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Featured researches published by Patrick S. Broos.


Space Science Reviews | 2005

The Swift Ultra-Violet/Optical Telescope

Peter W. A. Roming; Thomas E. Kennedy; Keith O. Mason; John A. Nousek; Lindy Ahr; Richard E. Bingham; Patrick S. Broos; Mary J. Carter; Barry K. Hancock; Howard E. Huckle; Sally D. Hunsberger; Hajime Kawakami; Ronnie Killough; T. Scott Koch; Michael K. McLelland; Kelly Smith; Philip J. Smith; Juan Carlos Soto; Patricia Therese Boyd; Alice A. Breeveld; Stephen T. Holland; M. V. Ivanushkina; Michael S. Pryzby; Martin D. Still; Joseph Stock

The Ultra-Violet/Optical Telescope (UVOT) is one of three instruments flying aboard the Swift Gamma-ray Observatory. It is designed to capture the early (∼1 min) UV and optical photons from the afterglow of gamma-ray bursts in the 170–600 nm band as well as long term observations of these afterglows. This is accomplished through the use of UV and optical broadband filters and grisms. The UVOT has a modified Ritchey–Chrétien design with micro-channel plate intensified charged-coupled device detectors that record the arrival time of individual photons and provide sub-arcsecond positioning of sources. We discuss some of the science to be pursued by the UVOT and the overall design of the instrument.


Monthly Notices of the Royal Astronomical Society | 2007

Photometric calibration of the Swift ultraviolet/optical telescope

T. S. Poole; Alice A. Breeveld; M. J. Page; Wayne B. Landsman; S. T. Holland; P. W. A. Roming; N. P. M. Kuin; Peter J. Brown; Caryl Gronwall; Sally D. Hunsberger; S. Koch; K. O. Mason; Patricia Schady; D. E. Vanden Berk; Alexander J. Blustin; P. T. Boyd; Patrick S. Broos; Michael P. Carter; Margaret Chester; A. Cucchiara; Bruce R. Hancock; H. E. Huckle; Stefan Immler; M. V. Ivanushkina; Tracy L. M. Kennedy; F. E. Marshall; Adam N. Morgan; S. B. Pandey; M. De Pasquale; Penelope Smith

We present the photometric calibration of the Swift Ultraviolet/Optical Telescope (UVOT) which includes: optimum photometric and background apertures, effective area curves, colour transformations, conversion factors for count rates to flux and the photometric zero-points (which are accurate to better than 4 per cent) for each of the seven UVOT broad-band filters. The calibration was performed with observations of standard stars and standard star fields that represent a wide range of spectral star types. The calibration results include the position-dependent uniformity, and instrument response over the 1600‐8000 A operational range. Because the UVOT is a photon-counting instrument, we also discuss the effect of coincidence loss on the calibration results. We provide practical guidelines for using the calibration in UVOT data analysis. The results presented here supersede previous calibration results.


The Astrophysical Journal | 2001

The Chandra Deep Survey of the Hubble Deep Field-North Area. II. Results from the Caltech Faint Field Galaxy Redshift Survey Area*

Ann Elizabeth Hornschemeier; W. N. Brandt; Gordon Garmire; Donald P. Schneider; Amy J. Barger; Patrick S. Broos; Lennox L. Cowie; Leisa K. Townsley; Marshall W. Bautz; David N. Burrows; G. Chartas; E. D. Feigelson; Richard E. Griffiths; David H. Lumb; John A. Nousek; Larry Ramsey; Wallace L. W. Sargent

