1,354,992 research outputs found
Mr. Pickrell
No full textPortrait (head-and-shoulders) of a man, identified as Mr. Pickrell, facing righ
Pickrell Portrait
No full textThis image is a portrait of Pickrell (First name is unknown) from the Westminster College Football team. His position is not listed and the year is unknown. The photograph is in excellent condition
Gene Pickrell Portrait
No full textThis image is a portrait of Gene Pickrell for the Football Team at Westminster College. His position on the team and the year is unidentified. The photograph is in excellent condition
Type I Interferon Response Is Mediated by NLRX1-cGAS-STING Signaling in Brain Injury
No full textWestern blot analysis tif. files for "Type I Interferon Response Is Mediated by NLRX1-cGAS-STING Signaling in Brain Injury" Fritsch et al. 2022 Frontiers in Molecular Neuroscienc
PINK1/Parkin Influences Cell Cycle by Sequestering TBK1 at Damaged Mitochondria Inhibiting Mitosis
No full textThis data is the western blot data for Sarraf, Sideris et al. "PINK1/Parkin Influences Cell Cycle by Sequestering TBK1 at Damaged Mitochondria Inhibiting Mitosis
A matrix Bougerol identity and the Hua-Pickrell measures
No full textWe prove a Hermitian matrix version of Bougerol's identity. Moreover, we construct the Hua-Pickrell measures on Hermitian matrices, as stochastic integrals with respect to a drifting Hermitian Brownian motion and with an integrand involving a conjugation by an independent, matrix analogue of the exponential of a complex Brownian motion with drift
Explicit expressions of the Hua-Pickrell semi-group
No full textA paraitre dans Theory of Probability and its ApplicationsIn this paper, we study the one-dimensional Hua-Pickrell diffusion. We start by revisiting the stationary case considered by E. Wong for which we supply omitted details and write down a unified expression of its semi-group density through the associated Legendre function in the cut. Next, we focus on the general (not necessarily stationary) case for which we prove an intertwining relation between Hua-Pickrell diffusions corresponding to different sets of parameters. Using Cauchy Beta integral on the one hand and Girsanov's Theorem on the other hand, we discuss the connection between the stationary and general cases. Afterwards, we prove our main result providing novel integral representations of the Hua-Pickrell semi-group density, answering a question raised by Alili, Matsumoto and Shiraishi (S\'eminaire de Probabilit\'es, 35, 2001). To this end, we appeal to the semi-group density of the Maass Laplacian and extend it to purely-imaginary values of the magnetic field. In the last section, we use the Karlin-McGregor formula to derive an expression of the semi-group density of the multi-dimensional Hua-Pickrell particle system introduced by T. Assiotis
A Henderson Petawatt Laser Data (Texas Petawatt Laser Facility)
No full textThis dataset is for the petawatt laser experiments performed by Alexander Henderson and others at the Texas Petawatt Laser Facility for completion of his doctoral dissertation at Rice University, with permission.The dataset is submitted by Mark Pickrell in conjunction with an article entitled "Composite matter/antimatter hadron structure confirmed."</p
INFINITE DETERMINANTAL MEASURES AND THE ERGODIC DECOMPOSITION OF INFINITE PICKRELL MEASURES
No full text95 pagesThe main result of this paper, Theorem 1.11, gives an explicit description of the ergodic decomposition for infinite Pickrell measures on spaces of infinite complex matrices. The main construction is that of sigma-finite analogues of determinantal measures on spaces of configurations. An example is the infinite Bessel point process, the scaling limit of sigma-finite analogues of Jacobi orthogonal polynomial ensembles. The statement of Theorem 1.11 is that the infinite Bessel point process (subject to an appropriate change of variables) is precisely the ergodic decomposition measure for infinite Pickrell measures
INFINITE DETERMINANTAL MEASURES AND THE ERGODIC DECOMPOSITION OF INFINITE PICKRELL MEASURES
No full text95 pagesThe main result of this paper, Theorem 1.11, gives an explicit description of the ergodic decomposition for infinite Pickrell measures on spaces of infinite complex matrices. The main construction is that of sigma-finite analogues of determinantal measures on spaces of configurations. An example is the infinite Bessel point process, the scaling limit of sigma-finite analogues of Jacobi orthogonal polynomial ensembles. The statement of Theorem 1.11 is that the infinite Bessel point process (subject to an appropriate change of variables) is precisely the ergodic decomposition measure for infinite Pickrell measures
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