Systems and methods for improving accuracy of test measurements involving aggressor tracks written to disks of hard disk drives

Information

  • Patent Grant
  • 9093122
  • Patent Number
    9,093,122
  • Date Filed
    Monday, June 24, 2013
    11 years ago
  • Date Issued
    Tuesday, July 28, 2015
    9 years ago
Abstract
Systems and methods for improving the accuracy of test measurements involving aggressor tracks written to the disks are provided. One such method involves erasing a circumferential band of a disk, writing a central track on the circumferential band, measuring and storing a first track profile of the central track, writing an aggressor track on each side of the central track at a preselected aggressor track offset from the central track, measuring and storing a track profile of the aggressor tracks at the preselected aggressor track offset, measuring and storing a second track profile of the central track, performing the prior actions exactly n times where n is greater than or equal to 1, determining an estimated distance between the aggressor tracks based on the respective track profiles, determining a selected measurement using the estimated distance between the aggressor tracks, and the first and second track profiles of the central track.
Description
FIELD

The present invention relates generally to measurements of disks of a hard disk drive (HDD), and more specifically to systems and methods for improving the accuracy of test measurements involving aggressor tracks written to the disks.


BACKGROUND

Spin stand testing systems (spinstands) are used for multiple purposes with respect to HDD disks, including disk characterization, testing, and development. In order to perform such operations, the systems need to provide accurate and precise positioning of read-write heads at various track offsets for the purposes of reading and writing to disks. Additionally, though most measurements on a spinstand write at offset 0, certain measurements can also involve accurate and precise positioning of the head at off-track positions for writing. Accordingly, positioning of a head for spinstands is facilitated by using a servo in combination with servo marks (also known as “servo patterns”) in a closed-loop system. The servo marks are written in small sectors on each disk and are used to accurately position the head at different read or write offsets.


Unfortunately, the quality of the servo patterns can greatly affect the repeatability of some essential measured results from spinstands. In general, the head positioning of a conventional servo in a spinstand (e.g., from Guzik Technical Enterprises of Mountain View, Calif.) varies over a range of read or write offsets and is not repeatable from servo-to-servo write. Furthermore, though approaches to improve head positioning accuracy have been developed (e.g., Guzik Servo Improvement Package), these solutions can suffer from drawbacks such as mechanical limitations that limit accuracy and a significant increase in operation time of the spinstand.


Many recording measurements involving a spinstand use a sequence like (1) write a central track, (2) write additional “aggressor” tracks at off track locations, and (3) assess how much the central track has changed. A servo pattern written on the disk before a sequence of tests is used to position the head at the desired radial location. However, this servo pattern is not perfect. There are variations from one writing of the servo to the next. In addition, the servo system may have a minimum step size which limits where the head can be positioned. Both of these problems degrade the accuracy for writing the “aggressor” tracks at precisely the desired location.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a top schematic view of a spin stand testing system configured to obtain accurate test measurements involving aggressor tracks written on a disk in accordance with one embodiment of the invention.



FIG. 2 is a flow chart of a process for obtaining accurate test measurements involving aggressor tracks written on a disk in accordance with one embodiment of the invention.



FIG. 3 is a top schematic view of a disk having a central test track written initially and aggressor tracks written adjacent to the central track later, where the disk has been divided into sectors to increase process efficiency, in accordance with one embodiment of the invention.



FIG. 4 is a table illustrating disk sectors numbers and radial offsets for a central test track and various aggressor tracks written at preselected offset positions relative to the central track in accordance with one embodiment of the invention.



FIG. 5 is a graph illustrating an example of measured track profiles including an original central test track, residual tracks, and aggressor tracks in accordance with one embodiment of the invention.



FIG. 6 is a graph illustrating a squeeze test measurement as a function of the distance between aggressor tracks in accordance with one embodiment of the invention.



FIG. 7 is a graph illustrating squeeze test measurement data acquired on a commercial spinstand in a series of repeated measurements with ten servo writes in accordance with one embodiment of the invention.





DETAILED DESCRIPTION

Embodiments of systems and methods described herein can substantially improve the accuracy of measurements that involve aggressor track writes in two ways. First, the systems and methods described herein can measure the actual location where the aggressor tracks were written. Present measurements just request the desired location and assume it has been achieved accurately. Using the techniques disclosed here one can determine precisely where these tracks were written, not just where they were intended to be written. Second, in the systems and methods described herein, the aggressors tracks can be written at several off-track locations, both closer and further away than desired from the central track. This gives data over a range of aggressor track locations which can be interpolated to the desired aggressor track location.


In several instances, the systems and methods are described herein in relation to a squeeze measurement. However, the same concepts can be applied to other measurements that involve off-track aggressor track writing such as magnetic track width measurements (MTW), signal to noise measurements (e.g., wsSNRfinal), error margin measurements (e.g., EMfinal), shingled error margin measurements (ShEM), and other suitable measurements.



FIG. 1 is a top schematic view of a spin stand testing system 100 configured to obtain accurate test measurements involving aggressor tracks written on a disk in accordance with one embodiment of the invention. The spin stand testing system 100 includes a disk 102 and a positioning device 104. The disk 102 is representative of a magnetic recording disk that would be used in a hard disk drive and is configured to rotate around an axis at a variable rotation rate. The positioning device 104 secures a head gimbal assembly (HGA) 106 that includes a head 108. The HGA 106 also includes a microactuator 109 that is configured to laterally translate a read sensor of the head 108, for instance, by translating the entire head 108 as shown, or by translating just a transducer of the head 108 that includes the read sensor.


The positioning device 104 is configured to position the head 108 to a desired position on the disk 102, for example, with a combination of coarse and fine positioners for translating the HGA 106. As shown in FIG. 1, the positioning device 104 includes both coarse and fine positioners. The coarse positioning of the head 108 is performed by two platforms on orthogonal rail systems, while the fine positioning is performed by a secondary mover 122.


Turning first to the coarse positioners, the HGA 106 is secured to a base 110 on a first platform 112. The first platform 112 includes a set of rails 114 upon which the base 110 can move back and forth in a first direction relative to the first platform 112. A motor (not shown) is one example of a mechanism for driving the base 110 relative to the first platform 112. Similarly, the positioning device 104 also has a second platform 116 including a set of rails 118. In this embodiment the first platform 112 is configured to move upon the rails 118 relative to the second platform 116 in a second direction.


By moving the base 110 relative to the first platform 112, and by moving the first platform 112 relative to the second platform 116, the head 108 can be positioned at a desired disk radius, r, and skew angle, a (an angle formed between a longitudinal axis of the HGA 106 and a tangent to a radial line through the head 108). It will be appreciated, however, that various types of coarse positioning means, and not just that employed by the positioning device 104 to move the base 110 relative to the disk 102, may be used in accordance with embodiments of the invention.