A deep X-ray survey of the Hubble Deep Field-North (HDF-N) and its environs is performed using data collected by the Advanced CCD Imaging Spectrometer (ACIS) on board the Chandra X-Ray Observatory. Currently a 221.9 ks exposure is available, the deepest ever presented, and here we give results on X-ray sources located in the 86 × 87 area covered by the Caltech Faint Field Galaxy Redshift Survey (the Caltech area). This area has (1) deep photometric coverage in several optical and near-infrared bands; (2) extensive coverage at radio, submillimeter, and mid-infrared wavelengths; and (3) some of the deepest and most complete spectroscopic coverage ever obtained. It is also where the X-ray data have the greatest sensitivity; the minimum detectable fluxes in the 0.5-2 keV (soft) and 2-8 keV (hard) bands are ≈1.3 × 10-16 and ≈6.5 × 10-16 ergs cm-2 s-1, respectively. More than ≈80% of the extragalactic X-ray background in the hard band is resolved. The 82 Chandra sources detected in the Caltech area are correlated with more than 25 multiwavelength source catalogs, and the results of these correlations as well as spectroscopic follow-up results obtained with the Keck and Hobby-Eberly Telescopes are presented. All but nine of the Chandra sources are detected optically with R 26.5. Redshifts are available for 39% of the Chandra sources, including 96% of the sources with R 5.0) objects. A total of 16 of the 67 1.4 GHz μJy sources in the Caltech area are detected in the X-ray band, and the detection rates for starburst-type and AGN-candidate μJy sources are comparable. Only two of the 17 red, optically faint (I > 25) μJy sources are detected in X-rays. While many of the starburst-type μJy sources appear to contain obscured active galactic nuclei (AGNs), the Chandra data are consistent with the majority of the μJy radio sources being powered by star formation. A total of 11 of the ≈100 ISO mid-infrared sources found in and near the HDF-N are detected in X-rays. In the HDF-N itself, where both the infrared coverage and the X-ray coverage are deepest, it is notable that six of the eight Chandra sources are detected by ISO; most of these are known to be AGNs where the X-ray and infrared detections reveal both the direct and indirect accretion power being generated. The high X-ray-to-infrared matching rate bodes well for future sensitive infrared observations of faint X-ray sources. Four of the 33 very red objects that have been identified in the Caltech area are detected in X-rays; these four are among our hardest Chandra sources, and we argue that they contain moderately luminous obscured AGNs. Overall, however, the small Chandra detection fraction suggests a relatively small AGN content in the optically selected very red object population. A stacking analysis of the very red objects not detected individually by Chandra yields a soft-band detection with an average soft-band X-ray flux of ≈1.9 × 10-17 ergs cm-2 s-1; the observed emission may be associated with the hot interstellar media of moderate-redshift elliptical galaxies. Constraints on AGN candidates, extended X-ray sources, and Galactic objects in the Caltech area are also presented.


Astrophysical Journal Supplement Series | 2005

Chandra Orion Ultradeep Project: Observations and Source Lists

Konstantin V. Getman; E. Flaccomio; Patrick S. Broos; N. Grosso; Masahiro Tsujimoto; Leisa K. Townsley; Gordon Garmire; Joel H. Kastner; Jingqiang Li; Frank Harnden; Scott J. Wolk; Stephen S. Murray; Charles J. Lada; August Albert Muench; Mark J. McCaughrean; Gwendolyn Meeus; F. Damiani; G. Micela; S. Sciortino; John Bally; Lynne A. Hillenbrand; William Herbst; Thomas Preibisch; Eric D. Feigelson

We present a description of the data reduction methods and the derived catalog of more than 1600 X-ray point sources from the exceptionally deep 2003 January Chandra X-Ray Observatory (Chandra) observation of the Orion Nebula Cluster and embedded populations around OMC-1. The observation was obtained with Chandras Advanced CCD Imaging Spectrometer (ACIS) and has been nicknamed the Chandra Orion Ultradeep Project (COUP). With an 838 ks exposure made over a continuous period of 13.2 days, the COUP observation provides the most uniform and comprehensive data set on the X-ray emission of normal stars ever obtained in the history of X-ray astronomy.


