMBAD documentation and using existing query tools in astropy. Clicking on any star name in the ExploreData page's table will take you to the SIMBAD page for that star.

  • This project has made use of the SIMBAD database, operated at CDS, Strasbourg, France
  • 2000,A&AS,143,9 "The SIMBAD astronomical database", Wenger et al.

Gaia

We use all Gaia releases to provide stellar parameters for our database. We display the most recent release from the project website. These parameters include: distance, right ascension, declination, effective temperature and their associated errors.

The scale and speed of the GAIA archive were an inspiration during the initial development of the SpExoDisks project. This was the first time our team used a Sequential Query Language (SQL) database, and this eventually gave us the confidence to build our own SQL database for SpExoDisks.

GAIA DR3

  • Gaia Collaboration et al. (2016b): The Gaia mission (provides a description of the Gaia mission including spacecraft, instruments, survey and measurement principles, and operations);
  • Gaia Collaboration et al. (2023j): Gaia DR3: Summary of the contents and survey properties.
  • Babusiaux et al. (2023): Gaia DR3: Catalogue validation;
  • Please consult the entire list of official Gaia DR3 papers on https://www.cosmos.esa.int/web/gaia/dr3-papers.

Bailer-Jones et al. GAIA DR2

GAIA DR2

  • Gaia Collaboration et al. (2016): Description of the Gaia mission (spacecraft, instruments, survey and measurement principles, and operations);
  • Gaia Collaboration et al. (2018b): Summary of the contents and survey properties.

GAIA DR1

  • Gaia Collaboration et al. (2016b): Description of the Gaia mission (spacecraft, instruments, survey and measurement principles, and operations);
  • Gaia Collaboration et al. (2016a): Summary description of Gaia DR1.

Tess input Catalog

The TESS Input Catalog (TIC) is a catalog of stars that are observed by the TESS mission. This catalog is queried as part of our automatic data induction pipeline for new spectra/stars. We pull values from stellar effective temperature, log value of the surface gravity, mass, and radius. These values are available in the ExploreData page's table.

ESA Sky

We have links to view the stars in our data set using ESA Sky. Click on the right ascension and declination values in the ExploreData page's table to view the star in ESA Sky.

  • This research has made use of ESASky, developed by the ESAC Science Data Centre (ESDC) team and maintained alongside other ESA science mission's archives at ESA's European Space Astronomy Centre (ESAC, Madrid, Spain).
  • Giordano, F. et. al. (2018) A&C, 24, 97 and Baines, D. et. al. (2017) PASP, 129, 028001

Hypatia Catalog

The HypatiaCatalog is the sibling website and inspiration for SpExoDisks. The HypatiaCatalog team provided insight for how to display data, provide astronomy community oriented tools, as well as advices about lessons learned over years of updates and improvements to their website. HypatiaCatalog and SpExoDisks both share some common data science tools with the package autostar which does automatic name cross-matching and local database construction using query results from SIMBAD, Gaia, and TIC databases. All these services share a common developer, Caleb Wheeler, who believes that astronomy data should be free and provided with tools that make the data accessible to everyone.