In addition to the orthogonal rail system for coarse positioning, the positioning device 104 also includes the secondary mover 122. The secondary mover 122 provides a finer positioning capability in a lateral direction than is provided by the orthogonal rail system. The secondary mover 122 provides fine positioning, for example, through the use of an actuator based on a piezoelectric material. Preferably, the secondary mover 122 is able to move the head 108 in steps that are on the order of a micro-inch or less.


The positioning device 104 further includes a processor 124 that may be electrically coupled to the head 108, the microactuator 109, the secondary mover 122, and the coarse and fine positioners. The processor 124 can include a memory configured to store information such as instructions to be executed on the processor 124 or other information. In some embodiments, the memory is integrated with processor 124. In other embodiments, the memory is not integrated with processor 124. The processor 124 is configured to execute instructions for operating the spin stand testing system 100.


In this context, the processor 124 refers to any machine or selection of logic that is capable of executing a sequence of instructions and should be taken to include, but not limited to, general purpose microprocessors, special purpose microprocessors, central processing units (CPUs), digital signal processors (DSPs), application specific integrated circuits (ASICs), signal processors, microcontrollers, and other suitable circuitry. Further, it should be appreciated that the term processor, microprocessor, circuitry, controller, and other such terms, refer to any type of logic or circuitry capable of executing logic, commands, instructions, software, firmware, functionality, or other such information.



FIG. 2 is a flow chart of a process 200 for obtaining accurate test measurements involving aggressor tracks written on a disk in accordance with one embodiment of the invention. In particular embodiments, the process 200 can be executed on the spin stand test system 100 of FIG. 1, and more specifically, on the processor 124 of FIG. 1.


FIG. 2—Block 202:


The process first erases a circumferential band of a disk in block 202. In several embodiments, the process can erase a range of write offsets to be used in the process.


FIG. 2—Block 204:


The process then writes a central track on the circumferential band of the disk in block 204.


FIG. 2—Block 206:


The process then measures and stores a first track profile of the central track in block 206. In several embodiments, the process measures the amplitude as a function of radial offset at the central track to generate the first track profile of the central track.


FIG. 2—Block 208:


The process then writes an aggressor track on each side of the central track at a preselected aggressor track offset from the central track in block 208. In some embodiments, the process generates a list of off-track positions where the aggressor tracks will be written on each side of the central track. In one such embodiment for a squeeze measurement, two additional off-track locations are used on each side in addition to the location where the first aggressor track is intended to be written. For example, if squeeze is desired for aggressor tracks located at plus and/or minus a preselected desired offset (e.g., aggressor_offset0) from the central track location, the three values on one side will be offset1, offset2, and offset3, which are equal to <aggressor_offset0> plus or minus Npos multiplied by (piezo actuator step size) where Npos is an integer and <aggressor_offset0> is the discretized version of aggressor_offset0 in units of the piezo actuator step size. Similarly, the off-track locations for aggressors on the other side will be offset4, offset5, and offset6, which are equal to negative <aggressor_offset0> plus or minus Nneg multiplied by (piezo actuator step size), where Nneg is an integer.


In some embodiments, the process writes the aggressor tracks only to preselected sectors of the disk in block 208. In such case, the process can generate a list of preselected sectors for aggressor tracks and associate the sectors with the off-track locations for aggressor tracks. Examples of sector layouts that can be used are shown in FIG. 3 and FIG. 4.



FIG. 3 is a top schematic view of a disk 302 having a central test track 304 written initially and aggressor tracks (offs1, offs2, offs3, offs4, offs5, offs6) written adjacent to the central track 304 in select sectors later, where the disk has been divided into sectors (only 0 to 8 shown) to increase process efficiency, in accordance with one embodiment of the invention. In several embodiments, the disk 302 is divided up into about 128 sectors.



FIG. 4 is a table illustrating disk sectors numbers (0 to 127) and radial offsets for a central test track and various aggressor tracks written at preselected offset positions (offs1, offs2, offs3, offs4, offs5, offs6) relative to the central track in accordance with one embodiment of the invention. In several embodiments, the sectors, radial offsets and central track of FIG. 4 corresponds to those of FIG. 3. In FIG. 4, the aggressor track at offset “offs1” is written in sectors 0, 3, 6, 9, etc. Writing the aggressors at three radial locations on each side of the center track creates 3 by 3 squeeze configurations (e.g., nine possible combinations of aggressor track locations). One goal of the sector allocation is to maintain the independence of the nine squeeze measurements without making the measurement impractical from a test time point of view. In FIG. 4, the aggressor tracks are written at three off-track locations on the left side (offs1, offs2, offs3) and at three off-track locations on the right side (offs4, offs5, offs6). This sector allocation scheme (e.g., the one from sectors 0 to 8) is repeated in the downtrack direction until all the sectors in a revolution are filled. When reading the central track after the aggressor writes, certain sectors are associated with certain off-track aggressor write locations.


FIG. 2—Block 210:


Returning now to FIG. 2, the process then measures and stores a track profile of the aggressor tracks at the preselected aggressor track offset from the central track in block 210. In some embodiments, the process writes the aggressor tracks only to preselected sectors of the disk in block 208. In such case, the process measures and stores the track profile of the aggressor tracks at the preselected aggressor track offsets from the central track in the preselected sectors of the disk in block 210. In one such case, see for example the sectors of FIG. 4, the process also selects the preselected aggressor track offsets and the preselected sectors such that for a preselected group of the preselected sectors, each combination of the preselected aggressor track offsets for a particular sector are unique. In one embodiment, the preselected group of the preselected sectors is about 9 sectors (see for example sectors 0 to 8 in FIG. 4). In several embodiments, the sector combinations present in the preselected group of 9 sectors can be repeated for every 9 sectors up to sector 127 of the disk.


In several embodiments, the process measures and stores the track profile of the aggressor tracks at the preselected aggressor track offset from the central track in block 210 by performing a servo calibration procedure and thereby generating a read offset correction table, and applying the read offset correction table to the track profiles of the aggressor tracks thereby generating corrected track profiles of the aggressor tracks, where the process then determines the estimated distance between the aggressor tracks based on the respective track profiles based on the respective corrected track profiles in block 216, to be discussed in more detail below. In one such embodiment, the process performs the servo calibration procedure by writing a series of tracks over a range of read offsets to be calibrated, measuring a set of raw track profiles from the series of tracks, sampling the set of raw track profiles at a series of signal amplitude levels, constructing a reference track profile from the set of sampled track profiles, calculating a set of read offset deltas from each sampled track profile, and merging the sets of read offset deltas into a set of average read offset deltas stored in the read offset correction table. More details on the server calibration procedure can be found in U.S. patent application Ser. No. 13/115,307, entitled, “SYSTEM AND METHOD FOR IMPROVING HEAD POSITIONING”, the entire content of which is incorporated herein by reference. In some embodiments, the process performs the servo calibration procedure prior to erasing the circumference band of the disk in block 202.