The Astronomical Journal | 2001

The Chandra Deep Field North Survey. V. 1 Ms Source Catalogs

W. N. Brandt; D. M. Alexander; Ann Elizabeth Hornschemeier; Gordon Garmire; Donald P. Schneider; Amy J. Barger; F. E. Bauer; Patrick S. Broos; L. L. Cowie; Leisa K. Townsley; David N. Burrows; G. Chartas; E. D. Feigelson; Richard E. Griffiths; John A. Nousek; Wallace L. W. Sargent

An extremely deep X-ray survey (≈1 Ms) of the Hubble Deep Field North (HDF-N) and its environs (≈450 arcmin2) has been performed with the Advanced CCD Imaging Spectrometer on board the Chandra X-Ray Observatory. This is one of the two deepest X-ray surveys ever performed; for point sources near the aim point, it reaches 0.5–2.0 and 2–8 keV flux limits of ≈3 × 10-17 and ≈2 × 10-16 ergs cm-2 s-1, respectively. Here we provide source catalogs, along with details of the observations, data reduction, and technical analysis. Observing conditions, such as background, were excellent for almost all of the exposure. We have detected 370 distinct point sources: 360 in the 0.5–8.0 keV band, 325 in the 0.5–2.0 keV band, 265 in the 2–8 keV band, and 145 in the 4–8 keV band. Two new Chandra sources in the HDF-N itself are reported and discussed. Source positions are accurate to within 06–17 (at ≈90% confidence), depending mainly on the off-axis angle. We also detect two highly significant extended X-ray sources and several other likely extended X-ray sources. We present basic number count results for sources located near the center of the field. Source densities of 7100 deg-2 (at 4.2 × 10-17 ergs cm-2 s-1) and 4200 deg-2 (at 3.8 × 10-16 ergs cm-2 s-1) are observed in the soft and hard bands, respectively.


The Astrophysical Journal | 2010

INNOVATIONS IN THE ANALYSIS OF CHANDRA-ACIS OBSERVATIONS

Patrick S. Broos; Leisa K. Townsley; Eric D. Feigelson; Konstantin V. Getman; F. E. Bauer; Gordon Garmire

As members of the instrument team for the Advanced CCD Imaging Spectrometer (ACIS) on NASAs Chandra X-ray Observatory and as Chandra General Observers, we have developed a wide variety of data analysis methods that we believe are useful to the Chandra community, and have constructed a significant body of publicly available software (the ACIS Extract package) addressing important ACIS data and science analysis tasks. This paper seeks to describe these data analysis methods for two purposes: to document the data analysis work performed in our own science projects and to help other ACIS observers judge whether these methods may be useful in their own projects (regardless of what tools and procedures they choose to implement those methods). The ACIS data analysis recommendations we offer here address much of the workflow in a typical ACIS project, including data preparation, point source detection via both wavelet decomposition and image reconstruction, masking point sources, identification of diffuse structures, event extraction for both point and diffuse sources, merging extractions from multiple observations, nonparametric broadband photometry, analysis of low-count spectra, and automation of these tasks. Many of the innovations presented here arise from several, often interwoven, complications that are found in many Chandra projects: large numbers of point sources (hundreds to several thousand), faint point sources, misaligned multiple observations of an astronomical field, point source crowding, and scientifically relevant diffuse emission.


The Astrophysical Journal | 2003

A Deep Chandra Catalog of X-Ray Point Sources toward the Galactic Center

Michael P. Muno; F. K. Baganoff; Marshall W. Bautz; W. N. Brandt; Patrick S. Broos; E. D. Feigelson; Gordon Garmire; Mark R. Morris; George R. Ricker; L. K. Townsley

(abridged) We present a catalog of 2357 point sources detected during 590 ks of Chandra observations of the 17-by-17 arcminute field around Sgr A*. This field encompasses a physical area of 40 by 40 pc at a distance of 8 kpc. The completeness limit of the sample at the Galactic center is 10^{31} erg s^{-1} (2.0--8.0 keV), while the detection limit is an order of magnitude lower. The 281 sources detected below 1.5 keV are mainly in the foreground of the Galactic center, while comparisons to the Chandra deep fields at high Galactic latitudes suggest that only about 100 of the observed sources are background AGN. The surface density of absorbed sources (not detected below 1.5 keV) falls off as 1/theta away from Sgr A*, in agreement with the distribution of stars in infrared surveys. Point sources brighter than our completeness limit produce 10% of the flux previously attributed to diffuse emission. The log(N)-log(S) distribution of the Galactic center sources is extremely steep (power-law slope alpha = 1.7). If this distribution extends down to a flux of 10^{-17} erg cm^{-1} s^{-1} (10^{29} erg s^{-1} at 8 kpc, 2.0--8.0 keV) with the same slope, then point sources would account for all of the previously reported diffuse emission. Therefore, the 2.0--8.0 keV luminosity distribution must flatten between 10^{29} - 10^{31} erg s^{-1}. Finally, the spectra of more than half of the Galactic center sources are very hard, and can be described by a power law (


