The XMM-SERVS Survey
XMM-SERVS is a 13 deg2 XMM-Newton survey at 50 ks depth of
three prime sky regions: the W-CDF-S (wide CDF-S), XMM-LSS, and ELAIS-S1
fields as defined by the Spitzer Extragalactic Representative Volume
Survey (SERVS).
These are the best multiwavelength regions within the LSST Deep-Drilling Fields.
The XMM-SERVS survey allows outstanding studies of ≈ 10,200 AGNs
and many X-ray groups/clusters by leveraging multiple intensive
radio-to-UV surveys including the following:
ATLAS,
MIGHTEE,
HerMES,
SERVS,
VIDEO,
VEILS,
DES,
SUMIRE-HSC,
PS1MD,
VOICE,
H20,
CSI,
DEVILS, and
PRIMUS. See this
table
for some summary details. XMM-SERVS can also be powerfully combined with other
similar surveys, such as COSMOS and the Chandra Deep Wide-Field Survey (CDWFS).
We aim to advance dramatically studies of supermassive black hole (SMBH) growth
across the full range of cosmic environments, links between SMBH accretion
and star formation, exceptional AGNs at high redshifts, protoclusters, and
multiple other topics.
The targeted XMM-SERVS fields will have extraordinary legacy value as
MOONS,
PFS, and
4MOST
fields for massive spectroscopic follow-up;
prime TolTEC and
ALMA fields;
DES/LSST
Deep-Drilling Fields; and
SDSS-V and
4MOST
reverberation-mapping fields.
XMM-Newton observations for all three fields have been completed and cataloged, and
we are now working on performing science projects in these fields.
Research Papers Based on All XMM-SERVS Fields
-
Spectral Energy Distributions in Three Deep-Drilling Fields of the
Vera C. Rubin Observatory Legacy Survey of Space and Time: Source
Classification and Galaxy Properties
-
Data products on Zenodo
Zou F., Brandt W.N., Chen C.-T., Leja J., Ni Q., Yan W.,
Yang G., Zhu S., Luo B., Nyland K., Vito F., Xue Y.,
2022, ApJS, 15, #41
-
Radio AGN Selection and Characterization in Three Deep-Drilling Fields
of the Vera C. Rubin Observatory Legacy Survey of Space and Time
-
Data products - Full versions of Tables 3, 4, 6, and B1 (tar file; machine readable)
Zhu S.F., Brandt W.N., Zou F., Luo B., Ni Q., Xue Y., Yan W.,
2023, MNRAS, 522, 3506
-
Identification and Characterization of a Large Sample of Distant Active
Dwarf Galaxies in XMM-SERVS
-
FastHR - A Python tool that efficiently estimates hardness ratios for X-ray sources (see Appendix A)
Zou F., Brandt W.N., Ni Q., Zhu S., Alexander D.M.,
Bauer F.E., Chen C.-T., Luo B., Sun M., Vignali C., Vito F.,
Xue Y., Yan W.,
2023, ApJ, 950, #136
-
The Most-Obscured AGNs in the XMM-SERVS Fields
-
Data products - Data tables for heavily obscured and Compton-thick AGNs (machine readable)
Yan W., Brandt W.N., Zou F., Zhu S., Chen C.-T., Hickox R.C.,
Luo B., Ni Q., Alexander D.M., Bauer F.E., Vignali C., Vito F.,
2023, ApJ, 951, #27
-
Investigating the Star Formation Rates of Active Galactic Nucleus
Hosts Relative to the Star-forming Main Sequence
Cristello N., Zou F., Brandt W.N., Chen C.-T., Leja J., Ni Q., Yang G.,
2024, ApJ, 962, #156
-
Mapping the Growth of Supermassive Black Holes as a Function of Galaxy Stellar Mass and Redshift
-
Data products - Conditional probability maps, parameter maps, and BHAR maps (machine readable)
Zou F., Yu Z., Brandt W.N., Tak H., Yang G., Ni Q.,