FIG. 2—Block 212:


The process then measures and stores a second track profile of the central track in block 212. In several embodiments, the process generates a list of sectors for reading back the center track after the aggressor writes. For example and in reference to table of FIG. 4, to assess the damage created by the aggressor at offs1 (sectors 0, 3, 6, 9, . . . ) and the corresponding damage at offs4 (sectors 0, 1, 2, 9, 10, 11, . . . ), the algorithm can use the common sectors (0, 9, 18, . . . ). Similarly, to assess the damage created by the aggressor at offs1 (sectors 0, 3, 6, 9, . . . ) and the corresponding damage at offs5 (sectors 3, 4, 5, 12, 13, 14, . . . ), the algorithm can use the common sectors (3, 12, 21, . . . ).


FIG. 2—Block 214:


The process then performs blocks 202 through 212 exactly n times where n is greater than or equal to 1 in block 214. In one embodiment, n is greater than or equal to 2. In another embodiment such as that illustrated in FIG. 4, n is equal to or greater than 3 such that at least 3 iterations of blocks 202 through 212 are performed. In such case, the process can write aggressor tracks to the preselected sectors such that the process writes 1 sector for every 3 consecutive sectors on a first side of the central track, writes 3 consecutive sectors for every 9 consecutive sectors on a second side of the central track, and performs these two sector writes exactly 3 times at 3 different preselected aggressor track offsets. In one such case, the process can repeat these actions until all sectors around the disk have been written with the aggressor tracks. In other embodiments, other sector selection techniques can be used for choosing the sectors to write the aggressor tracks.


FIG. 2—Block 216:


The process then determines an estimated distance between the aggressor tracks based on the respective track profiles in block 216. In one embodiment, the process is applied for a squeeze measurement. In such case and in order to obtain the dependence of squeeze on the aggressor distance, an accurate assessment of the distance between aggressor tracks is needed. This goal can be achieved in two steps. First, the aggressor tracks are measured by means of track profiles in particular sectors established in the discussion of block 208 above. In one aspect, three track profiles (TPN1, TPN2, TPN3) are obtained at negative offsets, representing the aggressor tracks written at offs1, offs2, offs3, respectively, and similarly three track profiles (TPP1, TPP2, TPP3) are obtained at the positive offsets, representing the aggressor tracks written at offs4, offs5, offs6, respectively. An example of such measured track profiles is shown in FIG. 5.



FIG. 5 is a graph illustrating an example of measured track profiles including an original central test track (TPC), residual tracks (TPR), and aggressor tracks (TPN1, TPN2, TPN3, TPP1, TPP2, TPP3) in accordance with one embodiment of the invention. The vertical axis shows the track-averaged amplitude in millivolts (mV), and the horizontal axis shows the radial offset in micro-inches (uin). On each side of the center track the aggressor tracks are written in different sectors and at different off-track locations. The positioning of the aggressor tracks at multiple locations results in residual center profiles (TPR) with various peak amplitudes and central locations. One feature related to aspects of this novel process involves the observation that conventional techniques rely on either raw or numerically corrected off-track positions reported by the piezo actuator, whereas the present techniques can measure the actual location where the aggressors tracks have been written, thus reducing both the repeatable (systematic) and non-repeatable (non-systematic) radial positioning errors.


The process can estimate the distance between the aggressors located on opposite sides with respect to the central track by using the measured track profiles and the servo correction function for read offsets (determined in block 210).


The servo correction function for read offsets is used to correct the track profiles of the aggressor tracks such that TPN1, TPN2, TPN3 are converted to corrTPN1, corrTPN2, corrTPN3. The corrected track profiles from the negative offset side, corrTPN1,2,3, are paired with those from the positive side, corrTPP1,2,3, to calculate the distance between them where the aggressor distance (i,j) or “aggr_disti,j” is equal to the distance between (corrTPNi, corrTPPj). Several techniques can be used to calculate the distance between two track profiles. In one embodiment, for example, the process can use the algorithm implemented in the U.S. patent application Ser. No. 13/115,307, incorporated by reference above, where the two aggressor tracks are re-sampled at equal values of amplitude and numerically offset-shifted to find the optimal overlap of the track profiles in a least-squares sense. In other embodiments, other suitable techniques can be used.


With the squeeze measurement values determined in block 212 and the aggressor distances estimated in block 216, the process can provide the dependence of a squeeze measurement on the aggressor distance, or Squeeze(aggr_disti,j). In one aspect, this dependence is linear for the range of parameters that are typically used in head/media testing. The slope and intercept of the Squeeze(aggr_disti,j) can be used to calculate squeeze at the desired aggressor_offset0, thus overcoming issues caused by the finite radial step size of the piezo actuator described above. This is another feature of the present process that allows the user to overcome the hardware limitation associated with the finite step size of the radial positioning system. An example of Squeeze(aggr_disti,j) dependence is shown in FIG. 6.



FIG. 6 is a graph illustrating a squeeze test measurement as a function of the distance between aggressor tracks in accordance with one embodiment of the invention. The vertical axis represents squeeze in percent, and the horizontal axis represents the aggressor distance in uin. The vertical grid lines represent radial offsets that are accessible to the piezo actuator (integer multiples of the step size). As described above for one exemplary embodiment, the three aggressor tracks on each side of the central track can result in nine values of aggressor distance. In the absence of any servo correction, the aggressor distances reported back by the piezo actuator are multiples of its finite step size (e.g., circular points 402 along lower line 404), as opposed to the more accurate values which are estimated by embodiments of the present algorithm (e.g., circular points 406 along upper line 408). The novel processes described herein can report a squeeze measurement value interpolated from the linear dependence at the desired aggressor distance (e.g., larger circular point 410) which is in stark discrepancy with the raw squeeze measurement value (e.g., diamond shaped point 412).


FIG. 2—Block 218:


Returning now to FIG. 2, the process then determines a selected measurement using the estimated distance between the aggressor tracks, and the first and second track profiles of the central track in block 218. In several embodiments, the determination of the selected measurement involves interpolation of measurement data.


In several embodiments, each of the preselected aggressor track offsets from the central track is different for each iteration of the process such that each is unique (e.g., organized to maximize the number of unique track separations).


In several embodiments, track profiles of the central track and/or aggressor tracks can be measured and stored. The track profiles can be thought of as a set of data reflecting the measuring and storing of an amplitude over a preselected radial offset range including the track of interest (e.g., central track or aggressor track).


In some embodiments, the process is performed using a spin stand device such as the one described above and depicted in FIG. 1. In other embodiments, the process may be performed by a hard disk drive as part of a testing sequence. In other embodiments, the process may be performed by other suitable disk testing equipment.


In several embodiments, the process is configured to determine the selected measurement as a squeeze measurement. In other embodiments, the selected measurement is a magnetic track width measurement, a signal to noise ratio measurement, an error margin measurement, a shingled error margin measurement, and/or another measurement that involves writing one or more aggressor tracks adjacent to a central track on a disk.