The Astrophysical Journal | 2003

10 MK Gas in M17 and the Rosette Nebula: X-Ray Flows in Galactic H II Regions

Leisa K. Townsley; Eric D. Feigelson; Thierry Montmerle; Patrick S. Broos; You-Hua Chu; Gordon Garmire

E^{-Gamma}) with photon index Gamma < 1. Such hard spectra have been seen previously only from magnetically accreting white dwarfs and wind-accreting neutron stars, suggesting that there are large numbers of these systems in our field.


The Astrophysical Journal | 2000

Mitigating Charge Transfer Inefficiency in the Chandra X-Ray Observatory Advanced CCD Imaging Spectrometer

L. K. Townsley; Patrick S. Broos; Gordon Garmire; John A. Nousek

We present the first high spatial resolution X-ray images of two high-mass star forming regions, the Omega Nebula (M17) and the Rosette Nebula (NGC 2237-2246), obtained with the Chandra X-Ray Observatory Advanced CCD Imaging Spectrometer instrument. The massive clusters powering these H II regions are resolved at the arcsecond level into more than 900 (M17) and 300 (Rosette) stellar sources similar to those seen in closer young stellar clusters. However, we also detect soft diffuse X-ray emission on parsec scales that is spatially and spectrally distinct from the point-source population. The diffuse emission has luminosity LX 3.4 × 1033 ergs s-1 in M17 with plasma energy components at kT 0.13 and 0.6 keV (1.5 and 7 MK), while in Rosette it has LX 6 × 1032 ergs s-1 with plasma energy components at kT 0.06 and 0.8 keV (0.7 and 9 MK). This extended emission most likely arises from the fast O star winds thermalized either by wind-wind collisions or by a termination shock against the surrounding media. We establish that only a small portion of the wind energy and mass appears in the observed diffuse X-ray plasma; in these blister H II regions, we suspect that most of it flows without cooling into the low-density interstellar medium. These data provide compelling observational evidence that strong wind shocks are present in H II regions.


The Astronomical Journal | 2001

The Chandra Deep Survey of the Hubble Deep Field North Area. IV. An Ultradeep Image of the HDF-N

W. N. Brandt; Ann Elizabeth Hornschemeier; D. M. Alexander; Gordon Garmire; Donald P. Schneider; Patrick S. Broos; Leisa K. Townsley; Marshall W. Bautz; E. D. Feigelson; Richard E. Griffiths

The ACIS front-illuminated CCDs on board the Chandra X-Ray Observatory were damaged in the extreme environment of the Earths radiation belts, resulting in enhanced charge transfer inefficiency (CTI). This produces a row dependence in gain, event grade, and energy resolution. We model the CTI as a function of input photon energy, including the effects of detrapping (charge trailing), shielding within an event (charge in the leading pixels of the 3x3 event island protects the rest of the island by filling traps), and nonuniform spatial distribution of traps. This technique cannot fully recover the degraded energy resolution, but it reduces the position dependence of gain and grade distributions. By correcting the grade distributions as well as the event amplitudes, we can improve the instruments quantum efficiency. We outline our model for CTI correction and discuss how the corrector can improve astrophysical results derived from ACIS data.

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Leisa K. Townsley

Pennsylvania State University

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Gordon Garmire

Pennsylvania State University

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Konstantin V. Getman

Pennsylvania State University

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Eric D. Feigelson

Pennsylvania State University

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E. D. Feigelson

Pennsylvania State University

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John A. Nousek

Pennsylvania State University

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W. N. Brandt

Pennsylvania State University

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M. V. Ivanushkina

Pennsylvania State University

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