2024, ApJ, 964, #183
-
Dust-Obscured Galaxies in the XMM-SERVS Fields: Selection, Multiwavelength
Characterization, and Physical Nature
Yu Z., Brandt W.N., Zou F., Zhu Z., Bauer F.E., Cristello N., Luo B.,
Ni Q., Vito F., Xue Y.,
2024, ApJ, in press
-
Investigating the Star-Formation Characteristics of Radio Active Galactic Nuclei
-
Main data file (machine readable)
Zhang B., Zou F., Brandt W.N., Zhu S., Cristello N., Ni Q., Xue Y., Yu Z.,
2024, ApJ, in press
Resources for the XMM-LSS Field
-
The XMM-SERVS Survey: New XMM-Newton Point-Source Catalog for
the XMM-LSS Field
-
Zenodo link to the data products - Sky images, background images, exposure maps, postage-stamp images, data tables (tar file; machine readable)
Chen C.-T.J., Brandt W.N., Luo B., Ranalli P., Yang G.,
Alexander D.M., Bauer F.E., Kelson D.D., Lacy M., Nyland K.,
Tozzi P., Vito F., Cirasuolo M., Gilli R., Jarvis M.J., Lehmer B.D.,
Paolillo M., Schneider D.P., Shemmer O., Smail I., Sun M., Tanaka M.,
Vaccari M., Vignali C., Xue Y.Q., Banerji M., Chow K.E., Haussler B.,
Norris R.P., Silverman J.D., Trump J.R.,
2018, MNRAS, 478, 2132-2163
Resources for the W-CDF-S and ELAIS-S1 Fields
-
Deep Hyper Suprime-Cam Images and a Forced Photometry Catalog in W-CDF-S
-
Data products - Coadded images, image masks, weight maps, catalogs, etc. (tar files; machine readable)
Ni Q., Timlin J., Brandt W.N., Yang G.,
2018, RNAAS, 3, #5
-
A Multi-Band Forced-Photometry Catalog in the ELAIS-S1 Field
-
Data products - Photometry catalog (machine readable)
Zou F., Brandt W.N., Lacy M., Ni Q., Nyland K., Yang G.,
Bauer F.E., Covone G., Grado A., Napolitano N.R., Paolillo M.,
Radovich M., Spavone M., Vaccari M.,
2021, RNAAS, 5, #31
-
Photometric Redshifts in the W-CDF-S and ELAIS-S1 Fields Based
on Forced Photometry from 0.36-4.5 Microns
-
Data products - Photometric-redshift catalog (machine readable)
Zou F., Yang G., Brandt W.N., Ni Q., Bauer F.E., Covone G., Lacy M.,
Napolitano N.R., Nyland K., Paolillo M., Radovich M., Spavone M., Vaccari M.,
2021, RNAAS, 5, #56
-
The XMM-SERVS Survey: XMM-Newton Point-Source Catalogs for the W-CDF-S
and ELAIS-S1 Fields
-
Data products - Sky images, background images, exposure maps, data tables (tar file; machine readable)
Ni Q., Brandt W.N., Chen C.-T., Luo B., Nyland K., Yang G., Zou F.,
Aird J., Alexander D.M., Bauer F.E., Lacy M., Lehmer B.D., Mallick L.,
Salvato M., Schneider D.P., Tozzi P., Traulsen I., Vaccari M., Vignali C.,
Vito F., Xue Y., Banerji M., Chow K., Comastri A., Del Moro A., Gilli R.,
Mullaney J., Paolillo M., Schwope A., Shemmer O., Sun M., Timlin J.D.,
Trump J.R.,
2021, ApJS, 256, #21
Other Relevant Information
YouTube recording of an XMM-SERVS overview talk from 2023 June
Penn State press release of 2021 June 7
Pretty XMM-Newton images of the XMM-SERVS fields (gzipped tar file)
Additional Relevant Pages
Chandra Deep Field-South Results
Extended Chandra Deep Field-South Results
Contact Information
Niel Brandt (Penn State),
Chien-Ting Chen (MSFC),
Bin Luo (Nanjing),
Qingling Ni (MPE),
Zhibo Yu (Penn State), and
Fan Zou (Univ. of Michigan)
for the XMM-SERVS Team.
You can email wnbrandt(at)gmail.com with any questions.