In several embodiments, the preselected measurement offset is a non-integer multiple of a minimum piezo-step size of a servo sub-component of a test instrument performing the writing the aggressor tracks on each side of the central track. In such case, the process can allow measurements to be made, often by way of interpolation, at locations that a spin stand or other disk testing machine cannot actually write directly to, or measure directly from.


In some embodiments, the process repeatedly writes the aggressor tracks on each side of the central track at the preselected aggressor track offset from the central track for a preselected number of iterations in block 208. In one, embodiment, the preselected number of iterations is about 1 iterations (e.g., for a squeeze measurement). In another embodiment, the preselected number of iterations can be 3, 10, 100, 300, 1000, or 5000 iterations depending on the type of measurement value desired.


In one embodiment, the process 200 can perform the sequence of actions in a different order. In another embodiment, the process can skip one or more of the actions. In other embodiments, one or more of the actions are performed simultaneously. In some embodiments, additional actions can be performed.


In several embodiments, the process can seek to avoid duplicate data. For example, for the case when Npos is equal to Nneg which is also equal to N (see block 208 of the process where sectors are selected for aggressor tracks, and for example equal separations of offsets of sectors 0, 4, 8 in FIG. 4 where only one separation would represent particularly valuable data while the other two might be redundant) the list of aggressor distances in raw, uncorrected units contains duplicates:


3 times: 2*<aggressor_offset0>


2 times: 2*<aggressor_offset0>+N*(piezo actuator step size)


2 times: 2*<aggressor_offset0>−N*(piezo actuator step size)


1 time: 2*<aggressor_offset0>−2*N*(piezo actuator step size)


1 time: 2*<aggressor_offset0>+2*N*(piezo actuator step size)


To avoid this scenario, a non-symmetrical configuration (e.g., where Npos is not equal to Nneg) can be used in measurements on the spinstand. One additional benefit of the non-symmetrical configuration is that the range of aggressor distances becomes wider, and thus the linear fit Squeeze(aggr_disti,j) is more reliable. An example of such data in shown in FIG. 7. The data shows that for one experimental spinstand tester, heads and media, any radial mis-positioning of the aggressor track writes of about plus or minus 0.04 uin (which is the radial step size of the hardware used in an experiment responsible for the data of FIG. 7) results in a squeeze error of about plus or minus 2%.


In several embodiments, the processes and test configurations described herein provide a number of advantages. For example, the processes and test configurations can improve the repeatability of spinstand measurements (e.g., squeeze measurements) over several servo writes by accurately determining where the aggressor tracks have been written. In one aspect, the processes and test configurations do not require additional hardware. In addition, the processes and test configurations can circumvent the hardware limitation imposed by the finite step size of the piezo actuator. The processes and test configurations can also be extended to more complex measurements such as wsSNR and Error Rate/Error Margin with aggressor writes.


To assess some of the benefits of the proposed technique, several sets of measurements have been performed on a commercial Guzik spinstand tester. After writing a servo pattern, ten consecutive measurements were performed with the same testing conditions. A new servo was written and the procedure was repeated. In the end, a total of 100 measurements were performed, with ten new servo writes and ten measurements for each servo write. The goal of this procedure was to assess the repeatability of the measurements. An example of such data which were acquired is shown in FIG. 7.



FIG. 7 is a graph illustrating squeeze test measurement data acquired on a commercial spinstand in a series of repeated measurements with ten servo writes (vertical dashed lines) in accordance with one embodiment of the invention. The vertical axis represents squeeze in percent, and the horizontal axis represents the measurement number. As can be seen in FIG. 7, the data acquired with the servo correction algorithm 502 significantly reduces the scatter in the raw data 506. In addition, the algorithm presented in this application 504 provides the best repeatability of the data. The new algorithm 504 reduces not only the overall data scatter (servo write to servo write) but also the data scatter within a servo write.


The raw data 506, which were measured without enabling the servo correction algorithm, exhibit a significant scatter due to the systematic and non-systematic errors that affect the radial positioning system. The implementation of the servo correction algorithm decreases the data scatter by reducing the systematic errors. However, it appears that the servo correction algorithm cannot reduce the non-systematic errors. The range of squeeze values is larger than about 4%, which is associated with about plus or minus 0.04 uIn (corresponding to about plus or minus 1 nanometer or nm) radial positioning error. The proposed algorithm reduces even further the systematic errors due to the inaccuracies of the servo pattern, as shown in FIG. 7. The range of Squeeze values reported by the proposed algorithm is below about 2%, which is associated with about plus or minus 0.02 uIn (plus or minus 0.5 nm) radial positioning error. Squeeze ranges smaller than 2% have been consistently observed in a number of experiments, also at other radii than a midpoint.


In one aspect, a penalty of the proposed algorithm can be the test time. In some embodiments, for example, the aggressors are written at more than one location on each side of the central track, and the aggressor tracks are profiled, such that the testing time is higher compared to a conventional squeeze algorithm. However, the use of particular sectors can reduce the testing time.


It shall be appreciated by those skilled in the art in view of the present disclosure that although various exemplary fabrication methods are discussed herein with reference to magnetic recording disks, the methods, with or without some modifications, may be used for fabricating other types of recording disks, for example, optical recording disks such as a compact disc (CD) and a digital-versatile-disk (DVD), or magneto-optical recording disks, or ferroelectric data storage devices.


While the above description contains many specific embodiments of the invention, these should not be construed as limitations on the scope of the invention, but rather as examples of specific embodiments thereof. Accordingly, the scope of the invention should be determined not by the embodiments illustrated, but by the appended claims and their equivalents.


For example, in several embodiments, the methods described herein can be used to improve disk media characterization of magnetic disks used in hard disk drives. However, in other embodiments, the methods described herein can be used to improve spinstand testing of other devices under test.


The various features and processes described above may be used independently of one another, or may be combined in various ways. All possible combinations and sub-combinations are intended to fall within the scope of this disclosure. In addition, certain method, event, state or process blocks may be omitted in some implementations. The methods and processes described herein are also not limited to any particular sequence, and the blocks or states relating thereto can be performed in other sequences that are appropriate. For example, described tasks or events may be performed in an order other than that specifically disclosed, or multiple may be combined in a single block or state. The example tasks or events may be performed in serial, in parallel, or in some other suitable manner. Tasks or events may be added to or removed from the disclosed example embodiments. The example systems and components described herein may be configured differently than described. For example, elements may be added to, removed from, or rearranged compared to the disclosed example embodiments.

Claims
  • 1. A method for improving measurements involving aggressor tracks, the method comprising: (a) erasing a circumferential band of a disk;(b) writing a central track on the circumferential band of the disk;(c) measuring and storing a first track profile of the central track;(d) writing an aggressor track on each side of the central track at a preselected aggressor track offset from the central track;(e) measuring and storing a track profile of the aggressor tracks at the preselected aggressor track offset from the central track;(f) measuring and storing a second track profile of the central track;performing (a) through (f) exactly n times where n is greater than or equal to 1;determining an estimated distance between the aggressor tracks based on the respective track profiles; anddetermining a selected measurement using the estimated distance between the aggressor tracks, and the first and second track profiles of the central track.
  • 2. The method of claim 1: wherein n is greater than or equal to 2;wherein for each iteration of (a) through (f) of the method, the preselected aggressor track offset from the central track is unique; andwherein the determining the selected measurement using the estimated distance between the aggressor tracks, and the first and second track profiles of the central track comprises determining the selected measurement at a preselected offset from the central track using interpolation, the estimated distance between the aggressor tracks for each iteration, and the first and second track profiles of the central track.
  • 3. The method of claim 2: wherein the (d) writing the aggressor track on each side of the central track at the preselected aggressor track offset from the central track comprises writing the aggressor track on each side of the central track at the preselected aggressor track offset from the central track in preselected sectors of the disk; andwherein the (e) measuring and storing the track profile of the aggressor tracks comprises measuring and storing the track profile of the aggressor write tracks at the preselected aggressor track offset from the central track and the preselected sectors of the disk.
  • 4. The method of claim 3, further comprising selecting the preselected aggressor track offsets and the preselected sectors such that for a preselected group of the preselected sectors, each combination of the preselected aggressor track offsets for a particular sector are unique.
  • 5. The method of claim 4, wherein n is equal to or greater than 3 such that at least 3 iterations of (a) through (f) are performed.
  • 6. The method of claim 5, wherein the preselected group of the preselected sectors is 9 sectors.
  • 7. The method of claim 6, wherein the writing the aggressor track on each side of the central track at the preselected aggressor track offset from the central track in preselected sectors of the disk comprises: (g) writing 1 sector for every 3 consecutive sectors on a first side of the central track;(h) writing 3 consecutive sectors for every 9 consecutive sectors on a second side of the central track; andperforming (g) and (h) exactly 3 times at 3 different preselected aggressor track offsets.
  • 8. The method of claim 1, wherein for each iteration of (a) through (f) of the method, the preselected aggressor track offset from the central track is unique.
  • 9. The method of claim 1, wherein n is equal to or greater than 3 such that at least 3 iterations of (a) through (f) are performed.
  • 10. The method of claim 1: wherein the measuring and storing the first track profile of the central track comprises measuring and storing an amplitude over a preselected radial offset range comprising the central track; andwherein measuring and storing the track profile of the aggressor tracks at the preselected aggressor track offset from the central track comprises measuring and storing an amplitude over a preselected radial offset range comprising a respective one of the aggressor tracks.
  • 11. The method of claim 1: wherein the (e) measuring and storing the track profile of the aggressor tracks at the preselected aggressor track offset from the central track comprises: performing a servo calibration procedure and thereby generating a read offset correction table; andapplying the read offset correction table to the track profiles of the aggressor tracks thereby generating corrected track profiles of the aggressor tracks, andwherein the determining the estimated distance between the aggressor tracks based on the respective track profiles comprises determining the estimated distance between the aggressor tracks based on the respective corrected track profiles.
  • 12. The method of claim 11, wherein the performing the servo calibration procedure and thereby generating the read offset correction table comprises: writing a series of tracks over a range of read offsets to be calibrated;measuring a set of raw track profiles from the series of tracks;sampling the set of raw track profiles at a series of signal amplitude levels;constructing a reference track profile from the set of sampled track profiles;calculating a set of read offset deltas from each sampled track profile; andmerging the sets of read offset deltas into a set of average read offset deltas stored in the read offset correction table.
  • 13. The method of claim 1, wherein the method is performed using a test instrument selected from the group consisting of a spin stand and a hard disk drive.
  • 14. The method of claim 1, wherein the selected measurement is selected from the group consisting of a squeeze measurement, a magnetic track width measurement, a signal to noise ratio measurement, an error margin measurement, a shingled error margin measurement, and combinations thereof.
  • 15. The method of claim 1, wherein the preselected measurement offset comprises a non-integer multiple of a minimum piezo-step size of a servo of a test instrument performing the writing the aggressor track on each side of the central track.
  • 16. The method of claim 1, wherein the writing the aggressor track on each side of the central track at the preselected aggressor track offset from the central track comprises repeatedly writing the aggressor tracks on each side of the central track at the preselected aggressor track offset from the central track for a preselected number of iterations.
  • 17. A system for improving measurements involving aggressor tracks, the system comprising: a test platform configured to receive, support, and rotate a disk configured for magnetic information storage;a magnetic transducer configured to write to, and read from, the disk;a memory;a processor coupled to the memory, the magnetic transducer, and the test platform, the processor configured to: (a) erase a circumferential band of a disk;(b) write a central track on the circumferential band of the disk;(c) measure and store a first track profile of the central track;(d) write an aggressor track on each side of the central track at a preselected aggressor track offset from the central track;(e) measure and store a track profile of the aggressor tracks at the preselected aggressor track offset from the central track;(f) measure and store a second track profile of the central track;perform (a) through (f) exactly n times where n is greater than or equal to 1;determine an estimated distance between the aggressor tracks based on the respective track profiles; anddetermine a selected measurement using the estimated distance between the aggressor tracks, and the first and second track profiles of the central track.
  • 18. The system of claim 17: wherein n is greater than or equal to 2;wherein for each iteration of (a) through (f), the preselected aggressor track offset from the central track is unique; andwherein the processor is further configured to determine the selected measurement at a preselected offset from the central track using interpolation, the estimated distance between the aggressor tracks for each iteration, and the first and second track profiles of the central track.
  • 19. The system of claim 18: wherein the processor is configured to write the aggressor track on each side of the central track at the preselected aggressor track offset from the central track in preselected sectors of the disk; andwherein the processor is configured to measure and store the track profile of the aggressor tracks at the preselected aggressor track offset from the central track at the preselected sectors of the disk.
  • 20. The system of claim 19, wherein the processor is further configured to select the preselected aggressor track offsets and the preselected sectors such that for a preselected group of the preselected sectors, each combination of the preselected aggressor track offsets for a particular sector are unique.
  • 21. The system of claim 20, wherein n is equal to or greater than 3 such that at least 3 iterations of (a) through (f) are performed.
  • 22. The system of claim 21, wherein the preselected group of the preselected sectors is 9 sectors.
  • 23. The system of claim 22, wherein the processor is configured to write the aggressor track on each side of the central track at the preselected aggressor track offset from the central track in the preselected sectors of the disk by: (g) writing 1 sector for every 3 consecutive sectors on a first side of the central track;(h) writing 3 consecutive sectors for every 9 consecutive sectors on a second side of the central track; andperforming (g) and (h) exactly 3 times at 3 different preselected aggressor track offsets.
  • 24. The system of claim 17, wherein for each iteration of (a) through (f), the preselected aggressor track offset from the central track is unique.
  • 25. The system of claim 17, wherein n is equal to or greater than 3 such that at least 3 iterations of (a) through (f) are performed.
  • 26. The system of claim 17: wherein the processor is configured to measure and store the first track profile by measuring and storing an amplitude over a preselected radial offset range comprising the central track;wherein the processor is configured to measure and store the track profile of the aggressor tracks by measuring and storing an amplitude over a preselected radial offset range comprising a respective one of the aggressor tracks.
  • 27. The system of claim 17: wherein the processor is further configured to: perform a servo calibration procedure and thereby generating a read offset correction table;apply the read offset correction table to the track profiles of the aggressor tracks thereby generating corrected track profiles of the aggressor tracks; anddetermine the estimated distance between the aggressor tracks based on the respective corrected track profiles.
  • 28. The system of claim 27, wherein the processor is further configured to: write a series of tracks over a range of read offsets to be calibrated;measure a set of raw track profiles from the series of tracks;sample the set of raw track profiles at a series of signal amplitude levels;construct a reference track profile from the set of sampled track profiles;calculate a set of read offset deltas from each sampled track profile; andmerge the sets of read offset deltas into a set of average read offset deltas stored in the read offset correction table.
  • 29. The system of claim 17, wherein the system comprises a test instrument selected from the group consisting of a spin stand and a hard disk drive.
  • 30. The system of claim 17, wherein the selected measurement is selected from the group consisting of a squeeze measurement, a magnetic track width measurement, a signal to noise ratio measurement, an error margin measurement, a shingled error margin measurement and combinations thereof.
  • 31. The system of claim 17, wherein the preselected measurement offset comprises a non-integer multiple of a minimum piezo-step size of a servo of a test instrument performing the writing the aggressor track on each side of the central track.
  • 32. The system of claim 17, wherein the processor is configured to repeatedly write the aggressor tracks on each side of the central track at the preselected aggressor track offset from the central track for a preselected number of iterations.
CROSS-REFERENCE TO RELATED APPLICATION(S)

This application claims priority to and the benefit of U.S. Provisional Application No. 61/809,231, filed on Apr. 5, 2013, entitled, “METHODS FOR IMPROVING THE ACCURACY OF SPINSTAND MEASUREMENTS INVOLVING AGGRESSOR WRITES”, the entire content of which is incorporated herein by reference.

US Referenced Citations (348)
Number Name Date Kind
4513333 Young et al. Apr 1985 A
6013161 Chen et al. Jan 2000 A
6063248 Bourez et al. May 2000 A
6068891 O'Dell et al. May 2000 A
6086730 Liu et al. Jul 2000 A
6099981 Nishimori Aug 2000 A
6103404 Ross et al. Aug 2000 A
6117499 Wong et al. Sep 2000 A
6136403 Prabhakara et al. Oct 2000 A
6143375 Ross et al. Nov 2000 A
6145849 Bae et al. Nov 2000 A
6146737 Malhotra et al. Nov 2000 A
6149696 Jia Nov 2000 A
6150015 Bertero et al. Nov 2000 A
6156404 Ross et al. Dec 2000 A
6159076 Sun et al. Dec 2000 A
6164118 Suzuki et al. Dec 2000 A
6200441 Gornicki et al. Mar 2001 B1
6204995 Hokkyo et al. Mar 2001 B1
6206765 Sanders et al. Mar 2001 B1
6210819 Lal et al. Apr 2001 B1
6216709 Fung et al. Apr 2001 B1
6221119 Homola Apr 2001 B1
6248395 Homola et al. Jun 2001 B1
6261681 Suekane et al. Jul 2001 B1
6265868 Richter Jul 2001 B1
6270885 Hokkyo et al. Aug 2001 B1
6274063 Li et al. Aug 2001 B1
6283838 Blake et al. Sep 2001 B1
6287429 Moroishi et al. Sep 2001 B1
6290573 Suzuki Sep 2001 B1
6299947 Suzuki et al. Oct 2001 B1
6303217 Malhotra et al. Oct 2001 B1
6309765 Suekane et al. Oct 2001 B1
6358636 Yang et al. Mar 2002 B1
6362452 Suzuki et al. Mar 2002 B1
6363599 Bajorek Apr 2002 B1
6365012 Sato et al. Apr 2002 B1
6381090 Suzuki et al. Apr 2002 B1
6381092 Suzuki Apr 2002 B1
6387483 Hokkyo et al. May 2002 B1
6391213 Homola May 2002 B1
6395349 Salamon May 2002 B1
6403919 Salamon Jun 2002 B1
6408677 Suzuki Jun 2002 B1
6426157 Hokkyo et al. Jul 2002 B1
6429984 Alex Aug 2002 B1
6482330 Bajorek Nov 2002 B1
6482505 Bertero et al. Nov 2002 B1
6500567 Bertero et al. Dec 2002 B1
6528124 Nguyen Mar 2003 B1
6548821 Treves et al. Apr 2003 B1
6552871 Suzuki et al. Apr 2003 B2
6565719 Lairson et al. May 2003 B1
6566674 Treves et al. May 2003 B1
6571806 Rosano et al. Jun 2003 B2
6628466 Alex Sep 2003 B2
6650491 Suzuki et al. Nov 2003 B2
6664503 Hsieh et al. Dec 2003 B1
6670055 Tomiyasu et al. Dec 2003 B2
6682807 Lairson et al. Jan 2004 B2
6683754 Suzuki et al. Jan 2004 B2
6730420 Bertero et al. May 2004 B1
6743528 Suekane et al. Jun 2004 B2
6759138 Tomiyasu et al. Jul 2004 B2
6778353 Harper Aug 2004 B1
6795274 Hsieh et al. Sep 2004 B1
6801377 Kasajima et al. Oct 2004 B2
6855232 Jairson et al. Feb 2005 B2
6857937 Bajorek Feb 2005 B2
6893748 Bertero et al. May 2005 B2
6899959 Bertero et al. May 2005 B2
6916558 Umezawa et al. Jul 2005 B2
6939120 Harper Sep 2005 B1
6946191 Morikawa et al. Sep 2005 B2
6967798 Homola et al. Nov 2005 B2
6972135 Homola Dec 2005 B2
7004827 Suzuki et al. Feb 2006 B1
7006323 Suzuki Feb 2006 B1
7016154 Nishihira Mar 2006 B2
7019924 McNeil et al. Mar 2006 B2
7045215 Shimokawa May 2006 B2
7070870 Bertero et al. Jul 2006 B2
7088535 Kim et al. Aug 2006 B2
7090934 Hokkyo et al. Aug 2006 B2
7099112 Harper Aug 2006 B1
7105241 Shimokawa et al. Sep 2006 B2
7119990 Bajorek et al. Oct 2006 B2
7147790 Wachenschwanz et al. Dec 2006 B2
7161753 Wachenschwanz et al. Jan 2007 B2
7166319 Ishiyama Jan 2007 B2
7166374 Suekane et al. Jan 2007 B2
7169487 Kawai et al. Jan 2007 B2
7174775 Ishiyama Feb 2007 B2
7179549 Malhotra et al. Feb 2007 B2
7184139 Treves et al. Feb 2007 B2
7196860 Alex Mar 2007 B2
7199977 Suzuki et al. Apr 2007 B2
7208236 Morikawa et al. Apr 2007 B2
7220500 Tomiyasu et al. May 2007 B1
7229266 Harper Jun 2007 B2
7239970 Treves et al. Jul 2007 B2
7252897 Shimokawa et al. Aug 2007 B2
7277254 Shimokawa et al. Oct 2007 B2
7281920 Homola et al. Oct 2007 B2
7292329 Treves et al. Nov 2007 B2
7301726 Suzuki Nov 2007 B1
7302148 Treves et al. Nov 2007 B2
7305119 Treves et al. Dec 2007 B2
7314404 Singh et al. Jan 2008 B2
7320584 Harper et al. Jan 2008 B1
7329114 Harper et al. Feb 2008 B2
7375362 Treves et al. May 2008 B2
7420886 Tomiyasu et al. Sep 2008 B2
7425719 Treves et al. Sep 2008 B2
7457075 Liu et al. Nov 2008 B2
7471484 Wachenschwanz et al. Dec 2008 B2
7498062 Calcaterra et al. Mar 2009 B2
7529050 Shen et al. May 2009 B2
7531485 Hara et al. May 2009 B2
7537846 Ishiyama et al. May 2009 B2
7549209 Wachenschwanz et al. Jun 2009 B2
7569490 Staud Aug 2009 B2
7597792 Homola et al. Oct 2009 B2
7597973 Ishiyama Oct 2009 B2
7608193 Wachenschwanz et al. Oct 2009 B2
7632087 Homola Dec 2009 B2
7639447 Yu et al. Dec 2009 B1
7656615 Wachenschwanz et al. Feb 2010 B2
7663835 Yu et al. Feb 2010 B1
7682546 Harper Mar 2010 B2
7684152 Suzuki et al. Mar 2010 B2
7686606 Harper et al. Mar 2010 B2
7686991 Harper Mar 2010 B2
7695833 Ishiyama Apr 2010 B2
7722968 Ishiyama May 2010 B2
7733605 Suzuki et al. Jun 2010 B2
7736768 Ishiyama Jun 2010 B2
7755861 Li et al. Jul 2010 B1
7758732 Calcaterra et al. Jul 2010 B1
7768729 Moser et al. Aug 2010 B2
7833639 Sonobe et al. Nov 2010 B2
7833641 Tomiyasu et al. Nov 2010 B2
7843658 Kiyono Nov 2010 B2
7903366 Michinaga Mar 2011 B2
7907361 Deng et al. Mar 2011 B2
7910159 Jung Mar 2011 B2
7911736 Bajorek Mar 2011 B2
7924519 Lambert Apr 2011 B2
7944165 O'Dell May 2011 B1
7944643 Jiang et al. May 2011 B1
7955723 Umezawa et al. Jun 2011 B2
7982989 Shi et al. Jul 2011 B1
7983003 Sonobe et al. Jul 2011 B2
7993497 Moroishi et al. Aug 2011 B2
7993765 Kim et al. Aug 2011 B2
7998912 Chen et al. Aug 2011 B2
8002901 Chen et al. Aug 2011 B1
8003237 Sonobe et al. Aug 2011 B2
8012920 Shimokawa Sep 2011 B2
8038863 Homola Oct 2011 B2
8057926 Ayama et al. Nov 2011 B2
8062778 Suzuki et al. Nov 2011 B2
8064156 Suzuki et al. Nov 2011 B1
8076013 Sonobe et al. Dec 2011 B2
8092931 Ishiyama et al. Jan 2012 B2
8100685 Harper et al. Jan 2012 B1
8101054 Chen et al. Jan 2012 B2
8125723 Nichols et al. Feb 2012 B1
8125724 Nichols et al. Feb 2012 B1
8137517 Bourez Mar 2012 B1
8142916 Umezawa et al. Mar 2012 B2
8163093 Chen et al. Apr 2012 B1
8171949 Lund et al. May 2012 B1
8173282 Sun et al. May 2012 B1
8178480 Hamakubo et al. May 2012 B2
8189286 Chen et al. May 2012 B1
8206789 Suzuki Jun 2012 B2
8218260 Iamratanakul et al. Jul 2012 B2
8247095 Champion et al. Aug 2012 B2
8257783 Suzuki et al. Sep 2012 B2
8298609 Liew et al. Oct 2012 B1
8298689 Sonobe et al. Oct 2012 B2
8309239 Umezawa et al. Nov 2012 B2
8316668 Chan et al. Nov 2012 B1
8331056 O'Dell Dec 2012 B2
8354618 Chen et al. Jan 2013 B1
8367228 Sonobe et al. Feb 2013 B2
8383209 Ayama Feb 2013 B2
8394243 Jung et al. Mar 2013 B1
8397751 Chan et al. Mar 2013 B1
8399809 Bourez Mar 2013 B1
8402638 Treves et al. Mar 2013 B1
8404056 Chen et al. Mar 2013 B1
8404369 Ruffini et al. Mar 2013 B2
8404370 Sato et al. Mar 2013 B2
8406918 Tan et al. Mar 2013 B2
8414966 Yasumori et al. Apr 2013 B2
8425975 Ishiyama Apr 2013 B2
8431257 Kim et al. Apr 2013 B2
8431258 Onoue et al. Apr 2013 B2
8441750 Nangare et al. May 2013 B1
8453315 Kajiwara et al. Jun 2013 B2
8488276 Jung et al. Jul 2013 B1
8491800 Dorsey Jul 2013 B1
8492009 Homola et al. Jul 2013 B1
8492011 Itoh et al. Jul 2013 B2
8496466 Treves et al. Jul 2013 B1
8517364 Crumley et al. Aug 2013 B1
8517657 Chen et al. Aug 2013 B2
8524052 Tan et al. Sep 2013 B1
8530065 Chernyshov et al. Sep 2013 B1
8546000 Umezawa Oct 2013 B2
8551253 Na'im et al. Oct 2013 B2
8551627 Shimada et al. Oct 2013 B2
8556566 Suzuki et al. Oct 2013 B1
8559131 Masuda et al. Oct 2013 B2
8562748 Chen et al. Oct 2013 B1
8565050 Bertero et al. Oct 2013 B1
8570844 Yuan et al. Oct 2013 B1
8576507 Rub Nov 2013 B2
8580410 Onoue Nov 2013 B2
8584687 Chen et al. Nov 2013 B1
8591709 Lim et al. Nov 2013 B1
8592061 Onoue et al. Nov 2013 B2
8596287 Chen et al. Dec 2013 B1
8597723 Jung et al. Dec 2013 B1
8603649 Onoue Dec 2013 B2
8603650 Sonobe et al. Dec 2013 B2
8605388 Yasumori et al. Dec 2013 B2
8605555 Chernyshov et al. Dec 2013 B1
8608147 Yap et al. Dec 2013 B1
8609263 Chernyshov et al. Dec 2013 B1
8619381 Moser et al. Dec 2013 B2
8623528 Umezawa et al. Jan 2014 B2
8623529 Suzuki Jan 2014 B2
8625224 Lin et al. Jan 2014 B1
8634155 Yasumori et al. Jan 2014 B2
8658003 Bourez Feb 2014 B1
8658292 Mallary et al. Feb 2014 B1
8665541 Saito Mar 2014 B2
8668953 Buechel-Rimmel Mar 2014 B1
8674327 Poon et al. Mar 2014 B1
8685214 Moh et al. Apr 2014 B1
8696404 Sun et al. Apr 2014 B2
8711499 Desai et al. Apr 2014 B1
8743495 Chen et al. Jun 2014 B1
8743666 Bertero et al. Jun 2014 B1
8758912 Srinivasan et al. Jun 2014 B2
8787124 Chernyshov et al. Jul 2014 B1
8787130 Yuan et al. Jul 2014 B1
8791391 Bourez Jul 2014 B2
8795765 Koike et al. Aug 2014 B2
8795790 Sonobe et al. Aug 2014 B2
8795857 Ayama et al. Aug 2014 B2
8800322 Chan et al. Aug 2014 B1
8811129 Yuan et al. Aug 2014 B1
8817410 Moser et al. Aug 2014 B1
8837065 Mircea et al. Sep 2014 B1
20020060883 Suzuki May 2002 A1
20030022024 Wachenschwanz Jan 2003 A1
20030072097 Li et al. Apr 2003 A1
20040022387 Weikle Feb 2004 A1
20040132301 Harper et al. Jul 2004 A1
20040202793 Harper et al. Oct 2004 A1
20040202865 Homola et al. Oct 2004 A1
20040209123 Bajorek et al. Oct 2004 A1
20040209470 Bajorek Oct 2004 A1
20050036223 Wachenschwanz et al. Feb 2005 A1
20050142990 Homola Jun 2005 A1
20050150862 Harper et al. Jul 2005 A1
20050151282 Harper et al. Jul 2005 A1
20050151283 Bajorek et al. Jul 2005 A1
20050151300 Harper et al. Jul 2005 A1
20050155554 Saito Jul 2005 A1
20050167867 Bajorek et al. Aug 2005 A1
20050263401 Olsen et al. Dec 2005 A1
20060147758 Jung et al. Jul 2006 A1
20060181697 Treves et al. Aug 2006 A1
20060207890 Staud Sep 2006 A1
20070070549 Suzuki et al. Mar 2007 A1
20070245909 Homola Oct 2007 A1
20080062550 Lu Mar 2008 A1
20080075845 Sonobe et al. Mar 2008 A1
20080093760 Harper et al. Apr 2008 A1
20090117408 Umezawa et al. May 2009 A1
20090136784 Suzuki et al. May 2009 A1
20090169922 Ishiyama Jul 2009 A1
20090191331 Umezawa et al. Jul 2009 A1
20090202866 Kim et al. Aug 2009 A1
20090311557 Onoue et al. Dec 2009 A1
20100143752 Ishibashi et al. Jun 2010 A1
20100190035 Sonobe et al. Jul 2010 A1
20100196619 Ishiyama Aug 2010 A1
20100196740 Ayama et al. Aug 2010 A1
20100209601 Shimokawa et al. Aug 2010 A1
20100215992 Horikawa et al. Aug 2010 A1
20100232065 Suzuki et al. Sep 2010 A1
20100247965 Onoue Sep 2010 A1
20100261039 Itoh et al. Oct 2010 A1
20100279151 Sakamoto et al. Nov 2010 A1
20100300884 Homola et al. Dec 2010 A1
20100304186 Shimokawa Dec 2010 A1
20110097603 Onoue Apr 2011 A1
20110097604 Onoue Apr 2011 A1
20110171495 Tachibana et al. Jul 2011 A1
20110206947 Tachibana et al. Aug 2011 A1
20110212346 Onoue et al. Sep 2011 A1
20110223446 Onoue et al. Sep 2011 A1
20110244119 Umezawa et al. Oct 2011 A1
20110299194 Aniya et al. Dec 2011 A1
20110311841 Saito et al. Dec 2011 A1
20120069466 Okamoto et al. Mar 2012 A1
20120070692 Sato et al. Mar 2012 A1
20120077060 Ozawa Mar 2012 A1
20120127599 Shimokawa et al. May 2012 A1
20120127601 Suzuki et al. May 2012 A1
20120129009 Sato et al. May 2012 A1
20120140359 Tachibana Jun 2012 A1
20120141833 Umezawa et al. Jun 2012 A1
20120141835 Sakamoto Jun 2012 A1
20120148875 Hamakubo et al. Jun 2012 A1
20120156523 Seki et al. Jun 2012 A1
20120164488 Shin et al. Jun 2012 A1
20120170152 Sonobe et al. Jul 2012 A1
20120171369 Koike et al. Jul 2012 A1
20120175243 Fukuura et al. Jul 2012 A1
20120189872 Umezawa et al. Jul 2012 A1
20120196049 Azuma et al. Aug 2012 A1
20120207919 Sakamoto et al. Aug 2012 A1
20120225217 Itoh et al. Sep 2012 A1
20120251842 Yuan et al. Oct 2012 A1
20120251846 Desai et al. Oct 2012 A1
20120276417 Shimokawa et al. Nov 2012 A1
20120300327 Moser et al. Nov 2012 A1
20120308722 Suzuki et al. Dec 2012 A1
20130040167 Alagarsamy et al. Feb 2013 A1
20130071694 Srinivasan et al. Mar 2013 A1
20130165029 Sun et al. Jun 2013 A1
20130175252 Bourez Jul 2013 A1
20130216865 Yasumori et al. Aug 2013 A1
20130230647 Onoue et al. Sep 2013 A1
20130314815 Yuan et al. Nov 2013 A1
20140011054 Suzuki Jan 2014 A1
20140044992 Onoue Feb 2014 A1
20140050843 Yi et al. Feb 2014 A1
20140151360 Landdell et al. Jun 2014 A1
20140234666 Knigge et al. Aug 2014 A1
Non-Patent Literature Citations (1)
Entry
U.S. Appl. No. 13/115,307, filed May 25, 2011, to Andreas Moser et al., 39 pages.
Provisional Applications (1)
Number Date Country
61809231 Apr 2013 US